Articles | Volume 13, issue 14
Atmos. Chem. Phys., 13, 6907–6920, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 23 Jul 2013
Research article | 23 Jul 2013
HIRS channel 12 brightness temperature dataset and its correlations with major climate indices
L. Shi et al.
K. Gierens, K. Eleftheratos, and L. Shi
Atmos. Chem. Phys., 14, 7533–7541,
Freek Liefhebber, Sarah Lammens, Paul W. G. Brussee, André Bos, Viju O. John, Frank Rüthrich, Jacobus Onderwaater, Michael G. Grant, and Jörg Schulz
Atmos. Meas. Tech., 13, 1167–1179,Short summary
The paper addresses the need for automatic quality control of a whole series of Earth observation (EO) time series extending a period of over 40 years. Such a dataset is valuable and may provide important information about trends related to geo-physical processes. Furthermore, as the dataset is that large, there is a need to completely automate the processes, as otherwise the effort would become impracticable. The result is a system with a high probability of detection and low false alarm rate.
Imke Hans, Martin Burgdorf, Viju O. John, Jonathan Mittaz, and Stefan A. Buehler
Atmos. Meas. Tech., 10, 4927–4945,Short summary
In our article we present the evolution of the noise of 11 microwave radiometers used for meteorological remote sensing. We used the Allan deviation to compute an estimate of the noise on the calibration measurements. We provide graphics as an overview to enable the users of the data to decide on the usability of the data for their purposes. Moreover, our analysis enters the production of new FCDRs (Fundamental Climate Data Records) within the FIDUCEO project.
Laura Riuttanen, Marja Bister, Veli-Matti Kerminen, Viju O. John, Anu-Maija Sundström, Miikka Dal Maso, Jouni Räisänen, Victoria A. Sinclair, Risto Makkonen, Filippo Xausa, Gerrit de Leeuw, and Markku Kulmala
Atmos. Chem. Phys., 16, 14331–14342,Short summary
Here we show observational evidence that aerosols increase upper tropospheric humidity (UTH) via changes in the microphysics of deep convection. Using remote sensing data over the ocean east of China in summer, we show that increased aerosol loads are associated with an UTH increase of 2.2 ± 1.5 in units of relative humidity. We show that humidification of aerosols or other meteorological covariation is very unlikely to be the cause for this result indicating relevance for the global climate.
Richard Larsson, Mathias Milz, Peter Rayer, Roger Saunders, William Bell, Anna Booton, Stefan A. Buehler, Patrick Eriksson, and Viju O. John
Atmos. Meas. Tech., 9, 841–857,Short summary
By modeling the Special Sensor Microwave Imager/Sounder's mesospheric measurements, inversions methods can be applied to retreive mesospheric temperatures. We compare the fast forward model used by Met Office with reference simulations and find that there is a reasonable agreement between both models and measurements. Thus we recommend that the fast model is used in data assimilation to improve mesospheric temperature retrievals.
K. Gierens, K. Eleftheratos, and L. Shi
Atmos. Chem. Phys., 14, 7533–7541,
V. O. John, D. E. Parker, S. A. Buehler, J. Price, and R. W. Saunders
Atmos. Chem. Phys. Discuss.,
Revised manuscript has not been submitted
Related subject area
Subject: Radiation | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)Photovoltaic power potential in West Africa using long-term satellite dataA semi-empirical potential energy surface and line list for H216O extending into the near-ultravioletGlobal distribution and 14-year changes in erythemal irradiance, UV atmospheric transmission, and total column ozone for2005–2018 estimated from OMI and EPIC observationsBiomass-burning-induced surface darkening and its impact on regional meteorology in eastern ChinaAir pollution slows down surface warming over the Tibetan PlateauEstimation of hourly land surface heat fluxes over the Tibetan Plateau by the combined use of geostationary and polar-orbiting satellitesEstimations of global shortwave direct aerosol radiative effects above opaque water clouds using a combination of A-Train satellite sensorsUncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievalsSimulated and observed horizontal inhomogeneities of optical thickness of Arctic stratusNet radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurementsComparison of global observations and trends of total precipitable water derived from microwave radiometers and COSMIC radio occultation from 2006 to 2013Characterizing energy budget variability at a Sahelian site: a test of NWP model behaviourScale dependence of cirrus horizontal heterogeneity effects on TOA measurements – Part I: MODIS brightness temperatures in the thermal infraredAerosol scattering effects on water vapor retrievals over the Los Angeles BasinDirectional, horizontal inhomogeneities of cloud optical thickness fields retrieved from ground-based and airbornespectral imagingAirborne observations of far-infrared upwelling radiance in the ArcticRetrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up tableMicrowave signatures of ice hydrometeors from ground-based observations above Summit, GreenlandShortwave direct radiative effects of above-cloud aerosols over global oceans derived from 8 years of CALIOP and MODIS observationsRetrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT dataInstantaneous longwave radiative impact of ozone: an application on IASI/MetOp observationsA method to retrieve super-thin cloud optical depth over ocean background with polarized sunlightAirborne observations and simulations of three-dimensional radiative interactions between Arctic boundary layer clouds and ice floesDeriving polarization properties of desert-reflected solar spectra with PARASOL dataUsing IASI to simulate the total