Articles | Volume 15, issue 6
https://doi.org/10.5194/acp-15-3193-2015
© Author(s) 2015. 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-15-3193-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Interannual variability of isotopic composition in water vapor over western Africa and its relationship to ENSO
A. Okazaki
CORRESPONDING AUTHOR
Institute of Industrial Science, University of Tokyo, Tokyo, Japan
Y. Satoh
Institute of Industrial Science, University of Tokyo, Tokyo, Japan
G. Tremoy
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, Institut Pierre Simon Laplace, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
F. Vimeux
Laboratoire des Sciences du Climat et de l'Environnement, UMR8212, Institut Pierre Simon Laplace, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Laboratoire HydroSciences Montpellier, UMR 5569, Institut de Recherche pour le Développement, CNRS-IRD-UM1-UM2, Montpellier, France
R. Scheepmaker
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
K. Yoshimura
Institute of Industrial Science, University of Tokyo, Tokyo, Japan
Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan
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Dapeng Feng, Hylke Beck, Jens de Bruijn, Reetik Kumar Sahu, Yusuke Satoh, Yoshihide Wada, Jiangtao Liu, Ming Pan, Kathryn Lawson, and Chaopeng Shen
Geosci. Model Dev., 17, 7181–7198, https://doi.org/10.5194/gmd-17-7181-2024, https://doi.org/10.5194/gmd-17-7181-2024, 2024
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Accurate hydrologic modeling is vital to characterizing water cycle responses to climate change. For the first time at this scale, we use differentiable physics-informed machine learning hydrologic models to simulate rainfall–runoff processes for 3753 basins around the world and compare them with purely data-driven and traditional modeling approaches. This sets a benchmark for hydrologic estimates around the world and builds foundations for improving global hydrologic simulations.
Amaelle Landais, Cécile Agosta, Françoise Vimeux, Olivier Magand, Cyrielle Solis, Alexandre Cauquoin, Niels Dutrievoz, Camille Risi, Christophe Leroy-Dos Santos, Elise Fourré, Olivier Cattani, Olivier Jossoud, Bénédicte Minster, Frédéric Prié, Mathieu Casado, Aurélien Dommergue, Yann Bertrand, and Martin Werner
Atmos. Chem. Phys., 24, 4611–4634, https://doi.org/10.5194/acp-24-4611-2024, https://doi.org/10.5194/acp-24-4611-2024, 2024
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We have monitored water vapor isotopes since January 2020 on Amsterdam Island in the Indian Ocean. We show 11 periods associated with abrupt negative excursions of water vapor δ18Ο. Six of these events show a decrease in gaseous elemental mercury, suggesting subsidence of air from a higher altitude. Accurately representing the water isotopic signal during these cold fronts is a real challenge for the atmospheric components of Earth system models equipped with water isotopes.
Ana Moreno, Miguel Iglesias, Cesar Azorin-Molina, Carlos Pérez-Mejías, Miguel Bartolomé, Carlos Sancho, Heather Stoll, Isabel Cacho, Jaime Frigola, Cinta Osácar, Arsenio Muñoz, Antonio Delgado-Huertas, Ileana Bladé, and Françoise Vimeux
Atmos. Chem. Phys., 21, 10159–10177, https://doi.org/10.5194/acp-21-10159-2021, https://doi.org/10.5194/acp-21-10159-2021, 2021
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We present a large and unique dataset of the rainfall isotopic composition at seven sites from northern Iberia to characterize their variability at daily and monthly timescales and to assess the role of climate and geographic factors in the modulation of δ18O values. We found that the origin, moisture uptake along the trajectory and type of precipitation play a key role. These results will help to improve the interpretation of δ18O paleorecords from lacustrine carbonates or speleothems.
Haili Hu, Otto Hasekamp, André Butz, André Galli, Jochen Landgraf, Joost Aan de Brugh, Tobias Borsdorff, Remco Scheepmaker, and Ilse Aben
Atmos. Meas. Tech., 9, 5423–5440, https://doi.org/10.5194/amt-9-5423-2016, https://doi.org/10.5194/amt-9-5423-2016, 2016
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In 2017, the TROPOMI spectrometer will be launched on board the Sentinel 5 Precursor satellite. It will deliver, among other things, daily global measurements of methane as part of the Copernicus atmospheric services.
