Assimilating synthetic hyperspectral sounder temperature and humidity retrievals to improve severe weather forecasts

Atmospheric Research

Volumn 186, Issue , 2017, Pages 9-25

  Jones, Thomas A ^a,b   Koch, Steven ^b   Li, Zhenglong ^c  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Ensemble data assimilation; Hyperspectral sounders; OSSE; Storm scale data assimilation

Indexed keywords

ACOUSTIC DEVICES; COST ENGINEERING; GEOSTATIONARY SATELLITES; ORBITS; STORMS; TROPOSPHERE; WEATHER INFORMATION SERVICES;

DATA ASSIMILATION; ENSEMBLE ADJUSTMENT KALMAN FILTER; ENSEMBLE DATA ASSIMILATION; HYPERSPECTRAL; HYPERSPECTRAL OBSERVATIONS; MEAN AND STANDARD DEVIATIONS; NUMERICAL WEATHER PREDICTION MODELS; OSSE;

WEATHER FORECASTING;

AIR TEMPERATURE; ATMOSPHERIC CONVECTION; DATA ASSIMILATION; ENSEMBLE FORECASTING; ENVIRONMENTAL CHANGE; KALMAN FILTER; RELATIVE HUMIDITY; SEVERE WEATHER; SPECTRAL ANALYSIS; WEATHER FORECASTING;

EID: 84995922988     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2016.11.004     Document Type: Article

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