spectrum of outgoing long-wave radiancesInvestigation of the "elevated heat pump" hypothesis of the Asian monsoon using satellite observationsImproved retrieval of direct and diffuse downwelling surface shortwave flux in cloudless atmosphere using dynamic estimates of aerosol content and type: application to the LSA-SAF projectSurface-sensible and latent heat fluxes over the Tibetan Plateau from ground measurements, reanalysis, and satellite dataInfluence of local surface albedo variability and ice crystal shape on passive remote sensing of thin cirrusCombining MODIS, AVHRR and in situ data for evapotranspiration estimation over heterogeneous landscape of the Tibetan PlateauModeling polarized solar radiation from the ocean–atmosphere system for CLARREO inter-calibration applicationsPerformance of the Line-By-Line Radiative Transfer Model (LBLRTM) for temperature, water vapor, and trace gas retrievals: recent updates evaluated with IASI case studiesMulti-satellite aerosol observations in the vicinity of cloudsCLARA-SAL: a global 28 yr timeseries of Earth's black-sky surface albedoQuantitative comparison of the variability in observed and simulated shortwave reflectanceRegional radiative impact of volcanic aerosol from the 2009 eruption of Mt. RedoubtAirborne hyperspectral observations of surface and cloud directional reflectivity using a commercial digital cameraDirect and semi-direct radiative forcing of smoke aerosols over cloudsValidity of satellite measurements used for the monitoring of UV radiation risk on healthStatistics of vertical backscatter profiles of cirrus cloudsUsing surface remote sensors to derive radiative characteristics of Mixed-Phase Clouds: an example from M-PACEDetermination of land surface heat fluxes over heterogeneous landscape of the Tibetan Plateau by using the MODIS and in situ dataCirrus cloud-temperature interactions in the tropical tropopause layer: a case studyCharacteristics of water-vapour inversions observed over the Arctic by Atmospheric Infrared Sounder (AIRS) and radiosondesUse of satellite erythemal UV products in analysing the global UV changesEffects of absorbing aerosols in cloudy skies: a satellite study over the Atlantic OceanSpectrally-invariant behavior of zenith radiance around cloud edges simulated by radiative transferAssessment of the calibration performance of satellite visible channels using cloud targets: application to Meteosat-8/9 and MTSAT-1RDownscaling of METEOSAT SEVIRI 0.6 and 0.8 μm channel radiances utilizing the high-resolution visible channelTesting remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals
Ina Neher, Susanne Crewell, Stefanie Meilinger, Uwe Pfeifroth, and Jörg Trentmann
Atmos. Chem. Phys., 20, 12871–12888,Short summary
Photovoltaic power is one current option to meet the rising energy demand with low environmental impact. Global horizontal irradiance (GHI) is the fuel for photovoltaic power installations and needs to be evaluated to plan and dimension power plants. In this study, 35 years of satellite-based GHI data are analyzed over West Africa to determine their impact on photovoltaic power generation. The major challenges for the development of a solar-based power system in West Africa are then outlined.
Eamon K. Conway, Iouli E. Gordon, Jonathan Tennyson, Oleg L. Polyansky, Sergei N. Yurchenko, and Kelly Chance
Atmos. Chem. Phys., 20, 10015–10027,Short summary
Water vapour has a complex spectrum and absorbs from the microwave to the near-UV where it dissociates. There is limited knowledge of the absorption features in the near-UV, and there is a large disagreement for the available models and experiments. We created a new ab initio model that is in good agreement with observation at 363 nm. At lower wavelengths, our calculations suggest that the latest experiments overestimate absorption. This has implications for trace gas retrievals in the near-UV.
Jay Herman, Alexander Cede, Liang Huang, Jerald Ziemke, Omar Torres, Nickolay Krotkov, Matthew Kowalewski, and Karin Blank
Atmos. Chem. Phys., 20, 8351–8380,Short summary
The amount of erythemal irradiance reaching the Earth's surface has been calculated from ozone, aerosol, and reflectivity data obtained from OMI and DSCOVR/EPIC satellite instruments showing areas with high levels of solar UV radiation. Changes in erythemal irradiance, cloud transmission, aerosol transmission, and ozone absorption have been estimated for 14 years 2005–2018 in units of percent per year for 191 locations, mostly large cities, and from EPIC for the entire illuminated Earth.
Rong Tang, Xin Huang, Derong Zhou, and Aijun Ding
Atmos. Chem. Phys., 20, 6177–6191,Short summary
Biomass-burning-induced large areas of dark char (i.e.
surface darkening) could influence the radiative energy balance. During the harvest season in eastern China, satellite retrieval shows that surface albedo was significantly decreased. Observational evidence of meteorological perturbations from the surface darkening is identified, which is further examined by model simulation. This work highlights the importance of burning-induced albedo change in weather forecast and regional climate.
Aolin Jia, Shunlin Liang, Dongdong Wang, Bo Jiang, and Xiaotong Zhang
Atmos. Chem. Phys., 20, 881–899,Short summary
The Tibetan Plateau (TP) plays a vital role in regional and global climate change due to its location and orography. After generating a long-term surface radiation (SR) dataset, we characterized the SR spatiotemporal variation along with temperature. Evidence from multiple data sources indicated that the TP dimming was primarily driven by increased aerosols from human activities, and the cooling effect of aerosol loading offsets TP surface warming, revealing the human impact on regional warming.
