Articles | Volume 13, issue 8
https://doi.org/10.5194/acp-13-3945-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-3945-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| Highlight paper
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17 Apr 2013
Review article | Highlight paper |
| 17 Apr 2013
Recent variability of the solar spectral irradiance and its impact on climate modelling
I. Ermolli
INAF, Osservatorio Astronomico di Roma, Monte Porzio Catone, Italy
K. Matthes
GEOMAR I Helmholtz-Zentrum für Ozeanforschung Kiel, Kiel, Germany
T. Dudok de Wit
LPC2E, CNRS and University of Orléans, Orléans, France
N. A. Krivova
Max-Planck-Institut für Sonnensystemforschung, 37191 Katlenburg-Lindau, Germany
K. Tourpali
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Greece
Institut für Umweltphysik, Universität Bremen FB1, Bremen, Germany
Y. C. Unruh
Astrophysics Group, Blackett Laboratory, Imperial College London, SW7 2AZ, UK
L. Gray
Centre for Atmospheric Sciences, Dept. of Atmospheric, Oceanic and Planetary Physics, University of Oxford, UK
U. Langematz
Institut für Meteorologie, Freie Universität Berlin, Berlin, Germany
P. Pilewskie
University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, CO, USA
E. Rozanov
Physikalisch-Meteorologisches Observatorium, World Radiation Center, Davos Dorf, Switzerland
IAC ETH, Zurich, Switzerland
W. Schmutz
Physikalisch-Meteorologisches Observatorium, World Radiation Center, Davos Dorf, Switzerland
A. Shapiro
Physikalisch-Meteorologisches Observatorium, World Radiation Center, Davos Dorf, Switzerland
S. K. Solanki
Max-Planck-Institut für Sonnensystemforschung, 37191 Katlenburg-Lindau, Germany
School of Space Research, Kyung Hee University, Yongin, Gyeonggi 46-701, Republic of Korea
T. N. Woods
University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, CO, USA
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Miriam Sinnhuber, Christina Arras, Stefan Bender, Bernd Funke, Hanli Liu, Daniel R. Marsh, Thomas Reddmann, Eugene Rozanov, Timofei Sukhodolov, Monika E. Szelag, and Jan Maik Wissing
Atmos. Chem. Phys., 25, 14719–14734, https://doi.org/10.5194/acp-25-14719-2025, https://doi.org/10.5194/acp-25-14719-2025, 2025
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Nitric oxide in the upper atmosphere varies with solar activity. Observations show that this starts a chain of processes affecting the ozone layer and climate system. This is often underestimated in models. We compare five models which show large differences in simulated NO. Analysis of these discrepancies identify two processes which interact with each other: the balance between atomic and molecular oxygen in the thermosphere, and a poleward - downward transport in the winter thermosphere.
Andrew J. Buggee and Peter Pilewskie
Atmos. Meas. Tech., 18, 5299–5320, https://doi.org/10.5194/amt-18-5299-2025, https://doi.org/10.5194/amt-18-5299-2025, 2025
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This research aimed to improve our understanding of cloud structure using spaceborne measurements. The study applied an optimal estimation method to determine how cloud droplet sizes change with height, using satellite data and coincident aircraft measurements for validation. It found that current space-borne spectrometers lack the accuracy to fully resolve this vertical structure, but upcoming instruments like CLARREO (Climate Absolute Radiance and Refractivity Earth Observatory) Pathfinder will significantly enhance this capability.
Carlo Arosio, Viktoria Sofieva, Andrea Orfanoz-Cheuquelaf, Alexei Rozanov, Klaus-Peter Heue, Diego Loyola, Edward Malina, Ryan M. Stauffer, David Tarasick, Roeland Van Malderen, Jerry R. Ziemke, and Mark Weber
Atmos. Meas. Tech., 18, 3247–3265, https://doi.org/10.5194/amt-18-3247-2025, https://doi.org/10.5194/amt-18-3247-2025, 2025
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Tropospheric ozone affects air quality and climate, being a pollutant and a greenhouse gas. We analyze satellite data of tropospheric ozone columns obtained by combining two types of observations: one providing stratospheric and the other total ozone. We compare common climatological features and study the influence of the tropopause (troposphere to stratosphere boundary) on the results. We also examine trends over the last 20 years and compare satellite data with ozonesondes to identify drifts.
Hannah E. Kessenich, Annika Seppälä, Dan Smale, Craig J. Rodger, and Mark Weber
EGUsphere, https://doi.org/10.5194/egusphere-2025-873, https://doi.org/10.5194/egusphere-2025-873, 2025
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We use observational data to track a mass of mesospheric air which descends into the Antarctic polar vortex each spring. The altitude of the air mass at the end of October is used to create a new diagnostic metric. The metric captures the dynamical conditions of the vortex and can be used to estimate the amount of poleward ozone transport in October. When used as a proxy for October polar total column ozone, the metric explains the majority (63%) of the observed variance from 2004–2024.
Ales Kuchar, Timofei Sukhodolov, Gabriel Chiodo, Andrin Jörimann, Jessica Kult-Herdin, Eugene Rozanov, and Harald H. Rieder
Atmos. Chem. Phys., 25, 3623–3634, https://doi.org/10.5194/acp-25-3623-2025, https://doi.org/10.5194/acp-25-3623-2025, 2025
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In January 2022, the Hunga Tonga–Hunga Ha'apai (HTHH) volcano erupted, sending massive amounts of water vapour into the atmosphere. This event had a significant impact on stratospheric and lower-mesospheric chemical composition. Two years later, stratospheric conditions were disturbed during so-called sudden stratospheric warmings. Here we simulate a novel pathway by which this water-rich eruption may have contributed to conditions during these events and consequently impacted the surface climate.
Wenjuan Huo, Tobias Spiegl, Sebastian Wahl, Katja Matthes, Ulrike Langematz, Holger Pohlmann, and Jürgen Kröger
Atmos. Chem. Phys., 25, 2589–2612, https://doi.org/10.5194/acp-25-2589-2025, https://doi.org/10.5194/acp-25-2589-2025, 2025
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Uncertainties of the solar signals in the middle atmosphere are assessed based on large ensemble simulations with multiple climate models. Our results demonstrate that the 11-year solar signals in the shortwave heating rate, temperature, and ozone anomalies are significant and robust. The simulated dynamical responses are model-dependent, and solar imprints in the polar night jet are influenced by biases in the model used.
Swathi Maratt Satheesan, Kai-Uwe Eichmann, Mark Weber, Roeland Van Malderen, Ryan Stauffer, and David Tarasick
EGUsphere, https://doi.org/10.5194/egusphere-2025-306, https://doi.org/10.5194/egusphere-2025-306, 2025
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This study presents the CLCD (CHORA Local Cloud Decision) algorithm for retrieving near-global tropospheric ozone using TROPOMI data. The approach refines the Convective Cloud Differential method by using a local cloud reference sector to minimize errors from stratospheric ozone variability, particularly in mid-latitudes. Validation against ground-based data shows good accuracy, highlighting its potential for improving air quality monitoring and supporting current and future satellite missions.
Swathi Maratt Satheesan, Kai-Uwe Eichmann, John P. Burrows, Mark Weber, Ryan Stauffer, Anne M. Thompson, and Debra Kollonige
Atmos. Meas. Tech., 17, 6459–6484, https://doi.org/10.5194/amt-17-6459-2024, https://doi.org/10.5194/amt-17-6459-2024, 2024
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CHORA, an advanced cloud convective differential technique, enhances the accuracy of tropospheric-ozone retrievals. Unlike the traditional Pacific cloud reference sector scheme, CHORA introduces a local-cloud reference sector and an alternative approach (CLCT) for precision. Analysing monthly averaged TROPOMI data from 2018 to 2022 and validating with SHADOZ ozonesonde data, CLCT outperforms other methods and so is the preferred choice, especially in future geostationary satellite missions.
Falco Monsees, Alexei Rozanov, John P. Burrows, Mark Weber, Annette Rinke, Ralf Jaiser, and Peter von der Gathen
Atmos. Chem. Phys., 24, 9085–9099, https://doi.org/10.5194/acp-24-9085-2024, https://doi.org/10.5194/acp-24-9085-2024, 2024
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Cyclones strongly influence weather predictability but still cannot be fully characterised in the Arctic because of the sparse coverage of meteorological measurements. A potential approach to compensate for this is the use of satellite measurements of ozone, because cyclones impact the tropopause and therefore also ozone. In this study we used this connection to investigate the correlation between ozone and the tropopause in the Arctic and to identify cyclones with satellite ozone observations.
Mark Weber
Atmos. Meas. Tech., 17, 3597–3604, https://doi.org/10.5194/amt-17-3597-2024, https://doi.org/10.5194/amt-17-3597-2024, 2024
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We investigate how stable the performance of a satellite instrument has to be to be useful for assessing long-term trends in stratospheric ozone. The stability of an instrument is specified in percent per decade and is also called instrument drift. Instrument drifts add to uncertainties of long-term trends. From simulated time series of ozone based on the Monte Carlo approach, we determine stability requirements that are needed to achieve the desired long-term trend uncertainty.
Christina V. Brodowsky, Timofei Sukhodolov, Gabriel Chiodo, Valentina Aquila, Slimane Bekki, Sandip S. Dhomse, Michael Höpfner, Anton Laakso, Graham W. Mann, Ulrike Niemeier, Giovanni Pitari, Ilaria Quaglia, Eugene Rozanov, Anja Schmidt, Takashi Sekiya, Simone Tilmes, Claudia Timmreck, Sandro Vattioni, Daniele Visioni, Pengfei Yu, Yunqian Zhu, and Thomas Peter
Atmos. Chem. Phys., 24, 5513–5548, https://doi.org/10.5194/acp-24-5513-2024, https://doi.org/10.5194/acp-24-5513-2024, 2024
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The aerosol layer is an essential part of the climate system. We characterize the sulfur budget in a volcanically quiescent (background) setting, with a special focus on the sulfate aerosol layer using, for the first time, a multi-model approach. The aim is to identify weak points in the representation of the atmospheric sulfur budget in an intercomparison of nine state-of-the-art coupled global circulation models.
Matthew S. Johnson, Alexei Rozanov, Mark Weber, Nora Mettig, John Sullivan, Michael J. Newchurch, Shi Kuang, Thierry Leblanc, Fernando Chouza, Timothy A. Berkoff, Guillaume Gronoff, Kevin B. Strawbridge, Raul J. Alvarez, Andrew O. Langford, Christoph J. Senff, Guillaume Kirgis, Brandi McCarty, and Larry Twigg
Atmos. Meas. Tech., 17, 2559–2582, https://doi.org/10.5194/amt-17-2559-2024, https://doi.org/10.5194/amt-17-2559-2024, 2024
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Monitoring tropospheric ozone (O3), a harmful pollutant negatively impacting human health, is primarily done using ground-based measurements and ozonesondes. However, these observation types lack the coverage to fully understand tropospheric O3. Satellites can retrieve tropospheric ozone with near-daily global coverage; however, they are known to have biases and errors. This study uses ground-based lidars to validate multiple satellites' ability to observe tropospheric O3.
Andrea Orfanoz-Cheuquelaf, Carlo Arosio, Alexei Rozanov, Mark Weber, Annette Ladstätter-Weißenmayer, John P. Burrows, Anne M. Thompson, Ryan M. Stauffer, and Debra E. Kollonige
Atmos. Meas. Tech., 17, 1791–1809, https://doi.org/10.5194/amt-17-1791-2024, https://doi.org/10.5194/amt-17-1791-2024, 2024
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Valuable information on the tropospheric ozone column (TrOC) can be obtained globally by combining space-borne limb and nadir measurements (limb–nadir matching, LNM). This study describes the retrieval of TrOC from the OMPS instrument (since 2012) using the LNM technique. The OMPS-LNM TrOC was compared with ozonesondes and other satellite measurements, showing a good agreement with a negative bias within 1 to 4 DU. This new dataset is suitable for pollution studies.
Tabea Rahm, Robin Pilch Kedzierski, Martje Hänsch, and Katja Matthes
EGUsphere, https://doi.org/10.5194/egusphere-2024-667, https://doi.org/10.5194/egusphere-2024-667, 2024
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Sudden Stratospheric Warmings (SSWs) are extreme wintertime events that can impact surface weather. However, a distinct surface response is not observed for every SSW. Here, we classify SSWs that do and do not impact the troposphere in ERA5 reanalysis data. In addition, we evaluate the effects of two kinds of waves: planetary and synoptic-scale. Our findings emphasize that the lower stratosphere and synoptic-scale waves play crucial roles in coupling the SSW signal to the surface.
