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Li-Jun FAN，Zhong-Wei YAN，Deliang CHEN，Zhen LI（Key Laboratory of Regional Climate-Environment for Temperate East Asia；College of Earth and Planetary Sciences；Regional Climate Group）.Assessment of total and extreme precipitation over central Asia via statistical downscaling：Added value and multi-model ensemble projection[J].气候变化研究进展(英文版),2023,第1期
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Ping WU，Yan-Ju LIU，Jing WANG，Yi-Hui DING（National Climate Center；Tianjin Key Laboratory for Oceanic Meteorology）.Revisiting the variations of precipitation and water vapour budget over the Tibetan Plateau[J].气候变化研究进展(英文版),2023,第1期
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Xing-Chen ZHAO，Xue-Ying XIANG，Shu-Cheng WANG，Peng-Nan JIANG，Ding GAO，Li-Ying YI，Min-De AN，Fu-Li BAI，Wei-Guang XU，Jian-Jun ZHANG，Jian-Xin HU（College of Environmental Sciences and Engineering；State Key Laboratory of Fluorinated Greenhouse Gases Replacement and Control Treatment）.By-production,emissions and abatement costeclimate benefit of HFC-23 in China's HCFC-22 plants[J].气候变化研究进展(英文版),2023,第1期
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Ewa B.ŁUPIKASZA，Łukasz MAŁARZEWSKI（Faculty of Natural Sciences）.Trends in the indices of precipitation phases under current warming in Poland,1966e2020[J].气候变化研究进展(英文版),2023,第1期
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Xun-Zhang PAN，Fei TENG，Yann ROBIOU DU PONT，Hai-Lin WANG（School of Economics and Management；Institute of Energy；Institute for Sustainable Development and International Relations；Institute of Nuclear and New Energy Technology）.Understanding equityeefficiency interaction in the distribution of global carbon budgets[J].气候变化研究进展(英文版),2023,第1期
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Jia-Hui TANG，Xiang-De XU，Wen-Yue CAI，Chun-Zhu WANG（Nanjing University of Information Science&Technology；State Key Laboratory of Severe Weather；National Climate Center；Training Center）.Water vapour multi-vortex structure under the interactions of typhoons and mid-low latitude systems during extreme precipitation in North China[J].气候变化研究进展(英文版),2023,第1期
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Chong-Yuan WU，Xiao-Ye ZHANG，Li-Feng GUO，Jun-Ting ZHONG，De-Ying WANG，Chang-Hong MIAO，Xiang GAO，Xi-Liang ZHANG（Monitoring and Assessment Center for GHGs and Carbon&Key Laboratory of Atmospheric Chemistry of China Meteorological Administration；Zhejiang Institute of Meteorological Science；Laboratory of Climate Change Mitigation and Carbon Neutrality；State Key Laboratory of Clean Energy Utilization；Institute of Energy）.An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019[J].气候变化研究进展(英文版),2023,第1期
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