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Very high resolution, altitude-corrected, TMPA-based monthly satellite precipitation product over the CONUS

Hashemi, Hossein LU orcid ; Fayne, Jessica ; Lakshmi, Venkat and Huffman, George J. (2020) In Scientific Data 7(1).
Abstract

The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) product provided over 17 years of gridded precipitation datasets. However, the accuracy and spatial resolution of TMPA limits the applicability in hydrometeorological applications. We present a dataset that enhances the accuracy and spatial resolution of the TMPA monthly product (3B43). We resample the TMPA data to a 1 km grid and apply a correction function derived from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) to reduce bias in the data. We confirm a linear relationship between bias and elevation above 1,500 meters where TMPA underestimates measured precipitation, providing a proof-of-concept of how simple linear... (More)

The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) product provided over 17 years of gridded precipitation datasets. However, the accuracy and spatial resolution of TMPA limits the applicability in hydrometeorological applications. We present a dataset that enhances the accuracy and spatial resolution of the TMPA monthly product (3B43). We resample the TMPA data to a 1 km grid and apply a correction function derived from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) to reduce bias in the data. We confirm a linear relationship between bias and elevation above 1,500 meters where TMPA underestimates measured precipitation, providing a proof-of-concept of how simple linear scaling can be used to augment existing satellite datasets. The result of the correction is the High-Resolution Altitude-Corrected Precipitation product (HRAC-Precip) for the CONUS. Using 9,200 precipitation stations from the Global Historical Climatology Network (GHCN), we compare the accuracy of TMPA 3B43 versus the new HRAC-Precip product. The results show an improvement of the mean absolute error of 12.98% on average.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Data
volume
7
issue
1
article number
74
publisher
Nature Publishing Group
external identifiers
  • scopus:85081042449
  • pmid:32127530
ISSN
2052-4463
DOI
10.1038/s41597-020-0411-0
language
English
LU publication?
yes
id
287ce97d-9b10-4af4-8741-7c0b1de9e79f
date added to LUP
2020-03-17 15:06:58
date last changed
2024-05-30 12:49:45
@article{287ce97d-9b10-4af4-8741-7c0b1de9e79f,
  abstract     = {{<p>The Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) product provided over 17 years of gridded precipitation datasets. However, the accuracy and spatial resolution of TMPA limits the applicability in hydrometeorological applications. We present a dataset that enhances the accuracy and spatial resolution of the TMPA monthly product (3B43). We resample the TMPA data to a 1 km grid and apply a correction function derived from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) to reduce bias in the data. We confirm a linear relationship between bias and elevation above 1,500 meters where TMPA underestimates measured precipitation, providing a proof-of-concept of how simple linear scaling can be used to augment existing satellite datasets. The result of the correction is the High-Resolution Altitude-Corrected Precipitation product (HRAC-Precip) for the CONUS. Using 9,200 precipitation stations from the Global Historical Climatology Network (GHCN), we compare the accuracy of TMPA 3B43 versus the new HRAC-Precip product. The results show an improvement of the mean absolute error of 12.98% on average.</p>}},
  author       = {{Hashemi, Hossein and Fayne, Jessica and Lakshmi, Venkat and Huffman, George J.}},
  issn         = {{2052-4463}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Data}},
  title        = {{Very high resolution, altitude-corrected, TMPA-based monthly satellite precipitation product over the CONUS}},
  url          = {{http://dx.doi.org/10.1038/s41597-020-0411-0}},
  doi          = {{10.1038/s41597-020-0411-0}},
  volume       = {{7}},
  year         = {{2020}},
}