J
Jinlong Huang
Researcher at Nanjing University of Information Science and Technology
Publications - 42
Citations - 1656
Jinlong Huang is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Climate change & Environmental science. The author has an hindex of 15, co-authored 27 publications receiving 780 citations. Previous affiliations of Jinlong Huang include Nanjing University & Chinese Academy of Sciences.
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Journal ArticleDOI
Drought losses in China might double between the 1.5 °C and 2.0 °C warming.
Buda Su,Jinlong Huang,Thomas Fischer,Yanjun Wang,Zbigniew W. Kundzewicz,Jianqing Zhai,Jianqing Zhai,Hemin Sun,Anqian Wang,Xiaofan Zeng,Guojie Wang,Hui Tao,Marco Gemmer,Xiucang Li,Xiucang Li,Tong Jiang +15 more
TL;DR: To assess future drought losses, the regional gross domestic product under shared socioeconomic pathways instead of using a static socioeconomic scenario is predicted and increasing precipitation and evapotranspiration patterns are identified for the 1.5 °C and 2.0 °C global warming above the preindustrial at 2020–2039 and 2040–2059, respectively.
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Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia
Jianqing Zhai,Sanjit Kumar Mondal,Thomas Fischer,Yanjun Wang,Buda Su,Jinlong Huang,Hui Tao,Guojie Wang,Waheed Ullah,Md. Jalal Uddin +9 more
TL;DR: In this paper, a five-model ensemble mean from CMIP6 was chosen to project drought characteristics in South Asia under the latest SSPs-RCPs emission scenarios (SSP1-26, SSP2-45, and SSP5-85) for the period 2020-2099.
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Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China
Buda Su,Buda Su,Buda Su,Jinlong Huang,Sanjit Kumar Mondal,Jianqing Zhai,Jianqing Zhai,Yanjun Wang,Shanshan Wen,Miaoni Gao,Yanran Lv,Shan Jiang,Tong Jiang,Aiwei Li +13 more
TL;DR: In this paper, future drought characteristics over China are analyzed by using four climate models from CMIP6 under the seven SSP-RCP (shared socioeconomic pathway-representative concentration pathway) scenarios (SSP119, SSP126,SSP434, SSA245, SSSP460, SSE370, and SSP585) for three defined periods of 2021-2040 (near-term), 2041-2060 (mid-term) and 2081-2100 (long-term).
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Flood risk and its reduction in China
Zbigniew W. Kundzewicz,Zbigniew W. Kundzewicz,Zbigniew W. Kundzewicz,Buda Su,Buda Su,Yanjun Wang,Jun Xia,Jinlong Huang,Tong Jiang,Tong Jiang +9 more
TL;DR: Wang et al. as mentioned in this paper reviewed published results (including their own works) on change detection in observed records of intense precipitation, high river flow and flood damage in China and provided information on essential features of extreme floods in last decades.
Journal ArticleDOI
Statistical downscaling of CMIP5 multi-model ensemble for projected changes of climate in the Indus River Basin
Buda Su,Buda Su,Buda Su,Jinlong Huang,Marco Gemmer,Dongnan Jian,Hui Tao,Tong Jiang,Tong Jiang,Chengyi Zhao +9 more
TL;DR: In this article, the simulation results of CMIP5 (Coupled Model Intercomparison Project phase 5) multi-model ensemble in the Indus River Basin (IRB) are compared with the CRU (Climatic Research Unit) and APHRODITE (Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation) datasets.