In this paper, we present the algorithm that is used for operational data processing of the methane product from TROPOMI measurements of the shortwave and near-infrared spectral range, and we discuss its performance using realistic simulated measurements.
Jochen Landgraf, Joost aan de Brugh, Remco Scheepmaker, Tobias Borsdorff, Haili Hu, Sander Houweling, Andre Butz, Ilse Aben, and Otto Hasekamp
Atmos. Meas. Tech., 9, 4955–4975, https://doi.org/10.5194/amt-9-4955-2016, https://doi.org/10.5194/amt-9-4955-2016, 2016
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In 2016, the Sentinel 5 Precursor mission will be launched, with the TROPOMI instrument as its single payload. It will deliver daily global measurements of carbon monoxide for air quality monitoring as part of the Copernicus atmospheric services. In this paper, we focus on the operational data processing of the CO product from TROPOMI measurements of the shortwave infrared spectral range, and we discuss the algorithm's maturity.
Remco A. Scheepmaker, Joost aan de Brugh, Haili Hu, Tobias Borsdorff, Christian Frankenberg, Camille Risi, Otto Hasekamp, Ilse Aben, and Jochen Landgraf
Atmos. Meas. Tech., 9, 3921–3937, https://doi.org/10.5194/amt-9-3921-2016, https://doi.org/10.5194/amt-9-3921-2016, 2016
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We have developed an algorithm to measure HDO (heavy water) in the atmosphere using the TROPOMI satellite instrument, scheduled for launch in 2016. Giving an insight in the history of water vapour, these measurements will help to better understand the water cycle and its role in climate change. We use realistic measurement simulations to describe the performance of the algorithm, and show that TROPOMI will greatly improve and extend the HDO datasets from the previous SCIAMACHY and GOSAT missions.
Timothé Bolliet, Patrick Brockmann, Valérie Masson-Delmotte, Franck Bassinot, Valérie Daux, Dominique Genty, Amaelle Landais, Marlène Lavrieux, Elisabeth Michel, Pablo Ortega, Camille Risi, Didier M. Roche, Françoise Vimeux, and Claire Waelbroeck
Clim. Past, 12, 1693–1719, https://doi.org/10.5194/cp-12-1693-2016, https://doi.org/10.5194/cp-12-1693-2016, 2016
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This paper presents a new database of past climate proxies which aims to facilitate the distribution of data by using a user-friendly interface. Available data from the last 40 years are often fragmented, with lots of different formats, and online libraries are sometimes nonintuitive. We thus built a new dynamic web portal for data browsing, visualizing, and batch downloading of hundreds of datasets presenting a homogeneous format.
Rajan Bhattarai, Kei Yoshimura, Shinta Seto, Shinichiro Nakamura, and Taikan Oki
Nat. Hazards Earth Syst. Sci., 16, 1063–1077, https://doi.org/10.5194/nhess-16-1063-2016, https://doi.org/10.5194/nhess-16-1063-2016, 2016
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The assessment of flood risk is important for policymakers to evaluate flood damage and for disaster preparation. Large population densities and high property concentration make cities more vulnerable to floods and have higher damage per year. In Japan, about one billion USD in damage occurs annually due to floods related to rainfall only. In this paper, we report a damage occurrence probability function and a damage cost function for pluvial flood damage to estimate annual flood damage.
S. Miyazaki, K. Saito, J. Mori, T. Yamazaki, T. Ise, H. Arakida, T. Hajima, Y. Iijima, H. Machiya, T. Sueyoshi, H. Yabuki, E. J. Burke, M. Hosaka, K. Ichii, H. Ikawa, A. Ito, A. Kotani, Y. Matsuura, M. Niwano, T. Nitta, R. O'ishi, T. Ohta, H. Park, T. Sasai, A. Sato, H. Sato, A. Sugimoto, R. Suzuki, K. Tanaka, S. Yamaguchi, and K. Yoshimura
Geosci. Model Dev., 8, 2841–2856, https://doi.org/10.5194/gmd-8-2841-2015, https://doi.org/10.5194/gmd-8-2841-2015, 2015
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The paper provides an overall outlook and the Stage 1 experiment (site simulations) protocol of GTMIP, an open model intercomparison project for terrestrial Arctic, conducted as an activity of the Japan-funded Arctic Climate Change Research Project (GRENE-TEA). Models are driven by 34-year data created with the GRENE-TEA observations at four sites in Finland, Siberia and Alaska, and evaluated for physico-ecological key processes: energy budgets, snow, permafrost, phenology, and carbon budget.
