Deviation Distribution Features of CMA-GFS Cloud Prediction

Clouds play a vital role in weather,climate system and the atmospheric water cycle.The diagnosis and evaluation of numerical model prediction results is important for numerical model research and development.Reasonable diagnosis and evaluation methods can not only provide references for model resear...

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Published inYing yong qi xiang xue bao = Quarterly journal of applied meteorology Vol. 33; no. 5; p. 527
Main Authors Li, Zhe, Chen, Jiong, Ma, Zhanshan, Lu, Huijuan, Hu, Jiangkai, Liu, Qijun
Format Journal Article
LanguageChinese
Published Beijing China Meteorological Press 01.01.2022
Subjects
Atmospheric water
Bias
Climate system
Cloud amount
Clouds
Deviation
Diagnosis
Distribution
Hydrologic cycle
Hydrological cycle
Hydrometeors
Hydrometers
Integration
Low clouds
Mathematical models
Mean square errors
Methods
Modelling
Numerical models
Numerical prediction
Parameterization
Predictions
R&D
Regions
Relative humidity
Research & development
Root-mean-square errors
Seasons
Tropical environment
Tropical environments
Water cycle
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Summary:Clouds play a vital role in weather,climate system and the atmospheric water cycle.The diagnosis and evaluation of numerical model prediction results is important for numerical model research and development.Reasonable diagnosis and evaluation methods can not only provide references for model researchers to optimize model schemes,but also help users understand the performance of model prediction.The cloud characteristics of different regions and seasons should be considered for evaluation because the attributes in different regions are markedly different.The performance and deviation characteristics of the operational CMA-GFS of four seasons are evaluated,based on the reanalysis of ERA5 reanalysis data from March 2021 to February 2022.The frequency bias of cloud occurrence,cloud fraction,integrated cloud hydrometeors from various levels,and the bias and root mean square error of those variables are carefully diagnosed and evaluated via different methods.The deviation characteristics of cloud are emphatically
ISSN:1001-7313