Arid
DOI10.3390/rs10111835
Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan
Rahman, Khalil Ur; Shang, Songhao; Shahid, Muhammad; Li, Jiang
通讯作者Shang, Songhao
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2018
卷号10期号:11
英文摘要

Accurate estimation of precipitation is critical for hydrological, meteorological, and climate models. This study evaluates the performance of satellite-based precipitation products (SPPs) including Global Precipitation Measurement (GPM)-based Integrated Multi-Satellite Retrievals for GPM (IMERG), Tropical Rainfall Measurement Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA 3B43-v7), Precipitation Estimation from Remotely-Sensed Information using Artificial Neural Network (PERSIANN), and PERSIANN-CDR (Climate Data Record), over Pakistan based on Surface Precipitation Gauges (SPGs) at spatial and temporal scales. A novel ensemble precipitation (EP) algorithm is developed by selecting the two best SPPs using the Paired Sample t-test and Principal Component Analysis (PCA). The SPPs and EP algorithm are evaluated over five climate zones (ranging from glacial Zone-A to hyper-arid Zone-E) based on six statistical metrics. The result indicated that IMERG outperformed all other SPPs, but still has considerable overestimation in the highly elevated zones (+20.93 mm/month in Zone-A) and relatively small underestimation in the arid zone (-2.85 mm/month in Zone-E). Based on the seasonal evaluation, IMERG and TMPA overestimated precipitation during pre-monsoon and monsoon seasons while underestimating precipitation during the post-monsoon and winter seasons. However, the developed EP algorithm significantly reduced the errors both on spatial and temporal scales. The only limitation of the EP algorithm is relatively poor performance at high elevation as compared to low elevations.


英文关键词satellite precipitation Global Precipitation Measurement (GPM) IMERG TRMM-TMPA Ensemble Precipitation (EP) algorithm topographical and seasonal evaluation
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000451733800166
WOS关键词MEASURING MISSION TRMM ; RAINFALL PRODUCTS ; ANALYSIS TMPA ; GAUGE DATA ; RESOLUTION ; VALIDATION ; DATASETS ; CLIMATE ; SIMULATION ; RETRIEVAL
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构清华大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/212662
作者单位Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
推荐引用方式
GB/T 7714
Rahman, Khalil Ur,Shang, Songhao,Shahid, Muhammad,et al. Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan[J]. 清华大学,2018,10(11).
APA Rahman, Khalil Ur,Shang, Songhao,Shahid, Muhammad,&Li, Jiang.(2018).Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan.REMOTE SENSING,10(11).
MLA Rahman, Khalil Ur,et al."Developing an Ensemble Precipitation Algorithm from Satellite Products and Its Topographical and Seasonal Evaluations Over Pakistan".REMOTE SENSING 10.11(2018).
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