R. A. Scheepmaker, C. Frankenberg, N. M. Deutscher, M. Schneider, S. Barthlott, T. Blumenstock, O. E. Garcia, F. Hase, N. Jones, E. Mahieu, J. Notholt, V. Velazco, J. Landgraf, and I. Aben
Atmos. Meas. Tech., 8, 1799–1818, https://doi.org/10.5194/amt-8-1799-2015, https://doi.org/10.5194/amt-8-1799-2015, 2015
S. J. Sutanto, G. Hoffmann, R. A. Scheepmaker, J. Worden, S. Houweling, K. Yoshimura, I. Aben, and T. Röckmann
Atmos. Meas. Tech., 8, 999–1019, https://doi.org/10.5194/amt-8-999-2015, https://doi.org/10.5194/amt-8-999-2015, 2015
C. Cressot, F. Chevallier, P. Bousquet, C. Crevoisier, E. J. Dlugokencky, A. Fortems-Cheiney, C. Frankenberg, R. Parker, I. Pison, R. A. Scheepmaker, S. A. Montzka, P. B. Krummel, L. P. Steele, and R. L. Langenfelds
Atmos. Chem. Phys., 14, 577–592, https://doi.org/10.5194/acp-14-577-2014, https://doi.org/10.5194/acp-14-577-2014, 2014
C. Risi, A. Landais, R. Winkler, and F. Vimeux
Clim. Past, 9, 2173–2193, https://doi.org/10.5194/cp-9-2173-2013, https://doi.org/10.5194/cp-9-2173-2013, 2013
R. A. Scheepmaker, C. Frankenberg, A. Galli, A. Butz, H. Schrijver, N. M. Deutscher, D. Wunch, T. Warneke, S. Fally, and I. Aben
Atmos. Meas. Tech., 6, 879–894, https://doi.org/10.5194/amt-6-879-2013, https://doi.org/10.5194/amt-6-879-2013, 2013
C. Frankenberg, D. Wunch, G. Toon, C. Risi, R. Scheepmaker, J.-E. Lee, P. Wennberg, and J. Worden
Atmos. Meas. Tech., 6, 263–274, https://doi.org/10.5194/amt-6-263-2013, https://doi.org/10.5194/amt-6-263-2013, 2013
Related subject area
Subject: Isotopes | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Strong sensitivity of the isotopic composition of methane to the plausible range of tropospheric chlorine
Using ship-borne observations of methane isotopic ratio in the Arctic Ocean to understand methane sources in the Arctic
Global inorganic nitrate production mechanisms: comparison of a global model with nitrate isotope observations
Rethinking Craig and Gordon's approach to modeling isotopic compositions of marine boundary layer vapor
Photochemical box modelling of volcanic SO2 oxidation: isotopic constraints
Uncertainties of fluxes and 13C ∕ 12C ratios of atmospheric reactive-gas emissions
Using δ13C-CH4 and δD-CH4 to constrain Arctic methane emissions
Air–snow transfer of nitrate on the East Antarctic Plateau – Part 2: An isotopic model for the interpretation of deep ice-core records
Continental-scale enrichment of atmospheric 14CO2 from the nuclear power industry: potential impact on the estimation of fossil fuel-derived CO2
Global modelling of H2 mixing ratios and isotopic compositions with the TM5 model
Simulation of the diurnal variations of the oxygen isotope anomaly (Δ17O) of reactive atmospheric species
The impact of anthropogenic emissions on atmospheric sulfate production pathways, oxidants, and ice core Δ17O(SO42–)
Quantifying atmospheric nitrate formation pathways based on a global model of the oxygen isotopic composition (Δ17O) of atmospheric nitrate
Sarah A. Strode, James S. Wang, Michael Manyin, Bryan Duncan, Ryan Hossaini, Christoph A. Keller, Sylvia E. Michel, and James W. C. White
Atmos. Chem. Phys., 20, 8405–8419, https://doi.org/10.5194/acp-20-8405-2020, https://doi.org/10.5194/acp-20-8405-2020, 2020
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The 13C : 12C isotopic ratio in methane (CH4) provides information about CH4 sources, but loss of CH4 by reaction with OH and chlorine (Cl) also affects this ratio. Tropospheric Cl provides a small and uncertain sink for CH4 but has a large effect on its isotopic ratio. We use the GEOS model with several different Cl fields to test the sensitivity of methane's isotopic composition to tropospheric Cl. Cl affects the global mean, hemispheric gradient, and seasonal cycle of the isotopic ratio.
