Articles | Volume 26, issue 8
https://doi.org/10.5194/acp-26-5861-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-5861-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2026
Research article |
| 30 Apr 2026
| 30 Apr 2026
A dipole pattern of orbital-scale precipitation oxygen isotope variation in North African monsoon region and the driving mechanism
Chengwei Ji
State Key Laboratory of Climate System Prediction and Risk Management, Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
School of Geography, Nanjing Normal University, Nanjing, 210023, China
State Key Laboratory of Climate System Prediction and Risk Management, Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
School of Geography, Nanjing Normal University, Nanjing, 210023, China
Zhengyu Liu
Department of Geography, Ohio State University, Columbus, OH 43210, USA
State Key Laboratory of Climate System Prediction and Risk Management, Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
School of Geography, Nanjing Normal University, Nanjing, 210023, China
Jiangsu Provincial Key Laboratory for Numerical Simulation of Large-Scale Complex Systems, School of Mathematical Science, Nanjing Normal University, Nanjing, 210023, China
Deliang Chen
Department of Earth System Science, Tsinghua University, Beijing, 100084, China
Liang Ning
State Key Laboratory of Climate System Prediction and Risk Management, Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
School of Geography, Nanjing Normal University, Nanjing, 210023, China
State Key Laboratory of Climate System Prediction and Risk Management, Key Laboratory for Virtual Geographic Environment of Ministry of Education, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
School of Geography, Nanjing Normal University, Nanjing, 210023, China
Qiuzhen Yin
Earth and Climate Research Center, Earth and Life Institute, Université catholique de Louvain, 1348, Louvain-la-Neuve, Belgium
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Clim. Past, 22, 879–889, https://doi.org/10.5194/cp-22-879-2026, https://doi.org/10.5194/cp-22-879-2026, 2026
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This study examines how the warm Miocene (~23–5 Ma) climate responded to orbital changes compared with modern day. Simulations show weaker Miocene temperature responses with distinct spatial patterns. High latitudes were less sensitive due to weaker albedo feedback, while tropical Africa cooled more strongly from an enhanced water cycle. The Southern Ocean warmed under low insolation as winter sea ice shrank. These findings highlight how background climate states shape orbital climate responses.
Héloïse Guilluy, Émilie Capron, Frédéric Parrenin, Vladimir Lipenkov, Jochen Schmitt, Patricia Martinerie, Zhipeng Wu, Qiuzhen Yin, Anna Maria Klüssendorf, Amaëlle Landais, Barbara Seth, Hubertus Fischer, and Dominique Raynaud
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Near-surface wind speed affects air quality, water cycles, and wind energy, but its future changes in South Asia remain uncertain. This study explores how internal climate variability, particularly the Interdecadal Pacific Oscillation, affects wind speed trends in the region. Using advanced climate simulations, we show that accounting for this variability reduces uncertainty in future projections. Our findings could improve climate adaptation strategies and wind energy planning.
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Peter U. Clark, Jeremy D. Shakun, Yair Rosenthal, Chenyu Zhu, Patrick J. Bartlein, Jonathan M. Gregory, Peter Köhler, Zhengyu Liu, and Daniel P. Schrag
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We reconstruct changes in mean ocean temperature (ΔMOT) over the last 4.5 Myr. We find that the ratio of ΔMOT to changes in global mean sea surface temperature was around 0.5 before the Middle Pleistocene transition but was 1 thereafter. We subtract our ΔMOT reconstruction from the global δ18O record to derive the δ18O of seawater. Finally, we develop a theoretical understanding of why the ratio of ΔMOT / ΔGMSST changed over the Plio-Pleistocene.
Dulce Oliveira, Stéphanie Desprat, Qiuzhen Yin, Coralie Zorzi, Zhipeng Wu, Krishnamurthy Anupama, Srinivasan Prasad, Montserrat Alonso-García, and Philippe Martinez
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Hydrol. Earth Syst. Sci., 28, 4361–4381, https://doi.org/10.5194/hess-28-4361-2024, https://doi.org/10.5194/hess-28-4361-2024, 2024
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John Erik Engström, Lennart Wern, Sverker Hellström, Erik Kjellström, Chunlüe Zhou, Deliang Chen, and Cesar Azorin-Molina
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Newly digitized wind speed observations provide data from the time period from around 1920 to the present, enveloping one full century of wind measurements. The results of this work enable the investigation of the historical variability and trends in surface wind speed in Sweden for
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Hongyue Zhang, Jesper Sjolte, Zhengyao Lu, Jian Liu, Weiyi Sun, and Lingfeng Wan
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He Sun, Tandong Yao, Fengge Su, Wei Yang, Guifeng Huang, and Deliang Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-16, https://doi.org/10.5194/hess-2023-16, 2023
Manuscript not accepted for further review
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Hydrol. Earth Syst. Sci., 26, 4657–4683, https://doi.org/10.5194/hess-26-4657-2022, https://doi.org/10.5194/hess-26-4657-2022, 2022
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This study endorses RCMs' added value on the driving GCMs in representing observed heat wave magnitudes. The future increase of heat wave magnitudes projected by GCMs is attenuated when downscaled by RCMs. Within the downscaling, uncertainties can be attributed almost equally to choice of RCMs and to the driving data associated with different GCMs. Uncertainties of GCMs in simulating heat wave magnitudes are transformed by RCMs in a complex manner rather than simply inherited.
Chunlüe Zhou, Cesar Azorin-Molina, Erik Engström, Lorenzo Minola, Lennart Wern, Sverker Hellström, Jessika Lönn, and Deliang Chen
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To fill the key gap of short availability and inhomogeneity of wind speed (WS) in Sweden, we rescued the early paper records of WS since 1925 and built the first 10-member centennial homogenized WS dataset (HomogWS-se) for community use. An initial WS stilling and recovery before the 1990s was observed, and a strong link with North Atlantic Oscillation was found. HomogWS-se improves our knowledge of uncertainty and causes of historical WS changes.
Xiangde Xu, Chan Sun, Deliang Chen, Tianliang Zhao, Jianjun Xu, Shengjun Zhang, Juan Li, Bin Chen, Yang Zhao, Hongxiong Xu, Lili Dong, Xiaoyun Sun, and Yan Zhu
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A vertical transport window of tropospheric vapor exists on the Tibetan Plateau (TP). The TP's thermal forcing drives the vertical transport
windowof vapor in the troposphere. The effects of the TP's vertical transport window of vapor are of importance in global climate change.
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Short summary
Geologist commonly use speleothem δ18Oc records to reconstruct past North African monsoon variability based on “amount effect” relationship between δ18Oc and monsoon rainfall. However, the interpretation of these records has been challenged in recent years. Here, we use isotope-enabled climate model to simulate climate change during the past 150,000 years. We find that changes in δ18Op across North African region are caused by multiple atmospheric processes, rather than by “amount effect”.
Geologist commonly use speleothem δ18Oc records to reconstruct past North African monsoon...
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