Lei Zhong, Yaoming Ma, Zeyong Hu, Yunfei Fu, Yuanyuan Hu, Xian Wang, Meilin Cheng, and Nan Ge
Atmos. Chem. Phys., 19, 5529–5541,Short summary
Fine-temporal-resolution turbulent heat fluxes at the plateau scale have significant importance for studying diurnal variation characteristics of atmospheric boundary and weather systems in the Tibetan Plateau (TP) and its surroundings. Time series of land surface heat fluxes with high temporal resolution over the entire TP were derived. The derived surface heat fluxes proved to be in good agreement with in situ measurements and were superior to GLDAS flux products.
Meloë S. Kacenelenbogen, Mark A. Vaughan, Jens Redemann, Stuart A. Young, Zhaoyan Liu, Yongxiang Hu, Ali H. Omar, Samuel LeBlanc, Yohei Shinozuka, John Livingston, Qin Zhang, and Kathleen A. Powell
Atmos. Chem. Phys., 19, 4933–4962,Short summary
Significant efforts are required to estimate the direct radiative effects of aerosols above clouds (DAREcloudy). We have used a combination of passive and active A-Train satellite sensors and derive mainly positive global and regional DAREcloudy values (e.g., global seasonal values between 0.13 and 0.26 W m-2). Despite differences in methods and sensors, the DAREcloudy values in this study are generally higher than previously reported. We discuss the primary reasons for these higher estimates.
Domenico Cimini, Philip W. Rosenkranz, Mikhail Y. Tretyakov, Maksim A. Koshelev, and Filomena Romano
Atmos. Chem. Phys., 18, 15231–15259,Short summary
The paper presents a general approach to quantify the uncertainty related to atmospheric absorption models. These models describe how the atmosphere interacts with radiation, and they have general implications for atmospheric sciences. The presented approach contributes to a better understanding of the total uncertainty affecting atmospheric radiative properties, thus reducing the chances of systematic errors when observations are exploited for weather forecast or climate trend derivations.
Michael Schäfer, Katharina Loewe, André Ehrlich, Corinna Hoose, and Manfred Wendisch
Atmos. Chem. Phys., 18, 13115–13133,Short summary
Airborne observed horizontal fields of cloud optical thickness are compared with semi-idealized large eddy simulations of Arctic stratus. The comparison focuses on horizontal cloud inhomogeneities and directional features of the small-scale cloud structures. Using inhomogeneity parameters and autocorrelation analysis it is investigated, if the observed small-scale cloud inhomogeneities can be represented by the model. Forcings for cloud inhomogeneities are investigated in a sensitivity study.
Qianqian Song, Zhibo Zhang, Hongbin Yu, Seiji Kato, Ping Yang, Peter Colarco, Lorraine A. Remer, and Claire L. Ryder
Atmos. Chem. Phys., 18, 11303–11322,Short summary
Mineral dust is the most abundant atmospheric aerosol component in terms of dry mass. In this study, we integrate recent aircraft measurements of dust microphysical and optical properties with satellite retrievals of aerosol and radiative fluxes to quantify the dust direct radiative effects on the shortwave and longwave radiation at both the top of the atmosphere and the surface in the tropical North Atlantic during summer months.
Shu-Peng Ho, Liang Peng, Carl Mears, and Richard A. Anthes
Atmos. Chem. Phys., 18, 259–274,Short summary
In this study, we compare 7 years of atmospheric total precipitable water (TPW) derived from multiple microwave radiometers to collocated TPW estimates derived from COSMIC radio occultation under various atmospheric conditions over the oceans. Results show that these two TPW trends from independent observations are larger than previous estimates and are a strong indication of the positive water vapor–temperature feedback on a warming planet.
Anna Mackie, Paul I. Palmer, and Helen Brindley
Atmos. Chem. Phys., 17, 15095–15119,Short summary
We compare the balance of solar and thermal radiation at the surface and the top of the atmosphere from a forecasting model to observations at a site in Niamey, Niger, in the Sahel. To interpret the energy budgets we examine other factors, such as cloud properties, water vapour and aerosols, which we use to understand the differences between the observation and model. We find that some differences are linked to lack of ice in clouds, underestimated aerosol loading and surface temperatures.
Thomas Fauchez, Steven Platnick, Kerry Meyer, Céline Cornet, Frédéric Szczap, and Tamás Várnai
Atmos. Chem. Phys., 17, 8489–8508,Short summary
This study presents impact of cirrus cloud horizontal heterogeneity on simulated thermal infrared brightness temperatures at the top of the atmosphere for spatial resolutions ranging from 50 m to 10 km. The cirrus is generated by the 3DCLOUD code and the radiative transfer by the 3DMCPOL code. Brightness temperatures are mostly impacted by the horizontal transport effect and plane-parallel bias at high and coarse spatial resolutions, respectively, with a minimum around 100 m–250 m.
Zhao-Cheng Zeng, Qiong Zhang, Vijay Natraj, Jack S. Margolis, Run-Lie Shia, Sally Newman, Dejian Fu, Thomas J. Pongetti, Kam W. Wong, Stanley P. Sander, Paul O. Wennberg, and Yuk L. Yung
Atmos. Chem. Phys., 17, 2495–2508,Short summary
We propose a novel approach to describing the scattering effects of atmospheric aerosols using H2O retrievals in the near infrared. We found that the aerosol scattering effect is the primary contributor to the variations in the wavelength dependence of the H2O SCD retrievals and the scattering effects can be derived using H2O retrievals from multiple bands. This proposed method could potentially contribute towards reducing biases in greenhouse gas retrievals from space.
