Results 81 to 90 of about 935 (210)

Data-Driven Non-Precipitation Echo Removal of NEXRAD Radars Based on a Random Forest Classifier Using Polarimetric Observations and GOES-16 Data

Remote Sensing
In this paper, the authors developed a data-driven model to classify radar measurements into precipitation (P) and non-precipitation (NP) echoes using the Random Forest machine learning algorithm.
Munsung Keem, Bong-Chul Seo, Witold F. Krajewski, Sangdan Kim   +3 more
doaj   +1 more source

Examining inter‐regional and intra‐seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways

Journal of Avian Biology
The Central Valley of California (CVC) and Mid‐Atlantic (MA) in the U.S. are both critical sites for nationwide food security, and many waterfowl species annually, especially during the winter, providing feeding and roosting locations for a variety of ...
Matthew J. Hardy, Christopher K. Williams, Brian S. Ladman, Maurice E. Pitesky, Cory T. Overton, Michael L. Casazza, Elliott L. Matchett, Diann J. Prosser, Jeffrey J. Buler   +8 more
doaj   +1 more source

Intercomparison of Vertical Structure of Storms Revealed by Ground-Based (NMQ) and Spaceborne Radars (CloudSat-CPR and TRMM-PR)

The Scientific World Journal, 2013
Spaceborne radars provide great opportunities to investigate the vertical structure of clouds and precipitation. Two typical spaceborne radars for such a study are the W-band Cloud Profiling Radar (CPR) and Ku-band Precipitation Radar (PR), which are ...
Veronica M. Fall, Qing Cao, Yang Hong
doaj   +1 more source

Rainfall Estimation from X-band Polarimetric Radar and Disdrometer Observation Measurements Compared to NEXRAD Measurements: An Application of Rainfall Estimates

, 2016
This paper presents the comparison of rainfall estimation from X-band dual-polarization radar observations and NEXRAD observations to that of rain gauge observations.
Newkirk, Brady
core   +1 more source

Hydro-NEXRAD Radar-rainfall Estimation Algorithm Development, Testing And Evaluation [PDF]

, 2007
The Hydro-NEXRAD radar-rainfall estimation algorithms involve three main components: 1) preprocessing, 2) rain rate, and 3) rainfall accumulation. The preprocessing algorithm performs the quality control of reflectivity volume data and generates a hybrid
Kruger, Anton, Krajewski, Witold F., Gunyon, Charles, Domaszczynski, Piotr, Seo, Bong Chul, Villarini, Gabriele   +5 more
core   +1 more source

Hydro-NEXRAD-2: Real-time Access To Customized Radar-rainfall For Hydrologic Applications

, 2013
Hydro-NEXRAD-2 (HNX2) is a prototype system that allows hydrologic users real-time access to NEXRAD radar data in support of a wide range of research. The system processes basic radar data (Level II) and delivers radar-rainfall products based on the user\
Kruger, Anton, Krajewski, Witold F., Smith, James A., Seo, Bong Chul, Singh, Satpreet   +4 more
core   +1 more source

Evaluation of TRMM precipitation radar rainfall estimates using NEXRAD and rain gauges in central and south Florida

, 1999
Monthly rate accumulation on 0.5° × 0.5° Lat/Lon boxes was estimated using Next Generation Radar WSR-88D (NEXRAD) and using rain gauges for the central Florida region during Texas/Florida Underflights Experiment (TEFLUN-B).
Jones, Linwood W., Kasparis, Takis, Ding, Zhiyong, Charalampidis, Dimitrios, Roy, Biswadev, Ray, Peter S., Datta, Saswati   +6 more
core   +1 more source

Empleo de información NEXRAD en el modelado hidrológico para cuencas con pluviometría deficiente

Tecnología y ciencias del agua, 2011
Este trabajo presenta el proceso necesario de adecuación de datos de precipitación obtenidos de imágenes de radar meteorológico mediante SIG para su empleo en el modelado hidrológico distribuido.
Víctor Hugo Guerra Cobián, Khalidou M. Bâ, Emmanuelle Quentin Joret, Carlos Díaz Delgado, Alin A. Cârsteanu   +4 more
doaj  

Next Generation Weather Radar (NEXRAD) : algorithm report /

, 1986
"R400-AR301"--Cover."December 1985."Shipping list no.: 86-251-P.Mode of access ...
NEXRAD Joint System Program Office (U.S.)
core  

Rainfall patterns in a small-scale watershed based on NexRad and ground-based datasets [PDF]

, 2016
Quantifying and predicting the ecosystems responses to changes in natural and anthropogenic stressors using environmental models require a realistic representation of probable rainfall in its most sensible spatial-temporal dimensions matching that of the
Hou, Congyu
core