Global Meteorological Forcing Dataset for land surface modeling

A global 50-yr (1948-2000) dataset of meteorological forcings derived by combining reanalysis with observations. Available at 1.0-degree spatial resolution and 3-hourly, daily and monthly temporal resolution.

Sheffield, J., G. Goteti, and E. F. Wood, 2006: Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Climate, 19 (13), 3088-3111

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Bias-Corrected and Downscaled Future Climate Global Meterological Forcing Data: 1948-2099

A global 150-yr (1948-2099) dataset of meteorological forcings derived by bias correcting and downscaling 20th century (scenario 20C3M) and 21st century future climate projections (scenario SRES A2) from the NCAR PCM climate model. The dataset is bias-corrected and downscaled using the newly developed equidistant quantile matching method (Li et al., 2010) which better represents changes in the full distribution (not just the mean change). In addition to precipitation and temperature, radiation, humidity, pressure and windspeed are also downscaled. The downsclaing is based on the observational based global forcing dataset of Sheffield et al. (2006) listed above. Available at 1.0-degree spatial resolution and 3-hourly temporal resolution.

Li, H., J. Shefffield, and E. F. Wood, 2010: Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching, J. Geophys. Res., 115, D10101, DOI:10.1029/2009JD012882.

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Soil Moisture retrievals from TMI

A surface soil moisture dataset for the southern United States using measurements from TMI and a land surface microwave emission model at 1/8th degree resolution for 1998-2004.

Gao, H., Wood, E. F., Jackson, T. J., Drusch, M., and Bindlish, R., 2006: Using TRMM/TMI to retrieve surface soil moisture over the southern United States from 1998 to 2002. J. Hydrometeorology, 7(1), 23-38, DOI: 10.1175/JHM473.1

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Ensemble Meteorological Forcing Dataset for the Southeast U.S.

A daily atmospheric forcing dataset over the Southeast U.S. generated from the seasonal hydrologic ensemble prediction system. The forcing variables are: precipitation, daily maximum temperature and daily minimum temperature, average wind speed. This dataset contains 6-month forcing starting from the beginning of each month from 1981 to 1999. Two types of forcing are included: the CFS-based and the ESP-based. Both of them are used for seasonal hydrological predictions, but their forecast skills are different.

Luo, L., E. F. Wood, and M. Pan (2007), Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions,J. Geophys. Res.,112, D10102, doi:10.1029/2006JD007655.

Luo, L., and E. F. Wood, Seasonal Hydrologic Prediction with the VIC Hydrologic Model for the Ohio River Basin. in preparation for J. Hydromet.

Luo, L., and E. F. Wood, Monitoring and Prediction of the 2007 U.S Drought. Geophys. Res. Lett., 34, L22702, doi:10.1029/2007GL031673

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