Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities-Reference-Cited by-同舟云学术

Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities

Published:2016-04-01 Issue:4 Volume:97 Page:621-638
ISSN:0003-0007
Container-title:Bulletin of the American Meteorological Society
language:en
Short-container-title:

Author:

Zhang Jian¹,Howard Kenneth¹,Langston Carrie²,Kaney Brian²,Qi Youcun²,Tang Lin²,Grams Heather²,Wang Yadong²,Cocks Stephen²,Martinaitis Steven²,Arthur Ami²,Cooper Karen²,Brogden Jeff²,Kitzmiller David³

Affiliation:

1. NOAA/OAR/NSSL, Norman, Oklahoma

2. NOAA/OAR/NSSL, and Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma

3. NOAA/NWS/OHD, Silver Spring, Maryland

Abstract

Abstract Rapid advancements of computer technologies in recent years made the real-time transferring and integration of high-volume, multisource data at a centralized location a possibility. The Multi-Radar Multi-Sensor (MRMS) system recently implemented at the National Centers for Environmental Prediction demonstrates such capabilities by integrating about 180 operational weather radars from the conterminous United States and Canada into a seamless national 3D radar mosaic with very high spatial (1 km) and temporal (2 min) resolution. The radar data can be integrated with high-resolution numerical weather prediction model data, satellite data, and lightning and rain gauge observations to generate a suite of severe weather and quantitative precipitation estimation (QPE) products. This paper provides an overview of the initial operating capabilities of MRMS QPE products.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Link

http://journals.ametsoc.org/bams/article-pdf/97/4/621/3745309/bams-d-14-00174_1.pdf

Reference49 articles.

1. Optimizing rainfall estimates with the aid of radar;Brandes;J. Appl. Meteor.,1975

2. Evaluation and uncertainty estimation of NOAA/NSSL next-generation National Mosaic QPE (Q2) over the continental United States;Chen;J. Hydrometeor.,2013

3. The Community Collaborative Rain, Hail, and Snow Network: Informal education for scientists and citizens;Cifelli;Bull. Amer. Meteor. Soc.,2005

4. An early performance evaluation of the NEXRAD dual-polarization radar rainfall estimates for urban flood applications;Cunha;Wea. Forecasting,2013

Cited by 467 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-scale analysis of satellite, reanalysis and muti-source precipitation estimates over the Tibetan Plateau;Atmospheric Research;2024-10

2. Mesoscale air motion and thermodynamics predict heavy hourly U.S. precipitation;Communications Earth & Environment;2024-08-30

3. Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products;Natural Hazards and Earth System Sciences;2024-08-02

4. An integrated cyberinfrastructure system for water quality resources in the Upper Mississippi River Basin;Journal of Hydroinformatics;2024-08-01

5. Use of Doppler velocity radars to monitor and predict debris and flood wave velocities and travel times in post-wildfire basins;Journal of Hydrology X;2024-08