Terrestrial Hydrology Research Group

Princeton University




  1. Coccia, G., Siemann, A.L., Pan, M., Wood, E.F., 2015: Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS. Remote Sensing of Environment, 170, pp. 290-305.
  2. Chaney, N. W., J. D. Herman, P. M. Reed, E. F. Wood, 2015: Flood and Drought Hydrologic Monitoring: The Role of Model Parameter Uncertainty. Hydrology and Earth System Sciences, 19 3239-3251.
  3. Wanders, N., Pan, M., Wood, E.F., 2015: Correction of real-time satellite precipitation with multi-sensor satellite observations of land surface variables. Remote Sensing of Environment, 160, pp. 206-221.
  4. Wood, E.F., Schubert, S.D., Wood, A.W., Peters-Lidard, C.D., Mo, K.C., Mariotti, A., Pulwarty, R.S., 2015: Prospects for advancing drought understanding, monitoring, and prediction. Journal of Hydrometeorology, 16 (4), pp. 1636-1657.
  5. Chaney, N.W., Roundy, J.K., Herrera-Estrada, J.E., Wood, E.F., 2015: High-resolution modeling of the spatial heterogeneity of soil moisture: Applications in network design. Water Resources Research, 51 (1), pp. 619-638.
  6. Guan, K., M. Pan, H. Li, A. Wolf, J. Wu, D. Medvigy, K. Caylor, J. Sheffield, E. Wood, Y. Malhi, M. Liang, J. Kimball, S. Saleska, J. Berry, J Joiner, and A. Lyapustin, 2015: Photosynthetic seasonality of global tropical forests constrained by hydroclimate. Nature Geosciences, doi:10.1038/ngeo2382.
  7. Roundy, J.K., Wood, E.F., 2015: The attribution of land-atmosphere interactions on the seasonal predictability of drought. Journal of Hydrometeorology, 16 (2), pp. 793-810.
  8. Roundy, J.K., Yuan, X., Schaake, J., Wood, E.F., 2015: A framework for diagnosing seasonal prediction through canonical event analysis. Monthly Weather Review, 143 (6), pp. 2404-2418.
  9. Sahoo, A.K., Sheffield, J., Pan, M., Wood, E.F., 2015: Evaluation of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) for assessment of large-scale meteorological drought. Remote Sensing of Environment, 159, pp. 181-193.


  1. Roundy, J. K., C. R. Ferguson, and E. F. Wood, 2014: Impact of land-atmosphere coupling in CFSv2 on drought prediction, Climate Dynamics, 43, 421-434.
  2. Estes, L.D., Chaney, N.W., Herrera-Estrada, J., Sheffield, J., Caylor, K.K., Wood, E.F., 2015: Changing water availability during the African maize-growing season, 1979-2010. Environmental Research Letters, doi:10.1088/1748-9326/9/7/075005.
  3. Greve, P., B. Orlowsky, B. Müller, J. Sheffield, M. Reichstein, and S. Seneviratne, 2014: Global assessment of trends in wetting and drying over land, Nature Geosciences, doi:10.1038/ngeo2247.
  4. Yuan, X., E. F. Wood, and M. Liang, 2014: Integrating weather and climate prediction: towards seamless hydrologic forecasting. Geophys. Res. Lett., DOI: 10.1002/2014GL061076.
  5. Kam, J., J. Sheffield, and E. F. Wood, 2014, Changes in Drought Risk over the Contiguous United States (1901-2012): The Influence of the Pacific and Atlantic Oceans, Geophys. Res. Lett., DOI: 10.1002/2014GL060973.
  6. Guan, K., E. F. Wood, D. Medvigy, J. Kimball, M. Pan, K. Caylor, J. Sheffield, X. Xu, M. Jones, 2013: Terrestrial hydrological controls on land surface phenology of African savannas and woodlands. Journal of Geophysical Research - Biogeoscience, DOI: 10.1002/2013JG002572.
  7. Nijssen, B., S. Shukla, C. Lin, H. Gao, T. Zhou, J. Sheffield, E. F. Wood, and D. P. Lettenmaier, 2013: A prototype Global Drought Information System based on multiple land surface models, J. Hydrometero., 15, 1661-1676.