Antoine Berchet, Isabelle Pison, Patrick M. Crill, Brett Thornton, Philippe Bousquet, Thibaud Thonat, Thomas Hocking, Joël Thanwerdas, Jean-Daniel Paris, and Marielle Saunois
Atmos. Chem. Phys., 20, 3987–3998, https://doi.org/10.5194/acp-20-3987-2020, https://doi.org/10.5194/acp-20-3987-2020, 2020
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Methane isotopes in the atmosphere can help us differentiate between emission processes. A large variety of natural and anthropogenic emission types are active in the Arctic and are unsatisfactorily understood and documented up to now. A ship-based campaign was carried out in summer 2014, providing a unique dataset of isotopic measurements in the Arctic Ocean. Using a chemistry-transport model, we link these measurements to circumpolar emissions and retrieve information about their signature.
Becky Alexander, Tomás Sherwen, Christopher D. Holmes, Jenny A. Fisher, Qianjie Chen, Mat J. Evans, and Prasad Kasibhatla
Atmos. Chem. Phys., 20, 3859–3877, https://doi.org/10.5194/acp-20-3859-2020, https://doi.org/10.5194/acp-20-3859-2020, 2020
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Nitrogen oxides are important for the formation of tropospheric oxidants and are removed from the atmosphere mainly through the formation of nitrate. We compare observations of the oxygen isotopes of nitrate with a global model to test our understanding of the chemistry nitrate formation. We use the model to quantify nitrate formation pathways in the atmosphere and identify key uncertainties and their relevance for the oxidation capacity of the atmosphere.
Xiahong Feng, Eric S. Posmentier, Leslie J. Sonder, and Naixin Fan
Atmos. Chem. Phys., 19, 4005–4024, https://doi.org/10.5194/acp-19-4005-2019, https://doi.org/10.5194/acp-19-4005-2019, 2019
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We present a 1-D model to simulate H2O isotopologues of vapor and their vertical fluxes in the first kilometer above the sea surface. The model includes two processes not in earlier Craig–Gordon isotope evaporation models: height-dependent diffusion/mixing and ascending/converging air. Calculated isotopic ratios compare well with data from seven cruises. The model explains how sea surface meteorology can affect atmospheric vapor, precipitation isotope ratios, and paleoisotope records.
Tommaso Galeazzo, Slimane Bekki, Erwan Martin, Joël Savarino, and Stephen R. Arnold
Atmos. Chem. Phys., 18, 17909–17931, https://doi.org/10.5194/acp-18-17909-2018, https://doi.org/10.5194/acp-18-17909-2018, 2018
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Volcanic sulfur can have climatic impacts for the planet via sulfate aerosol formation, leading also to pollution events. We provide model constraints on tropospheric volcanic sulfate formation, with implications for its lifetime and impacts on regional air quality. Oxygen isotope investigations from our model suggest that in the poor tropospheric plumes of halogens, the O2/TMI sulfur oxidation pathway might significantly control sulfate production. The produced sulfate has no isotopic anomaly.
Sergey Gromov, Carl A. M. Brenninkmeijer, and Patrick Jöckel
Atmos. Chem. Phys., 17, 8525–8552, https://doi.org/10.5194/acp-17-8525-2017, https://doi.org/10.5194/acp-17-8525-2017, 2017
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We revisit the proxies/uncertainties for the 13C/12C ratios of emissions of reactive C into the atmosphere. Our main findings are (i) a factor of 2 less uncertain estimate of tropospheric CO surface sources δ13C, (ii) a confirmed disagreement between the bottom-up and top-down 13CO-inclusive emission estimates, and (iii) a novel estimate of the δ13C signatures of a range of NMHCs/VOCs to be used in modelling studies. Results are based on the EMAC model emission set-up evaluated for 2000.
