4.7 Article

Evaluation of topographical and seasonal feature using GPM IMERG and TRMM 3B42 over Far-East Asia

Journal

ATMOSPHERIC RESEARCH
Volume 187, Issue -, Pages 95-105

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.atmosres.2016.12.007

Keywords

Precipitation; Global Precipitation Measurement mission; Tropical Rainfall Measurement Mission; Topography; Seasonal effect; Atmosphere

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIP) [NRF-2016R1A2B4008312]
  2. National Research Foundation of Korea [2016R1A2B4008312] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The acquisition of accurate precipitation data is essential for analyzing various hydrological phenomena and climate change. Recently, the Global Precipitation Measurement (GPM) satellites were launched as a next-generation rainfall mission for observing global precipitation characteristics. The main objective in this study is to assess precipitation products from GPM, especially the Integrated Multi-satellitE Retrievals (GPM-3IMERGHH) and the Tropical Rainfall Measurement Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), using gauge based precipitation data from Far-East Asia during the pre-monsoon and monsoon seasons. Evaluation was performed by focusing on three different factors: geographical aspects, seasonal factors, and spatial distributions. In both mountainous and coastal regions, the GPM-3IMERGHH product showed better performance than the TRMM 3B42 V7, although both rainfall products showed uncertainties caused by orographic convection and the land ocean classification algorithm. GPM-3IMERGHH performed about 8% better than TRMM 3B42 V7 during the pre-monsoon and monsoon seasons due to the improvement of loaded sensor and reinforcement in capturing convective rainfall, respectively. In depicting the spatial distribution of precipitation, GPM-3IMERGHH was more accurate than TRMM 3B42 V7 because of its enhanced spatial and temporal resolutions of 10 km and 30 min, respectively. Based on these results, GPM-3IMERGHH would be helpful for not only understanding the characteristics of precipitation with high spatial and temporal resolution, but also for estimating near-realtime runoff patterns. (C) 2016 Elsevier B.V. All rights reserved.

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