Joseph P. Zagrodnik
University of Washington
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Featured researches published by Joseph P. Zagrodnik.
Journal of the Atmospheric Sciences | 2014
Joseph P. Zagrodnik; Haiyan Jiang
AbstractTropical cyclone (TC) rainfall, convection, and latent heating distributions are compiled from 14 years of Tropical Rainfall Measuring Mission (TRMM) precipitation radar overpasses. The dataset of 818 Northern Hemisphere tropical storms through category 2 hurricanes is divided by future 24-h intensity change and exclusively includes storms with at least moderately favorable environmental conditions. The rapidly intensifying (RI) category is further subdivided into an initial [RI (initial)] and continuing [RI (continuing)] category based on whether the storm is near the beginning of an RI event or has already been undergoing RI for 12 or more hours prior to the TRMM overpass. TCs in each intensity change category are combined into composite diagrams orientated relative to the environmental vertical wind shear direction. Rainfall frequency, defined as the shear-relative occurrence of PR near-surface reflectivity >20 dBZ, is most strongly correlated with future intensity change. The rainfall frequenc...
Bulletin of the American Meteorological Society | 2017
Robert A. Houze; Lynn A. McMurdie; Walter A. Petersen; Mathew R. Schwaller; William Baccus; Jessica D. Lundquist; Clifford F. Mass; Bart Nijssen; Steven A. Rutledge; David Hudak; Simone Tanelli; Gerald G. Mace; Michael R. Poellot; Dennis P. Lettenmaier; Joseph P. Zagrodnik; Angela K. Rowe; Jennifer C. DeHart; Luke E. Madaus; Hannah C. Barnes; V. Chandrasekar
OLYMPEX is a comprehensive field campaign to study how precipitation in Pacific storms is modified by passage over coastal mountains.
Journal of Applied Meteorology and Climatology | 2013
Joseph P. Zagrodnik; Haiyan Jiang
AbstractRainfall estimates from versions 6 (V6) and 7 (V7) of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) 2A25 and Microwave Imager (TMI) 2A12 algorithms are compared relative to the Next Generation Weather Radar (NEXRAD) Multisensor Precipitation Estimate stage-IV hourly rainfall product. The dataset consists of 252 TRMM overpasses of tropical cyclones from 2002 to 2010 within a 230-km range of southeastern U.S. Weather Surveillance Radar-1988 Doppler (WSR-88D) sites. All rainfall estimates are averaged to a uniform 1/7° square grid. The grid boxes are also divided by their TMI surface designation (land, ocean, or coast). A detailed statistical analysis is undertaken to determine how changes to the TRMM rainfall algorithms in the latest version (V7) are influencing the rainfall retrievals relative to ground reference data. Version 7 of the PR 2A25 is the best-performing algorithm over all three surface types. Over ocean, TMI 2A12 V7 is improved relative to V6 at high rain rate...
Journal of Geophysical Research | 2016
Nicholas E. Wayand; John Stimberis; Joseph P. Zagrodnik; Clifford F. Mass; Jessica D. Lundquist
Low-level cold air from eastern Washington often flows westward through mountain passes in the Washington Cascades, creating localized inversions and locally reducing climatological temperatures. The persistence of this inversion during a frontal passage can result in complex patterns of snow and rain that are difficult to predict. Yet, these predictions are critical to support highway avalanche control, ski resort operations, and modeling of headwater snowpack storage. In this study we used observations of precipitation phase from a disdrometer and snow depth sensors across Snoqualmie Pass, WA, to evaluate surface-air-temperature-based and mesoscale-model-based predictions of precipitation phase during the anomalously warm 2014-2015 winter. Correlations of phase between surface-based methods and observations were greatly improved (r2 from 0.45 to 0.66) and frozen precipitation biases reduced (+36% to -6% of accumulated snow water equivalent) by using air temperature from a nearby higher-elevation station, which was less impacted by low-level inversions. Alternatively, we found a hybrid method that combines surface-based predictions with output from the Weather Research and Forecasting mesoscale model to have improved skill (r2 = 0.61) over both parent models (r2 = 0.42 and 0.55). These results suggest that prediction of precipitation phase in mountain passes can be improved by incorporating observations or models from above the surface layer.
Journal of the Atmospheric Sciences | 2018
Joseph P. Zagrodnik; Lynn A. McMurdie; Robert A. Houze
AbstractThe Olympic Mountains Experiment (OLYMPEX) documented precipitation and drop size distributions (DSDs) in landfalling midlatitude cyclones with gauges and disdrometers located at various di...
97th American Meteorological Society Annual Meeting | 2017
Joseph P. Zagrodnik
Journal of the Atmospheric Sciences | 2018
Hannah C. Barnes; Joseph P. Zagrodnik; Lynn A. McMurdie; Angela K. Rowe; Robert A. Houze
Journal of Geophysical Research | 2018
Lynn A. McMurdie; Angela K. Rowe; Robert A. Houze; S. R. Brodzik; Joseph P. Zagrodnik; T. M. Schuldt
Journal of Geophysical Research | 2016
Nicholas E. Wayand; John Stimberis; Joseph P. Zagrodnik; Clifford F. Mass; Jessica D. Lundquist
17th Conference on Mountain Meteorology | 2016
Joseph P. Zagrodnik