Michael Schäfer, Eike Bierwirth, André Ehrlich, Evelyn Jäkel, Frank Werner, and Manfred Wendisch
Atmos. Chem. Phys., 17, 2359–2372,Short summary
Cloud optical thickness fields, retrieved from solar spectral radiance measurements, are used to investigate the directional structure of horizontal cloud inhomogeneities with scalar one-dimensional inhomogeneity parameters, two-dimensional auto-correlation functions, and two-dimensional Fourier analysis. The investigations reveal that it is not sufficient to quantify horizontal cloud inhomogeneities by one-dimensional inhomogeneity parameters; two-dimensional parameters are necessary.
Quentin Libois, Liviu Ivanescu, Jean-Pierre Blanchet, Hannes Schulz, Heiko Bozem, W. Richard Leaitch, Julia Burkart, Jonathan P. D. Abbatt, Andreas B. Herber, Amir A. Aliabadi, and Éric Girard
Atmos. Chem. Phys., 16, 15689–15707,Short summary
The first airborne measurements performed with the FIRR are presented. Vertical profiles of upwelling spectral radiance in the far-infrared are measured in the Arctic atmosphere for the first time. They show the impact of the temperature inversion on the radiative budget of the atmosphere, especially in the far-infrared. The presence of ice clouds also significantly alters the far-infrared budget, highlighting the critical interplay between water vapour and clouds in this very dry region.
Jani Huttunen, Harri Kokkola, Tero Mielonen, Mika Esa Juhani Mononen, Antti Lipponen, Juha Reunanen, Anders Vilhelm Lindfors, Santtu Mikkonen, Kari Erkki Juhani Lehtinen, Natalia Kouremeti, Alkiviadis Bais, Harri Niska, and Antti Arola
Atmos. Chem. Phys., 16, 8181–8191,Short summary
For a good estimate of the current forcing by anthropogenic aerosols, knowledge in past is needed. One option to lengthen time series is to retrieve aerosol optical depth from solar radiation measurements. We have evaluated several methods for this task. Most of the methods produce aerosol optical depth estimates with a good accuracy. However, machine learning methods seem to be the most applicable not to produce any systematic biases, since they do not need constrain the aerosol properties.
Claire Pettersen, Ralf Bennartz, Mark S. Kulie, Aronne J. Merrelli, Matthew D. Shupe, and David D. Turner
Atmos. Chem. Phys., 16, 4743–4756,Short summary
We examined four summers of data from a ground-based atmospheric science instrument suite at Summit Station, Greenland, to isolate the signature of the ice precipitation. By using a combination of instruments with different specialities, we identified a passive microwave signature of the ice precipitation. This ice signature compares well to models using synthetic data characteristic of the site.
Zhibo Zhang, Kerry Meyer, Hongbin Yu, Steven Platnick, Peter Colarco, Zhaoyan Liu, and Lazaros Oreopoulos
Atmos. Chem. Phys., 16, 2877–2900,Short summary
The frequency of occurrence and shortwave direct radiative effects (DRE) of above-cloud aerosols (ACAs) over global oceans are investigated using 8 years of collocated CALIOP and MODIS observations. We estimated that ACAs have a global ocean annual mean diurnally averaged cloudy-sky DRE of 0.015 W m−2 (range of −0.03 to 0.06 W m−2) at TOA. The DREs at surface and within atmosphere are −0.15 W m−2 (range of −0.09 to −0.21 W m−2), and 0.17 W m−2 (range of 0.11 to 0.24 W m−2), respectively.
Wenjun Tang, Jun Qin, Kun Yang, Shaomin Liu, Ning Lu, and Xiaolei Niu
Atmos. Chem. Phys., 16, 2543–2557,Short summary
In this paper, we develop a new method to quickly retrieve high-resolution surface solar radiation (SSR) over China by combining MODIS and MTSAT data. The RMSEs of the retrieved SSR at hourly, daily, and monthly scales are about 98.5, 34.2, and 22.1 W m−2. The accuracy is comparable to or even higher than other two satellite radiation products. Finally, we derive an 8-year high-resolution SSR data set (hourly, 5 km) from 2007 to 2014, which would contribute to studies of land surface processes.
S. Doniki, D. Hurtmans, L. Clarisse, C. Clerbaux, H. M. Worden, K. W. Bowman, and P.-F. Coheur
Atmos. Chem. Phys., 15, 12971–12987,
W. Sun, R. R. Baize, G. Videen, Y. Hu, and Q. Fu
Atmos. Chem. Phys., 15, 11909–11918,Short summary
A method is reported for retrieving super-thin cloud optical depth with polarized light. It is found that near-backscatter p-polarized light is sensitive to clouds, but not to ocean conditions. Near-backscatter p-polarized intensity linearly relates to super-thin cloud optical depth. Based on these findings, super-thin cloud optical depth can be retrieved with little effect from surface reflection.
