Improvements to the GOES-R Rainfall Rate Algorithm

Kuligowski, Robert J.; Li, Yaping; Hao, Yan; Zhang, Yu

doi:10.1175/jhm-d-15-0186.1

i

Improvements to the GOES-R Rainfall Rate Algorithm

2016
By Kuligowski, Robert J. ; Li, Yaping ; Hao, Yan ; ...

Details

Journal Title:

Journal of Hydrometeorology
Personal Author:

Kuligowski, Robert J. ; Li, Yaping ; Hao, Yan ; Zhang, Yu
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; NWS (National Weather Service) ; NWC (National Water Center) ; OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory)
Description:

The National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellite series R (GOES-R) will greatly expand the ability to observe the earth from geostationary orbit compared to the current-generation GOES, with more than 3 times as many spectral bands and a 75% reduction in footprint size. These enhanced capabilities are beneficial to rainfall rate estimation since they provide sensitivity to cloud-top properties such as phase and particle size that cannot be achieved using the limited channel selection of current GOES. The GOES-R rainfall rate algorithm, which is an infrared-based algorithm calibrated in real time against passive microwave rain rates, has been previously described in an algorithm theoretical basis document (ATBD); this paper describes modifications since the release of the ATBD, including a correction for evaporation of precipitation in dry regions and improved calibration updates. These improvements have been evaluated using a simplified version applicable to current-generation GOES to take advantage of the high-resolution ground validation data routinely available over the conterminous United States.
Keywords:

Algorithms Atm/Ocean Structure/ Phenomena Hydrometeorology Observational Techniques And Algorithms Physical Meteorology And Climatology Precipitation Rainfall Remote Sensing Satellite Observations
Source:

Journal of Hydrometeorology, 17(6), 1693-1704
DOI:

https://doi.org/10.1175/jhm-d-15-0186.1
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

urn:sha256:4782e71d90ee1af651640ddd5f08a3913c2e9a1ffa5290713124606468841441
Download URL:

https://repository.library.noaa.gov/view/noaa/41069/noaa_41069_DS1.pdf
File Type:

[PDF - 1.78 MB ]

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