  8. Kam, J, J. Sheffield, and E. F. Wood, 2014: A Multi-Scale Analysis of Drought and Pluvial Mechanisms for the Southeastern United States, J. Geophys. Res.-Atmos., 119, 7348-7367.
  9. Chaney, N. W., J. Sheffield, G. Villarini, and E. F. Wood, 2014: Development of a High Resolution Gridded Daily Meteorological Data Set over Sub-Saharan Africa: Spatial Analysis of Trends in Climate Extremes. J. Climate, 27, 5815-5835.
  10. Xia, Y., M. Ek, C. Peters-Lidard, D. Mocko, M. Svoboda, J. Sheffield, and E. F. Wood: 2014: Application of USDM Statistics in NLDAS-2: Optimal Blended NLDAS Drought Index Over the Continental United States. J. Geophys. Res., 119, 2947-2965.
  11. Ershadi, A., M. F. McCabe, J. P. Evans, N. W. Chanet, E. F. Wood, 2014, Multi-site evaluation of terrestrial evaporation models using FLUXNET data, Agricultural and Forest Meteorlogy, 187, 46-61.
  12. Aizhong, Y., Q. Duan, X. Yuan, E. F. Wood, J. Schaake, 2014, Hydrologic post-processing of MOPEX streamflow simulations, J. of Hydrol., 508, 147-156.
  13. Leroux, D. J., Y. H. Kerr, E. F. Wood, A. K. Sahoo, R. Bindlish, T. J. Jackson, 2014, An Approach to Contruction a Homogeneous Time Series of Soil Moisture Using SMOS, IEEE Transactions on Geoscience and Remote Sensing, 52, 393-405.
  14. Maloney, E. D., S. J. Camargo, E. Chang, B. Colle, R. Fu, K. L. Geilw, Q. Hu, X. Jiang, N. Johnson, K. B. Karnauskas, J. Kinter, B. Kirtman, S. Kumar, B. Langenbrunner, K. Lombardo, L. Long, A. Mariotti, J. E. Meyerson, K. Mo, J. D. Neelin, Z. Pan, R. Seager, Y. Serraw, A. Seth, J. Sheffield, J. Thibeault, S.-P. Xie, C. Wang, B. Wyman, and M. Zhao, 2011: North American Climate in CMIP5 Experiments: Part III: Assessment of 21st Century Projections, 2014, J. Climate, 27, 2230-2270.
  15. Kam, J., J. Sheffield, X. Yuan, and E.F. Wood, 2014: Did a skillful prediction of sea surface temperatures help or hinder forecasting of the 2012 Midwestern US drought?, Environ. Res. Lett., 9, 034005, doi:10.1088/1748-9326/9/3/034005.
  16. Sheffield, J., E. F. Wood, N. Chaney, K. Guan, S. Sadri, X. Yuan, L. Olang, A. Amani, A. Ali, and S. Demuth, 2014; A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security. Bull. Am. Met. Soc., 95, 861-882.
  17. Lichstein, J. L., N.-Z. Golaz, S. Malyshev, E. Shevliakova, T. Zhang, J. Sheffield, R. A. Birdsey, J. L. Sarmiento, and S. W. Pacala, 2014: Confronting terrestrial biosphere models with forest inventory data. Ecological Applications, 24, 699-715.
  18. Wuebbles, D., G. Meehl, K. Hayhoe, T. R. Karl, K. Kunkel, B. Santer, M. Wehner, B. Colle, E. M. Fischer, R. Fu, A. Goodman, E. Janssen, H. Lee, W. Li, L. N. Long, S. Olsen, A. Seth, J. Sheffield, and L. Sun, 2014: CMIP5 Climate Model Analyses: Climate Extremes in the United States. Bull. Amer. Meteor. Soc., 95, 571-583.
  19. Manfreda, S., L. Brocca, T. Moramarco, F. Melone, and J. Sheffield, 2014: A physically based approach for the estimation of root-zone soil moisture from surface measurements, Hydrol. Earth Syst. Sci. , 18, 1199-1212.
  20. Xia, Y., J. Sheffield, M. B. Ek, J. Dong, N. Chaney, H. Wei, J. Meng, E. F. Wood, 2014: Evaluation of multi-model simulated soil moisture in NLDAS-2. J. Hydrology, 512, 107-125, doi:10.1016/j.jhydrol.2014.02.027.
