Janice Bytheway
Position
Research Scientist II
Department
Physical Sciences Laboratory
Contact
303-497-5870
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Research Interests
My research focuses on quantitative precipitation estimates and forecasts (QPE and QPF) at high spatial and temporal resolution. My work typically focuses on the complex terrain of the western US, where orographic effects present a variety of challenges to both in situ and remotely sensed observations. By understanding how the terrain effects the reliability of QPE products, we can apply this knowledge when using these products to evaluate precipitation forecasts from high resolution forecast models.
View Publications
- Cifelli R; Chandrasekar V; Herdman L; Turner DD; White AB; Alcott TI; Anderson M; Barnard P; Biswas SK; Boucher M. (Oct 2022). Advanced Quantitative Precipitation Information: Improving Monitoring and Forecasts of Precipitation, Streamflow, and Coastal Flooding in the San Francisco Bay Area. Bulletin of the American Meteorological Society. 10.1175/bams-d-21-0121.1
- Bytheway JL; Hughes M; Cifelli R; Mahoney K; English JM. (Jan 2022). Demonstrating a Probabilistic Quantitative Precipitation Estimate for Evaluating Precipitation Forecasts in Complex Terrain. Weather and Forecasting , 37(1), 45-64. 10.1175/waf-d-21-0074.1
- English JM; Turner DD; Alcott TI; Moninger WR; Bytheway JL; Cifelli R; Marquis M. (Sep 2021). Evaluating Operational and Experimental HRRR model forecasts of Atmospheric River events in California. Weather and Forecasting. 10.1175/waf-d-21-0081.1
- Bytheway JL; Hughes M; Mahoney K; Cifelli R. (May 2020). On the Uncertainty of High-Resolution Hourly Quantitative Precipitation Estimates in California. Journal of Hydrometeorology , 21(5), 865-879. 10.1175/jhm-d-19-0160.1
- Bytheway, JL; Hughes, M; Mahoney, K; Cifelli, R. (Mar 2019). A Multiscale Evaluation of Multisensor Quantitative Precipitation Estimates in the Russian River Basin. JOURNAL OF HYDROMETEOROLOGY , 20(3). 10.1175/JHM-D-18-0142.1
- Bytheway, JL and CD Kummerow. (Jan 2018). Consistency Between Convection Allowing Model Output and Passive Microwave Satellite Observations. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES , 123(2). 10.1002/2017JD027527
- Zhang Y; Pan M; Sheffield J; Siemann AL; Fisher CK; Liang M; Beck HE; Wanders N; MacCracken RF; Houser PR. (Jan 2018). A Climate Data Record (CDR) for the global terrestrial water budget: 1984-2010. Hydrology and Earth System Sciences , 22(1), 241-263. 10.5194/hess-22-241-2018
- Bytheway, JL, CD Kummerow and C Alexander. (Oct 2017). A Features-Based Assessment of the Evolution of Warm Season Precipitation Forecasts from the HRRR Model over Three Years of Development. WEATHER AND FORECASTING , 32(5). 10.1175/WAF-D-17-0050.1
- Bytheway JL; Kummerow CD. (Sep 2015). Toward an object-based assessment of high-resolution forecasts of long-lived convective precipitation in the central US. Journal of Advances in Modeling Earth Systems , 7(3), 1248-1264. 10.1002/2015MS000497
- Bytheway JL; Kummerow CD. (Sep 2013). Inferring the uncertainty of satellite precipitation estimates in data-sparse regions over land. Journal of Geophysical Research: Atmospheres , 118(17), 9524-9533. 10.1002/jgrd.50607
- Vonder Haar TH; Bytheway JL; Forsythe JM. (Aug 2012). Weather and climate analyses using improved global water vapor observations. Geophysical Research Letters , 39. 10.1029/2012GL052094
- Bytheway JL; Kummerow CD. (Jan 2010). A Physically Based Screen for Precipitation Over Complex Surfaces Using Passive Microwave Observations. IEEE Transactions on Geoscience and Remote Sensing , 48(1), 299-313. 10.1109/TGRS.2009.2027434