M. Schäfer, E. Bierwirth, A. Ehrlich, E. Jäkel, and M. Wendisch
Atmos. Chem. Phys., 15, 8147–8163,
W. Sun, R. R. Baize, C. Lukashin, and Y. Hu
Atmos. Chem. Phys., 15, 7725–7734,
E. C. Turner, H.-T. Lee, and S. F. B. Tett
Atmos. Chem. Phys., 15, 6561–6575,
M. M. Wonsick, R. T. Pinker, and Y. Ma
Atmos. Chem. Phys., 14, 8749–8761,
X. Ceamanos, D. Carrer, and J.-L. Roujean
Atmos. Chem. Phys., 14, 8209–8232,
Q. Shi and S. Liang
Atmos. Chem. Phys., 14, 5659–5677,
C. Fricke, A. Ehrlich, E. Jäkel, B. Bohn, M. Wirth, and M. Wendisch
Atmos. Chem. Phys., 14, 1943–1958,
Y. Ma, Z. Zhu, L. Zhong, B. Wang, C. Han, Z. Wang, Y. Wang, L. Lu, P. M. Amatya, W. Ma, and Z. Hu
Atmos. Chem. Phys., 14, 1507–1515,
W. Sun and C. Lukashin
Atmos. Chem. Phys., 13, 10303–10324,
M. J. Alvarado, V. H. Payne, E. J. Mlawer, G. Uymin, M. W. Shephard, K. E. Cady-Pereira, J. S. Delamere, and J.-L. Moncet
Atmos. Chem. Phys., 13, 6687–6711,
T. Várnai, A. Marshak, and W. Yang
Atmos. Chem. Phys., 13, 3899–3908,
A. Riihelä, T. Manninen, V. Laine, K. Andersson, and F. Kaspar
Atmos. Chem. Phys., 13, 3743–3762,
Y. L. Roberts, P. Pilewskie, B. C. Kindel, D. R. Feldman, and W. D. Collins
Atmos. Chem. Phys., 13, 3133–3147,
C. L. Young, I. N. Sokolik, and J. Dufek
Atmos. Chem. Phys., 12, 3699–3715,
A. Ehrlich, E. Bierwirth, M. Wendisch, A. Herber, and J.-F. Gayet
Atmos. Chem. Phys., 12, 3493–3510,
E. M. Wilcox
Atmos. Chem. Phys., 12, 139–149,
F. Jégou, S. Godin-Beekman, M. P. Corrêa, C. Brogniez, F. Auriol, V. H. Peuch, M. Haeffelin, A. Pazmino, P. Saiag, F. Goutail, and E. Mahé
Atmos. Chem. Phys., 11, 13377–13394,
P. Veglio and T. Maestri
Atmos. Chem. Phys., 11, 12925–12943,
G. de Boer, W. D. Collins, S. Menon, and C. N. Long
Atmos. Chem. Phys., 11, 11937–11949,
Y. Ma, L. Zhong, B. Wang, W. Ma, X. Chen, and M. Li
Atmos. Chem. Phys., 11, 10461–10469,
J. R. Taylor, W. J. Randel, and E. J. Jensen
Atmos. Chem. Phys., 11, 10085–10095,
A. Devasthale, J. Sedlar, and M. Tjernström
Atmos. Chem. Phys., 11, 9813–9823,
I. Ialongo, A. Arola, J. Kujanpää, and J. Tamminen
Atmos. Chem. Phys., 11, 9649–9658,
K. Peters, J. Quaas, and N. Bellouin
Atmos. Chem. Phys., 11, 1393–1404,
J. C. Chiu, A. Marshak, Y. Knyazikhin, and W. J. Wiscombe
Atmos. Chem. Phys., 10, 11295–11303,
S.-H. Ham and B. J. Sohn
Atmos. Chem. Phys., 10, 11131–11149,
H. M. Deneke and R. A. Roebeling
Atmos. Chem. Phys., 10, 9761–9772,
T. Zinner, G. Wind, S. Platnick, and A. S. Ackerman
Atmos. Chem. Phys., 10, 9535–9549,
Bai, X., Wang, J., Sellinger, C., Clites, A., and Assel, R.: Interannual variability of Great Lakes ice cover and its relationship to NAO and ENSO, J. Geophys. Res., 117, C03002, https://doi.org/10.1029/2010jc006932, 2012.
Barnston, A. G. and Livezey, R. E.: Classification, Seasonality and Persistence of Low-Frequency Atmospheric Circulation Patterns, Mon. Weather Rev., 115, 1083–1126, https://doi.org/10.1175/1520-0493(1987)115<1083:csapol>2.0.co;2, 1987.
Bates, J. J. and Jackson, D. L.: Trends in upper-tropospheric humidity, Geophys. Res. Lett., 28, 1695–1698, 2001.
Bates, J. J., Wu, X., and Jackson, D. L.: Interannual variability of upper-troposphere water vapor band brightness temperature, J. Climate, 9, 427–438, 1996.
Bates, J. J., Jackson, D. L., Breon, F. M., and Bergen, Z. D.: Variability of tropical upper tropospheric humidity 1979–1998, J. Geophys. Res.-Atmos., 106, 32271–32281, 2001.
Blackmon, M. L., Lee, Y. H., and Wallace, J. M.: Horizontal Structure of 500 mb Height Fluctuations with Long, Intermediate and Short Time Scales, J. Atmos. Sci., 41, 961–980, https://doi.org/10.1175/1520-0469(1984)041<0961:hsomhf>2.0.co;2, 1984.
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J. L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011bams2856.1, 2011.
Brogniez, H., Roca, R., and Picon, L.: Evaluation of the distribution of subtropical free tropospheric humidity in AMIP-2 simulations using METEOSAT water vapor channel data, Geophys. Res. Lett., 32, L19708, https://doi.org/10.1029/2005gl024341, 2005.
Brogniez, H., Roca, R., and Picon, L.: A clear-sky radiance archive from Meteosat "water vapor" observations, J. Geophys. Res.-Atmos., 111, D21109, https://doi.org/10.1029/2006jd007238, 2006.
