Abstract

The impact of one or two missing passive microwave (PMW) input sensors on the end product of multi-satellite precipitation products is an interesting but obscure issue for both algorithm developers and data users. On 28 January 2013, the Version-7 TRMM Multi-satellite Precipitation Analysis (TMPA) products were reproduced and re-released by National Aeronautics and Space Administration (NASA) Goddard Space Flight Center because the Advanced Microwave Sounding Unit-B (AMSU-B) and the Special Sensor Microwave Imager-Sounder-F16 (SSMIS-F16) input data were unintentionally disregarded in the prior retrieval. Thus, this study investigates the sensitivity of TMPA algorithm results to missing PMW sensors by intercomparing the “early” and “late” Version-7 TMPA real-time (TMPA-RT) precipitation estimates (i.e., without and with AMSU-B, SSMIS-F16 sensors) with an independent high-density gauge network of 200 tipping-bucket rain gauges over the Chinese Jinghe river basin (45,421 km2). The retrieval counts and retrieval frequency of various PMW and Infrared (IR) sensors incorporated into the TMPA system were also analyzed to identify and diagnose the impacts of sensor availability on the TMPA-RT retrieval accuracy. Results show that the incorporation of AMSU-B and SSMIS-F16 has substantially reduced systematic errors. The improvement exhibits rather strong seasonal and topographic dependencies. Our analyses suggest that one or two single PMW sensors might play a key role in affecting the end product of current combined microwave-infrared precipitation estimates. This finding supports algorithm developers’ current endeavor in spatiotemporally incorporating as many PMW sensors as possible in the multi-satellite precipitation retrieval system called Integrated Multi-satellitE Retrievals for Global Precipitation Measurement mission (IMERG). This study also recommends users of satellite precipitation products to switch to the newest Version-7 TMPA datasets and the forthcoming IMERG products whenever they become available.

Highlights

  • IntroductionPrecipitation Analysis (TMPA) products, which have been anticipated by the satellite QPE-hydrology community

  • On 22 May 2012, the National Aeronautics and Space Administration (NASA) Goddard Earth Sciences Data and Information Services Center announced the release of the Version-7 Tropical Rainfall Measuring Mission (TRMM) Multi-satellitePrecipitation Analysis (TMPA) products, which have been anticipated by the satellite QPE-hydrology community

  • The daily and monthly comparison of RTV7-R1 and RTV7-R2 versus gauge observations were first performed over thirty-two selected gridboxes and the whole basin average

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Summary

Introduction

Precipitation Analysis (TMPA) products, which have been anticipated by the satellite QPE-hydrology community. Compared to the previous Version-6, the Version-7 TMPA system integrated some new, important data sources from passive microwave (PMW), mainly including the Special Sensor. Merged Global IR Dataset (i.e., January 1998–February 2000) in the Version-7, which has no impact on the most recent 14 years of TMPA estimation. Climatology Centre (GPCC V2.2) full analysis was employed as the gauge analysis for climatological calibration of the TMPA real-time (TMPA-RT) estimates and the month-to-month gauge adjustments in the TMPA post-real-time (TMPA-PR) research products [2]. A specific latitude-band calibration scheme was carried out for all satellites in the blending techniques to estimate the merged precipitation. The Version-7 TMPA datasets are generally considered an improvement over

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