Open AccessToward the improvement of short‐range forecasts by the analysis of cloud variables from IASI radiances
Author(s) -
Martinet Pauline,
Fourrié Nadia,
Bouteloup Yves,
Bazile Eric,
Rabier Florence
Publication year - 2014
Publication title -
atmospheric science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 45
ISSN - 1530-261X
DOI - 10.1002/asl2.510
Subject(s) - environmental science , meteorology , cloud computing , numerical weather prediction , depth sounding , range (aeronautics) , climatology , atmospheric sciences , geography , computer science , geology , engineering , cartography , aerospace engineering , operating system
The use of the Infrared Atmospheric Sounding Interferometer ( IASI ) to improve short‐range forecasts by the analysis of cloud variables is presented. After the retrieval of cloud microphysical variables, a one‐dimensional ( 1D ) version of the French convective scale model AROME is used here to discuss the persistence of the cloudy increment in the numerical weather prediction ( NWP ) model. The analysis of cloud variables is shown to significantly improve the forecasts of cloud variables, temperature and humidity during 3 h. This maintenance of the cloud information in the NWP model is expected to have a high impact on the forecasts of clouds and heavy rainfall events.