Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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ISSN | 2072-4292 |
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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