Bernd Funke, Thierry Dudok de Wit, Ilaria Ermolli, Margit Haberreiter, Doug Kinnison, Daniel Marsh, Hilde Nesse, Annika Seppälä, Miriam Sinnhuber, and Ilya Usoskin
Geosci. Model Dev., 17, 1217–1227, https://doi.org/10.5194/gmd-17-1217-2024, https://doi.org/10.5194/gmd-17-1217-2024, 2024
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We outline a road map for the preparation of a solar forcing dataset for the upcoming Phase 7 of the Coupled Model Intercomparison Project (CMIP7), considering the latest scientific advances made in the reconstruction of solar forcing and in the understanding of climate response while also addressing the issues that were raised during CMIP6.
Franziska Zilker, Timofei Sukhodolov, Gabriel Chiodo, Marina Friedel, Tatiana Egorova, Eugene Rozanov, Jan Sedlacek, Svenja Seeber, and Thomas Peter
Atmos. Chem. Phys., 23, 13387–13411, https://doi.org/10.5194/acp-23-13387-2023, https://doi.org/10.5194/acp-23-13387-2023, 2023
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The Montreal Protocol (MP) has successfully reduced the Antarctic ozone hole by banning chlorofluorocarbons (CFCs) that destroy the ozone layer. Moreover, CFCs are strong greenhouse gases (GHGs) that would have strengthened global warming. In this study, we investigate the surface weather and climate in a world without the MP at the end of the 21st century, disentangling ozone-mediated and GHG impacts of CFCs. Overall, we avoided 1.7 K global surface warming and a poleward shift in storm tracks.
Marina Friedel, Gabriel Chiodo, Timofei Sukhodolov, James Keeble, Thomas Peter, Svenja Seeber, Andrea Stenke, Hideharu Akiyoshi, Eugene Rozanov, David Plummer, Patrick Jöckel, Guang Zeng, Olaf Morgenstern, and Béatrice Josse
Atmos. Chem. Phys., 23, 10235–10254, https://doi.org/10.5194/acp-23-10235-2023, https://doi.org/10.5194/acp-23-10235-2023, 2023
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Previously, it has been suggested that springtime Arctic ozone depletion might worsen in the coming decades due to climate change, which might counteract the effect of reduced ozone-depleting substances. Here, we show with different chemistry–climate models that springtime Arctic ozone depletion will likely decrease in the future. Further, we explain why models show a large spread in the projected development of Arctic ozone depletion and use the model spread to constrain future projections.
Tobias C. Spiegl, Ulrike Langematz, Holger Pohlmann, and Jürgen Kröger
Weather Clim. Dynam., 4, 789–807, https://doi.org/10.5194/wcd-4-789-2023, https://doi.org/10.5194/wcd-4-789-2023, 2023
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We investigate the role of the solar cycle in atmospheric domains with the Max Plank Institute Earth System Model in high resolution (MPI-ESM-HR). We focus on the tropical upper stratosphere, Northern Hemisphere (NH) winter dynamics and potential surface imprints. We found robust solar signals at the tropical stratopause and a weak dynamical response in the NH during winter. However, we cannot confirm the importance of the 11-year solar cycle for decadal variability in the troposphere.
Jake J. Gristey, K. Sebastian Schmidt, Hong Chen, Daniel R. Feldman, Bruce C. Kindel, Joshua Mauss, Mathew van den Heever, Maria Z. Hakuba, and Peter Pilewskie
Atmos. Meas. Tech., 16, 3609–3630, https://doi.org/10.5194/amt-16-3609-2023, https://doi.org/10.5194/amt-16-3609-2023, 2023
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The concept of a satellite-based camera is demonstrated for sampling the angular distribution of outgoing radiance from Earth needed to generate data products for new radiation budget spectral channels.
Tatiana Egorova, Jan Sedlacek, Timofei Sukhodolov, Arseniy Karagodin-Doyennel, Franziska Zilker, and Eugene Rozanov
Atmos. Chem. Phys., 23, 5135–5147, https://doi.org/10.5194/acp-23-5135-2023, https://doi.org/10.5194/acp-23-5135-2023, 2023
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This paper describes the climate and atmosphere benefits of the Montreal Protocol, simulated with the state-of-the-art Earth system model SOCOLv4.0. We have added to and confirmed the previous studies by showing that without the Montreal Protocol by the end of the 21st century there would be a dramatic reduction in the ozone layer as well as substantial perturbation of the essential climate variables in the troposphere caused by the warming from increasing ozone-depleting substances.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Jan Sedlacek, and Thomas Peter
Atmos. Chem. Phys., 23, 4801–4817, https://doi.org/10.5194/acp-23-4801-2023, https://doi.org/10.5194/acp-23-4801-2023, 2023
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The future ozone evolution in SOCOLv4 simulations under SSP2-4.5 and SSP5-8.5 scenarios has been assessed for the period 2015–2099 and subperiods using the DLM approach. The SOCOLv4 projects a decline in tropospheric ozone in the 2030s in SSP2-4.5 and in the 2060s in SSP5-8.5. The stratospheric ozone increase is ~3 times higher in SSP5-8.5, confirming the important role of GHGs in ozone evolution. We also showed that tropospheric ozone strongly impacts the total column in the tropics.
Viktoria F. Sofieva, Monika Szelag, Johanna Tamminen, Carlo Arosio, Alexei Rozanov, Mark Weber, Doug Degenstein, Adam Bourassa, Daniel Zawada, Michael Kiefer, Alexandra Laeng, Kaley A. Walker, Patrick Sheese, Daan Hubert, Michel van Roozendael, Christian Retscher, Robert Damadeo, and Jerry D. Lumpe
Atmos. Meas. Tech., 16, 1881–1899, https://doi.org/10.5194/amt-16-1881-2023, https://doi.org/10.5194/amt-16-1881-2023, 2023
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The paper presents the updated SAGE-CCI-OMPS+ climate data record of monthly zonal mean ozone profiles. This dataset covers the stratosphere and combines measurements by nine limb and occultation satellite instruments (SAGE II, OSIRIS, MIPAS, SCIAMACHY, GOMOS, ACE-FTS, OMPS-LP, POAM III, and SAGE III/ISS). The update includes new versions of MIPAS, ACE-FTS, and OSIRIS datasets and introduces data from additional sensors (POAM III and SAGE III/ISS) and retrieval processors (OMPS-LP).
Andrey V. Koval, Olga N. Toptunova, Maxim A. Motsakov, Ksenia A. Didenko, Tatiana S. Ermakova, Nikolai M. Gavrilov, and Eugene V. Rozanov
Atmos. Chem. Phys., 23, 4105–4114, https://doi.org/10.5194/acp-23-4105-2023, https://doi.org/10.5194/acp-23-4105-2023, 2023
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Periodic changes in all hydrodynamic parameters are constantly observed in the atmosphere. The amplitude of these fluctuations increases with height due to a decrease in the atmospheric density. In the upper layers of the atmosphere, waves are the dominant form of motion. We use a model of the general circulation of the atmosphere to study the contribution to the formation of the dynamic and temperature regimes of the middle and upper atmosphere made by different global-scale atmospheric waves.
Ilaria Quaglia, Claudia Timmreck, Ulrike Niemeier, Daniele Visioni, Giovanni Pitari, Christina Brodowsky, Christoph Brühl, Sandip S. Dhomse, Henning Franke, Anton Laakso, Graham W. Mann, Eugene Rozanov, and Timofei Sukhodolov
Atmos. Chem. Phys., 23, 921–948, https://doi.org/10.5194/acp-23-921-2023, https://doi.org/10.5194/acp-23-921-2023, 2023
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The last very large explosive volcanic eruption we have measurements for is the eruption of Mt. Pinatubo in 1991. It is therefore often used as a benchmark for climate models' ability to reproduce these kinds of events. Here, we compare available measurements with the results from multiple experiments conducted with climate models interactively simulating the aerosol cloud formation.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Jan Sedlacek, William Ball, and Thomas Peter
Atmos. Chem. Phys., 22, 15333–15350, https://doi.org/10.5194/acp-22-15333-2022, https://doi.org/10.5194/acp-22-15333-2022, 2022
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Applying the dynamic linear model, we confirm near-global ozone recovery (55°N–55°S) in the mesosphere, upper and middle stratosphere, and a steady increase in the troposphere. We also show that modern chemistry–climate models (CCMs) like SOCOLv4 may reproduce the observed trend distribution of lower stratospheric ozone, despite exhibiting a lower magnitude and statistical significance. The obtained ozone trend pattern in SOCOLv4 is generally consistent with observations and reanalysis datasets.
John T. Sullivan, Arnoud Apituley, Nora Mettig, Karin Kreher, K. Emma Knowland, Marc Allaart, Ankie Piters, Michel Van Roozendael, Pepijn Veefkind, Jerry R. Ziemke, Natalya Kramarova, Mark Weber, Alexei Rozanov, Laurence Twigg, Grant Sumnicht, and Thomas J. McGee
Atmos. Chem. Phys., 22, 11137–11153, https://doi.org/10.5194/acp-22-11137-2022, https://doi.org/10.5194/acp-22-11137-2022, 2022
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A TROPOspheric Monitoring Instrument (TROPOMI) validation campaign (TROLIX-19) was held in the Netherlands in September 2019. The research presented here focuses on using ozone lidars from NASA’s Goddard Space Flight Center to better evaluate the characterization of ozone throughout TROLIX-19 as compared to balloon-borne, space-borne and ground-based passive measurements, as well as a global coupled chemistry meteorology model.
Annika Drews, Wenjuan Huo, Katja Matthes, Kunihiko Kodera, and Tim Kruschke
Atmos. Chem. Phys., 22, 7893–7904, https://doi.org/10.5194/acp-22-7893-2022, https://doi.org/10.5194/acp-22-7893-2022, 2022
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Solar irradiance varies with a period of approximately 11 years. Using a unique large chemistry–climate model dataset, we investigate the solar surface signal in the North Atlantic and European region and find that it changes over time, depending on the strength of the solar cycle. For the first time, we estimate the potential predictability associated with including realistic solar forcing in a model. These results may improve seasonal to decadal predictions of European climate.
Mark Weber, Carlo Arosio, Melanie Coldewey-Egbers, Vitali E. Fioletov, Stacey M. Frith, Jeannette D. Wild, Kleareti Tourpali, John P. Burrows, and Diego Loyola
Atmos. Chem. Phys., 22, 6843–6859, https://doi.org/10.5194/acp-22-6843-2022, https://doi.org/10.5194/acp-22-6843-2022, 2022
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Long-term trends in column ozone have been determined from five merged total ozone datasets spanning the period 1978–2020. We show that ozone recovery due to the decline in stratospheric halogens after the 1990s (as regulated by the Montreal Protocol) is evident outside the tropical region and amounts to half a percent per decade. The ozone recovery in the Northern Hemisphere is however compensated for by the negative long-term trend contribution from atmospheric dynamics since the year 2000.
Irina Mironova, Miriam Sinnhuber, Galina Bazilevskaya, Mark Clilverd, Bernd Funke, Vladimir Makhmutov, Eugene Rozanov, Michelle L. Santee, Timofei Sukhodolov, and Thomas Ulich
Atmos. Chem. Phys., 22, 6703–6716, https://doi.org/10.5194/acp-22-6703-2022, https://doi.org/10.5194/acp-22-6703-2022, 2022
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From balloon measurements, we detected unprecedented, extremely powerful, electron precipitation over the middle latitudes. The robustness of this event is confirmed by satellite observations of electron fluxes and chemical composition, as well as by ground-based observations of the radio signal propagation. The applied chemistry–climate model shows the almost complete destruction of ozone in the mesosphere over the region where high-energy electrons were observed.
Nora Mettig, Mark Weber, Alexei Rozanov, John P. Burrows, Pepijn Veefkind, Anne M. Thompson, Ryan M. Stauffer, Thierry Leblanc, Gerard Ancellet, Michael J. Newchurch, Shi Kuang, Rigel Kivi, Matthew B. Tully, Roeland Van Malderen, Ankie Piters, Bogumil Kois, René Stübi, and Pavla Skrivankova
Atmos. Meas. Tech., 15, 2955–2978, https://doi.org/10.5194/amt-15-2955-2022, https://doi.org/10.5194/amt-15-2955-2022, 2022
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Vertical ozone profiles from combined spectral measurements in the UV and IR spectral ranges were retrieved by using data from TROPOMI/S5P and CrIS/Suomi-NPP. The vertical resolution and accuracy of the ozone profiles are improved by combining both wavelength ranges compared to retrievals limited to UV or IR spectral data only. The advancement of our TOPAS algorithm for combined measurements is required because in the UV-only retrieval the vertical resolution in the troposphere is very limited.
