Tapiador F. J., Roca R., Del Genio A., Dewitte Boris, Petersen W., Zhang F. Q. (2019). Is precipitation a good metric for model performance ?. Bulletin of the American Meteorological Society, 100 (2), p. 223-234. ISSN 0003-0007.
Titre du document
Is precipitation a good metric for model performance ?
Tapiador F. J., Roca R., Del Genio A., Dewitte Boris, Petersen W., Zhang F. Q.
Source
Bulletin of the American Meteorological Society, 2019,
100 (2), p. 223-234 ISSN 0003-0007
Precipitation has often been used to gauge the performances of numerical weather and climate models, sometimes together with other variables such as temperature, humidity, geopotential, and clouds. Precipitation, however, is singular in that it can present a high spatial variability and probably the sharpest gradients among all meteorological fields. Moreover, its quantitative measurement is plagued with difficulties, and there are even notable differences among different reference datasets. Several additional issues sometimes lead to questions about its usefulness in model validation. This essay discusses the use of precipitation for model verification and validation and the crucial role of highly precise and reliable satellite estimates, such as those from NASA's Global Precipitation Mission Core Observatory.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Sciences du milieu [021]
