Meteorological Forcing Datasets for Blowing Snow Modeling on the Tibetan Plateau: Evaluation and Intercomparison

Meteorological Forcing Datasets for Blowing Snow Modeling on the Tibetan Plateau: Evaluation and Intercomparison
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青藏高原吹雪模拟气象强迫数据集:评估与比对

DOI:
10.1175/jhm-d-17-0075.1
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发表时间:
2017
影响因子:
3.8
通讯作者:
Yan Xiaoqiang
Yan Xiaoqiang
中科院分区:
地球科学2区
文献类型:
--
作者:
Xie Zhipeng;Hu Zeyong;Gu Lianglei;Sun Genhou;Du Yizhen;Yan Xiaoqiang

文献摘要

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本文分析了中国气象局陆地资料同化系统(CLDAS-2)、中国气象强迫数据集(CMFD)、中国气象局陆地资料同化系统(CLDAS-2)、中国气象局陆地资料同化系统(CMFD)、中国气象局陆地资料同化系统(CLDAS-2)、中国陆地资料同化系统(CMFD)2008年至2014年,对青藏高原(TP)地区的研究和应用现代回顾性分析,第2版(MERRA-2)进行了调查。与中国气象局(CMA)的观测资料相比,CLDAS-2的风速相关系数最高,CMFD的温度和比湿相关系数最高,MERRA-2的气压相关系数最高。基于偏差,CLDAS-2在温度、比湿度和压力方面表现出最佳的整体性能,而CMFD在风速方面表现出最佳的性能。基于MERRA-2的降水预报总体准确率和虚警率高,源于其连续超警能力。
AbstractIn this paper, the reliability of the wind speed, temperature, humidity, pressure, and precipitation values of three surface meteorological forcing products [China Meteorological Administration Land Data Assimilation System, version 2 (CLDAS-2); China Meteorological Forcing Dataset (CMFD); and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2)] in the Tibetan Plateau (TP) region was investigated from 2008 to 2014. Compared with the China Meteorological Administration (CMA) observations, CLDAS-2 exhibited the highest correlation coefficient for wind speed, CMFD displayed the best coefficients for temperature and specific humidity, and MERRA-2 best reflected pressure variations. Based on the biases, CLDAS-2 exhibited the best overall performance for temperature, specific humidity, and pressure, while CMFD displayed the best performance for wind speed. The high overall accuracy and false alarm ratio of precipitation based on MERRA-2 both stem from its continuous over...