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Performance evaluation of IMERG and TMPA daily precipitation products over CONUS (2000–2019)

Pirmoradian, Roghayeh LU ; Hashemi, Hossein LU orcid and Fayne, Jessica (2022) In Atmospheric Research 279.
Abstract

Ground validation of satellite-based precipitation products is necessary to evaluate the performance of satellite observation at local, regional, and global scales. The evaluation of the rainfall data accuracy will reveal both its strengths and weaknesses, thereby determining its suitability for hydrometeorological applications. To reach this goal, this study comprehensively evaluated and characterized the systematic bias in the Global Precipitation Measurement (GPM) Integrated Multi-SatellitE Retrievals for GPM (IMERG) precipitation product, to be compared with its predecessor Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), based on the wide-spread ground-based observation data, PRISM... (More)

Ground validation of satellite-based precipitation products is necessary to evaluate the performance of satellite observation at local, regional, and global scales. The evaluation of the rainfall data accuracy will reveal both its strengths and weaknesses, thereby determining its suitability for hydrometeorological applications. To reach this goal, this study comprehensively evaluated and characterized the systematic bias in the Global Precipitation Measurement (GPM) Integrated Multi-SatellitE Retrievals for GPM (IMERG) precipitation product, to be compared with its predecessor Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), based on the wide-spread ground-based observation data, PRISM (Parameter-Elevation Regression on Independent Slopes Model) over the Conterminous United States. The evaluation was conducted for daily datasets from June 2000 to the end of December 2019, in which IMERG and TMPA overlap using statistical error metrics both in space and time. While some statistical measures do not show significant improvement in daily IMERG compared to TMPA, systematic bias is substantially diminished. We detected systematic bias related to the vertical relief for both IMERG and TMPA but with a substantial decrease in the IMERG. The systematic bias in both satellite products distinctively differs in the summer and winter seasons, but, both products showed high performance in summer. According to our findings, the spatiotemporal performance of the IMERG precipitation product varies in different seasons, regions, time scales, and topographic conditions but with superiority over the TMPA daily product.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
GPM IMERG, Systematic Bias, Topographic Relief, TRMM TMPA
in
Atmospheric Research
volume
279
article number
106389
publisher
Elsevier
external identifiers
  • scopus:85136056336
ISSN
0169-8095
DOI
10.1016/j.atmosres.2022.106389
language
English
LU publication?
yes
id
9b38ff15-8e36-47dd-9330-b9975ff25b93
date added to LUP
2022-09-08 12:07:03
date last changed
2023-10-06 01:58:26
@article{9b38ff15-8e36-47dd-9330-b9975ff25b93,
  abstract     = {{<p>Ground validation of satellite-based precipitation products is necessary to evaluate the performance of satellite observation at local, regional, and global scales. The evaluation of the rainfall data accuracy will reveal both its strengths and weaknesses, thereby determining its suitability for hydrometeorological applications. To reach this goal, this study comprehensively evaluated and characterized the systematic bias in the Global Precipitation Measurement (GPM) Integrated Multi-SatellitE Retrievals for GPM (IMERG) precipitation product, to be compared with its predecessor Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), based on the wide-spread ground-based observation data, PRISM (Parameter-Elevation Regression on Independent Slopes Model) over the Conterminous United States. The evaluation was conducted for daily datasets from June 2000 to the end of December 2019, in which IMERG and TMPA overlap using statistical error metrics both in space and time. While some statistical measures do not show significant improvement in daily IMERG compared to TMPA, systematic bias is substantially diminished. We detected systematic bias related to the vertical relief for both IMERG and TMPA but with a substantial decrease in the IMERG. The systematic bias in both satellite products distinctively differs in the summer and winter seasons, but, both products showed high performance in summer. According to our findings, the spatiotemporal performance of the IMERG precipitation product varies in different seasons, regions, time scales, and topographic conditions but with superiority over the TMPA daily product.</p>}},
  author       = {{Pirmoradian, Roghayeh and Hashemi, Hossein and Fayne, Jessica}},
  issn         = {{0169-8095}},
  keywords     = {{GPM IMERG; Systematic Bias; Topographic Relief; TRMM TMPA}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Atmospheric Research}},
  title        = {{Performance evaluation of IMERG and TMPA daily precipitation products over CONUS (2000–2019)}},
  url          = {{http://dx.doi.org/10.1016/j.atmosres.2022.106389}},
  doi          = {{10.1016/j.atmosres.2022.106389}},
  volume       = {{279}},
  year         = {{2022}},
}