Bioclimate.org: Land surface anomaly simulations and predictions with a climate model: an El-Nino Southern Oscillation case study

Authors	Putt D. , Haines K. , Gurney R. , Liu C.
Source	Philosophical Transaction of the Royal Society A (8)
Type	P - Paper (2851)
Peer Review	1 - High (2301)
Audience	S - Specialist (3514)
Pages	917-923
Journal Number	367
Notes	Abstract The ability of climate models to reproduce and predict land surface anomalies is an important but little-studied topic. In this study, an atmosphere and ocean assimilation scheme is used to determine whether HadCM3 can reproduce and predict snow water equivalent and soil moisture during the 1997–1998 El Niño Southern Oscillation event. Soil moisture is reproduced more successfully, though both snow and soil moisture show some predictability at 1- and 4-month lead times. This result suggests that land surface anomalies may be reasonably well initialized for climate model predictions and hydrological applications using atmospheric assimilation methods over a period of time.