DOWNSCALING

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相关机构：中国气象局成都高原气象研究所云南大学中国科学院大气物理研究所南京大学更多>>
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Unsupervised Meteorological Downscaling Based on Dual Learning and Subgrid-scale Auxiliary Information
《Advances in Atmospheric Sciences》2025年第1期53-66,共14页Jing HU Jialing MU Xiaomeng HUANG Xi WU 
supported by the following funding bodies:the National Key Research and Development Program of China(Grant No.2020YFA0608000);National Science Foundation of China(Grant Nos.42075142,42375148,42125503;42130608);FY-APP-2022.0609,Sichuan Province Key Tech nology Research and Development project(Grant Nos.2024ZHCG0168,2024ZHCG0176,2023YFG0305,2023YFG-0124,and 23ZDYF0091);the CUIT Science and Technology Innovation Capacity Enhancement Program project(Grant No.KYQN202305)。
Climate downscaling is used to transform large-scale meteorological data into small-scale data with enhanced detail,which finds wide applications in climate modeling,numerical weather forecasting,and renewable energy....
关键词：DOWNSCALING UNSUPERVISED deep learning dual learning auxiliary information 
Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
《Journal of Social Computing》2024年第4期329-343,共15页Narmadha M.Mohankumar Milan Jain Heng Wan Sumitrra Ganguli Kyle D.Wilson David M.Anderson 
supported by the Agile Initiative,a multi-disciplinary Pacific Northwest National Laboratory(PNNL)initiative.PNNL is operated by Battelle Memorial Institute under Contract DE-AC06-76RL01830.
The Council on Environmental Quality’s Climate and Economic Justice Screening Tool defines“disadvantaged communities”(DAC)in the USA,highlighting census tracts where benefits of climate and energy investments are n...
关键词：disadvantaged communities Justice40 principal component generalized linear model socio-economic challenges spatial downscaling temporal trend 
Assessment of Seasonal Rainfall Prediction in Ethiopia: Evaluating a Dynamic Recurrent Neural Network to Downscale ECMWF-SEAS5 Rainfall
《Advances in Atmospheric Sciences》2024年第11期2230-2244,共15页Abebe KEBEDE Kirsten WARRACH-SAGI Thomas SCHWITALLA Volker WULFMEYER Tesfaye ABEBE Markos WARE 
the funding provided by the “German–Ethiopian SDG Graduate School: Climate Change Effects on Food Security (CLIFOOD)”, established by the Food Security Center of the University of Hohenheim (Germany) and Hawassa University (Ethiopia);provided by the German Academic Exchange Service (DAAD) through funds from the Federal Ministry for Economic Cooperation and Development (BMZ)。
Seasonal rainfall plays a vital role in both environmental dynamics and decision-making for rainfed agriculture in Ethiopia, a country often impacted by extreme climate events such as drought and flooding. Predicting ...
关键词：STATION PREDICTION DOWNSCALING artificial neural networks RAINFALL 
A systematic review of spatial disaggregation methods for climate action planning
《Energy and AI》2024年第3期458-469,共12页Shruthi Patil Noah Pflugradt Jann M.Weinand Detlef Stolten Jürgen Kropp 
funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.101036458.
National-level climate action plans are often formulated broadly. Spatially disaggregating these plans to individual municipalities can offer substantial benefits, such as enabling regional climate action strategies a...
关键词：Spatial downscaling Proxy data Mass-preserving Climate action plans Spatial autocorrelation Machine learning Geostatistical models 
Prediction of the potential distribution and analysis of the freezing injury risk of winter wheat on the Loess Plateau under climate change被引量：1
《Journal of Integrative Agriculture》2024年第9期2941-2954,共14页Qing Liang Xujing Yang Yuheng Huang Zhenwei Yang Meichen Feng Mingxing Qing Chao Wang Wude Yang Zhigang Wang Meijun Zhang Lujie Xiao Xiaoyan Song 
supported by the National Natural Science Foundation of China(31201168);the Basic Research Program of Shanxi Province,China(20210302123411);the earmarked fund for Modern Agro-industry Technology Research System,China(2022-07).
Determining the suitable areas for winter wheat under climate change and assessing the risk of freezing injury are crucial for the cultivation of winter wheat.We used an optimized Maximum Entropy(MaxEnt)Model to predi...
