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| Guo, Z.; Dirmeyer, P.A.; Gao, X.. |
| The characteristics of eight global soil wetness products, three produced by land surface model calculations, three from coupled land-atmosphere model reanalyses, and two from microwave remote sensing estimates, have been examined. The goal of this study is to determine whether there exists an optimal data set for the initialization of the land surface component of global weather and climate forecast models. We validate their abilities to simulate the phasing of the annual cycle and to accurately represent interannual variability in soil wetness by comparing to available in situ measurements. Because soil wetness climatologies vary greatly among land surface models, and models have different operating ranges for soil wetness (i.e., very different mean... |
| Tipo: Report |
Palavras-chave: Terrestrial atmosphere; Soil atmosphere; Http://aims.fao.org/aos/agrovoc/c_33551. |
| Ano: 2004 |
URL: http://hdl.handle.net/1834/510 |
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| Dirmeyer, P.A.. |
| Skill in ensemble-mean dynamical seasonal climate hindcasts with a coupled land-atmosphere model and specified observed sea surface temperature is compared to that for long multi-decade integrations of the same model where the initial conditions are far removed from the seasons of validation. The evaluations are performed for surface temperature and compared among all seasons. Skill is found to be higher in the seasonal simulations than the multi-decadal integrations except during boreal winter. The higher skill is prominent even beyond the first month when the direct influence of the atmospheric initial state elevates model skill. Skill is generally found to be lowest during the winter season for the dynamical seasonal forecasts, equal to that of the long... |
| Tipo: Journal Contribution |
Palavras-chave: Atmosphere-ocean system. |
| Ano: 2002 |
URL: http://hdl.handle.net/1834/500 |
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