Ioana Ivanciu, Katja Matthes, Arne Biastoch, Sebastian Wahl, and Jan Harlaß
Weather Clim. Dynam., 3, 139–171, https://doi.org/10.5194/wcd-3-139-2022, https://doi.org/10.5194/wcd-3-139-2022, 2022
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Greenhouse gas concentrations continue to increase, while the Antarctic ozone hole is expected to recover during the twenty-first century. We separate the effects of ozone recovery and of greenhouse gases on the Southern Hemisphere atmospheric and oceanic circulation, and we find that ozone recovery is generally reducing the impact of greenhouse gases, with the exception of certain regions of the stratosphere during spring, where the two effects reinforce each other.
Sandip S. Dhomse, Martyn P. Chipperfield, Wuhu Feng, Ryan Hossaini, Graham W. Mann, Michelle L. Santee, and Mark Weber
Atmos. Chem. Phys., 22, 903–916, https://doi.org/10.5194/acp-22-903-2022, https://doi.org/10.5194/acp-22-903-2022, 2022
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Solar flux variations associated with 11-year sunspot cycle is believed to exert important external climate forcing. As largest variations occur at shorter wavelengths such as ultra-violet part of the solar spectrum, associated changes in stratospheric ozone are thought to provide direct evidence for solar climate interaction. Until now, most of the studies reported double-peak structured solar cycle signal (SCS), but relatively new satellite data suggest only single-peak-structured SCS.
Sabrina P. Cochrane, K. Sebastian Schmidt, Hong Chen, Peter Pilewskie, Scott Kittelman, Jens Redemann, Samuel LeBlanc, Kristina Pistone, Michal Segal Rozenhaimer, Meloë Kacenelenbogen, Yohei Shinozuka, Connor Flynn, Rich Ferrare, Sharon Burton, Chris Hostetler, Marc Mallet, and Paquita Zuidema
Atmos. Meas. Tech., 15, 61–77, https://doi.org/10.5194/amt-15-61-2022, https://doi.org/10.5194/amt-15-61-2022, 2022
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This work presents heating rates derived from aircraft observations from the 2016 and 2017 field campaigns of ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS). We separate the total heating rates into aerosol and gas (primarily water vapor) absorption and explore some of the co-variability of heating rate profiles and their primary drivers, leading to the development of a new concept: the heating rate efficiency (HRE; the heating rate per unit aerosol extinction).
Kseniia Golubenko, Eugene Rozanov, Gennady Kovaltsov, Ari-Pekka Leppänen, Timofei Sukhodolov, and Ilya Usoskin
Geosci. Model Dev., 14, 7605–7620, https://doi.org/10.5194/gmd-14-7605-2021, https://doi.org/10.5194/gmd-14-7605-2021, 2021
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A new full 3-D time-dependent model, based on SOCOL-AERv2, of beryllium atmospheric production, transport, and deposition has been developed and validated using directly measured data. The model is recommended to be used in studies related to, e.g., atmospheric dynamical patterns, extreme solar particle storms, long-term solar activity reconstruction from cosmogenic proxy data, and solar–terrestrial relations.
Ioannis A. Daglis, Loren C. Chang, Sergio Dasso, Nat Gopalswamy, Olga V. Khabarova, Emilia Kilpua, Ramon Lopez, Daniel Marsh, Katja Matthes, Dibyendu Nandy, Annika Seppälä, Kazuo Shiokawa, Rémi Thiéblemont, and Qiugang Zong
Ann. Geophys., 39, 1013–1035, https://doi.org/10.5194/angeo-39-1013-2021, https://doi.org/10.5194/angeo-39-1013-2021, 2021
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We present a detailed account of the science programme PRESTO (PREdictability of the variable Solar–Terrestrial cOupling), covering the period 2020 to 2024. PRESTO was defined by a dedicated committee established by SCOSTEP (Scientific Committee on Solar-Terrestrial Physics). We review the current state of the art and discuss future studies required for the most effective development of solar–terrestrial physics.
Sandip S. Dhomse, Carlo Arosio, Wuhu Feng, Alexei Rozanov, Mark Weber, and Martyn P. Chipperfield
Earth Syst. Sci. Data, 13, 5711–5729, https://doi.org/10.5194/essd-13-5711-2021, https://doi.org/10.5194/essd-13-5711-2021, 2021
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High-quality long-term ozone profile data sets are key to estimating short- and long-term ozone variability. Almost all the satellite (and chemical model) data sets show some kind of bias with respect to each other. This is because of differences in measurement methodologies as well as simplified processes in the models. We use satellite data sets and chemical model output to generate 42 years of ozone profile data sets using a random-forest machine-learning algorithm that is named ML-TOMCAT.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Alfonso Saiz-Lopez, Carlos A. Cuevas, Rafael P. Fernandez, Tomás Sherwen, Rainer Volkamer, Theodore K. Koenig, Tanguy Giroud, and Thomas Peter
Geosci. Model Dev., 14, 6623–6645, https://doi.org/10.5194/gmd-14-6623-2021, https://doi.org/10.5194/gmd-14-6623-2021, 2021
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Here, we present the iodine chemistry module in the SOCOL-AERv2 model. The obtained iodine distribution demonstrated a good agreement when validated against other simulations and available observations. We also estimated the iodine influence on ozone in the case of present-day iodine emissions, the sensitivity of ozone to doubled iodine emissions, and when considering only organic or inorganic iodine sources. The new model can be used as a tool for further studies of iodine effects on ozone.
Nora Mettig, Mark Weber, Alexei Rozanov, Carlo Arosio, John P. Burrows, Pepijn Veefkind, Anne M. Thompson, Richard Querel, Thierry Leblanc, Sophie Godin-Beekmann, Rigel Kivi, and Matthew B. Tully
Atmos. Meas. Tech., 14, 6057–6082, https://doi.org/10.5194/amt-14-6057-2021, https://doi.org/10.5194/amt-14-6057-2021, 2021
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TROPOMI is a nadir-viewing satellite that has observed global atmospheric trace gases at unprecedented spatial resolution since 2017. The retrieval of ozone profiles with high accuracy has been demonstrated using the TOPAS (Tikhonov regularised Ozone Profile retrievAl with SCIATRAN) algorithm and applying appropriate spectral corrections to TROPOMI UV data. Ozone profiles from TROPOMI were compared to ozonesonde and lidar profiles, showing an agreement to within 5 % in the stratosphere.
Timofei Sukhodolov, Tatiana Egorova, Andrea Stenke, William T. Ball, Christina Brodowsky, Gabriel Chiodo, Aryeh Feinberg, Marina Friedel, Arseniy Karagodin-Doyennel, Thomas Peter, Jan Sedlacek, Sandro Vattioni, and Eugene Rozanov
Geosci. Model Dev., 14, 5525–5560, https://doi.org/10.5194/gmd-14-5525-2021, https://doi.org/10.5194/gmd-14-5525-2021, 2021
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This paper features the new atmosphere–ocean–aerosol–chemistry–climate model SOCOLv4.0 and its validation. The model performance is evaluated against reanalysis products and observations of atmospheric circulation and trace gas distribution, with a focus on stratospheric processes. Although we identified some problems to be addressed in further model upgrades, we demonstrated that SOCOLv4.0 is already well suited for studies related to chemistry–climate–aerosol interactions.
Andrea Orfanoz-Cheuquelaf, Alexei Rozanov, Mark Weber, Carlo Arosio, Annette Ladstätter-Weißenmayer, and John P. Burrows
Atmos. Meas. Tech., 14, 5771–5789, https://doi.org/10.5194/amt-14-5771-2021, https://doi.org/10.5194/amt-14-5771-2021, 2021
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OMPS/NPP (2012–present) allows obtaining the tropospheric ozone column by combining ozone data from limb and nadir observations from the same instrument platform. In a first step, the retrieval of the total ozone column from the OMPS Nadir Mapper using the weighting function fitting approach (WFFA) is described here. The OMPS total ozone was compared with ground-based and other satellite measurements, showing agreement within 2.5 %.
Lily N. Zhang, Susan Solomon, Kane A. Stone, Jonathan D. Shanklin, Joshua D. Eveson, Steve Colwell, John P. Burrows, Mark Weber, Pieternel F. Levelt, Natalya A. Kramarova, and David P. Haffner
Atmos. Chem. Phys., 21, 9829–9838, https://doi.org/10.5194/acp-21-9829-2021, https://doi.org/10.5194/acp-21-9829-2021, 2021
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In the 1980s, measurements at the British Antarctic Survey station in Halley, Antarctica, led to the discovery of the ozone hole. The Halley total ozone record continues to be uniquely valuable for studies of long-term changes in Antarctic ozone. Environmental conditions in 2017 forced a temporary cessation of operations, leading to a gap in the historic record. We develop and test a method for filling in the Halley record using satellite data and find evidence to further support ozone recovery.
Viktoria F. Sofieva, Monika Szeląg, Johanna Tamminen, Erkki Kyrölä, Doug Degenstein, Chris Roth, Daniel Zawada, Alexei Rozanov, Carlo Arosio, John P. Burrows, Mark Weber, Alexandra Laeng, Gabriele P. Stiller, Thomas von Clarmann, Lucien Froidevaux, Nathaniel Livesey, Michel van Roozendael, and Christian Retscher
Atmos. Chem. Phys., 21, 6707–6720, https://doi.org/10.5194/acp-21-6707-2021, https://doi.org/10.5194/acp-21-6707-2021, 2021
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The MErged GRIdded Dataset of Ozone Profiles is a long-term (2001–2018) stratospheric ozone profile climate data record with resolved longitudinal structure that combines the data from six limb satellite instruments. The dataset can be used for various analyses, some of which are discussed in the paper. In particular, regionally and vertically resolved ozone trends are evaluated, including trends in the polar regions.
Ioana Ivanciu, Katja Matthes, Sebastian Wahl, Jan Harlaß, and Arne Biastoch
Atmos. Chem. Phys., 21, 5777–5806, https://doi.org/10.5194/acp-21-5777-2021, https://doi.org/10.5194/acp-21-5777-2021, 2021
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The Antarctic ozone hole has driven substantial dynamical changes in the Southern Hemisphere atmosphere over the past decades. This study separates the historical impacts of ozone depletion from those of rising levels of greenhouse gases and investigates how these impacts are captured in two types of climate models: one using interactive atmospheric chemistry and one prescribing the CMIP6 ozone field. The effects of ozone depletion are more pronounced in the model with interactive chemistry.
Hong Chen, Sebastian Schmidt, Michael D. King, Galina Wind, Anthony Bucholtz, Elizabeth A. Reid, Michal Segal-Rozenhaimer, William L. Smith, Patrick C. Taylor, Seiji Kato, and Peter Pilewskie
Atmos. Meas. Tech., 14, 2673–2697, https://doi.org/10.5194/amt-14-2673-2021, https://doi.org/10.5194/amt-14-2673-2021, 2021
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In this paper, we accessed the shortwave irradiance derived from MODIS cloud optical properties by using aircraft measurements. We developed a data aggregation technique to parameterize spectral surface albedo by snow fraction in the Arctic. We found that undetected clouds have the most significant impact on the imagery-derived irradiance. This study suggests that passive imagery cloud detection could be improved through a multi-pixel approach that would make it more dependable in the Arctic.
Margot Clyne, Jean-Francois Lamarque, Michael J. Mills, Myriam Khodri, William Ball, Slimane Bekki, Sandip S. Dhomse, Nicolas Lebas, Graham Mann, Lauren Marshall, Ulrike Niemeier, Virginie Poulain, Alan Robock, Eugene Rozanov, Anja Schmidt, Andrea Stenke, Timofei Sukhodolov, Claudia Timmreck, Matthew Toohey, Fiona Tummon, Davide Zanchettin, Yunqian Zhu, and Owen B. Toon
Atmos. Chem. Phys., 21, 3317–3343, https://doi.org/10.5194/acp-21-3317-2021, https://doi.org/10.5194/acp-21-3317-2021, 2021
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This study finds how and why five state-of-the-art global climate models with interactive stratospheric aerosols differ when simulating the aftermath of large volcanic injections as part of the Model Intercomparison Project on the climatic response to Volcanic forcing (VolMIP). We identify and explain the consequences of significant disparities in the underlying physics and chemistry currently in some of the models, which are problems likely not unique to the models participating in this study.