关键词：climate change scenarios winter wheat freezing injury risk DOWNSCALING MAXENT 
An AI‑Based Method for Estimating the Potential Runout Distance of Post‑Seismic Debris Flows
《International Journal of Disaster Risk Science》2024年第4期608-621,共14页Chenchen Qiu Lijun Su Congchao Bian Bo Zhao Xueyu Geng 
supported by the European Union’s Horizon 2020 research and innovation program Marie Skłodowska-Curie Actions Research and Innovation Staf Exchange(RISE)(Grant No.778360);the National Natural Science Foundation of China(Grant No.U22A20603);the Science and Technology Development Fund(Grant No.001/2024/SKL);the State Key Laboratory of Internet of Things for Smart City(University of Macao)(Ref.No.SKL-IoTSC(UM)-2024-2026/ORP/GA09/2023).
The widely distributed sediments following an earthquake presents a continuous threat to local residential areas and infrastructure. These materials become more easily mobilized due to reduced rainfall thresholds. Bef...
关键词：Deep learning GPM downscaling Post-seismic debris fows Runout distance prediction 2022 Luding earthquake 
Projecting Spring Consecutive Rainfall Events in the Three Gorges Reservoir Based on Triple-Nested Dynamical Downscaling被引量：3
《Advances in Atmospheric Sciences》2024年第8期1539-1558,共20页Yanxin ZHENG Shuanglin LI Noel KEENLYSIDE Shengping HE Lingling SUO 
funding from the NFR COMBINED (Grant No.328935);The BCPU hosted YZ visit to University of Bergen (Trond Mohn Foundation Grant No.BFS2018TMT01);supported by the National Key Research and Development Program of China (Grant No.2023YFA0805101);the National Natural Science Foundation of China (Grant Nos.42376250 and 41731177);a China Scholarship Council fellowship and the UTFORSK Partnership Program (CONNECTED UTF-2016-long-term/10030)。
Spring consecutive rainfall events(CREs) are key triggers of geological hazards in the Three Gorges Reservoir area(TGR), China. However, previous projections of CREs based on the direct outputs of global climate model...
关键词：triple-nested downscaling Three Gorges Reservoir area consecutive rainfall events geological hazards PROJECTION 
Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics
《Advances in Atmospheric Sciences》2024年第5期767-776,共10页Guo DENG Xueshun SHEN Jun DU Jiandong GONG Hua TONG Liantang DENG Zhifang XU Jing CHEN Jian SUN Yong WANG Jiangkai HU Jianjie WANG Mingxuan CHEN Huiling YUAN Yutao ZHANG Hongqi LI Yuanzhe WANG Li GAO Li SHENG Da LI Li LI Hao WANG Ying ZHAO Yinglin LI Zhili LIU Wenhua GUO 
This work was jointly supported by the National Natural Science Foundation of China(Grant Nos.41975137,42175012,and 41475097);the National Key Research and Development Program(Grant No.2018YFF0300103).
Since the Beijing 2022 Winter Olympics was the first Winter Olympics in history held in continental winter monsoon climate conditions across complex terrain areas,there is a deficiency of relevant research,operational...
关键词：Beijing Winter Olympic Games CMA national forecasting system data assimilation ensemble forecast bias correction and downscaling machine learning-based fusion methods 
Carbon efficiency evaluation method for urban energy system with multiple energy complementary
《Global Energy Interconnection》2024年第2期142-154,共13页Xianan Jiao Jiekang Wu Yunshou Mao Mengxuan Yan 
supported by the National Natural Science Foundation of China under Grant 51567002 and Grant 50767001.
Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade utilization.In the context of the construction and operation strategy of UESs with multiple compleme...
关键词：Urban energy systems(UESs) Multiple energy complementary system Carbon efficiency evaluation Data downscaling Subjective and objective weight Gray correlation analysis 
Understanding and improving Yangtze River Basin summer precipitation prediction using an optimal multi-Physics ensemble
《Frontiers of Earth Science》2024年第1期256-277,共22页Yang ZHAO Fengxue QIAO Xin-Zhong LIANG Jinhua YU 
funded by the US National Science Foundation Innovations at the Nexus of Food,Energy and Water Systems(US-China INFEWS)under Grant EAR1903249;the China Meteorological Administration/National Climate Center research subcontract 2211011816501;the the Shanghai 2021“Scientific and technological innovation action plan”Natural Science Foundation(Grant No.21ZR1420400).
This study employs the regional Climate-Weather Research and Forecasting model(CWRF)to first investigate the primary physical mechanisms causing biases in simulating summer precipitation over the Yangtze River Basin(Y...
关键词：physics parameterization regional climate model downscaling skill enhancement multi-physics ensemble TELECONNECTION bias reduction 
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