Brogniez, H., Roca, R., and Picon, L.: Study of the Free Tropospheric Humidity Interannual Variability Using Meteosat Data and an Advection-Condensation Transport Model, J. Climate, 22, 6773–6787, https://doi.org/10.1175/2009jcli2963.1, 2009.
Buehler, S. A., Kuvatov, M., Sreerekha, T. R., John, V. O., Rydberg, B., Eriksson, P., and Notholt, J.: A cloud filtering method for microwave upper tropospheric humidity measurements, Atmos. Chem. Phys., 7, 5531–5542, https://doi.org/10.5194/acp-7-5531-2007, 2007.
Buehler, S. A., Kuvatov, M., John, V. O., Milz, M., Soden, B. J., Jackson, D. L., and Notholt, J.: An upper tropospheric humidity data set from operational satellite microwave data, J. Geophys. Res.-Atmos., 113, D14110, https://doi.org/10.1029/2007jd009314, 2008.
Chen, W. Y. and Van den Dool, H.: Sensitivity of Teleconnection Patterns to the Sign of Their Primary Action Center, Mon. Weather Rev., 131, 2885–2899, https://doi.org/10.1175/1520-0493(2003)131<2885:sotptt>2.0.co;2, 2003.
Chevallier, F.: Sampled databases of 60-level atmospheric profiles from the ECMWF analyses. EUMETSAT/ECMWF SAF Programme Research Rep. 4, 27 pp., 2001.
Choi, K. S., Wu, C. C., and Byun, H. R.: Possible connection between summer tropical cyclone frequency and spring Arctic Oscillation over East Asia, Clim. Dynam., 38, 2613–2629, https://doi.org/10.1007/s00382-011-1088-z, 2012.
Christoudias, T., Pozzer, A., and Lelieveld, J.: Influence of the North Atlantic Oscillation on air pollution transport, Atmos. Chem. Phys., 12, 869–877, https://doi.org/10.5194/acp-12-869-2012, 2012.
Chung, E. S., Soden, B. J., Sohn, B. J., and Schmetz, J.: Model-simulated humidity bias in the upper troposphere and its relation to the large-scale circulation, J. Geophys. Res.-Atmos., 116, https://doi.org/10.1029/2011jd015609, D10110, 2011.
Folland, C. K., Knight, J., Linderholm, H. W., Fereday, D., Ineson, S., and Hurrell, J. W.: The Summer North Atlantic Oscillation: Past, Present, and Future, J. Climate, 22, 1082–1103, https://doi.org/10.1175/2008jcli2459.1, 2009.
Geer, A. J., Harries, J. E., and Brindley, H. E.: Spatial patterns of climate variability in upper-tropospheric water vapor radiances from satellite data and climate model simulations, J. Climate, 12, 1940–1955, 1999.
Higgins, R. W., Leetmaa, A., and Kousky, V. E.: Relationships between climate variability and winter temperature extremes in the United States, J. Climate, 15, 1555–1572, https://doi.org/10.1175/1520-0442(2002)015<1555:Rbcvaw>2.0.Co;2, 2002.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., and Clough, S. A.: Evaluation of upper tropospheric water vapor in the NCAR Community Climate Model (CCM3) using modeled and observed HIRS radiances, J. Geophys. Res.-Atmos., 108, 4037, https://doi.org/10.1029/2002jd002539, 2003.
Jedlovec, G. J., Lerner, J. A., and Atkinson, R. J.: A satellite-derived upper-tropospheric water vapor transport index for climate studies, J. Appl. Meteorol., 39, 15–41, https://doi.org/10.1175/1520-0450(2000)039<0015:asdutw>2.0.co;2, 2000.
John, V. O., Holl, G., Allan, R. P., Buehler, S. A., Parker, D. E., and Soden, B. J.: Clear-sky biases in satellite infrared estimates of upper tropospheric humidity and its trends, J. Geophys. Res.-Atmos., 116, D14108, https://doi.org/10.1029/2010jd015355, 2011.
John, V. O., Holl, G., Buehler, S. A., Candy, B., Saunders, R. W., and Parker, D. E.: Understanding intersatellite biases of microwave humidity sounders using global simultaneous nadir overpasses, J. Geophys. Res.-Atmos., 117, D02305, https://doi.org/10.1029/2011jd016349, 2012.
Johnson, N. C. and Feldstein, S. B.: The Continuum of North Pacific Sea Level Pressure Patterns: Intraseasonal, Interannual, and Interdecadal Variability, J. Climate, 23, 851–867, https://doi.org/10.1175/2009jcli3099.1, 2010.
Knapp, K. R.: Inter-satellite bias of the high resolution infrared radiation sounder water vapor channel determined using ISCCP B1 data, J. Appl. Remote Sens., 6, 063523, https://doi.org/10.1117/1.Jrs.6.063523, 2012.
Lanzante, J. R. and Gahrs, G. E.: The "Clear-Sky Bias" of TOVS Upper-Tropospheric Humidity, J. Climate, 13, 4034–4041, https://doi.org/10.1175/1520-0442(2000)013<4034:tcsbot>2.0.co;2, 2000.
Leathers, D. J., Yarnal, B., and Palecki, M. A.: The Pacific/North American Teleconnection Pattern and United States Climate. Part I: Regional Temperature and Precipitation Associations, J. Climate, 4, 517–528, https://doi.org/10.1175/1520-0442(1991)004<0517:tpatpa>2.0.co;2, 1991.
