A
Ami Arthur
Researcher at Cooperative Institute for Mesoscale Meteorological Studies
Publications - 14
Citations - 1281
Ami Arthur is an academic researcher from Cooperative Institute for Mesoscale Meteorological Studies. The author has contributed to research in topics: Flash flood & Quantitative precipitation estimation. The author has an hindex of 9, co-authored 14 publications receiving 1070 citations. Previous affiliations of Ami Arthur include University of Oklahoma & National Oceanic and Atmospheric Administration.
Papers
More filters
Journal ArticleDOI
National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans
Jian Zhang,Kenneth W. Howard,Carrie Langston,Steve Vasiloff,Brian Kaney,Ami Arthur,Suzanne Van Cooten,Kevin E. Kelleher,David Kitzmiller,Feng Ding,Dong Jun Seo,Ernie Wells,Chuck Dempsey +12 more
TL;DR: The National Mosaic and Multi-sensor Quantitative Precipitation Estimation (NMQ) system was initially developed from a joint initiative between the National Oceanic and Atmospheric Administration's National Severe Storms Laboratory, the Federal Aviation Administration's Aviation Weather Research Program, and the Salt River Project.
Journal ArticleDOI
Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities
Jian Zhang,Kenneth W. Howard,Carrie Langston,Brian Kaney,Youcun Qi,Lin Tang,Heather M. Grams,Yadong Wang,Stephen B. Cocks,Steven M. Martinaitis,Ami Arthur,Karen Cooper,Jeff Brogden,David Kitzmiller +13 more
TL;DR: In this paper, the authors provide an overview of the initial operating capabilities of MRMS QPE products and present a suite of severe weather and quantitative precipitation estimation (QPE) products, which can be integrated with high-resolution numerical weather prediction model data, satellite data, and lightning and rain gauge observations.
Journal ArticleDOI
The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States
Jonathan J. Gourley,Zachary L. Flamig,Humberto Vergara,Pierre-Emmanuel Kirstetter,Robert A. Clark,Elizabeth M. Argyle,Ami Arthur,Steven M. Martinaitis,Galateia Terti,Jessica M. Erlingis,Yang Hong,Kenneth W. Howard +11 more
TL;DR: The Flooded Locations and Simulated Hydrographs (FLASH) project as mentioned in this paper is the first system to generate a suite of hydrometeorological products at flash flood scale in real-time across the conterminous United States.
Journal ArticleDOI
A Unified Flash Flood Database across the United States
Jonathan J. Gourley,Yang Hong,Zachary L. Flamig,Ami Arthur,Robert A. Clark,Martin Calianno,Isabelle Ruin,Terry W. Ortel,Michael E. Wieczorek,Pierre-Emmanuel Kirstetter,Edward Clark,Witold F. Krajewski +11 more
TL;DR: In this article, the authors present a large-scale dataset of U.S. flash flooding in terms of spatiotemporal behavior and specificity of impacts, which is the first of its kind to assemble, reprocess, describe, and disseminate a georeferenced database providing a longterm, detailed characterization of flash flooding.
Journal ArticleDOI
Probabilistic precipitation rate estimates with ground‐based radar networks
Pierre-Emmanuel Kirstetter,Pierre-Emmanuel Kirstetter,Jonathan J. Gourley,Yang Hong,Jian Zhang,Saber Moazamigoodarzi,Carrie Langston,Carrie Langston,Ami Arthur,Ami Arthur +9 more
TL;DR: In this paper, the uncertainty structure of radar quantitative precipitation estimation (QPE) is largely unknown at fine spatiotemporal scales near the radar measurement scale and a new method is proposed and called PRORATE for probabilistic QPE using radar observations of rate and typology estimates.