  21. Wang, S., J. Huang, J. Li, A. Rivera, D. W. McKenney, and J. Sheffield, 2014: Assessment of water budget for sixteen large drainage basins in Canada. J. of Hydrol..
  22. Guan, K., D. Medvigy, E.F. Wood, K.K. Caylor, S. Li, and S.J. Jeong, 2014: Deriving Vegetation Phenological Time and Trajectory Information Over Africa Using SEVIRI Daily LAI. IEEE Trans. Geosci. Remote Sensing, 52, 1113-1130, doi:10.1109/TGRS.2013.2247611.
  23. Pan, M., A. K. Sahoo, and E. F. Wood, 2014: Improving soil moisture retrievals from a physically-based radiative transfer model. Remote Sens. Env., 140, 130-140, doi:10.1016/j.rse.2013.08.020.
  24. Kumar, S., D. M. Lawremce, P. A. Diremeyer, and J. Sheffield, 2014: Less reliable water availability in the 21st century porjected climate. Earth's Future, doi:10.1002/2013EF000159.
  25. Trenberth, K. E., J. Barichivich. A. Dai, P. D. Jones, G. van der Schrier, J. Sheffield, and K. R. Briffa, 2014: Global warming and changes in drought. Nature Climate Change, 4, doi:10.1038/nclimate2067.


  1. Pan, M., and E. F. Wood, 2013: Inverse streamflow routing. Hydrol. Earth Syst. Sci., 17(11), 4577-4588, doi:10.5194/hess-17-4577-2013.
  2. Yuan, X., and E. F. Wood, 2013: Multimodel seasonal forecasting of global drought onset. Geophys. Res. Lett., 40, 4900-4905, doi:10.1002/grl.50949.
  3. Yuan, X., E. F. Wood, N. W. Chaney, J. Sheffield, J. Kam, M. Liang, and K. Guan, 2013: Probabilistic Seasonal Forecasting of African Drought by Dynamical Models. J. Hydrometeor., 14, 1706-1720, doi:10.1175/JHM-D-13-054.1.
  4. Yuan, X., E. F. Wood, J. K. Roundy, and M. Pan, 2013: CFSv2-based seasonal hydroclimatic forecasts over conterminous United States. J. Climate, 26, 4828-4847, doi:10.1175/JCLI-D-12-00683.1.
  5. Pan, M., X. Yuan, and E. F. Wood, 2013: A Probabilistic Framework for Assessing Drought Recovery. Geophys. Res. Lett., 40, 3637-3642, doi:10.1002/grl.50728.
  6. Qin, P., Z. Xie, and X. Yuan, 2013: Incorporating groundwater dynamics and surface/subsurface runoff mechanisms in regional climate modeling over river basins in China. Adv. Atmos. Sci., 30, 983-996, doi:10.1007/s00376-012-2095-7.
  7. Mueller, B., Hirschi, M., Jimenez, C., Ciais, P., Dirmeyer, P. A., Dolman, A. J., Fisher, J. B., Jung, M., Ludwig, F., Maignan, F., Miralles, D., McCabe, M. F., Reichstein, M., Sheffield, J., Wang, K. C., Wood, E. F., Zhang, Y., and Seneviratne, S. I.: Benchmark products for land evapotranspiration: LandFlux-EVAL multi-dataset synthesis, Hydrol. Earth Syst. Sci. Discuss., 10, 769-805, doi:10.5194/hessd-10-769-2013, 2013.
  8. Sheffield, J., A. Barrett, B. Colle, R. Fu, K. L. Geil, Q. Hu, J. Kinter, S. Kumar, B. Langenbrunner, K. Lombardo, L. N. Long, E. Maloney, A. Mariotti, J. E. Meyerson, K. C. Mo, J. D. Neelin, Z. Pan, A. Ruiz-Barradas, Y. L. Serra, A. Seth, J. M. Thibeault, and J. C. Stroeve, 2013: North American Climate in CMIP5 Experiments. Part I: Evaluation of historical simulations of continental and regional climatology. J. Climate, 26 (23), 9209-9245.