L'Heureux, M. L., Kumar, A., Bell, G. D., Halpert, M. S., and Higgins, R. W.: Role of the Pacific-North American (PNA) pattern in the 2007 Arctic sea ice decline, Geophys. Res. Lett., 35, L20701, https://doi.org/10.1029/2008gl035205, 2008.
Li, J., Yu, R., and Zhou, T.: Teleconnection between NAO and Climate Downstream of the Tibetan Plateau, J. Climate, 21, 4680–4690, https://doi.org/10.1175/2008jcli2053.1, 2008.
Lim, Y. K. and Schubert, S. D.: The impact of ENSO and the Arctic Oscillation on winter temperature extremes in the southeast United States, Geophys. Res. Lett., 38, L15706, https://doi.org/10.1029/2011gl048283, 2011.
Lindfors, A. V., Mackenzie, I. A., Tett, S. F. B., and Shi, L.: Climatological Diurnal Cycles in Clear-Sky Brightness Temperatures from the High-Resolution Infrared Radiation Sounder (HIRS), J. Atmos. Ocean. Tech., 28, 1199–1205, https://doi.org/10.1175/jtech-d-11-00093.1, 2011.
Machado, L. A. T., Rossow, W. B., Guedes, R. L., and Walker, A. W.: Life cycle variations of mesoscale convective systems over the Americas, Mon. Weather Rev., 126, 1630–1654, 1998.
MacKenzie, I. A., Tett, S. F. B., and Lindfors, A. V.: Climate Model–Simulated Diurnal Cycles in HIRS Clear-Sky Brightness Temperatures, J. Climate, 25, 5845–5863, https://doi.org/10.1175/jcli-d-11-00552.1, 2012.
Mantua, N. J. and Hare, S. R.: The Pacific decadal oscillation, J. Oceanogr., 58, 35–44, 2002.
Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., and Francis, R. C.: A Pacific interdecadal climate oscillation with impacts on salmon production, B. Am. Meteorol. Soc., 78, 1069–1079, 1997.
Mapes, B. E. and Houze, R. A.: Cloud Clusters and Superclusters over the Oceanic Warm Pool, Mon. Weather Rev., 121, 1398–1415, 1993.
McCarthy, M. P. and Toumi, R.: Observed interannual variability of tropical troposphere relative humidity, J. Climate, 17, 3181–3191, 2004.
Minobe, S.: Resonance in bidecadal and pentadecadal climate oscillations over the North Pacific: Role in climatic regime shifts, Geophys. Res. Lett., 26, 855–858, https://doi.org/10.1029/1999gl900119, 1999.
Mo, K. C.: Relationships between low-frequency variability in the Southern Hemisphere and sea surface temperature anomalies, J. Climate, 13, 3599–3610, https://doi.org/10.1175/1520-0442(2000)013<3599:Rblfvi>2.0.Co;2, 2000.
Namias, J.: The index cycle and its role in the general circulation, J. Meteor., 7, 130–139, https://doi.org/10.1175/1520-0469(1950)007<0130:TICAIR>2.0.CO;2, 1950.
Newman, M., Compo, G. P., and Alexander, M. A.: ENSO-Forced Variability of the Pacific Decadal Oscillation, J. Climate, 16, 3853–3857, https://doi.org/10.1175/1520-0442(2003)016<3853:evotpd>2.0.co;2, 2003.
Park, T. W., Ho, C. H., and Yang, S.: Relationship between the Arctic Oscillation and Cold Surges over East Asia, J. Climate, 24, 68–83, https://doi.org/10.1175/2010jcli3529.1, 2011.
Patara, L., Visbeck, M., Masina, S., Krahmann, G., and Vichi, M.: Marine biogeochemical responses to the North Atlantic Oscillation in a coupled climate model, J. Geophys. Res., 116, C07023, https://doi.org/10.1029/2010jc006785, 2011.
Peings, Y., Douville, H., and Terray, P.: Extended winter Pacific North America oscillation as a precursor of the Indian summer monsoon rainfall, Geophys. Res. Lett., 36, L11710, https://doi.org/10.1029/2009gl038453, 2009.
Picon, L., Roca, R., Serrar, S., Monge, J. L., and Desbois, M.: A new METEOSAT "water vapor" archive for climate studies, J. Geophys. Res.-Atmos., 108, 4301, https://doi.org/10.1029/2002jd002640, 2003.
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P.: Numerical recipes: the art of scientific computing, Cambridge University Press, Cambridge, UK, New York, 1256 pp., 2007.
Previdi, M. and Veron, D. E.: North Atlantic cloud cover response to the North Atlantic oscillation and relationship to surface temperature changes, J. Geophys. Res., 112, D07104, https://doi.org/10.1029/2006jd007516, 2007.
Rigor, I. G., Wallace, J. M., and Colony, R. L.: Response of Sea Ice to the Arctic Oscillation, J. Climate, 15, 2648–2663, https://doi.org/10.1175/1520-0442(2002)015<2648:rositt>2.0.co;2, 2002.
Roca, R., Picon, L., Desbois, M., LeTreut, H., and Morcrette, J. J.: Direct comparison of Meteosat water vapor channel data and general circulation model results, Geophys. Res. Lett., 24, 147–150, https://doi.org/10.1029/96gl03923, 1997.
Ropelewski, C. F., and Halpert, M. S.: Quantifying Southern Oscillation – Precipitation relationships, J. Climate, 9, 1043–1059, https://doi.org/10.1175/1520-0442(1996)009<1043:Qsopr>2.0.Co;2, 1996.
