Results 61 to 70 of about 935 (210)

Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E [PDF]

Atmospheric Measurement Techniques, 2017
The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program's Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements ...
K. W. North, M. Oue, P. Kollias, P. Kollias, S. E. Giangrande, S. M. Collis, C. K. Potvin, C. K. Potvin   +7 more
doaj   +1 more source

Using NEXRAD Products During Convective Weather Situations

, 2020
This is an interactive, web-based, training course on Using NEXRAD Products Druing Convective Weather ...
Thomas, Robert, Lanicci, John, Cobbett, Erin R., Cruit, Jessica K., Blickensderfer, Beth   +4 more
core  

Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership

, 2018
The National Oceanic and Atmospheric Administration’s (NOAA) Big Data Partnership (BDP) was established in April 2015 through cooperative research agreements between NOAA and selected commercial and academic partners.
Ariel Gold, Otis Brown, Jed Sundwall, Scott Wilkins, Jeff Layton, Mohan Ramamurthy, Ryan May, Stephen Del Greco, Edward Kearns, Steve Ansari, Valliappa Lakshmanan, Adam Pasch, Jeff Weber   +12 more
core   +1 more source

A Climatology of Mesoscale Convective System Hazards in the United States and Their Representation in a Convection‐Permitting Model

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 5, 16 March 2026.
Abstract Mesoscale convective systems (MCSs) are large, organized convective storms that frequently produce flash floods and other severe hazards such as damaging winds, hail, and tornadoes. Developing an observationally based MCS hazard climatology is important for establishing a baseline to evaluate the representation of these events in numerical ...
Wenjun Cui, Kimberly A. Hoogewind, Thomas J. Galarneau Jr.   +2 more
wiley   +1 more source

Analysis of Satellite‐Ground Radar Reflectivity Consistency: First Evaluation Results of FY‐3G and GPM Precipitation Radar

Geophysical Research Letters
The FY‐3G Precipitation Measurement Radar (PMR), the world's second dual‐frequency satellite precipitation radar (SR), provides three‐dimensional precipitation structure data in mid‐ and low‐latitude regions, with performance comparable to Global ...
Peng Chen, Lin Chen, Qiong Wu, Gang Wang, Peng Zhang   +4 more
doaj   +1 more source

Path-CVP (pCVP) – polarimetric radar data snapshot along the predefined path based on Columnar Vertical Profiles [PDF]

Atmospheric Measurement Techniques
Recently introduced Columnar Vertical Profiles (CVPs) arrange polarimetric radar data collected via plan position indicator (PPI) scans in height vs. time format at a single location.
P. Bukovčić, J. Krause
doaj   +1 more source

Investigating rainfall estimation from radar measurements using neural networks [PDF]

Natural Hazards and Earth System Sciences, 2013
Rainfall observed on the ground is dependent on the four dimensional structure of precipitation aloft. Scanning radars can observe the four dimensional structure of precipitation.
A. Alqudah, V. Chandrasekar, M. Le
doaj   +1 more source

Hydrologic Dynamics of Ephemerally Flooded Playas in a Dryland Environment

Water Resources Research, Volume 62, Issue 1, January 2026.
Abstract Ephemerally flooded playas are common in the southwestern United States and globally in drylands. Often formed in closed basins, playas are depressions which inundate infrequently from local precipitation and streamflow produced near the playa or from upland areas.
Charles R. Kimsal, Enrique R. Vivoni, Osvaldo E. Sala, H. Curtis Monger, Owen P. McKenna   +4 more
wiley   +1 more source

Phased-Array Radar System Simulator (PASIM): Development and Simulation Result Assessment

Remote Sensing, 2019
In this paper, a system-specific phased-array radar system simulator was developed, based on a time-domain modeling and simulation method, mainly for system performance evaluation of the future Spectrum-Efficient National Surveillance Radar (SENSR).
Zhe Li, Sudantha Perera, Yan Zhang, Guifu Zhang, Richard Doviak   +4 more
doaj   +1 more source

Of Fire and Smoke Plumes, Polarimetric Radar Characteristics

Atmosphere, 2020
Weather surveillance radars routinely detect smoke of various origin. Of particular significance to the meteorological community are wildfires in forests and/or prairies.
Dusan Zrnic, Pengfei Zhang, Valery Melnikov, Djordje Mirkovic   +3 more
doaj   +1 more source