volume 110, issue D6, Pn/a-n/a 2005
DOI: 10.1029/2004jd005434
View full text
|
|
Share

Abstract: [1] As most variables describing the state of the surface are not directly observable, we have to use land surface models in order to reconstruct an estimate of their evolution. These large-scale land surface models often require high-quality forcing data with a subdiurnal sampling. Building these data sets is a major challenge but an essential step for estimating the land surface water budget, which is a crucial part of climate change prediction. To study the interannual variability of surface conditions ove…

expand abstract