Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Kenneth W Howard"'
Autor:
Winifred F Frick, Phillip M Stepanian, Jeffrey F Kelly, Kenneth W Howard, Charles M Kuster, Thomas H Kunz, Phillip B Chilson
Publikováno v:
PLoS ONE, Vol 7, Iss 8, p e42737 (2012)
Interest in forecasting impacts of climate change have heightened attention in recent decades to how animals respond to variation in climate and weather patterns. One difficulty in determining animal response to climate variation is lack of long-term
Externí odkaz:
https://doaj.org/article/a7274b70db1448c1a02fa048ef58b8e5
Publikováno v:
Artificial Intelligence for the Earth Systems. 2
The Multi-Radar Multi-Sensor (MRMS) system produces a suite of hydrometeorological products that are widely used for applications such as flash flood warning operations, water resource management, and climatological studies. The MRMS radar-based quan
Publikováno v:
Bulletin of the American Meteorological Society. 102:E2165-E2176
The Multi-Radar Multi-Sensor (MRMS) system is an operational, state-of-the-science hydrometeorological data analysis and nowcasting framework that combines data from multiple radar networks, satellites, surface observational systems, and numerical we
Autor:
Micheal J. Simpson, Lin Tang, Steven M. Martinaitis, Jian Zhang, Andrew P. Osborne, Stephen B. Cocks, Kenneth W. Howard
Publikováno v:
Journal of Hydrometeorology. 22:721-738
Hurricane Harvey in 2017 generated one of the most catastrophic rainfall events in United States history. Numerous gauge observations in Texas exceeded 1200 mm, and the record accumulations resulted in 65 direct fatalities from rainfall-induced flood
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
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
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
Autor:
Kenneth W. Howard
Publikováno v:
Socio-Historical Examination of Religion and Ministry. 1:310-325
Taking Jesus’ call to love our neighbors seriously requires engaging them in the neighborhoods where they live. However, neighborhoods are transforming demographically faster than ever before. If we can help congregations more quickly understand th
Autor:
Yadong Wang, Kenneth W. Howard, Lin Tang, Alexander V. Ryzhkov, Jian Zhang, Stephen B. Cocks, Pengfei Zhang
Publikováno v:
Journal of Hydrometeorology. 20:985-997
A prototype quantitative precipitation estimate (QPE) algorithm that utilizes specific attenuation A and specific differential phase KDP was developed for inclusion into the Multi-Radar Multi-Sensor (MRMS) system and the Weather Surveillance Radar-19
Autor:
Kenneth W. Howard, Brian Kaney, Pengfei Zhang, Jian Zhang, Lin Tang, Alexander V. Ryzhkov, Yadong Wang, Stephen B. Cocks, Kimberly L. Elmore
Publikováno v:
Journal of Hydrometeorology. 20:999-1014
The quantitative precipitation estimate (QPE) algorithm developed and described in Part I was validated using data collected from 33 Weather Surveillance Radar 1988-Doppler (WSR-88D) radars on 37 calendar days east of the Rocky Mountains. A key physi