
Evaluation of Precipitation from Numerical Weather Prediction Models and Satellites Using Values Retrieved from Radars
Author(s) -
Slavko Vasić,
Charles A. Lin,
Isztar Zawadzki,
Olivier Bousquet,
Diane Chaumont
Publication year - 2007
Publication title -
monthly weather review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.862
H-Index - 179
eISSN - 1520-0493
pISSN - 0027-0644
DOI - 10.1175/2007mwr1955.1
Subject(s) - precipitation , predictability , environmental science , numerical weather prediction , satellite , radar , meteorology , quantitative precipitation estimation , quantitative precipitation forecast , climatology , scale (ratio) , weather radar , computer science , geology , mathematics , geography , statistics , telecommunications , cartography , aerospace engineering , engineering
Precipitation is evaluated from two weather prediction models and satellites, taking radar-retrieved values as a reference. The domain is over the central and eastern United States, with hourly accumulated precipitation over 21 days for the models and radar, and 13 days for satellite. Conventional statistical measures and scale decomposition methods are used. The models generally underestimate strong precipitation and show nearly constant modest skill over a 24-h forecast period. The scale decomposition results show that the effective model resolution for precipitation is many times the grid size. The model predictability extends beyond a few hours for only the largest scales.