Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System
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2020
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Source Journal of Atmospheric and Oceanic Technology, 37(9), 1521-1537
Tang, L., Zhang, J., Simpson, M., Arthur, A., Grams, H., Wang, Y., & Langston, C. (2020). Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System. Journal of Atmospheric and Oceanic Technology, 37(9). https://doi.org/10.1175/JTECH-D-19-0165.1
Tang, Lin, Jian Zhang, Micheal Simpson, Ami Arthur, Heather Grams, Yadong Wang, and Carrie Langston. "Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System." Journal of Atmospheric and Oceanic Technology 37, no. 9 (2020). https://doi.org/10.1175/JTECH-D-19-0165.1.
Tang, Lin, et al. "Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System." Journal of Atmospheric and Oceanic Technology, vol. 37, no. 9, 2020. NOAA IR. https://doi.org/10.1175/JTECH-D-19-0165.1.
Details
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Journal Title:Journal of Atmospheric and Oceanic Technology
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Description:The Multi-Radar-Multi-Sensor (MRMS) system was transitioned into operations at the National Centers for Environmental Prediction in the fall of 2014. It provides high-quality and high-resolution severe weather and precipitation products for meteorology, hydrology, and aviation applications. Among processing modules, the radar data quality control (QC) plays a critical role in effectively identifying and removing various nonhydrometeor radar echoes for accurate quantitative precipitation estimation (QPE). Since its initial implementation in 2014, the radar QC has undergone continuous refinements and enhancements to ensure its robust performance across seasons and all regions in the continental United States and southern Canada. These updates include 1) improved melting-layer delineation, 2) clearance of wind farm contamination, 3) mitigation of corrupt data impacts due to hardware issues, 4) mitigation of sun spikes, and 5) mitigation of residual ground/lake/sea clutter due to sidelobe effects and anomalous propagation. This paper provides an overview of the MRMS radar data QC enhancements since 2014.
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Source:Journal of Atmospheric and Oceanic Technology, 37(9), 1521-1537
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DOI:
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Rights Information:Other
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Compliance:Submitted
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Main Document Checksum:urn:sha256:8c501df5e864b8e261a8b94fae8b476b79c59b981bda7ef0c58e8e8e6a696fb3
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Tang, L., Zhang, J., Simpson, M., Arthur, A., Grams, H., Wang, Y., & Langston, C. (2020). Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System. Journal of Atmospheric and Oceanic Technology, 37(9). https://doi.org/10.1175/JTECH-D-19-0165.1
Tang, Lin, Jian Zhang, Micheal Simpson, Ami Arthur, Heather Grams, Yadong Wang, and Carrie Langston. "Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System." Journal of Atmospheric and Oceanic Technology 37, no. 9 (2020). https://doi.org/10.1175/JTECH-D-19-0165.1.
Tang, Lin, et al. "Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System." Journal of Atmospheric and Oceanic Technology, vol. 37, no. 9, 2020. NOAA IR. https://doi.org/10.1175/JTECH-D-19-0165.1.
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