Nicola J. Warwick, Michelle L. Cain, Rebecca Fisher, James L. France, David Lowry, Sylvia E. Michel, Euan G. Nisbet, Bruce H. Vaughn, James W. C. White, and John A. Pyle
Atmos. Chem. Phys., 16, 14891–14908, https://doi.org/10.5194/acp-16-14891-2016, https://doi.org/10.5194/acp-16-14891-2016, 2016
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Methane is an important greenhouse gas. Methane emissions from Arctic wetlands are poorly quantified and may increase in a warming climate. Using a global atmospheric model and atmospheric observations of methane and its isotopologues, we find that isotopologue data are useful in constraining Arctic wetland emissions. Our results suggest that the seasonal cycle of these emissions may be incorrectly simulated in land process models, with implications for our understanding of future emissions.
J. Erbland, J. Savarino, S. Morin, J. L. France, M. M. Frey, and M. D. King
Atmos. Chem. Phys., 15, 12079–12113, https://doi.org/10.5194/acp-15-12079-2015, https://doi.org/10.5194/acp-15-12079-2015, 2015
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In this paper, we describe the development of a numerical model which aims at representing nitrate recycling at the air-snow interface on the East Antarctic Plateau. Stable isotopes are used as diagnostic and evaluation tools by comparing the model's results to recent field measurements of nitrate and key atmospheric species at Dome C, Antarctica. From sensitivity tests conducted with the model, we propose a framework for the interpretation of the nitrate isotope record in deep ice cores.
H. D. Graven and N. Gruber
Atmos. Chem. Phys., 11, 12339–12349, https://doi.org/10.5194/acp-11-12339-2011, https://doi.org/10.5194/acp-11-12339-2011, 2011
G. Pieterse, M. C. Krol, A. M. Batenburg, L. P. Steele, P. B. Krummel, R. L. Langenfelds, and T. Röckmann
Atmos. Chem. Phys., 11, 7001–7026, https://doi.org/10.5194/acp-11-7001-2011, https://doi.org/10.5194/acp-11-7001-2011, 2011
S. Morin, R. Sander, and J. Savarino
Atmos. Chem. Phys., 11, 3653–3671, https://doi.org/10.5194/acp-11-3653-2011, https://doi.org/10.5194/acp-11-3653-2011, 2011
E. D. Sofen, B. Alexander, and S. A. Kunasek
Atmos. Chem. Phys., 11, 3565–3578, https://doi.org/10.5194/acp-11-3565-2011, https://doi.org/10.5194/acp-11-3565-2011, 2011
B. Alexander, M. G. Hastings, D. J. Allman, J. Dachs, J. A. Thornton, and S. A. Kunasek
Atmos. Chem. Phys., 9, 5043–5056, https://doi.org/10.5194/acp-9-5043-2009, https://doi.org/10.5194/acp-9-5043-2009, 2009
Cited articles
Aronson, R. B., Precht, W. F., Macintyre, J. G., and Murdoch, T. J. T.: Coral bleach-out in Belize, Nature, 405, p. 36, https://doi.org/10.1038/35011132, 2000.
Berkelhammer, M., Stott, L., Yoshimura, K., Johnson, K., and Sinha, A.: Synoptic and mesoscale controls on the isotopic composition of precipitation in the western US, Clim. Dynam., 38, 433–454, 2012.
Brown, J., Simmonds, I., and Noone, D.: Modeling δ18O in tropical precipitation and the surface ocean for present-day climate, J. Geophys. Res., 111, D05105, https://doi.org/10.1029/2004JD005611, 2006.
Cai, W., Borlace, S., Lengaigne, M., Rensch, P., Collins, M., Vecchi, G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., England, M. H., Wang, G., Guilyardi, E., and Jin, F.-F.: Increasing frequency of extreme El Niño events due to greenhouse warming, Nat. Clim. Change, 4, 111–116, https://doi.org/10.1038/NCLIMATE2100, 2014.
Dai, A., Fung, I. Y., and Del Genio, A. D.: Surface observed global land precipitation variations during 1900–88, J. Climate, 10, 2943–2962, 1997.
