Assessing TROPICS SmallSat Precipitation for IMERG

Abstract NASA's Time‐Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission provides rapid‐refresh microwave measurements through a low‐cost smallsat constellation, each equipped with the TROPICS Millimeter‐wave Sounder (TMS). To assess TROPICS‐derived precipitation for potential integration into the Global Precipitation Measurement (GPM) mission's Integrated Multi‐satellite Retrievals for GPM (IMERG), this study evaluates precipitation retrievals from four of the TROPICS satellites using Precipitation Retrieval and Profiling Scheme (PRPS), relative to the GPM radar‐radiometer combined product (2BCMB) over ocean and land, as well as five sensors in the GPM radiometer constellation, including two cross‐track scanning sensors [Advanced Technology Microwave Sounder (ATMS) and Microwave Humidity Sounder (MHS)], and three conical‐scanning sensors [Special Sensor Microwave Imager/Sounder (SSMIS), GPM Microwave Imager (GMI), and Advanced Microwave Scanning Radiometer 2 (AMSR2)]. Over ocean, the PRPS‐TMS precipitation intensity estimates correlate better (0.52–0.56) with 2BCMB than ATMS (0.39) and MHS (0.38), which exhibit unrealistic multi‐peak intensity distributions. However, TMS performs worse than conically scanning sensors, with greater bias, most likely due to the lack of low‐frequency channels and the availability of vertical and horizontal polarizations. Over land, TMS underestimates heavy precipitation to a greater extent than all sensors in the GPM constellation except SSMIS, with similar coarser spatial resolution. Furthermore, TMS retrievals show a clear scan‐position dependence, with performance degrading toward the swath edge. Among the four TMS sensors, precipitation detection performance and precipitation intensity estimation are generally consistent, with precipitation occurrence, correlation, and bias statistics all indicating stable retrieval performance throughout the TROPICS mission duration.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-08-14
DOI
https://doi.org/10.1029/2026jd046970
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
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article

Assessing TROPICS SmallSat Precipitation for IMERG

Yalei You, Toshihisa Matsui, Jackson Tan, Daniel Watters et al.
Journal of Geophysical Research Atmospheres
Precipitation Measurement and Analysis
article

Assessing TROPICS SmallSat Precipitation for IMERG

Yalei You, Toshihisa Matsui, Jackson Tan, Daniel Watters, Jihoon Ryu, Chris Kidd, Robert Joyce, George Huffman, Scott Braun, Yayu Ma, William Blackwell
article en

Abstract

Abstract NASA's Time‐Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission provides rapid‐refresh microwave measurements through a low‐cost smallsat constellation, each equipped with the TROPICS Millimeter‐wave Sounder (TMS). To assess TROPICS‐derived precipitation for potential integration into the Global Precipitation Measurement (GPM) mission's Integrated Multi‐satellite Retrievals for GPM (IMERG), this study evaluates precipitation retrievals from four of the TROPICS satellites using Precipitation Retrieval and Profiling Scheme (PRPS), relative to the GPM radar‐radiometer combined product (2BCMB) over ocean and land, as well as five sensors in the GPM radiometer constellation, including two cross‐track scanning sensors [Advanced Technology Microwave Sounder (ATMS) and Microwave Humidity Sounder (MHS)], and three conical‐scanning sensors [Special Sensor Microwave Imager/Sounder (SSMIS), GPM Microwave Imager (GMI), and Advanced Microwave Scanning Radiometer 2 (AMSR2)]. Over ocean, the PRPS‐TMS precipitation intensity estimates correlate better (0.52–0.56) with 2BCMB than ATMS (0.39) and MHS (0.38), which exhibit unrealistic multi‐peak intensity distributions. However, TMS performs worse than conically scanning sensors, with greater bias, most likely due to the lack of low‐frequency channels and the availability of vertical and horizontal polarizations. Over land, TMS underestimates heavy precipitation to a greater extent than all sensors in the GPM constellation except SSMIS, with similar coarser spatial resolution. Furthermore, TMS retrievals show a clear scan‐position dependence, with performance degrading toward the swath edge. Among the four TMS sensors, precipitation detection performance and precipitation intensity estimation are generally consistent, with precipitation occurrence, correlation, and bias statistics all indicating stable retrieval performance throughout the TROPICS mission duration.

Journal of Geophysical Research AtmospheresVol. 131(16)
University of Maryland, Baltimore (US), Goddard Space Flight Center (US), University of North Carolina Wilmington (US), MIT Lincoln Laboratory (US), Earth System Science Interdisciplinary Center (US), Science Systems and Applications (United States) (US), Radar (United States) (US), University of Maryland, College Park (US), University of Birmingham (GB), University of Oklahoma (US)
Life below water
Openalex Percentile: Top 13%
Precipitation Measurement and Analysis
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