Open AccessIssues Regarding the Assimilation of Cloud and Precipitation Data
Author(s) -
Ronald M. Errico,
Péter Bauer,
JeanFrançois Mahfouf
Publication year - 2007
Publication title -
journal of the atmospheric sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.853
H-Index - 173
eISSN - 1520-0469
pISSN - 0022-4928
DOI - 10.1175/2006jas2044.1
Subject(s) - predictability , data assimilation , radiance , meteorology , precipitation , cloud computing , environmental science , computer science , climatology , satellite , assimilation (phonology) , representativeness heuristic , sky , quantitative precipitation forecast , remote sensing , statistics , mathematics , geology , geography , linguistics , philosophy , aerospace engineering , engineering , operating system
International audienceThe assimilation of observations indicative of quantitative cloud and precipitation characteristics is desirable for improving weather forecasts. For many fundamental reasons, it is a more difficult problem than the assimilation of conventional or clear-sky satellite radiance data. These reasons include concerns regarding nonlinearity of the required observation operators (forward models), nonnormality and large variances of representativeness, retrieval, or observation–operator errors, validation using new measures, dynamic and thermodynamic balances, and possibly limited predictability. Some operational weather prediction systems already assimilate precipitation observations, but much more research and development remains. The apparently critical, fundamental, and peculiar nature of many issues regarding cloud and precipitation assimilation implies that their more careful examination will be required for accelerating progress