Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Carrie Langston"'
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
Complex terrain poses significant challenges to the radar based quantitative precipitation estimation (QPE) because of blockages to the lower tilts of radar observations. The blockages often force the use of higher tilts data to estimate precipitatio
Externí odkaz:
https://doaj.org/article/cf847d915534460c96a5fa520a251d33
Autor:
Kenneth W. Howard, Pin-Fang Lin, Yu-Shuang Tang, Chia-Rong Chen, Jian Zhang, Lin Tang, Carrie Langston, Brian Kaney, Pao-Liang Chang
Publikováno v:
Bulletin of the American Meteorological Society. 102:E555-E577
Over the last two decades, the Central Weather Bureau of Taiwan and the U.S. National Severe Storms Laboratory have been involved in a research and development collaboration to improve the monitoring and prediction of river flooding, flash floods, de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df469cb0c56474961d779b53b9deca18
https://doi.org/10.1175/bams-d-20-0043.1
https://doi.org/10.1175/bams-d-20-0043.1
Autor:
Stephen B. Cocks, Kenneth W. Howard, Carrie Langston, Pengfei Zhang, Brian Kaney, Alexander V. Ryzhkov, Lin Tang, Jian Zhang
Publikováno v:
Journal of Hydrometeorology. 21:2507-2521
A new dual-polarization (DP) radar synthetic quantitative precipitation estimation (QPE) product was developed using a combination of specific attenuation A, specific differential phase KDP, and reflectivity Z to calculate the precipitation rate R. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bff7c23b2f3386c134284cdabc45c49
https://doi.org/10.1175/jhm-d-19-0194.1
https://doi.org/10.1175/jhm-d-19-0194.1
Autor:
Ami Arthur, Micheal Joseph Simpson, Carrie Langston, Heather M. Grams, Jian Zhang, Lin Tang, Yadong Wang
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 37:1521-1537
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 meteorolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28b49d703edf881b5e8c862fc14aa710
https://doi.org/10.1175/jtech-d-19-0165.1
https://doi.org/10.1175/jtech-d-19-0165.1
Autor:
Stephen B. Cocks, Kenneth W. Howard, Steven M. Martinaitis, Andrew P. Osborne, Jian Zhang, Micheal Joseph Simpson, Carrie Langston, Brian Kaney, Ami Arthur
Publikováno v:
Journal of Hydrometeorology. 21:1485-1511
Weather radars and gauge observations are the primary observations to determine the coverage and magnitude of precipitation; however, radar and gauge networks have significant coverage gaps, which can underrepresent or even miss the occurrence of pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40fbb09297f0391028b7e225fb3a4ebf
https://doi.org/10.1175/jhm-d-19-0264.1
https://doi.org/10.1175/jhm-d-19-0264.1
Publikováno v:
Journal of Hydrometeorology. 19:87-111
Precipitation values estimated by radar are assumed to be the amount of precipitation that occurred at the surface, yet this notion is inaccurate. Numerous atmospheric and microphysical processes can alter the precipitation rate between the radar bea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89fe7c250b3b29de90dd0e6c94e142fb
https://doi.org/10.1175/jhm-d-17-0093.1
https://doi.org/10.1175/jhm-d-17-0093.1
Autor:
Lin Tang, Jeff Brogden, Jian Zhang, Ami Arthur, Brian Kaney, Carrie Langston, Heather M. Grams, Yadong Wang, Youcun Qi, Kenneth W. Howard, Stephen B. Cocks, Steven M. Martinaitis, Karen Cooper, David Kitzmiller
Publikováno v:
Bulletin of the American Meteorological Society. 97:621-638
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 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab86064138b16219af0209d90f3d4d88
https://doi.org/10.1175/bams-d-14-00174.1
https://doi.org/10.1175/bams-d-14-00174.1
Autor:
Carrie Langston, Saber Moazamigoodarzi, Ami Arthur, Jian Zhang, Jonathan J. Gourley, Pierre-Emmanuel Kirstetter, Yang Hong
Publikováno v:
Water Resources Research. 51:1422-1442
The uncertainty structure of radar quantitative precipitation estimation (QPE) is largely unknown at fine spatiotemporal scales near the radar measurement scale. By using the WSR-88D radar network and gauge data sets across the conterminous US, an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6431414458989b8da4283424a57d4706
https://doi.org/10.1002/2014wr015672
https://doi.org/10.1002/2014wr015672
Publikováno v:
Weather and Forecasting. 29:1106-1119
Polarimetric radar observations provide information regarding the shape and size of scatterers in the atmosphere, which help users to differentiate between precipitation and nonprecipitation radar echoes. Identifying and removing nonprecipitation ech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd6983deaac559166757079e8e3d69d0
https://doi.org/10.1175/waf-d-13-00072.1
https://doi.org/10.1175/waf-d-13-00072.1
Publikováno v:
Journal of Hydrometeorology. 15:1794-1809
High-resolution, accurate quantitative precipitation estimation (QPE) is critical for monitoring and prediction of flash floods and is one of the most important drivers for hydrological forecasts. Rain gauges provide a direct measure of precipitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14104a0519103004ce1ac2ac871947ba
https://doi.org/10.1175/jhm-d-13-0163.1
https://doi.org/10.1175/jhm-d-13-0163.1