CCPortal
DOI10.1029/2020EA001315
How Accurately Can Satellite Products (TMPA and IMERG) Detect Precipitation Patterns, Extremities, and Drought Across the Nepalese Himalaya?
Sharma, Shankar; Khadka, Nitesh; Hamal, Kalpana; Shrestha, Dibas; Talchabhadel, Rocky; Chen, Yingying
通讯作者Sharma, S (通讯作者)
发表日期2020
EISSN2333-5084
卷号7期号:8
英文摘要This study aims to assess the accuracy of two satellite-based precipitation products (SBPPs), that is, Tropical Rainfall Measurement Mission (TRMM)-based Multi-satellite Precipitation Analysis (TMPA) and its upgraded version Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG), in capturing spatial and temporal variation of precipitation and their application for extreme events (high-intensity precipitation and drought). They were evaluated against 142-gauge stations from Nepal during 2001-2018. The results show that, in general, both SBPPs show the overall characteristics of precipitation patterns, although underestimated the mean annual precipitation during the study period. It was also noted that IMERG product yields better performance to detect precipitation events (probability of detection) and no-precipitation events (false alarm ratio) than TMPA. Based on four different extreme precipitation indices: heavy precipitation events (R10mm), extreme precipitation events (R25mm), five consecutive dry days (CDD), and five consecutive wet days (CWD), it was observed that the SBPPs underestimated the frequency of R25mm and CDD spells while overestimated R10mm and CWD spells. Additionally, both SBPPs exhibited considerable capabilities in capturing the drought events during the study period. Overall, the drought event, bias, and frequency show that the IMERG product has slightly better capabilities to capture drought than the TMPA product. In general, IMERG was found to be superior at a daily timescale, while TMPA shows consistent performance on a monthly scale during the study period. Furthermore, there is still space for further improvement of IMERG rainfall retrieval algorithms.
关键词GPM-IMERGRAINFALL PRODUCTSGAUGE DATATRMM 3B42DATA SETSREGIONVALIDATIONINDEX
语种英语
WOS研究方向Astronomy & Astrophysics ; Geology
WOS类目Astronomy & Astrophysics ; Geosciences, Multidisciplinary
WOS记录号WOS:000566210700012
来源期刊EARTH AND SPACE SCIENCE
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/260014
推荐引用方式
GB/T 7714
Sharma, Shankar,Khadka, Nitesh,Hamal, Kalpana,et al. How Accurately Can Satellite Products (TMPA and IMERG) Detect Precipitation Patterns, Extremities, and Drought Across the Nepalese Himalaya?[J]. 中国科学院青藏高原研究所,2020,7(8).
APA Sharma, Shankar,Khadka, Nitesh,Hamal, Kalpana,Shrestha, Dibas,Talchabhadel, Rocky,&Chen, Yingying.(2020).How Accurately Can Satellite Products (TMPA and IMERG) Detect Precipitation Patterns, Extremities, and Drought Across the Nepalese Himalaya?.EARTH AND SPACE SCIENCE,7(8).
MLA Sharma, Shankar,et al."How Accurately Can Satellite Products (TMPA and IMERG) Detect Precipitation Patterns, Extremities, and Drought Across the Nepalese Himalaya?".EARTH AND SPACE SCIENCE 7.8(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Sharma, Shankar]的文章
[Khadka, Nitesh]的文章
[Hamal, Kalpana]的文章
百度学术
百度学术中相似的文章
[Sharma, Shankar]的文章
[Khadka, Nitesh]的文章
[Hamal, Kalpana]的文章
必应学术
必应学术中相似的文章
[Sharma, Shankar]的文章
[Khadka, Nitesh]的文章
[Hamal, Kalpana]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。