Jens Redemann, Robert Wood, Paquita Zuidema, Sarah J. Doherty, Bernadette Luna, Samuel E. LeBlanc, Michael S. Diamond, Yohei Shinozuka, Ian Y. Chang, Rei Ueyama, Leonhard Pfister, Ju-Mee Ryoo, Amie N. Dobracki, Arlindo M. da Silva, Karla M. Longo, Meloë S. Kacenelenbogen, Connor J. Flynn, Kristina Pistone, Nichola M. Knox, Stuart J. Piketh, James M. Haywood, Paola Formenti, Marc Mallet, Philip Stier, Andrew S. Ackerman, Susanne E. Bauer, Ann M. Fridlind, Gregory R. Carmichael, Pablo E. Saide, Gonzalo A. Ferrada, Steven G. Howell, Steffen Freitag, Brian Cairns, Brent N. Holben, Kirk D. Knobelspiesse, Simone Tanelli, Tristan S. L'Ecuyer, Andrew M. Dzambo, Ousmane O. Sy, Greg M. McFarquhar, Michael R. Poellot, Siddhant Gupta, Joseph R. O'Brien, Athanasios Nenes, Mary Kacarab, Jenny P. S. Wong, Jennifer D. Small-Griswold, Kenneth L. Thornhill, David Noone, James R. Podolske, K. Sebastian Schmidt, Peter Pilewskie, Hong Chen, Sabrina P. Cochrane, Arthur J. Sedlacek, Timothy J. Lang, Eric Stith, Michal Segal-Rozenhaimer, Richard A. Ferrare, Sharon P. Burton, Chris A. Hostetler, David J. Diner, Felix C. Seidel, Steven E. Platnick, Jeffrey S. Myers, Kerry G. Meyer, Douglas A. Spangenberg, Hal Maring, and Lan Gao
Atmos. Chem. Phys., 21, 1507–1563, https://doi.org/10.5194/acp-21-1507-2021, https://doi.org/10.5194/acp-21-1507-2021, 2021
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Southern Africa produces significant biomass burning emissions whose impacts on regional and global climate are poorly understood. ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) is a 5-year NASA investigation designed to study the key processes that determine these climate impacts. The main purpose of this paper is to familiarize the broader scientific community with the ORACLES project, the dataset it produced, and the most important initial findings.
Sabrina P. Cochrane, K. Sebastian Schmidt, Hong Chen, Peter Pilewskie, Scott Kittelman, Jens Redemann, Samuel LeBlanc, Kristina Pistone, Meloë Kacenelenbogen, Michal Segal Rozenhaimer, Yohei Shinozuka, Connor Flynn, Amie Dobracki, Paquita Zuidema, Steven Howell, Steffen Freitag, and Sarah Doherty
Atmos. Meas. Tech., 14, 567–593, https://doi.org/10.5194/amt-14-567-2021, https://doi.org/10.5194/amt-14-567-2021, 2021
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Based on observations from the 2016 and 2017 field campaigns of ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS), this work establishes an observationally driven link from mid-visible aerosol optical depth (AOD) and other scene parameters to broadband shortwave irradiance (and by extension the direct aerosol radiative effect, DARE). The majority of the case-to-case DARE variability within the ORACLES dataset is attributable to the dependence on AOD and scene albedo.
Arseniy Karagodin-Doyennel, Eugene Rozanov, Ales Kuchar, William Ball, Pavle Arsenovic, Ellis Remsberg, Patrick Jöckel, Markus Kunze, David A. Plummer, Andrea Stenke, Daniel Marsh, Doug Kinnison, and Thomas Peter
Atmos. Chem. Phys., 21, 201–216, https://doi.org/10.5194/acp-21-201-2021, https://doi.org/10.5194/acp-21-201-2021, 2021
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The solar signal in the mesospheric H2O and CO was extracted from the CCMI-1 model simulations and satellite observations using multiple linear regression (MLR) analysis. MLR analysis shows a pronounced and statistically robust solar signal in both H2O and CO. The model results show a general agreement with observations reproducing a negative/positive solar signal in H2O/CO. The pattern of the solar signal varies among the considered models, reflecting some differences in the model setup.
Cited articles
Abbot, C. G., Fowle, F. E., and Aldrich, L. B.: Chapter VI., Annals of the Astrophysical Observatory of the Smithsonian Institution, 4, 177–215, 1923.
Afram, N., Unruh, Y. C., Solanki, S. K., Sch{ü}ssler, M., Lagg, A., and V{ö}gler, A.: Intensity contrast from MHD simulations and HINODE observations, Astron. Astrophys., 526, A120, https://doi.org/10.1051/0004-6361/201015582, 2011.
Amblard, P.-O., Moussaoui, S., Dudok de Wit, T., Aboudarham, J., Kretzschmar, M., Lilensten, J., and Auch{è}re, F.: The EUV Sun as the superposition of elementary Suns, Astron. Astrophys., 487, L13–L16, https://doi.org/10.1051/0004-6361:200809588, 2008.
Austin, J., Tourpali, K., Rozanov, E., Akiyoshi, H., Bekki, S., Bodeker, G., Br{ü}hl, C., Butchart, N., Chipperfield, M., Deushi, M., Fomichev, V. I., Giorgetta, M. A., Gray, L., Kodera, K., Lott, F., Manzini, E., Marsh, D., Matthes, K., Nagashima, T., Shibata, K., Stolarski, R. S., Struthers, H., and Tian, W.: Coupled chemistry climate model simulations of the solar cycle in ozone and temperature, J. Geophys. Res.-Atmos., 113, D11306, https://doi.org/10.1029/2007JD009391, 2008.
Avrett, E. H. and Loeser, R.: Models of the Solar Chromosphere and Transition Region from SUMER and HRTS Observations: Formation of the Extreme-Ultraviolet Spectrum of Hydrogen, Carbon, and Oxygen, Astrophys. J. Suppl. Ser., 175, 229–276, https://doi.org/10.1086/523671, 2008.
Baldwin, M., Dameris, M., Austin, J., Bekki, S., Bregman, B., Butchart, N., Cordero, E., Gillett, N., Graf, H., Granier, C., Kinnison, D., Lal, S., Peter, T., Randel, W., Scinocca, J., Shindell, D., Struthers, H., Takahashi, M., and Thompson, D.: Climate-ozone connections, in: Scientific Assesment of Ozone Depletion: 2006, Global Ozone Research and Monitoring Project Report No. 50, World Meteorological Organization, 2007.
Ball, W. T., Unruh, Y. C., Krivova, N. A., Solanki, S., and Harder, J. W.: Solar irradiance variability: a six-year comparison between SORCE observations and the SATIRE model, Astron. Astrophys., 530, A71, https://doi.org/10.1051/0004-6361/201016189, 2011.
Ball, W. T., Unruh, Y. C., Krivova, N. A., Solanki, S., Wenzler, T., Mortlock, D. J., and Jaffe, A. H.: Reconstruction of total solar irradiance 1974–2009, Astron. Astrophys., 541, A27, https://doi.org/10.1051/0004-6361/201118702, 2012.
Balmaceda, L. A., Solanki, S. K., Krivova, N. A., and Foster, S.: A homogeneous database of sunspot areas covering more than 130 years, J. Geophys. Res. (Space Physics), 114, A07104, https://doi.org/10.1029/2009JA014299, 2009.
Bard, E. and Frank, M.: Climate change and solar variability: What's new under the Sun?, Earth and Planetary Science Letters, 248, 1–14, https://doi.org/10.1016/j.epsl.2006.06.016, 2006.
Beer, J., Vonmoos, M., and Muscheler, R.: Solar Variability Over the Past Several Millennia, Space Sci. Rev., 125, 67–79, https://doi.org/10.1007/s11214-006-9047-4, 2006.
Bolduc, C., Charbonneau, P., Dumoulin, V., Bourqui, M. S., and Crouch, A. D.: A Fast Model for the Reconstruction of Spectral Solar Irradiance in the Near- and Mid-Ultraviolet, Solar Phys., 279, 383–409, https://doi.org/10.1007/s11207-012-0019-4, 2012.
Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., No{ë}l, S., Rozanov, V. V., Chance, K. V., and Goede, A. P. H.: SCIAMACHY: Mission Objectives and Measurement Modes, J. Atmos. Sci., 56, 127–150, https://doi.org/10.1175/1520-0469(1999)056<0127:SMOAMM>2.0.CO;2, 1999.
Bovensmann, H., Aben, I., van Roozendael, M., Kühl, S., Gottwald, M., von Savigny, C., Buchwitz, M., Richter, A., Frankenberg, C., Stammes, P., de Graaf, M., Wittrock, F., Sinnhuber, B. M., Schönhardt, A., Beirle, S., Gloudemans, A., Schrijver, H., Bracher, A., Rozanov, A. V., Weber, M., and Burrows, J. P.: SCIAMACHY's view of the changing earth's environment, Chap. 10 in: SCIAMACHY – Exploring the Changing Earth's Atmopshere, Springer, Dordrecht, 2011.
Brasseur, G. P. and Solomon, S.: Aeronomy of the Middle Atmosphere: Chemistry and Physics of the Stratosphere and Mesosphere, in: Aeronomy of the Middle Atmosphere: Chemistry and Physics of the Stratosphere and Mesosphere, by G.P. Brasseur and S. Solomon. 2005 XII, 644 pp. 3rd rev. and enlarged ed. 1-4020-3284-6, Berlin: Springer, 2005.
Brueckner, G. E., Edlow, K. L., Floyd, IV, L. E., Lean, J. L., and Vanhoosier, M. E.: The solar ultraviolet spectral irradiance monitor (SUSIM) experiment on board the Upper Atmosphere Research Satellite (UARS), J. Geophys. Res., 98, 10695, https://doi.org/10.1029/93JD00410, 1993.
Burrows, J. P., Weber, M., Buchwitz, M., Rozanov, V., Ladst{ä}tter-Wei{ß}enmayer, A., Richter, A., Debeek, R., Hoogen, R., Bramstedt, K., Eichmann, K.-U., Eisinger, M., and Perner, D.: The Global Ozone Monitoring Experiment (GOME): Mission Concept and First Scientific Results., J. Atmos. Sci., 56, 151–175, https://doi.org/10.1175/1520-0469(1999)056<0151:TGOMEG>2.0.CO;2, 1999.
Butler, J. J., Johnson, B. C., Price, K. P., Shirley, E. L., and Barnes, R. A.: Sources of Differences in On-Orbital Total Solar Irradiance Measurements and Description of a Proposed Laboratory Intercomparison, Journal of Research of the National Institute of Standards and Technology, 113, 187–203, https://doi.org/10.6028/jres.113.014, 2008.
Cahalan, R. F., Wen, G., Harder, J. W., and Pilewskie, P.: Temperature responses to spectral solar variability on decadal time scales, Geophys. Res. Lett., 37, L07705, https://doi.org/10.1029/2009GL041898, 2010.
Cahalan, R., Pilewskie, P., and Woods, T.: Free flyer Total and Spectral Solar Irradiance Sensor (TSIS) and climate services missions, in: EGU General Assembly Conference Abstracts, edited by: Abbasi, A. and Giesen, N., vol. 14 of EGU General Assembly Conference Abstracts, p. 1886, 2012.
Calisesi, Y., Bonnet, R.-M., Gray, L., Langen, J., and Lockwood, M.: Solar Variability and Planetary Climates, vol. 23 of \em Space Sciences Series of ISSI\/, Springer Verlag, Berlin, https://doi.org/10.1007/978-0-387-48341-2, 2007.
Carlsson, M. and Stein, R. F.: Formation of Solar Calcium H and K Bright Grains, Astrophys. J., 481, 500, https://doi.org/10.1086/304043, 1997.
Cebula, R. P., DeLand, M. T., and Hilsenrath, E.: NOAA 11 solar backscattered ultraviolet, model 2 (SBUV/2) instrument solar spectral irradiance measurements in 1989-1994 1. Observations and long-term calibration, J. Geophys. Res., 103, 16235–16250, https://doi.org/10.1029/98JD01205, 1998.
Chapman, G. A., Cookson, A. M., and Dobias, J. J.: Variations in total solar irradiance during solar cycle 22, J. Geophys. Res., 101, 13541–13548, https://doi.org/10.1029/96JA00683, 1996.
