文章基本信息

标题：Validation of Surface Temperature Derived From MERRA‐2 Reanalysis Against IMD Gridded Data Set Over India
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作者：Priyanshu Gupta ; Sunita Verma ; R. Bhatla 等
期刊名称：Earth and Space Science
电子版ISSN：2333-5084
出版年度：2020
卷号：7
期号：1
页码：1-13
DOI：10.1029/2019EA000910
出版社：John Wiley & Sons, Ltd.
摘要：The first detailed validation of maximum temperature of Modern‐Era Retrospective analysis for Research and Application Version 2 ( T MERRA‐2 ) against Indian Meteorological Department ( T IMD ) has been carried out for 35 years (1981–2015) over India. For this purpose, India has been divided into seven different zones, i.e Western Himalaya (WH), Northwest, North Central, Northeast (NE), West Peninsula India, East Peninsula India, and South Peninsula India. The descriptive statistics and correlation between T MERRA‐2 and T IMD have been determined for monthly, seasonal, and annual basis. A significant correlation (>0.9) has been found for monthly T MERRA‐2 and T IMD with a root‐mean‐square error value closer to 1 except for WH where a high root‐mean‐square error value of 18.2 is obtained. Seasonal analysis also indicates a significant correlation for all the zones except for WH and NE with a correlation value of <0.3 during monsoon season; this may be due to sparse network, cold climate, and heterogeneity due to topography. Percent bias indicates that T MERRA‐2 generally overestimates the T IMD monthly observations for all the zones, that is, Northwest, North Central, NE, West Peninsula India, East Peninsula India, and South Peninsula India by 4.1%, 2.4%, 1.6%, 0.5%, 0.2%, and 0.8%, respectively, except WH where an underestimation (−82.5%) is determined. Thus, after calibration, MERRA‐2 Reanalysis maximum temperature may be used for further study of extreme weather events.
关键词：MERRA‐2;validation;RMSE;PBIAS