Dansgaard, W.: Stable isotopes in precipitation, Tellus, 16, 436–468, 1964.
England, M. H., McGregor, S., Spence, P., Meehl, G. A., Timmermann, A., Cai, W., Gupta, A., McPhaden, M. J., Purich, A., and Santoso, A.: Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus, Nat. Clim. Change, 4, 222–227, 2014.
Frankenberg, C., Yoshimura, K., Warneke, T., Aben, I., Butz, A., Deutscher, N., Griffith, D., Hase, F., Notholt, J., Schneider, M., Schrijver, H., and Röckmann, T.: Dynamic processes governing lower-tropospheric HDO/H2O ratios as observed from space and ground, Science, 325, 1374–1377, 2009.
Folland, C. K., Palmer, T. N., and Parker, D. E.: Sahel rainfall and worldwide sea temperatures, 1901–85, Nature, 320, 602–607, 1986.
Giannini, A., Saravanan, R., and Chang, P.: Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales, Science, 302, 1027, https://doi.org/10.1126/science.1089357, 2003.
Huffman, G. J., Alder, R. F., Bolvin, D. T., and Gu, G.: Improving the global precipitation record: GPCP Version 2.1, Geophys. Res. Lett., 36, L17808, https://doi.org/10.1029/2009GL040000, 2009.
IAEA/WMO, Global Network of Isotopes in Precipitation, The GNIP Database, available at: http://www.iaea.org/water, last access: 8 May 2014.
Ishizaki, Y., Yoshimura, K., Kanae, S., Kimoto, M., Kurita, N., and Oki, T.: Interannual variability of H218O in precipitation over the Asian monsoon region, J. Geophys. Res., 117, D16308, https://doi.org/10.1029/2011JD015890, 2012.
Janicot, S., Moron, V., and Fontaine, B.: Sahel droughts and ENSO dynamics, Geophys. Res. Lett., 23, 515–518, 1996.
Janicot, S., Trzaska, S., and Poccard, I.: Summer Sahel-ENSO teleconnection and decadal time scale SST variations, Clim. Dynam., 18, 303–320, 2001.
Janicot, S., Thorncroft, C. D., Ali, A., Asencio, N., Berry, G., Bock, O., Bourles, B., Caniaux, G., Chauvin, F., Deme, A., Kergoat, L., Lafore, J.-P., Lavaysse, C., Lebel, T., Marticorena, B., Mounier, F., Nedelec, P., Redelsperger, J.-L., Ravegnani, F., Reeves, C. E., Roca, R., de Rosnay, P., Schlager, H., Sultan, B., Tomasini, M., Ulanovsky, A., and ACMAD forecasters team: Large-scale overview of the summer monsoon over West Africa during the AMMA field experiment in 2006, Ann. Geophys., 26, 2569–2595, https://doi.org/10.5194/angeo-26-2569-2008, 2008.
Joly, M. and Voldoire, A.: Role of Gulf of Guinea in the interannual variability of the West African monsoon: what do we learn from CMIP3 coupled simulations?, Int. J. Climatol., 30, 1843–1856, 2010.
Joly, M., Voldoire, A., Douville, H., Terray, P., and Royer, J.-F.: African monsoon teleconnections with tropical SSTs: validation and evolution in a set of IPCC4 simulations, Clim. Dynam., 29, 1–20, 2007.
Joussaume, S., Sadourny, R., and Jouzel, J.: A general circulation model of water isotope cycles in the atmosphere, Nature, 311, 24–29, 1984.
Kanamitsu, M., Ebisuzaki, W., Woolen, J., Potter, J., and Fiorino, M.: NCEP-DOE AMIP-II Reanalysis (R-2), B. Am. Meteorol. Soc., 83, 1631–1643, 2002.
Kosaka, Y. and Xie, S.-P.: Recent global-warming hiatus tied to equatorial Pacific surface cooling, Nat. Clim. Change, 501, 403–407, 2013.
Lai, C.-T., Ehleringer, J. R., Bond, B. J., and Paw U, K. T.: Contributions of evaporation, isotopic non-steady state transpiration and atmospheric mixing on the δ18O of water vapour in Pacific Northwest coniferous forests, Plant Cell Environ., 29, 77–94, 2006.