Chapman, G. A., Cookson, A. M., and Preminger, D. G.: Comparison of TSI from SORCE TIM with SFO Ground-Based Photometry, Solar Phys., 276, 35–41, https://doi.org/10.1007/s11207-011-9867-6, 2012.
Coulter, R. L. and Kuhn, J. R.: RISE/PSPT as an Experiment to Study Active Region Irradiance and Luminosity Evolution, in: Solar Active Region Evolution: Comparing Models with Observations, edited by Balasubramaniam, K. S. and Simon, G. W., vol. 68 of Astronomical Society of the Pacific Conference Series, p. 37, 1994.
Crouch, A. D., Charbonneau, P., Beaubien, G., and Paquin-Ricard, D.: A Model for the Total Solar Irradiance Based on Active Region Decay, Astrophys. J., 677, 723–741, https://doi.org/10.1086/527433, 2008.
DeLand, M. T. and Cebula, R. P.: Composite MG II solar activity index for solar cycles 21 and 22, J. Geophys. Res., 98, 12809, https://doi.org/10.1029/93JD00421, 1993.
DeLand, M. T. and Cebula, R. P.: Creation of a composite solar ultraviolet irradiance data set, J. Geophys. Res. (Space Physics), 113, 11103, https://doi.org/10.1029/2008JA013401, 2008.
DeLand, M. T. and Cebula, R. P.: Solar UV variations during the decline of Cycle 23, J. Atmos. Sol.-Terr. Phys., 77, 225–234, https://doi.org/10.1016/j.jastp.2012.01.007, 2012.
DeLand, M. T., Floyd, L. E., Rottman, G. J., and Pap, J. M.: Status of UARS solar UV irradiance data, Adv. Space Res., 34, 243–250, https://doi.org/10.1016/j.asr.2003.03.043, 2004.
Domingo, V., Ermolli, I., Fox, P., Fr{ö}hlich, C., Haberreiter, M., Krivova, N., Kopp, G., Schmutz, W., Solanki, S. K., Spruit, H. C., Unruh, Y., and V{ö}gler, A.: Solar Surface Magnetism and Irradiance on Time Scales from Days to the 11-Year Cycle, Space Sci. Rev., 145, 337–380, https://doi.org/10.1007/s11214-009-9562-1, 2009.
Donnelly, R. F., Heath, D. F., and Lean, J. L.: Active-region evolution and solar rotation variations in solar UV irradiance, total solar irradiance, and soft X rays, J. Geophys. Res., 87, 10318–10324, 1982.
Dudok de Wit, T.: A method for filling gaps in solar irradiance and solar proxy data, Astron. Astrophys., 533, A29, https://doi.org/10.1051/0004-6361/201117024, 2011.
Dudok de Wit, T., Kretzschmar, M., Lilensten, J., and Woods, T.: Finding the best proxies for the solar UV irradiance, Geophys. Res. Lett., 36, L10107, https://doi.org/10.1029/2009GL037825, 2009.
Eddy, J. A., Gilliland, R. L., and Hoyt, D. V.: Changes in the solar constant and climatic effects, Nature, 300, 689–693, https://doi.org/10.1038/300689a0, 1982.
Egorova, T., Rozanov, E., Manzini, E., Haberreiter, M., Schmutz, W., Zubov, V., and Peter, T.: Chemical and dynamical response to the 11-year variability of the solar irradiance simulated with a chemistry-climate model, Geophys. Res. Lett., 31, L06119, https://doi.org/10.1029/2003GL019294, 2004.
Ermolli, I., Fofi, M., Bernacchia, C., Berrilli, F., Caccin, B., Egidi, A., and Florio, A.: The prototype RISE-PSPT instrument operating in Rome, Solar Phys., 177, 1–10, 1998.
Ermolli, I., Berrilli, F., and Florio, A.: A measure of the network radiative properties over the solar activity cycle, Astron. Astrophys., 412, 857–864, https://doi.org/10.1051/0004-6361:20031479, 2003.
Ermolli, I., Criscuoli, S., Centrone, M., Giorgi, F., and Penza, V.: Photometric properties of facular features over the activity cycle, Astron. Astrophys., 465, 305–314, https://doi.org/10.1051/0004-6361:20065995, 2007.
Ermolli, I., Solanki, S. K., Tlatov, A. G., Krivova, N. A., Ulrich, R. K., and Singh, J.: Comparison Among Ca II K Spectroheliogram Time Series with an Application to Solar Activity Studies, Astrophys. J., 698, 1000–1009, https://doi.org/10.1088/0004-637X/698/2/1000, 2009.
Ermolli, I., Criscuoli, S., Uitenbroek, H., Giorgi, F., Rast, M. P., and Solanki, S. K.: Radiative emission of solar features in the Ca II K line: comparison of measurements and models, Astron. Astrophys., 523, A55, https://doi.org/10.1051/0004-6361/201014762, 2010.
Ermolli, I., Criscuoli, S., and Giorgi, F.: Recent results from optical synoptic observations of the solar atmosphere with ground-based instruments, Contributions of the Astronomical Observatory Skalnate Pleso, 41, 73–84, 2011.
Fehlmann, A., Kopp, G., Schmutz, W., Winkler, R., Finsterle, W., and Fox, N.: Fourth World Radiometric Reference to SI radiometric scale comparison and implications for on-orbit measurements of the total solar irradiance, Metrologia, 49, 34, https://doi.org/10.1088/0026-1394/49/2/S34, 2012.
Fligge, M. and Solanki, S. K.: The solar spectral irradiance since 1700, Geophys. Res. Lett., 27, 2157–2160, https://doi.org/10.1029/2000GL000067, 2000.
Fligge, M., Solanki, S. K., Unruh, Y. C., Fröhlich, C., and Wehrli, C.: A model of solar total and spectral irradiance variations, Astron. Astrophys., 335, 709–718, 1998.
Fligge, M., Solanki, S. K., and Unruh, Y. C.: Modelling irradiance variations from the surface distribution of the solar magnetic field, Astron. Astrophys., 353, 380–388, 2000.
Floyd, L., Rottman, G., DeLand, M., and Pap, J.: 11 years of solar UV irradiance measurements from UARS, in: Solar Variability as an Input to the Earth's Environment, edited by Wilson, A., vol. 535 of ESA Special Publication, 195–203, 2003.
Floyd, L. E., Prinz, D. K., Crane, P. C., and Herring, L. C.: Solar UV irradiance variation during cycles 22 and 23, Adv. Space Res., 29, 1957–1962, https://doi.org/10.1016/S0273-1177(02)00242-9, 2002.
Fontenla, J. and Harder, G.: Physical modeling of spectral irradiance variations, Mem. Soc. Astron. It., 76, 826–833, 2005.
Fontenla, J., White, O. R., Fox, P. A., Avrett, E. H., and Kurucz, R. L.: Calculation of Solar Irradiances. I. Synthesis of the Solar Spectrum, Astrophys. J., 518, 480–499, https://doi.org/10.1086/307258, 1999.
Fontenla, J. M., Harder, J., Rottman, G., Woods, T. N., Lawrence, G. M., and Davis, S.: The Signature of Solar Activity in the Infrared Spectral Irradiance, Astrophys. J., 605, L85–L88, https://doi.org/10.1086/386335, 2004.
Fontenla, J. M., Avrett, E., Thuillier, G., and Harder, J.: Semiempirical Models of the Solar Atmosphere. I. The quiet- and active sun photosphere at moderate resolution, Astrophys. J., 639, 441–458, https://doi.org/10.1086/499345, 2006.
Fontenla, J. M., Curdt, W., Haberreiter, M., Harder, J., and Tian, H.: Semiempirical Models of the Solar Atmosphere. III. Set of Non-LTE Models for Far-Ultraviolet/Extreme-Ultraviolet Irradiance Computation, Astrophys. J., 707, 482–502, https://doi.org/10.1088/0004-637X/707/1/482, 2009.
Fontenla, J. M., Harder, J., Livingston, W., Snow, M., and Woods, T.: High-resolution solar spectral irradiance from extreme ultraviolet to far infrared, J. Geophys. Res., 116, D20108, https://doi.org/10.1029/2011JD016032, 2011.
Forster, P. M., Fomichev, V. I., Rozanov, E., Cagnazzo, C., Jonsson, A. I., Langematz, U., Fomin, B., Iacono, M. J., Mayer, B., Mlawer, E., Myhre, G., Portmann, R. W., Akiyoshi, H., Falaleeva, V., Gillett, N., Karpechko, A., Li, J., Lemennais, P., Morgenstern, O., Oberl{ä}nder, S., Sigmond, M., and Shibata, K.: Evaluation of radiation scheme performance within chemistry climate models, J. Geophys. Res.-Atmos., 116, D10302, https://doi.org/10.1029/2010JD015361, 2011.
Foukal, P. and Lean, J.: The influence of faculae on total solar irradiance and luminosity, Astrophys. J., 302, 826–835, https://doi.org/10.1086/164043, 1986.
Foukal, P. and Lean, J.: An empirical model of total solar irradiance variation between 1874 and 1988, Science, 247, 556–558, https://doi.org/10.1126/science.247.4942.556, 1990.
Foukal, P. and Vernazza, J.: The effect of magnetic fields on solar luminosity, Astrophys. J., 234, 707–715, https://doi.org/10.1086/157547, 1979.
Foukal, P., Little, R., Graves, J., Rabin, D., and Lynch, D.: Infrared imaging of faculae at the deepest photospheric layers, Solar Phys., 353, 712–715, https://doi.org/10.1086/168660, 1990.
Fr{öhlich}, C.: Solar Irradiance Variability Since 1978. Revision of the PMOD Composite during Solar Cycle 21, Space Sci. Rev., 125, 53–65, https://doi.org/10.1007/s11214-006-9046-5, 2006.
Fr{öhlich}, C.: Evidence of a long-term trend in total solar irradiance, Astron. Astrophys., 501, L27–L30, https://doi.org/10.1051/0004-6361/200912318, 2009.
Fr{öhlich}, C. and Lean, J.: Total Solar Irradiance Variations: The Construction of a Composite and its Comparison with Models, in: Correlated Phenomena at the Sun, in the Heliosphere and in Geospace, edited by: Wilson, A., vol. 415 of ESA Special Publication, p. 227, 1997.
Fr{öhlich}, C. and Lean, J.: The Sun's total irradiance: Cycles, trends and related climate change uncertainties since 1976, Geophys. Res. Lett., 25, 4377–4380, https://doi.org/10.1029/1998GL900157, 1998.
Fr{öhlich}, C. and Lean, J.: Solar radiative output and its variability: evidence and mechanisms, Astron. Astrophys. Rev., 12, 273–320, https://doi.org/10.1007/s00159-004-0024-1, 2004.
Fröhlich, C., Andersen, B. N., Appourchaux, T., Berthomieu, G., Crommelynck, D. A., Domingo, V., Fichot, A., Finsterle, W., Gomez, M. F., Gough, D., Jimenez, A., Leifsen, T., Lombaerts, M., Pap, J. M., Provost, J., Cortes, T. R., Romero, J., Roth, H., Sekii, T., Telljohann, U., Toutain, T., and Wehrli, C.: First Results from VIRGO, the Experiment for Helioseismology and Solar Irradiance Monitoring on SOHO, Solar Phys., 170, 1–25, 1997.
Garcia, R. R.: Atmospheric physics: Solar surprise?, Nature, 467, 668–669, https://doi.org/10.1038/467668a, 2010.
Gerber, E. P., Baldwin, M. P., Akiyoshi, H., Austin, J., Bekki, S., Braesicke, P., Butchart, N., Chipperfield, M., Dameris, M., Dhomse, S., Frith, S. M., Garcia, R. R., Garny, H., Gettelman, A., Hardiman, S. C., Karpechko, A., Marchand, M., Morgenstern, O., Nielsen, J. E., Pawson, S., Peter, T., Plummer, D. A., Pyle, J. A., Rozanov, E., Scinocca, J. F., Shepherd, T. G., and Smale, D.: Stratosphere-troposphere coupling and annular mode variability in chemistry-climate models, J. Geophys. Res.-Atmos., 115, D00M06, https://doi.org/10.1029/2009JD013770, 2010.
