Using Ancillary Information from Radar-Based Observations and Rain Gauges to Identify Error and Bias

Nelson, Brian R.; Prat, Olivier P.; Leeper, Ronald D.

doi:10.1175/JHM-D-20-0193.1

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Using Ancillary Information from Radar-Based Observations and Rain Gauges to Identify Error and Bias

2021
By Nelson, Brian R. ; Prat, Olivier P. ; Leeper, Ronald D.
Source: Journal of Hydrometeorology, 22(5), 1249-1258

[PDF-1.43 MB]

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Journal Title:

Journal of Hydrometeorology
Personal Author:

Nelson, Brian R. ; Prat, Olivier P. ; Leeper, Ronald D.

Nelson, Brian R. ; Prat, Olivier P. ; Leeper, Ronald D. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) ; CISESS (Cooperative Institute for Satellite Earth System Studies)

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) ; CISESS (Cooperative Institute for Satellite Earth System Studies) Less -
Description:

Ancillary information that exists within rain gauge and radar-based datasets provides opportunities to better identify error and bias between the two observing platforms as compared to error and bias statistics without ancillary information. These variables include precipitation type identification, air temperature, and radar quality.
Keywords:

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Precipitation Radars/Radar Observations
Source:

Journal of Hydrometeorology, 22(5), 1249-1258
DOI:

https://doi.org/10.1175/JHM-D-20-0193.1
Document Type:

Journal Article
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Submitted
Main Document Checksum:

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urn:sha256:b832ade6152ad457848a9047456e340625ff9db5426fe1c43c1a83f583096863
Download URL:

https://staging-noaa.cdc.gov/view/noaa/33993/noaa_33993_DS1.pdf
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Using Ancillary Information from Radar-Based Observations and Rain Gauges to Identify Error and Bias

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