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Article

Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau

by 1,*, 2, 1, 2, 1, 1 and 1,3,*
1
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing 100871, China
2
Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
3
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, USA
*
Authors to whom correspondence should be addressed.
Remote Sens. 2018, 10(12), 1883; https://doi.org/10.3390/rs10121883
Received: 25 October 2018 / Revised: 15 November 2018 / Accepted: 16 November 2018 / Published: 26 November 2018
(This article belongs to the Special Issue Remote Sensing Water Cycle: Theory, Sensors, Data, and Applications)
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. View Full-Text
Keywords: precipitation; IMERG; TMPA; random forest; downscaling; Tibetan Plateau precipitation; IMERG; TMPA; random forest; downscaling; Tibetan Plateau
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MDPI and ACS Style

Ma, Z.; He, K.; Tan, X.; Xu, J.; Fang, W.; He, Y.; Hong, Y. Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau. Remote Sens. 2018, 10, 1883. https://doi.org/10.3390/rs10121883

AMA Style

Ma Z, He K, Tan X, Xu J, Fang W, He Y, Hong Y. Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau. Remote Sensing. 2018; 10(12):1883. https://doi.org/10.3390/rs10121883

Chicago/Turabian Style

Ma, Ziqiang; He, Kang; Tan, Xiao; Xu, Jintao; Fang, Weizhen; He, Yu; Hong, Yang. 2018. "Comparisons of Spatially Downscaling TMPA and IMERG over the Tibetan Plateau" Remote Sens. 10, no. 12: 1883. https://doi.org/10.3390/rs10121883

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