Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Heather D. Reeves"'
Publikováno v:
Weather, Climate, and Society. 14:835-848
Winter-weather conditions pose an extreme hazard to motorists, resulting in approximately 1000 fatalities annually on U.S. roadways. Minimizing adverse impacts of winter weather requires (i) the identification of hazardous weather conditions leading
Publikováno v:
Weather and Forecasting. 35:1845-1863
In this study, a machine learning algorithm for generating a gridded CONUS-wide probabilistic road temperature forecast is presented. A random forest is used to tie a combination of HRRR model surface variables and information about the geographic lo
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 36:2483-2500
A variational retrieval of rain microphysics from polarimetric radar data (PRD) has been developed through the use of S-band parameterized polarimetric observation operators. Polarimetric observations allow for the optimal retrieval of cloud and prec
Autor:
Chong-chi Tong, Yan Zhang, Mark E. Weber, Pamela L. Heinselman, Caleb Fulton, Richard L. Ice, Ming Xue, Greg M. McFarquhar, Petar Bukovcic, Dusan S. Zrnic, Guifu Zhang, Pengfei Zhang, Jothiram Vivekanandan, Heather D. Reeves, Andrew D. Byrd, Daniel S. Berkowitz, Jidong Gao, Qing Cao, Berrien Moore, Robert D. Palmer, Vivek N. Mahale, Richard J. Doviak, Alexander V. Ryzhkov, Jian Zhang, Youngsun Jung, Youcun Qi, Bryan J. Putnam, Yasser Al-Rashid
Publikováno v:
Advances in Atmospheric Sciences. 36:571-588
After decades of research and development, the WSR-88D (NEXRAD) network in the United States was upgraded with dual-polarization capability, providing polarimetric radar data (PRD) that have the potential to improve weather observations, quantificati
Autor:
Heather D. Reeves, Jacqueline Waters
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:165-183
This is a feasibility study on the use of dual-polarized radars to infer icing in terminal airspaces (TASs) of commercial airports. The amount and quality of radar coverage in each TAS is quantified as a function of its location, traffic, and vulnera
Autor:
Heather D. Reeves
Publikováno v:
Weather and Forecasting. 31:1961-1971
Herein, an evaluation of the uncertainty of precipitation-type observations and its effect on the validation of forecast precipitation type is undertaken. The forms of uncertainty are instrument/observer bias and horizontal/temporal variability. Inst
Publikováno v:
Journal of Applied Meteorology and Climatology. 55:1747-1761
A new approach for distinguishing precipitation types at the surface, the spectral bin classifier (SBC), is presented. This algorithm diagnoses six categories of precipitation: rain (RA), snow (SN), a rain–snow mix (RASN), freezing rain (FZRA), ice
Autor:
Silke Trömel, Matthew R. Kumjian, Timo Tschallener, Heather D. Reeves, Pengfei Zhang, Clemens Simmer, Alexander V. Ryzhkov
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 33:551-562
A novel methodology is introduced for processing and presenting polarimetric data collected by weather surveillance radars. It involves azimuthal averaging of radar reflectivity Z, differential reflectivity ZDR, cross-correlation coefficient ρhv, an
Publikováno v:
Journal of Applied Meteorology and Climatology. 54:1177-1190
Six forecasts of a lake-effect-snow event off Lake Erie were conducted using the Weather Research and Forecasting Model to determine how the quantitative precipitation forecast (QPF) was affected when the boundary- and surface-layer parameterization
Publikováno v:
Weather and Forecasting. 30:656-667
In winter weather, precipitation type is a pivotal characteristic because it determines the nature of most preparations that need to be made. Decisions about how to protect critical infrastructure, such as power lines and transportation systems, and