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

i

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

Details

Journal Title:

Journal of Hydrometeorology
Personal Author:

Nelson, Brian R. ; Prat, Olivier P. ; Leeper, Ronald D.
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)
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:
- 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
Rights Information:

Other
Compliance:

Submitted
Download URL:

https://repository.library.noaa.gov/view/noaa/33993/noaa_33993_DS1.pdf
File Type:

[PDF - 1.43 MB]
Collection(s):

NOAA Cooperative Institutes ; National Environmental Satellite and Data Information Service (NESDIS)
Main Document Checksum:

urn:sha256:b832ade6152ad457848a9047456e340625ff9db5426fe1c43c1a83f583096863

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