Gray, L. J., Beer, J., Geller, M., Haigh, J. D., Lockwood, M., Matthes, K., Cubasch, U., Fleitmann, D., Harrison, G., Hood, L., Luterbacher, J., Meehl, G. A., Shindell, D., van Geel, B., and White, W.: SOLAR INFLUENCES ON CLIMATE, Rev. Geophys., 48, RG4001, https://doi.org/10.1029/2009RG000282, 2010.
Grossmann-Doerth, U., Knoelker, M., Schuessler, M., and Solanki, S. K.: The deep layers of solar magnetic elements, Astron. Astrophys., 285, 648–654, 1994.
Haberreiter, M., Krivova, N. A., Schmutz, W., and Wenzler, T.: Reconstruction of solar UV irradiance back to 1974, Adv. Space Res., 35, 365–369, https://doi.org/10.1051/0004-6361:200809503, 2005.
Haberreiter, M., Schmutz, W., and Hubeny, I.: NLTE model calculations for the solar atmosphere with an iterative treatment of opacity distribution functions, Astron. Astrophys., 492, 833–840, https://doi.org/10.1051/0004-6361:200809503, 2008.
Haigh, J. D.: The role of stratospheric ozone in modulating the solar radiative forcing of climate, Nature, 370, 544–546, https://doi.org/10.1038/370544a0, 1994.
Haigh, J. D.: A GCM study of climate change in response to the 11-year solar cycle, Q. J. Roy. Meteorol. Soc., 125, 871–892, https://doi.org/10.1002/qj.49712555506, 1999.
Haigh, J. D.: The Sun and the Earth's Climate, Living Rev. Solar Phys., 4, 64 pp., 2007.
Haigh, J. D., Lockwood, M., and Giampapa, M. S.: The Sun, Solar Analogs and the Climate, Springer Verlag, 2005.
Haigh, J. D., Winning, A. R., Toumi, R., and Harder, J. W.: An influence of solar spectral variations on radiative forcing of climate, Nature, 467, 696–699, https://doi.org/10.1038/nature09426, 2010.
Harder, J., Lawrence, G., Fontenla, J., Rottman, G., and Woods, T.: The Spectral Irradiance Monitor: Scientific Requirements, Instrument Design, and Operation Modes, Solar Phys., 230, 141–167, https://doi.org/10.1007/s11207-005-5007-5, 2005{a}.
Harder, J. W., Fontenla, J., Lawrence, G., Woods, T., and Rottman, G.: The Spectral Irradiance Monitor}: Measurement equations and calibration, Solar Phys., 230, 169–204, https://doi.org/10.1007/s11207-005-1528-1, 2005{b.
Harder, J. W., Fontenla, J. M., Pilewskie, P., Richard, E. C., and Woods, T. N.: Trends in solar spectral irradiance variability in the visible and infrared, Geophys. Res. Lett., 36, L07801, https://doi.org/10.1029/2008GL036797, 2009.
Harder, J. W., Thuillier, G., Richard, E. C., Brown, S. W., Lykke, K. R., Snow, M., McClintock, W. E., Fontenla, J. M., Woods, T. N., and Pilewskie, P.: The SORCE SIM solar spectrum: Comparison with recent observations, Solar Phys., 263, 3–24, https://doi.org/10.1007/s11207-010-9555-y, 2010.
Hardiman, S., Butchart, N., Hinton, T., Osprey, S., and Gray, L.: The effect of a well resolved stratosphere on surface climate: Differences between CMIP5 simulations with high and low top versions of the Met Office climate model, J. Climate, 25, 7083–7099, https://doi.org/10.1175/JCLI-D-11-00579.1, 2012.
Hickey, J. R., Stowe, L. L., Jacobowitz, H., Pellegrino, P., Maschhoff, R. H., House, F., and Vonder Haar, T. H.: Initial Solar Irradiance Determinations from Nimbus 7 Cavity Radiometer Measurements, Science, 208, 281–283, https://doi.org/10.1126/science.208.4441.281, 1980.
Hubeny, I. and Lanz, T.: Non-LTE line-blanketed model atmospheres of hot stars. 1: Hybrid complete linearization/accelerated lambda iteration method, Astrophys. J., 439, 875–904, https://doi.org/10.1086/175226, 1995.
Ineson, S., Scaife, A. A., Knight, J. R., Manners, J. C., Dunstone, N. J., Gray, L. J., and Haigh, J. D.: Solar forcing of winter climate variability in the Northern Hemisphere, Nature Geosci., 4, 753–757, https://doi.org/10.1038/ngeo1282, 2011.
Jain, K. and Hasan, S. S.: Modulation in the solar irradiance due to surface magnetism during cycles 21, 22 and 23, Astron. Astrophys., 425, 301–307, https://doi.org/10.1051/0004-6361:20047102, 2004.
Jones, G. S., Lockwood, M., and Stott, P. A.: What influence will future solar activity changes over the 21st century have on projected global near-surface temperature changes?, J. Geophys. Res.-Atmos., 117, D05103, https://doi.org/10.1029/2011JD017013, http://dx.doi.org/10.1029/2011JD017013, 2012.
Keller, C. U., Sch{ü}ssler, M., V{ö}gler, A., and Zakharov, V.: On the Origin of Solar Faculae, Astrophys. J., 607, L59–L62, https://doi.org/10.1086/421553, 2004.
Kobel, P., Solanki, S. K., and Borrero, J. M.: The continuum intensity as a function of magnetic field. I. Active region and quiet Sun magnetic elements, Astron. Astrophys., 531, A112, https://doi.org/10.1051/0004-6361/201016255, 2011.
Kodera, K.: Solar cycle modulation of the North Atlantic Oscillation: Implication in the spatial structure of the NAO, Geophys. Res. Lett., 29, 1218, https://doi.org/10.1029/2001GL014557, 2002.
Kodera, K. and Kuroda, Y.: Dynamical response to the solar cycle, Journal of Geophysical Research (Atmospheres), 107, 4749, https://doi.org/10.1029/2002JD002224, 2002.
Kopp, G. and Lean, J. L.: A new, lower value of total solar irradiance: Evidence and climate significance, Geophys. Res. Lett., 38, L01706, https://doi.org/10.1029/2010GL045777, 2011.
Kopp, G., Lawrence, G., and Rottman, G.: The Total Irradiance Monitor (TIM): Science Results, Solar Phys., 230, 129–139, https://doi.org/10.1007/s11207-005-7433-9, 2005.
Krivova, N. and Solanki, S.: Models of Solar Total and Spectral Irradiance Variability of Relevance for Climate Studies, in: Climate and Weather of the Sun-Earth System (CAWSES), edited by: Lübken, F.-J., Springer Atmospheric Sciences, 19–38, Springer, the Netherlands, https://doi.org/10.1007/978-94-007-4348-9_2, 2013.
Krivova, N. A., Solanki, S. K., Fligge, M., and Unruh, Y. C.: Reconstruction of solar irradiance variations in cycle 23: Is solar surface magnetism the cause?, Astron. Astrophys., 399, L1–L4, https://doi.org/10.1051/0004-6361:20030029, 2003.
Krivova, N. A., Solanki, S. K., and Floyd, L.: Reconstruction of solar UV irradiance in cycle 23, Astron. Astrophys., 452, 631–639, https://doi.org/10.1051/0004-6361:20064809, 2006.
Krivova, N. A., Balmaceda, L., and Solanki, S. K.: Reconstruction of solar total irradiance since 1700 from the surface magnetic flux, Astron. Astrophys., 467, 335–346, https://doi.org/10.1051/0004-6361:20066725, 2007.
Krivova, N. A., Solanki, S. K., Wenzler, T., and Podlipnik, B.: Reconstruction of solar UV irradiance since 1974, J. Geophys. Res.-Atmos., 114, D00I04, https://doi.org/10.1029/2009JD012375, 2009.
Krivova, N. A., Vieira, L. E. A., and Solanki, S. K.: Reconstruction of solar spectral irradiance since the Maunder minimum, J. Geophys. Res. (Space Physics), 115, A12112, https://doi.org/10.1029/2010JA015431, 2010.
Kuroda, Y.: Relationship between the Polar-Night Jet Oscillation and the Annular Mode, Geophys. Res. Lett., 29, 1240, https://doi.org/10.1029/2001GL013933, 2002.
Kurucz, R.: ATLAS9 Stellar Atmosphere Programs and 2 km/s grid., ATLAS9 Stellar Atmosphere Programs and 2 km/s grid. Kurucz CD-ROM No. 13. Cambridge, Mass.: Smithsonian Astrophysical Observatory, 13, 1993.
Kurucz, R. L.: New Opacity Calculations, in: NATO ASIC Proc. 341: Stellar Atmospheres – Beyond Classical Models, edited by: Crivellari, L., Hubeny, I., and Hummer, D. G., p. 441, 1991.
Kurucz, R. L.: ATLAS12, SYNTHE, ATLAS9, WIDTH9, et cetera, Memorie della Societa Astronomica Italiana Supplementi, 8, 14, 2005.
Langematz, U., Kubin, A., Brühl, C., Baumgaertner, A., Cubasch, U., and Spangehl, T.: Solar Effects on Chemistry and Climate Including Ocean Interactions, in: Climate and Weather of the Sun-Earth System (CAWSES), edited by: Lübken, F.-J., Springer Atmospheric Sciences, 541–571, Springer Netherlands, https://doi.org/10.1007/978-94-007-4348-9_29, 2013.
Lawrence, G. M., Rottman, G., Harder, J., and Woods, T.: Solar Total Irradiance Monitor (TIM), Metrologia, 37, 407, https://doi.org/10.1088/0026-1394/37/5/13, 2000.
Lawrence, G. M., Kopp, G., Rottman, G., Harder, J., Woods, T., and H Loui}: {Calibration of the total irradiance monitor, Metrologia, 40, S78–S80, https://doi.org/10.1088/0026-1394/40/1/317, 2003.
Lean, J.: The Sun's Variable Radiation and Its Relevance For Earth, Annu. Rev. Astron. Astrophys., 35, 33–67, https://doi.org/10.1146/annurev.astro.35.1.33, 1997.
Lean, J. L.: Evolution of the Sun's spectral irradiance since the Maunder Minimum, Geophys. Res. Lett., 27, 2425–2428, https://doi.org/10.1029/2000GL000043, 2000.
Lean, J. L. and DeLand, M. T.: How Does the Sun's Spectrum Vary?, J. Climate, 25, 2555–2560, https://doi.org/10.1175/JCLI-D-11-00571.1, 2012.
Lean, J. L. and Woods, T. N.: Solar total and spectral irradiance measurements and models, in: Evolving Solar Physics and the Climates of Earth and Space, edited by Schrijver, C. J. and Siscoe, G. L., Cambridge Univeristy Press, Cambridge, 2010.
Lean, J. L., Livingston, W. C., Heath, D. F., Donnelly, R. F., Skumanich, A., and White, O. R.: A three-component model of the variability of the solar ultraviolet flux 145–200 nM, J. Geophys. Res., 87, 10307–10317, https://doi.org/10.1029/JA087iA12p10307, 1982.
Lean, J. L., Rottman, G. J., Kyle, H. L., Woods, T. N., Hickey, J. R., and Puga, L. C.: Detection and parameterization of variations in solar mid- and near-ultraviolet radiation (200-400 nm), J. Geophys. Res., 102, 29939–29956, https://doi.org/10.1029/97JD02092, 1997.
Lee, III, R. B., Barkstrom, B. R., and Cess, R. D.: Characteristics of the earth radiation budget experiment solar monitors, Appl. Optics, 26, 3090–3096, https://doi.org/10.1364/AO.26.003090, 1987.
Lee, III, R. B., Gibson, M. A., Wilson, R. S., and Thomas, S.: Long-term total solar irradiance variability during sunspot cycle 22, J. Geophys. Res., 100, 1667–1675, https://doi.org/10.1029/94JA02897, 1995.
Lockwood, M.: Was UV spectral solar irradiance lower during the recent low sunspot minimum?, J. Geophys. Res.-Atmos., 116, D16103, https://doi.org/10.1029/2010JD014746, 2011.
Lockwood, M.: Solar Influence on Global and Regional Climates, Surveys in Geophysics, p. 27, https://doi.org/10.1007/s10712-012-9181-3, 2012.
Lockwood, M., Harrison, R. G., Woollings, T., and Solanki, S. K.: Are cold winters in Europe associated with low solar activity?, Environ. Res. Lett., 5, 024001, https://doi.org/10.1088/1748-9326/5/2/024001, 2010.
Loukitcheva, M., Solanki, S. K., Carlsson, M., and Stein, R. F.: Millimeter observations and chromospheric dynamics, Astron. Astrophys., 419, 747–756, https://doi.org/10.1051/0004-6361:20034159, 2004.
