The University of Texas at Austin
The Jackson School of Geosciences

CURRICULUM VITAE
Paul L. Stoffa

Professor
The Institute of Geophysics (UTIG)

Shell Distinguished Chair in Geophysics
The Department of Geological Sciences (DGS)

Climate Related Research Papers

Mu, Q., C.S. Jackson, and P.L. Stoffa, 2004, A multivariate empirical-orthogonal-function-based measure of climate model performance.  J Geophys Res 109, D15101.

Xia, Y., Z.-L. Yang, P.L. Stoffa, and M.K. Sen, 2005, Using different hydrological variables to assess the impacts of atmospheric forcing errors on optimization and uncertainty analysis of the CHASM surface model at a cold catchment.  J Geophys Res, 110, D01101, doi:10.1029/2004JD005130.

Xia, Y., Z.-L. Yang, P.L. Stoffa, and M.K. Sen, 2005, Optimal parameter and uncertainty estimation of a land surface model:  Sensitivity to parameter ranges and model complexities.  Advances Atmospheric Science, 22(1), 142-157.

Xia, Y., M.K. Sen, C. Jackson, and P.L. Stoffa, 2004, Multidataset study of optimal parameter and uncertainty estimation of a land surface model with Bayesian stochastic inversion and multicriteria method, J Applied Meteorology, 43(10), 1477-1497.

Jackson, C., M.K. Sen, and P.L. Stoffa, 2004, An efficient stochastic Bayesian approach to optimal parameter and uncertainty estimation within climate system models, J of Climate, 17, 2828-2841.

Xia, Y., Z.-L. Yang, C. Jackson, P.L. Stoffa, and M.K. Sen, 2004, Impacts of data length on optimal parameter and uncertainty estimation of a land surface model.  J Geophys Res, 109, No. D7, D07101 10.1029/2003JD004419.

Xia, Y., P.L. Stoffa, C. Jackson, and M. Sen, 2003, Effect of forcing data errors on calibration and uncertainty estimates of the CHASM model:  a multi-dataset study.  Observations, Theory, and Modeling of Atmospheric and Oceanic Variability, World Scientific Series on Meteorology of East Asia, Vol 3, 340-355, World Scientific Publishing Corporation, Singapore.

Jackson, C., Y. Xia, M.K. Sen, and P.L. Stoffa, 2003, Optimal parameter and uncertainty estimation of a land surface model:  A case study using data from Cabauw, Netherlands, J. Geophysical Research, 108(D18), 4583.