气候变化领域集成服务门户(CCPortal): Evaluation of MERRA-2 Precipitation Products Using Gauge Observation in Nepal

CCPortal

DOI	10.3390/hydrology7030040
	Evaluation of MERRA-2 Precipitation Products Using Gauge Observation in Nepal
	Hamal, Kalpana; Sharma, Shankar; Khadka, Nitesh; Baniya, Binod; Ali, Munawar; Shrestha, Mandira Singh; Xu, Tianli; Shrestha, Dibas; Dawadi, Binod
通讯作者	Shrestha, D ; Dawadi, B (通讯作者)
发表日期	2020
EISSN	2306-5338
卷号	7 期号:3
英文摘要	Precipitation is the most important variable in the climate system and the dominant driver of land surface hydrologic conditions. Rain gauge measurement provides precipitation estimates on the ground surface; however, these measurements are sparse, especially in the high-elevation areas of Nepal. Reanalysis datasets are the potential alternative for precipitation measurement, although it must be evaluated and validated before use. This study evaluates the performance of second-generation Modern-ERA Retrospective analysis for Research and Applications (MERRA-2) datasets with the 141-gauge observations from Nepal between 2000 and 2018 on monthly, seasonal, and annual timescales. Different statistical measures based on the Correlation Coefficient (R), Mean Bias (MB), Root-Mean-Square Error (RMSE), and Nash-Sutcliffe efficiency (NSE) were adopted to determine the performance of both MERRA-2 datasets. The results revealed that gauge calibrated (MERRA-C) underestimated, whereas model-only (MERRA-NC) overestimated the observed seasonal cycle of precipitation. However, both datasets were able to reproduce seasonal precipitation cycle with a high correlation (R >= 0.95), as revealed by observation. MERRA-C datasets showed a more consistent spatial performance (higher R-value) to the observed datasets than MERRA-NC, while MERRA-NC is more reasonable to estimate precipitation amount (lower MB) across the country. Both MERRA-2 datasets performed better in winter, post-monsoon, and pre-monsoon than in summer monsoon. Moreover, MERRA-NC overestimated the observed precipitation in mid and high-elevation areas, whereas MERRA-C severely underestimated at most of the stations throughout all seasons. Among both datasets, MERRA-C was only able to reproduce the observed elevation dependency pattern. Furthermore, uncertainties in MERRA-2 precipitation products mentioned above are still worthy of attention by data developers and users.
关键词	GLOBAL PRECIPITATION EXTREME PRECIPITATION DATA SETS SATELLITE REANALYSES RAINFALL DATASETS TRMM VARIABILITY VALIDATION
英文关键词	MERRA-2; Nepal; precipitation; rain-gauge; reanalysis datasets
语种	英语
WOS研究方向	Water Resources
WOS类目	Water Resources
WOS记录号	WOS:000580267500001
来源期刊	HYDROLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259943
推荐引用方式 GB/T 7714	Hamal, Kalpana,Sharma, Shankar,Khadka, Nitesh,et al. Evaluation of MERRA-2 Precipitation Products Using Gauge Observation in Nepal[J]. 中国科学院青藏高原研究所,2020,7(3).
APA	Hamal, Kalpana.,Sharma, Shankar.,Khadka, Nitesh.,Baniya, Binod.,Ali, Munawar.,...&Dawadi, Binod.(2020).Evaluation of MERRA-2 Precipitation Products Using Gauge Observation in Nepal.HYDROLOGY,7(3).
MLA	Hamal, Kalpana,et al."Evaluation of MERRA-2 Precipitation Products Using Gauge Observation in Nepal".HYDROLOGY 7.3(2020).