Advancements and Characteristics of Gauge Ingest and Quality Control within the Multi-Radar Multi-Sensor System

Martinaitis, Steven M.; Cocks, Stephen B.; Simpson, Micheal J.; Osborne, Andrew P.; Harkema, Sebastian S.; Grams, Heather M.; Zhang, Jian; Howard, Kenneth W.

doi:10.1175/JHM-D-20-0234.1

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Advancements and Characteristics of Gauge Ingest and Quality Control within the Multi-Radar Multi-Sensor System

2021
By Martinaitis, Steven M. ; Cocks, Stephen B. ; Simpson, Micheal J. ; ...
Source: Journal of Hydrometeorology, 22(9), 2455-2474

[PDF-3.71 MB]

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Journal Title:

Journal of Hydrometeorology
Personal Author:

Martinaitis, Steven M. ; Cocks, Stephen B. ; Simpson, Micheal J. ; Osborne, Andrew P. ; Harkema, Sebastian S. ; ... More +

Martinaitis, Steven M. ; Cocks, Stephen B. ; Simpson, Micheal J. ; Osborne, Andrew P. ; Harkema, Sebastian S. ; Grams, Heather M. ; Zhang, Jian ; Howard, Kenneth W. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies)

OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory) ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) Less -
Description:

This study describes recent advancements in the Multi-Radar Multi-Sensor (MRMS) automated gauge ingest and quality control (QC) processes. A data latency analysis for the combined multiple gauge collection platforms provided guidance for a multiple-pass generation and delivery of gauge-based precipitation products. Various advancements to the gauge QC logic were evaluated over a 21-month period, resulting in an average of 86% of hourly gauge observations per hour being classified as useful. The fully automated QC logic was compared to manual human QC for a limited domain, which showed a >95% agreement in their QC reasoning categories. This study also includes an extensive evaluation of various characteristics related to the gauge observations ingested into the MRMS system. Duplicate observations between gauge collection platforms highlighted differences in site coordinates; moreover, errors in Automated Surface Observing System (ASOS) station site coordinates resulted in >79% of sites being located in a different MRMS 1-km grid cell. The ASOS coordinate analysis combined with examinations of other limitations regarding gauge observations highlight the need for robust and accurate metadata to further enhance the quality control of gauge data.
Keywords:

[+]

Rain gauges Data Quality Control Gauges Surface Observations
Source:

Journal of Hydrometeorology, 22(9), 2455-2474
DOI:

https://doi.org/10.1175/JHM-D-20-0234.1
Document Type:

Journal Article
Funding:

Grant no. NA11OAR4320072
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Submitted
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urn:sha256:78ef2919177e0933b103ee04e55bbe6b36ba754a9bf66fee010e141694b73bf9
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https://repository.library.noaa.gov/view/noaa/32245/noaa_32245_DS1.pdf
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Advancements and Characteristics of Gauge Ingest and Quality Control within the Multi-Radar Multi-Sensor System

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