Marsh, D. R., Mills, M. J., Kinnison, D. E., Lamarque, J. F., Calvo, N., and Polvani, L.: Climate change from 1850 to 2005 simulated in CESM1 (WACCM), J. Climate, in review, 2013.
Matthes, K.: Atmospheric science: Solar cycle and climate predictions, Nature Geosci., 4, 735–736, https://doi.org/10.1038/ngeo1298, 2011.
Matthes, K., Kuroda, Y., Kodera, K., and Langematz, U.: Transfer of the solar signal from the stratosphere to the troposphere: Northern winter, J. Geophys. Res.-Atmos., 111, D06108, https://doi.org/10.1029/2005JD006283, 2006.
McClintock, W. E., Rottman, G. J., and Woods, T. N.: Solar-Stellar Irradiance Comparison Experiment II (Solstice II): Instrument Concept and Design, Solar Phys., 230, 225–258, https://doi.org/10.1007/s11207-005-7432-x, 2005.
Meehl, G., Arblaster, J., Matthes, K., Sassi, F., and van Loon, H.: Amplifying the Pacific climate system response to a small 11 year solar cycle forcing, Science, 325, 1114–1118, https://doi.org/10.1126/science.1172872, 2009.
Merkel, A. W., Harder, J. W., Marsh, D. R., Smith, A. K., Fontenla, J. M., and Woods, T. N.: The impact of solar spectral irradiance variability on middle atmospheric ozone, Geophys. Res. Lett., 38, L13802, https://doi.org/10.1029/2011GL047561, 2011.
Morrill, J. S., Floyd, L., and McMullin, D.: The Solar Ultraviolet Spectrum Estimated Using the Mg ii Index and Ca ii K Disk Activity, Solar Phys., 269, 253–267, https://doi.org/10.1007/s11207-011-9708-7, 2011{a}.
Morrill, J. S., Floyd, L. E., and McMullin, D. R.: Solar UV Spectral Irradiance Measured by SUSIM During Solar Cycle 22 and 23, AGU Fall Meeting Abstracts, p. A914, 2011{b}.
Nissen, K. M., Matthes, K., Langematz, U., and Mayer, B.: Towards a better representation of the solar cycle in general circulation models, Atmos. Chem. Phys., 7, 5391–5400, https://doi.org/10.5194/acp-7-5391-2007, 2007.
Oberl{änder}, S., Langematz, U., Matthes, K., Kunze, M., Kubin, A., Harder, J., Krivova, N. A., Solanki, S. K., Pagaran, J., and Weber, M.: The influence of spectral solar irradiance data on stratospheric heating rates during the 11 year solar cycle, Geophys. Res. Lett., 39, L01801, https://doi.org/10.1029/2011GL049539, 2012.
Oster, L., Schatten, K. H., and Sofia, S.: Solar irradiance variations due to active regions, Astrophys. J., 256, 768–773, https://doi.org/10.1086/159949, 1982.
Pagaran, J., Weber, M., and Burrows, J.: Solar Variability from 240 to 1750 nm in Terms of Faculae Brightening and Sunspot Darkening from SCIAMACHY, Astrophys. J., 700, 1884–1895, https://doi.org/10.1088/0004-637X/700/2/1884, 2009.
Pagaran, J., Harder, J. W., Weber, M., Floyd, L. E., and Burrows, J. P.: Intercomparison of SCIAMACHY and SIM vis-IR irradiance over several solar rotational timescales, Astron. Astrophys., 528, A67, https://doi.org/10.1051/0004-6361/201015632, 2011{a}.
Pagaran, J., Weber, M., DeLand, M. T., Floyd, L. E., and Burrows, J. P.: Solar Spectral Irradiance Variations in 240–1600 nm During the Recent Solar Cycles 21–3, Solar Phys., 272, 159–188, https://doi.org/10.1007/s11207-011-9808-4, 2011{b}.
Pap, J. M., Willson, R. C., Froelich, C., Donnelly, R. F., and Puga, L.: Long-term variations in total solar irradiance, Solar Phys., 152, 13–21, https://doi.org/10.1007/BF01473177, 1994.
Pap, J. M., Fox, P., Fröhlich, C., Hudson, H. S., Kuhn, J., McCormack, J., North, G., Sprigg, W., and Wu, S. T. (Eds.): Solar Variability and its Effects on Climate, vol. 141 of Geophysical Monograph Series, American Geophysical Union, Washington DC, 2004.
Penza, V., Caccin, B., Ermolli, I., Centrone, M., and Gomez, M. T.: Modeling solar irradiance variations through PSPT images and semiempirical models, in: Solar Variability as an Input to the Earth's Environment, edited by: Wilson, A., vol. 535 of ESA Special Publication, 299–302, 2003.
Penza, V., Caccin, B., Ermolli, I., and Centrone, M.: Comparison of model calculations and photometric observations of bright "magnetic" regions, Astron. Astrophys., 413, 1115–1123, https://doi.org/10.1051/0004-6361:20031397, 2004.
Penza, V., Pietropaolo, E., and Livingston, W.: Modeling the cyclic modulation of photospheric lines, Astron. Astrophys., 454, 349–358, https://doi.org/10.1051/0004-6361:20053405, 2006.
Preminger, D. G., Walton, S. R., and Chapman, G. A.: Photometric quantities for solar irradiance modeling, J. Geophys. Res. (Space Physics), 107, 1354, https://doi.org/10.1029/2001JA009169, 2002.
Remsberg, E. E.: On the response of Halogen Occultation Experiment (HALOE) stratospheric ozone and temperature to the 11-year solar cycle forcing, J. Geophys. Res.-Atmos., 113, D22304, https://doi.org/10.1029/2008JD010189, 2008.
R{öhrbein}, D., Cameron, R., and Sch{ü}ssler, M.: Is there a non-monotonic relation between photospheric brightness and magnetic field strength in solar plage regions?, Astron. Astrophys., 532, A140, https://doi.org/10.1051/0004-6361/201117090, 2011.
Rottman, G.: The SORCE Mission, Solar Phys., 230, 7–25, https://doi.org/10.1007/s11207-005-8112-6, 2005.
Rottman, G., Woods, T., Snow, M., and Detoma, G.: The solar cycle variation in ultraviolet irradiance, Adv. Space Res., 27, 1927–1932, https://doi.org/10.1016/S0273-1177(01)00272-1, 2001.
Rottman, G., Floyd, L., and Viereck, R.: Measurement of the Solar Ultraviolet Irradiance, in: Solar Variability and its Effects on Climate. Geophysical Monograph 141, edited by Pap, J. M., Fox, P., Fröhlich, C., Hudson, H. S., Kuhn, J., McCormack, J., North, G., Sprigg, W., and Wu, S. T., vol. 141 of Washington DC American Geophysical Union Geophysical Monograph Series, 111–125, 2004.
Rottman, G. J., Woods, T. N., and Sparn, T. P.: Solar-Stellar Irradiance Comparison Experiment 1. I – Instrument design and operation, J. Geophys. Res., 98, 10667, https://doi.org/10.1029/93JD00462, 1993.
Rozanov, E., Egorova, T., Fr{ö}hlich, C., Haberreiter, M., Peter, T., and Schmutz, W.: Estimation of the ozone and temperature sensitivity to the variation of spectral solar flux, in: From Solar Min to Max: Half a Solar Cycle with SOHO, edited by: Wilson, A., vol. 508 of ESA Special Publication\/, pp. 181–184, 2002.
Rozanov, E. V., Egorova, T. A., Shapiro, A. I., and Schmutz, W. K.: Modeling of the atmospheric response to a strong decrease of the solar activity, in: IAU Symposium, vol. 286 of IAU Symposium\/, pp. 215–224, https://doi.org/10.1017/S1743921312004863, 2012.
Rutten, R. J.: Radiative Transfer in Stellar Atmospheres, University of Utrecht, Uttecht, the Netherlands, 2003.
Rutten, R. J. and Kostik, R. I.: Empirical NLTE analyses of solar spectral lines. III – Iron lines versus LTE models of the photosphere, Astron. Astrophys., 115, 104–114, 1982.
Schmidt, G. A., Jungclaus, J. H., Ammann, C. M., Bard, E., Braconnot, P., Crowley, T. J., Delaygue, G., Joos, F., Krivova, N. A., Muscheler, R., Otto-Bliesner, B. L., Pongratz, J., Shindell, D. T., Solanki, S. K., Steinhilber, F., and Vieira, L. E. A.: Climate forcing reconstructions for use in PMIP simulations of the Last Millennium (v1.1), Geosci. Model Dev., 5, 185–191, https://doi.org/10.5194/gmd-5-185-2012, 2012.
Schmutz, W., Fehlmann, A., H{ü}lsen, G., Meindl, P., Winkler, R., Thuillier, G., Blattner, P., Buisson, F., Egorova, T., Finsterle, W., Fox, N., Gr{ö}bner, J., Hochedez, J.-F., Koller, S., Meftah, M., Meisonnier, M., Nyeki, S., Pfiffner, D., Roth, H., Rozanov, E., Spescha, M., Wehrli, C., Werner, L., and Wyss, J. U.: The PREMOS/PICARD instrument calibration, Metrologia, 46, 202, https://doi.org/10.1088/0026-1394/46/4/S13, 2009.
Schmutz, W., Fehlmann, A., Finsterle, W., and the PREMOS team: First light of PREMOS/PICARD, Annual report 2011, p. 44, PMOD/WRC, www.pmodwrc.ch, 2012.
Schraner, M., Rozanov, E., Schnadt Poberaj, C., Kenzelmann, P., Fischer, A. M., Zubov, V., Luo, B. P., Hoyle, C. R., Egorova, T., Fueglistaler, S., Brönnimann, S., Schmutz, W., and Peter, T.: Technical Note: Chemistry-climate model SOCOL: version 2.0 with improved transport and chemistry/microphysics schemes, Atmos. Chem. Phys., 8, 5957–5974, https://doi.org/10.5194/acp-8-5957-2008, 2008.
Schrijver, C. J., Livingston, W. C., Woods, T. N., and Mewaldt, R. A.: The minimal solar activity in 2008–2009 and its implications for long-term climate modeling, Geophys. Res. Lett., 38, L06701, https://doi.org/10.1029/2011GL046658, 2011.
Shapiro, A., Schmutz, W., Dominique, M., and Shapiro, A.: Eclipses observed by LYRA – a sensitive tool to test the models for the solar irradiance, Solar Phys., in press, 2013{a}.
Shapiro, A. I., Schmutz, W., Schoell, M., Haberreiter, M., and Rozanov, E.: NLTE solar irradiance modeling with the COSI code, Astron. Astrophys., 517, A48, https://doi.org/10.1051/0004-6361/200913987, 2010.
Shapiro, A. I., Schmutz, W., Rozanov, E., Schoell, M., Haberreiter, M., Shapiro, A. V., and Nyeki, S.: A new approach to the long-term reconstruction of the solar irradiance leads to large historical solar forcing, Astron. Astrophys., 529, A67, https://doi.org/10.1051/0004-6361/201016173, 2011.
Shapiro, A. V., Rozanov, E. V., Shapiro, A. I., Egorova, T. A., Harderi, J., Weber, M., Smith, A. K., Schmutz, W., and Peter, T.: The role of the solar irradiance variability in the evolution of the middle atmosphere during 2004–2009, J. Geophys. Res.-Atmos., https://doi.org/10.1002/jgrd.50208, in press, 2013{b}.
Shapiro, A. V., Shapiro, A. I., Dominique, M., Dammasch, I. E., Wehrli, C., Rozanov, E., and Schmutz, W.: Detection of Solar Rotational Variability in the Large Yield RAdiometer (LYRA) 190–222 nm Spectral Band, Solar Phys., p. 121, https://doi.org/10.1007/s11207-012-0029-2, 2012.
Shchukina, N. and Trujillo Bueno, J.: The Iron Line Formation Problem in Three-dimensional Hydrodynamic Models of Solar-like Photospheres, Astrophys. J., 550, 970–990, https://doi.org/10.1086/319789, 2001.
Snow, M., McClintock, W. E., Rottman, G., and Woods, T. N.: Solar Stellar Irradiance Comparison Experiment II (Solstice II): Examination of the Solar Stellar Comparison Technique, Solar Phys., 230, 295–324, https://doi.org/10.1007/s11207-005-8763-3, 2005.