Lamb, P. J.: Large-scale tropical Atlantic surface circulation patterns associated with Subsaharan weather anomalies, Tellus, 30, 240–251, 1978.
Lee, J.-E., Risi, C., Fung, I., Worden, J., Scheepmaker, R. A., Linder, B., and Frankenberg, C.: Asian monsoon hydrometeorology from TES and SCIAMACHY water vapor isotope measurements and LMDZ simulations: Implications for speleothem climate record interpretation, J. Geophys. Res., 117, D15112, https://doi.org/10.1029/2011JD017133, 2012.
Lézine, A.-M. and Casanova, J.: Pollen and hydrological evidence for the interpretation of past climates in tropical West Africa during the Holocene, Quaternary Sci. Rev., 8, 45–55, 1989.
Liu, G., Kojima, K., Yoshimura, K., Okai, T., Suzuki, A., Oki, T., Siringan, F. P., Yoneda, M., and Kawahata, H.: A model-based test of accuracy of seawater oxygen isotope ratio record derived from a coral dual proxy method at southeastern Luzon Island, the Philippines, J. Geophys. Res.-Biogeo., 118, 853–859, 2013.
Liu, Z., Yoshimura, K., Bowen, G. J., Buenning, N. H., Risi, C., Welker, J. M., and Yuan, F.: Paired oxygen isotope records reveal modern North American atmospheric dynamics during the Holocene, Nature communications, 5, 3701, https://doi.org/10.1038/ncomms4701, 2014.
Losada, T., Rodiriguez-Fonseca, B., Mohino, E., Bader, J., Janicot, S., and Mechoso, C. R.: Tropical SST and Sahel rainfall: A non-stationary relationship, Geophys. Res. Lett., 39, L12705, https://doi.org/10.1029/2012GL052423, 2012.
Mohino, E., Janicot, S., and Bader, J.: Sahel rainfall and decadal to multi-decadal sea surface temperature variability, Clim. Dynam., 37, 419–440, 2011a.
Mohino, E., Rodriguez-Fonseca, B., Losada, T., Gervois, S., Janicot, S., Bader, J., Ruti, P., and Chauvin, F.: Changes in the interannual SST-forced signals on West African rainfall. AGCM intercomparison, Clim. Dynam., 37, 1707–1725, 2011b.
Moorthi, S. and Suarez, S. J.: Relaxed Arakawa-Schubert: A parameterization of moist convection for general circulation models, Mon. Weather Rev., 120, 978–1002, 1992.
Nicholson, S. E.: The West African Sahel: A review of recent studies on the rainfall regime and its interannual variability, ISRN Meteorology, 2013, 1–32, 2013.
Onogi, K., Tsusui, J., Koide, H., Sakamoto, M., Kobayashi, S., Hatsushika, H., Matsumoto, T., Yamazaki, N., Komahori, H., Takahashi, K., Kadokura, S., Wada, K., Kato, K., Oyama, R., Ose, T., Mannoji, N., and Taira, R.: The JRA-25 Reanalysis, J. Meteorol. Soc. JPN, 85, 369–432, 2007.
Palmer, T. N.: Influence of the Atlantic, Pacific and Indian Ocean on Sahel rainfall, Nature, 322, 251–253, 1986.
Philander, S. G. H.: Anomalous El Niño of 1982–1983, Nature, 305, p. 16, https://doi.org/10.1038/305016a0, 1983.
Polo, I., Rodriguez-Fonseca, B., Losada, T., and Garcia-Serrano, J.: Tropical Atlantic variability modes (1979–2002). Part I: Time-evolving SST modes related to West African rainfall, J. Climate, 21, 6457–6475, 2008.
Risi, C., Bony, S., and Vimeux, F.: Influence of convective processes on the isotopic composition (δ18O and δD) of precipitation and water vapor in the tropics: 2. Physical interpretation of the amount effect, J. Geophys. Res., 113, D19306, https://doi.org/10.1029/2008JD009943, 2008a.
Risi, C., Bony, S., Vimeux, F., Descroix, L., Ibrahim, B., Lebreton, E., Mamadou, I., and Sultan, B.: What controls the isotopic composition of the African monsoon precipitation? Insights from event-based precipitation collected during the 2006 AMMA field campaign, Geophys. Res. Lett., 35, L24808, https://doi.org/10.1029/2008GL035920, 2008b.
