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

Putt, D., Haines, K. ORCID: https://orcid.org/0000-0003-2768-2374, Gurney, R. J. and Liu, C. L. (2009) Land surface anomaly simulations and predictions with a climate model: an El Nino Southern Oscillation case study. Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 367 (1890). pp. 799-1056. ISSN 1364-503X doi: 10.1098/rsta.2008.0182

Abstract/Summary

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 Nino 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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/1751
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology Science > School of Mathematical, Physical and Computational Sciences > Environmental Systems Science Centre Interdisciplinary centres and themes > Soil Research Centre
Publisher	Royal Society
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