NPreciSe - An Automated Satellite Precipitation Product Assessment Tool

Satellite-based Quantitative Precipitation Estimates (QPE) are indirect estimates of precipitation rates and as such are often prone to errors, warranting a need for characterizing the associated uncertainties before being used in application-specific studies. Moreover, multiple satellite-based QPE products are offered through different agencies, each with their own specifications, formats and requirements, posing a challenge to understanding the products uncertainties. This manuscript presents a standardized validation system named NPreciSe - NOAA Satellite-based Precipitation Validation System, which assesses the performance of satellite-based precipitation products in near real-time over the continental United States. NPreciSe is coupled with a user-interactive web platform and built using an open-source software, Python. It is structured to help (1) the end-users determine the best satellite QPE for their specific application, and (2) the algorithm developers identify systematic biases in QPE retrievals. This manuscript presents the capabilities of the NPreciSe, discusses the methodology adopted in developing the standardized validation system, and introduces the web portal.

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Publication Details

Journal
Scientific Data
Published
2024-09-27
DOI
https://doi.org/10.1038/s41597-024-03877-x
Citations
1
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.38

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NPreciSe - An Automated Satellite Precipitation Product Assessment Tool

Malarvizhi Arulraj, Ralph Ferraro, Huan Meng, Veljko Petković et al.
1 citations
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article

NPreciSe - An Automated Satellite Precipitation Product Assessment Tool

Malarvizhi Arulraj, Ralph Ferraro, Huan Meng, Veljko Petković, Susan Wen
article en
1 citations

Abstract

Satellite-based Quantitative Precipitation Estimates (QPE) are indirect estimates of precipitation rates and as such are often prone to errors, warranting a need for characterizing the associated uncertainties before being used in application-specific studies. Moreover, multiple satellite-based QPE products are offered through different agencies, each with their own specifications, formats and requirements, posing a challenge to understanding the products uncertainties. This manuscript presents a standardized validation system named NPreciSe - NOAA Satellite-based Precipitation Validation System, which assesses the performance of satellite-based precipitation products in near real-time over the continental United States. NPreciSe is coupled with a user-interactive web platform and built using an open-source software, Python. It is structured to help (1) the end-users determine the best satellite QPE for their specific application, and (2) the algorithm developers identify systematic biases in QPE retrievals. This manuscript presents the capabilities of the NPreciSe, discusses the methodology adopted in developing the standardized validation system, and introduces the web portal.

Scientific DataVol. 11(1)
NOAA Center for Satellite Applications and Research (US), Earth System Science Interdisciplinary Center (US), University of Maryland, College Park (US)
National Oceanic and Atmospheric Administration
Openalex Percentile: Top 40%
Precipitation Measurement and Analysis
0.38
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