Risi, C., Bony, S., Vimeux, F., Frankenberg, C., Noone, D., and Worden, J.: Understanding the Sahelian water budget through the isotopic composition of water vapor and precipitation, J. Geophys. Res., 115, D24110, https://doi.org/10.1029/2010JD014690, 2010.
Risi, C., Noone, D., Frankenberg, C., and Worden, J.: Role of continental recycling in intraseasonal variations of continental moisture as deduced from model simulations and water vapor isotopic measurements, Water Resour. Res., 49, 4136–4156, 2013.
Rowell, D. P.: The impact of Mediterranean SSTs on the Sahelian rainfall season, J. Climate, 16, 849–862, 2003.
Scheepmaker, R. A., Frankenberg, C., Deutscher, N. M., Schneider, M., Barthlott, S., Blumenstock, T., Garcia, O. E., Hase, F., Jones, N., Mahieu, E., Notholt, J., Velazco, V., Landgraf, J., and Aben, I.: Validation of SCIAMACHY HDO/H2O measurements using the TCCON and NDACC-MUSICA networks, Atmos. Meas. Tech. Discuss., 7, 11799–11851, https://doi.org/10.5194/amtd-7-11799-2014, 2014.
Schmidt, G. A., LeGrande, A., and Hoffmann, G.: Water isotope expressions of intrinsic and forced variability in a coupled ocean-atmosphere model, J. Geophys. Res., 112, D10103, https://doi.org/10.1029/2006JD007781, 2007.
Shanahan, T. M., Overpeck, J. T., Anchukaitis, K. J., Beck, J. W., Cole, J. E., Dettman, D. L., Peck, J. A., Scholz, C. A., and King, J. W.: Atlantic forcing of persistent drought in West Africa, Science, 324, 377–380, 2009.
Tindall, J. C., Valdes, P. J., and Sime, L. C.: Stable water isotopes in HadCM3: Isotopic signature of El Niño-Southern Oscillation and tropical amount effect, J. Geophys. Res., 114, D04111, https://doi.org/10.1029/2008JD010825, 2009.
Tremoy, G., Vimeux, F., Mayaki, S., Souley, I., Cattani, O., Risi, C., Favreau, G., and Oï, M.: A 1-year long δ18O record of water vapor in Niamey (Niger) reveals insightful atmospheric processes at different timescales, Geophys. Res. Lett., 39, L08805, https://doi.org/10.1029/2012GL051298, 2012.
Tremoy, G., Vimeux, F., Soumana, S., Souley, I., Risi, C., Favreau, G., and Oï, M.: Clustering mesoscale convective systems with laser-based water vapor δ18O monitoring in Niamey (Niger), J. Geophys. Res., 119, 5079–5013, https://doi.org/10.1002/2013JD020968, 2014.
Vuille, M. and Werner, M.: Stable isotopes in precipitation recording South American summer monsoon and ENSO variability: observations and model results, Clim. Dynam., 25, 401–413, 2005.
Ward, N.: Diagnosis and short-lead time prediction of summer rainfall in tropical North Africa at interannual and multidecadal timescales, J. Climate, 11, 3167–3191, 1998.
Werner, M., Langebroek, P. M., Carlsen, T., Herold, M., and Lohmann, G.: Stable water isotopes in the ECHAM5 general circulation model: Toward high-resolution isotope modeling on a global scale, J. Geophys. Res., 116, D15109, https://doi.org/10.1029/2011JD015681, 2011.
Worden J., Noone, D., and Bowmann, K.: Importance of rain evaporation and continental convection in the tropical water cycle, Nature, 445, 528–532, 2007.
Yoshimura, K., Kanamitsu, M., Noone, D., and Oki, T.: Historical isotope simulation using Reanalysis atmospheric data, J. Geophys. Res., 113, D19108, https://doi.org/10.1029/2008JD010074, 2008.
Yoshimura, K., Frankenberg, C., Lee, J., Kanamitsu, M., Worden, J., and Röckmann, T.: Comparison of an isotopic atmospheric general circulation model with new quasi-global satellite measurements of water vapor isotopologues, J. Geophys. Res., 116, D19118, https://doi.org/10.1029/2011JD016035, 2011.
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