Performance of IMERG as a Function of Spatiotemporal Scale

Tan, Jackson; Petersen, Walter A.; Kirstetter, Pierre-Emmanuel; Tian, Yudong

doi:10.1175/JHM-D-16-0174.1

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i

Performance of IMERG as a Function of Spatiotemporal Scale

2017
By Tan, Jackson ; Petersen, Walter A. ; Kirstetter, Pierre-Emmanuel ; ...
Source: J Hydrometeorol. 18(2), 307–319.

[PDF-2.11 MB]

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Journal Title:

Journal of Hydrometeorology
Personal Author:

Tan, Jackson ; Petersen, Walter A. ; Kirstetter, Pierre-Emmanuel ; Tian, Yudong

Tan, Jackson ; Petersen, Walter A. ; Kirstetter, Pierre-Emmanuel ; Tian, Yudong Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) Less -
Description:

The Integrated Multisatellite Retrievals for GPM (IMERG), a global high-resolution gridded precipitation dataset, will enable a wide range of applications, ranging from studies on precipitation characteristics to applications in hydrology to evaluation of weather and climate models. These applications focus on different spatial and temporal scales and thus average the precipitation estimates to coarser resolutions. Such amodification of scale will impact the reliability of IMERG. In this study, the performance of the Final Run of IMERG is evaluated against ground-based measurements as a function of increasing spatial resolution (from 0.18 to 2.58) and accumulation periods (from 0.5 to 24 h) over a region in the southeastern United States. For ground reference, a product derived from the Multi-Radar/Multi-Sensor suite, a radarand gauge-based operational precipitation dataset, is used. The TRMM Multisatellite Precipitation Analysis (TMPA) is also included as a benchmark. In general, both IMERG and TMPA improve when scaled up to larger areas and longer time periods, with better identification of rain occurrences and consistent improvements in systematic and random errors of rain rates. Between the two satellite estimates, IMERG is slightly better than TMPA most of the time. These results will inform users on the reliability of IMERG over the scales relevant to their studies.
Keywords:

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Measurement Meteorological Satellites Precipitation (Meteorology) Remote Sensing
Source:

J Hydrometeorol. 18(2), 307–319.
DOI:

https://doi.org/10.1175/JHM-D-16-0174.1
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Journal Article
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urn:sha256:c790726fa6a3462df701efbb7e0230441f7d54e96f847c5655323c86b652e580
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Performance of IMERG as a Function of Spatiotemporal Scale

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