Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau
Accurate precipitation data is crucial in many applications such as hydrology, meteorology, and ecology. Compared with ground observations, satellite-based precipitation estimates can provide much more spatial information to characterize precipitation. In this study, the satellite-based precipitatio...
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doaj-c6c860ef89cc452faae87a841ca8e9722020-11-24T22:57:26ZengMDPI AGRemote Sensing2072-42922018-11-011012188310.3390/rs10121883rs10121883Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan PlateauZiqiang Ma0Kang He1Xiao Tan2Jintao Xu3Weizhen Fang4Yu He5Yang Hong6Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, ChinaInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, ChinaInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, ChinaInstitute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, ChinaAccurate precipitation data is crucial in many applications such as hydrology, meteorology, and ecology. Compared with ground observations, satellite-based precipitation estimates can provide much more spatial information to characterize precipitation. In this study, the satellite-based precipitation products of Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) and Tropical Rainfall Measurement Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) were firstly evaluated over the Tibetan Plateau (TP) in 2015 against ground observations at both annual and monthly scales. Secondly, random forest algorithm was used to obtain the annual downscaled results (~1 km) based on IMERG and TMPA data and the downscaled results were examined against rain gauge data. Thirdly, a disaggregation algorithm was used to obtain the monthly downscaled results based on those at annual scale. The results indicated that (1) IMERG performed better than TMPA at both annual and monthly scales; (2) IMERG had few anomalies while TMPA displayed significant numbers of outliers in central and western parts of the TP; (3) random forest was a promising algorithm in acquiring high resolution precipitation data with improved accuracy; (4) the downscaled results based on IMERG had better performances than those based on TMPA.https://www.mdpi.com/2072-4292/10/12/1883precipitationIMERGTMPArandom forestdownscalingTibetan Plateau |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ziqiang Ma Kang He Xiao Tan Jintao Xu Weizhen Fang Yu He Yang Hong |
spellingShingle |
Ziqiang Ma Kang He Xiao Tan Jintao Xu Weizhen Fang Yu He Yang Hong Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau Remote Sensing precipitation IMERG TMPA random forest downscaling Tibetan Plateau |
author_facet |
Ziqiang Ma Kang He Xiao Tan Jintao Xu Weizhen Fang Yu He Yang Hong |
author_sort |
Ziqiang Ma |
title |
Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau |
title_short |
Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau |
title_full |
Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau |
title_fullStr |
Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau |
title_full_unstemmed |
Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau |
title_sort |
comparisons of spatially downscaling tmpa and imerg over the tibetan plateau |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-11-01 |
description |
Accurate precipitation data is crucial in many applications such as hydrology, meteorology, and ecology. Compared with ground observations, satellite-based precipitation estimates can provide much more spatial information to characterize precipitation. In this study, the satellite-based precipitation products of Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) and Tropical Rainfall Measurement Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) were firstly evaluated over the Tibetan Plateau (TP) in 2015 against ground observations at both annual and monthly scales. Secondly, random forest algorithm was used to obtain the annual downscaled results (~1 km) based on IMERG and TMPA data and the downscaled results were examined against rain gauge data. Thirdly, a disaggregation algorithm was used to obtain the monthly downscaled results based on those at annual scale. The results indicated that (1) IMERG performed better than TMPA at both annual and monthly scales; (2) IMERG had few anomalies while TMPA displayed significant numbers of outliers in central and western parts of the TP; (3) random forest was a promising algorithm in acquiring high resolution precipitation data with improved accuracy; (4) the downscaled results based on IMERG had better performances than those based on TMPA. |
topic |
precipitation IMERG TMPA random forest downscaling Tibetan Plateau |
url |
https://www.mdpi.com/2072-4292/10/12/1883 |
work_keys_str_mv |
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