Socas-Navarro, H.: A high-resolution three-dimensional model of the solar photosphere derived from Hinode observations, Astron. Astrophys., 529, A37, https://doi.org/10.1051/0004-6361/201015805, 2011.
Solanki, S. K. and Unruh, Y. C.: A model of the wavelength dependence of solar irradiance variations, Astron. Astrophys., 329, 747–753, 1998.
Solanki, S. K., Usoskin, I. G., Kromer, B., Sch{ü}ssler, M., and Beer, J.: Unusual activity of the Sun during recent decades compared to the previous 11,000 years, Nature, 431, 1084–1087, https://doi.org/10.1038/nature02995, 2004.
Solanki, S. K., Krivova, N. A., and Haigh, J. D.: Solar Activity and Climate, Annu. Rev. Astron. Astrophys., 51, http://www.annualreviews.org/doi/abs/10.1146/annurev-astro-082812-141007, 2013.
Solomon, S. D., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H.: Climate Change 2007: The Physical Science Basis (Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change), Cambridge Univeristy Press, Cambridge, UK, 2007.
SPARC-CCMVal: SPARC Report on the Evaluation of Chemistry-Climate Models, SPARC Report No. 5, WCRP-132, WMO/TD-No. 1526, edited by: Eyring, V., Shepherd, T. G., and Waugh, D. W., www.atmosp.physics.utoronto.ca/SPARC (last access: May 2011), 2010.
Sperfeld, P., Metzdorf, J., Galal Yousef, S., Stock, K. D., and M{ö}ller, W.: Improvement and extension of the black-body-based spectral irradiance scale, Metrologia, 35, 267, https://doi.org/10.1088/0026-1394/35/4/9, 1998.
Spruit, H. C.: Pressure equilibrium and energy balance of small photospheric fluxtubes, Solar Phys., 50, 269–295, https://doi.org/10.1007/BF00155292, 1976.
Spruit, H. C.: The flow of heat near a starspot, Astron. Astrophys., 108, 356–360, 1982.
Swartz, W. H., Stolarski, R. S., Oman, L. D., Fleming, E. L., and Jackman, C. H.: Middle atmosphere response to different descriptions of the 11-yr solar cycle in spectral irradiance in a chemistry-climate model, Atmos. Chem. Phys., 12, 5937–5948, https://doi.org/10.5194/acp-12-5937-2012, 2012.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Thuillier, G., Herse, M., Simon, P. C., Labs, D., Mandel, H., Gillotay, D., and Foujols, T.: The Visible Solar Spectral Irradiance from 350 to 850 NM as Measured by the SOLSPEC Spectrometer During the Atlas I Mission, Solar Phys., 177, 41–61, 1998.
Thuillier, G., Floyd, L., Woods, T. N., Cebula, R., Hilsenrath, E., Hers{é}, M., and Labs, D.: Solar Irradiance Reference Spectra, in: Solar Variability and its Effects on Climate. Geophysical Monograph 141, edited by Pap, J. M., Fox, P., Fröhlich, C., Hudson, H. S., Kuhn, J., McCormack, J., North, G., Sprigg, W., and Wu, S. T., vol. 141 of Washington DC American Geophysical Union Geophysical Monograph Series, 171–194, 2004.
Thuillier, G., Foujols, T., Bols{é}e, D., Gillotay, D., Hers{é}, M., Peetermans, W., Decuyper, W., Mandel, H., Sperfeld, P., Pape, S., Taubert, D. R., and Hartmann, J.: SOLAR/SOLSPEC: Scientific Objectives, Instrument Performance and Its Absolute Calibration Using a Blackbody as Primary Standard Source, Solar Phys., 257, 185–213, https://doi.org/10.1007/s11207-009-9361-6, 2009.
Thuillier, G., Claudel, J., Djafer, D., Haberreiter, M., Mein, N., Melo, S. M. L., Schmutz, W., Shapiro, A., Short, C. I., and Sofia, S.: The Shape of the Solar Limb: Models and Observations, Solar Phys., 268, 125–149, https://doi.org/10.1007/s11207-010-9664-7, 2011.
Thuillier, G., DeLand, M., Shapiro, A., Schmutz, W., Bols{é}e, D., and Melo, S. M. L.: The Solar Spectral Irradiance as a Function of the Mg ii Index for Atmosphere and Climate Modelling, Solar Phys., 277, 245–266, https://doi.org/10.1007/s11207-011-9912-5, 2012.
Topka, K. P., Tarbell, T. D., and Title, A. M.: Properties of the smallest solar magnetic elements. I – Facular contrast near sun center, Astrophys. J., 396, 351–363, https://doi.org/10.1086/171721, 1992.
Trenberth, K. E., Fasullo, J. T., and Kiehl, J.: Earth's Global Energy Budget, B. Am. Meteorol. Soc., 90, 311–324, https://doi.org/10.1175/2008BAMS2634.1, 2009.
Uitenbroek, H.: Multilevel Radiative Transfer with Partial Frequency Redistribution, Astrophys. J., 557, 389–398, https://doi.org/10.1086/321659, 2001.
Uitenbroek, H.: The Effect of Coherent Scattering on Radiative Losses in the Solar Ca II K Line, Astrophys. J., 565, 1312–1322, https://doi.org/10.1086/324698, 2002.
Uitenbroek, H. and Criscuoli, S.: Why One-dimensional Models Fail in the Diagnosis of Average Spectra from Inhomogeneous Stellar Atmospheres, Astrophys. J., 736, 69, https://doi.org/10.1088/0004-637X/736/1/69, 2011.
Unruh, Y. C., Solanki, S. K., and Fligge, M.: The spectral dependence of facular contrast and solar irradiance variations, Astron. Astrophys., 345, 635–642, 1999.
Unruh, Y. C., Krivova, N. A., Solanki, S. K., Harder, J. W., and Kopp, G.: Spectral irradiance variations: comparison between observations and the SATIRE model on solar rotation time scales, Astron. Astrophys., 486, 311–323, https://doi.org/10.1051/0004-6361:20078421, 2008.
Unruh, Y. C., Ball, W. T., and Krivova, N. A.: Solar Irradiance Models and Measurements: A Comparison in the 220–240 nm wavelength band, Surveys in Geophysics, 33, 475–481, https://doi.org/10.1007/s10712-011-9166-7, 2012.
Usoskin, I. G.: A History of Solar Activity over Millennia, Living Reviews in Solar Physics, 5, http://solarphysics.livingreviews.org/Articles/lrsp-2008-3/, 2008.
van Loon, H., Meehl, G. A., and Shea, D.: Coupled air-sea response to solar forcing in the Pacific region during northern winter, J. Geophys. Res., 112, D02108, https://doi.org/10.1029/2006JD007378, 2007.
Vernazza, J. E., Avrett, E. H., and Loeser, R.: Structure of the solar chromosphere. III – Models of the EUV brightness components of the quiet-sun, Astrophys. J. Suppl. Ser., 45, 635–725, https://doi.org/10.1086/190731, 1981.
Vieira, L. E. A., Solanki, S. K., Krivova, N. A., and Usoskin, I.: Evolution of the solar irradiance during the Holocene, Astron. Astrophys., 531, A6, https://doi.org/10.1051/0004-6361/201015843, 2011.
Viereck, R., Puga, L., McMullin, D., Judge, D., Weber, M., and Tobiska, W. K.: The Mg II index: A proxy for solar EUV, Geophys. Res. Lett., 28, 1343–1346, https://doi.org/10.1029/2000GL012551, 2001.
V{ögler}, A.: On the effect of photospheric magnetic fields on solar surface brightness, Results of radiative MHD simulations, Memorie della Società Astronomica Italianasai, 76, 842–849, 2005.
Wang, H., Spirock, T., Goode, P., Lee, C., Zirin, H., and Kosonocky, W.: Contrast of faculae at 1.6 mMicrons, Astrophys. J., 495, 957–964, https://doi.org/10.1086/305311, 1998.
Weber, M., Burrows, J. P., and Cebula, R. P.: Gome Solar UV/VIS Irradiance Measurements between 1995 and 1997 – First Results on Proxy Solar Activity Studies, Solar Phys., 177, 63–77, 1998.
Weber, M., Pagaran, J., Dikty, S., von Savigny, C., Burrows, J., DeLand, M., Floyd, L., Harder, J., Mlynczak, M., and Schmidt, H.: Investigation of solar irradiance variations and their impact on middle atmospheric ozone, in: Climate and Weather of the Sun-Earth System (CAWSES), edited by: Lubken, F.-J., Springer Atmospheric Sciences, 39–54, Springer, the Netherlands, https://doi.org/10.1007/978-94-007-4348-9_3, 2013.
Wehrli, C., Schmutz, W., and Shapiro, A.: Correlation of Spectral Solar Irradiance with solar activity as measured by SPM/VIRGO, Astron. Astrophys., submitted, 2012.
Wenzler, T., Solanki, S. K., Krivova, N. A., and Fluri, D. M.: Comparison between KPVT/SPM and SoHO/MDI magnetograms with an application to solar irradiance reconstructions, Astron. Astrophys., 427, 1031–1043, https://doi.org/10.1051/0004-6361:20041313, 2004.
Wenzler, T., Solanki, S. K., and Krivova, N. A.: Can surface magnetic fields reproduce solar irradiance variations in cycles 22 and 23?, Astron. Astrophys., 432, 1057–1061, https://doi.org/10.1051/0004-6361:20041956, 2005.
Wenzler, T., Solanki, S. K., Krivova, N. A., and Fr{ö}hlich, C.: Reconstruction of solar irradiance variations in cycles 21–23 based on surface magnetic fields, Astron. Astrophys., 460, 583–595, https://doi.org/10.1051/0004-6361:20065752, 2006.
Wenzler, T., Solanki, S. K., and Krivova, N. A.: Reconstructed and measured total solar irradiance: Is there a secular trend between 1978 and 2003?, Geophys. Res. Lett., 36, L11102, https://doi.org/10.1029/2009GL037519, 2009.
Willson, R. C.: Active cavity radiometer type IV, Appl. Optics, 18, 179–188, https://doi.org/10.1364/AO.18.000179, 1979.
Willson, R. C.: The ACRIMSAT/ACRIM III experiment: extending the precision, long-term total solar irradiance climate database, Earth Observer, 13, 14–17, 2001.
Willson, R. C., Gulkis, S., Janssen, M., Hudson, H. S., and Chapman, G. A.: Observations of solar irradiance variability, Science, 211, 700–702, https://doi.org/10.1126/science.211.4483.700, 1981.
WMO: Global Ozone Research and Monitoring Project Report No. 52, in: Scientific Assessment of Ozone Depletion: 2010, p. 516, World Meteorological Organisation, Geneva, Switzerland, 2011.
Woods, T.: Solar Irradiance Variability: Comparisons of Observations over Solar Cycles 21–24, in: EGU General Assembly Conference Abstracts, edited by: Abbasi, A. and Giesen, N., vol. 14 of EGU General Assembly Conference Abstracts\/, p. 1520, 2012.
Woods, T. N. and Rottman, G. J.: Solar Ultraviolet Variability Over Time Periods of Aeronomic Interest, in: Atmospheres in the Solar System: Comparative Aeronomy, edited by: Mendillo, M., Nagy, A., and Waite, J. H., vol. 130 of AGU Monographs, p. 221, AGU, Washington DC, https://doi.org/10.1029/130GM14, 2002.
Woods, T. N., Prinz, D. K., Rottman, G. J., London, J., Crane, P. C., Cebula, R. P., Hilsenrath, E., Brueckner, G. E., Andrews, M. D., White, O. R., VanHoosier, M. E., Floyd, L. E., Herring, L. C., Knapp, B. G., Pankratz, C. K., and Reiser, P. A.: Validation of the UARS solar ultraviolet irradiances: Comparison with the ATLAS 1 and 2 measurements, J. Geophys. Res., 101, 9541–9570, https://doi.org/10.1029/96JD00225, 1996.
Woods, T. N., Tobiska, W. K., Rottman, G. J., and Worden, J. R.: Improved solar Lyman α irradiance modeling from 1947 through 1999 based on UARS observations, J. Geophys. Res., 105, 27195–27216, https://doi.org/10.1029/2000JA000051, 2000.
Zhong, W., Osprey, S. M., Gray, L. J., and Haigh, J. D.: Influence of the prescribed solar spectrum on calculations of atmospheric temperature, Geophys. Res. Lett., 35, L22813, https://doi.org/10.1029/2008GL035993, 2008.
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