Rossow, W. B. and Pearl, C.: 22-Year survey of tropical convection penetrating into the lower stratosphere, Geophys. Res. Lett., 34, L04803, https://doi.org/10.1029/2006gl028635, 2007.
Saunders, R., Matricardi, M., and Brunel, P.: An improved fast radiative transfer model for assimilation of satellite radiance observations, Q. J. Roy Meteor. Soc., 125, 1407–1425, https://doi.org/10.1256/Smsqj.55614, 1999.
Schreck, C. J., Shi, L., Kossin, J. P., and Bates, J. J.: Identifying the MJO, Equatorial Waves, and Their Impacts Using 32 Years of HIRS Upper-Tropospheric Water Vapor, J. Climate, 26, 1418–1431, https://doi.org/10.1175/jcli-d-12-00034.1, 2012.
Shi, L. and Bates, J. J.: Three decades of intersatellite-calibrated High-Resolution Infrared Radiation Sounder upper tropospheric water vapor, J. Geophys. Res.-Atmos., 116, D04108, https://doi.org/10.1029/2010jd014847, 2011.
Shi, L., Bates, J. J., and Cao, C.: Scene Radiance–Dependent Intersatellite Biases of HIRS Longwave Channels, J. Atmos. Ocean. Tech., 25, 2219–2229, https://doi.org/10.1175/2008jtecha1058.1, 2008.
Soden, B. J.: The diurnal cycle of convection, clouds, and water vapor in the tropical upper troposphere, Geophys. Res. Lett., 27, 2173–2176, 2000.
Soden, B. J. and Bretherton, F. P.: Upper-tropospheric relative-humidity from the GOES 6.7 mu-m channel – method and climatology for July 1987, J. Geophys. Res.-Atmos., 98, 16669–16688, https://doi.org/10.1029/93jd01283, 1993.
Soden, B. J. and Lanzante, J. R.: An assessment of satellite and radiosonde climatologies of upper-tropospheric water vapor, J. Climate, 9, 1235–1250, 1996.
Soden, B. J., Jackson, D. L., Ramaswamy, V., Schwarzkopf, M. D., and Huang, X. L.: The radiative signature of upper tropospheric moistening, Science, 310, 841–844, https://doi.org/10.1126/science.1115602, 2005.
Sohn, B. J. and Park, S.-C.: Strengthened tropical circulations in past three decades inferred from water vapor transport, J. Geophys. Res., 115, D15112, https://doi.org/10.1029/2009jd013713, 2010.
Thompson, D. W. J. and Wallace, J. M.: Annular modes in the extratropical circulation. Part I: Month-to-month variability, J. Climate, 13, 1000–1016, https://doi.org/10.1175/1520-0442(2000)013<1000:Amitec>2.0.Co;2, 2000.
Trenberth, K. E.: The definition of El Nino, B. Am. Meteorol. Soc., 78, 2771–2777, 1997.
Vandeberg, L., Pyomjamsri, A., and Schmetz, J.: Monthly Mean Upper Tropospheric Humidities in Cloud-Free Areas from Meteosat Observations, Int. J. Climatol., 11, 819–826, 1991.
van den Dool, H. M., Saha, S., and Johansson, Å.: Empirical Orthogonal Teleconnections, J. Climate, 13, 1421–1435, https://doi.org/10.1175/1520-0442(2000)013<1421:eot>2.0.co;2, 2000.
Vicente-Serrano, S. M. and López-Moreno, J. I.: Nonstationary influence of the North Atlantic Oscillation on European precipitation, J. Geophys. Res., 113, D20120, https://doi.org/10.1029/2008jd010382, 2008.
Wallace, J. M. and Gutzler, D. S.: Teleconnections in the Geopotential Height Field during the Northern Hemisphere Winter, Mon. Weather Rev., 109, 784–812, https://doi.org/10.1175/1520-0493(1981)109<0784:titghf>2.0.co;2, 1981.
Wu, X. Q., Bates, J. J., and Khalsa, S. J. S.: A Climatology of the Water-Vapor Band Brightness Temperatures from Noaa Operational Satellites, J. Climate, 6, 1282–1300, 1993.
Wylie, D., Jackson, D. L., Menzel, W. P., and Bates, J. J.: Trends in global cloud cover in two decades of HIRS observations, J. Climate, 18, 3021–3031, 2005.
Wylie, D., Eloranta, E., Spinhirne, J. D., and Palm, S. P.: Comparison of cloud cover statistics from the GLAS lidar with HIRS, J. Climate, 20, 4968–4981, https://doi.org/10.1175/Jcli4269.1, 2007.
Wylie, D. P., Menzel, W. P., Woolf, H. M., and Strabala, K. I.: 4 Years of Global Cirrus Cloud Statistics Using Hirs, J. Climate, 7, 1972–1986, 1994.
Yu, L. J., Zhang, Z. H., Zhou, M. Y., Zhong, S., Lenschow, D., Hsu, H. M., Wu, H. D., and Sun, B.: Influence of the Antarctic Oscillation, the Pacific-South American modes and the El Nino-Southern Oscillation on the Antarctic surface temperature and pressure variations, Antarct Sci., 24, 59–76, https://doi.org/10.1017/S095410201100054x, 2012.
Zuidema, P.: Convective clouds over the Bay of Bengal, Mon. Weather Rev., 131, 780–798, 2003.