  9. Sheffield, J., S. J. Camargo, B. Colle, Q. Hu, X. Jiang, N. Johnson, S. Kumar, K. Lombardo, B. Langenbrunner, E. Maloney, J. E. Meyerson, J. D. Neelin, Y. L. Serra, D.-Z. Sun, C. Wang, S.-P. Xie, J.-Y. Yu, T. Zhang, 2013: North American Climate in CMIP5 Experiments: Part II: Evaluation of historical simulations of intra-seasonal to decadal variability, J. Climate, 26 (23), 9247-9290.
  10. Marjolein van Huijgevoort, Pieter Hazenberg, Henny van Lanen, Ryan Teuling, Douglas Clark, Sonja Folwell, Simon Gosling, Naota Hanasaki, Jens Heinke, Sujan Koirala, Tobias Stacke, Frank Voss, Justin Sheffield, Remko Uijlenhoet, 2013: Global multi-model analysis of drought in runoff for the second half of the 20th century, J. Hydrometeor., 14, 1535–1552. doi: http://dx.doi.org/10.1175/JHM-D-12-0186.1
  11. Pozzi, W., J. Sheffield, R. Stefanski, D. Cripe, R. Pulwarty, et al., 2013: Towards Global Drought Early Warning Capability: Expanding international cooperation for the development of a framework for global drought monitoring and forecasting. Bull. Amer. Meteor. Soc., 94, 776–785, doi: http://dx.doi.org/10.1175/BAMS-D-11-00176
  12. van Dijk, A., J. Peña-Arancibia, E. F. Wood, J. Sheffield, H. Beck, 2013: Seasonal streamflow predictability: skill of a global ensemble streamflow prediction system assessed for 6192 small catchments worldwide, Water. Resour. Res., 49, 2729–2746, doi:10.1002/wrcr.20251.
  13. Diao, M., L. Jumbam, J. Sheffield, E. F. Wood, and M. A. Zondlo, 2013: Validation of AIRS/AMSU-A water vapor and temperature data with in situ aircraft observations from surface to UT/LS at 87°N–67°S. J. Geophys. Res., 118, doi:10.1002/jgrd.50483
  14. Shukla, S., Sheffield, J., Wood, E. F., and Lettenmaier, D. P., 2013: On the sources of global land surface hydrologic predictability, Hydrol. Earth Syst. Sci. Discuss., 10, 1987-2013, doi:10.5194/hessd-10-1987-2013
  15. Kam, J., J. Sheffild, X. Yuan, and E. F. Wood, 2013: The Influence of Atlantic Tropical Cyclones on Drought over the Eastern United States (1980-2007). J. Climate., 26, 3067-3086, doi:10.1175/JCLI-D-12-00244.1.
  16. Xia, Y., M. EK, J. Sheffield, B. Livneh, M. Hunag, H. Wei, S. Feng, L. Luo, J. Meng, and E. Wood, 2013: Validation of Noah-simulated Soil temperature in the North Americ Land Data Assimilation System Phase 2. J. Applied Meteorology and Climatology, 52, 455-471, doi:10.1175/JAMC-D-12-033.1.
  17. Demaria, E. M. C., E. P Maurer, J. Sheffield, E. Bustos, D. Poblete, S. Vicuña, and F. Meza, 2013: Using a girdded global data set to characterize regional hydroclimate in central Chile. J. Hydrometeorology, 14(1), 251-265, doi:10.1175/JHM-D-12-047.1.
  18. Douville, H., A. Ribes, B. Decharme, R. Alkama, and J. Sheffield, 2013: Anthropogenic influence on multi-decadal changes in reconstructed global evapotranspiration, Nature Climate Change, 3, 59-62, doi:10.1038/nclimate1632.
  19. Roundy, J.K., Ferguson,C.R., and Wood, E.F. (2013). Temporal Variability of Land-Atmosphere Coupling and Its Implications for Drought over the Southeast United States. Journal of Hydrometeorology, 14(2), 622-635, doi:10.1175/JHM-D-12-090.1.
  20. Guan, K., A. Wolf, D. Medvigy, K. K. Caylor, M. Pan, and E. F. Wood. 2013. Seasonal coupling of canopy structure and function in African tropical forests and its environmental controls, Ecosphere, 4(3), doi:10.1890/ES12-00232.1.


  1. Sheffield, J., E. F. Wood, and M. L. Roderick, 2012: Little change in global drought over the past 60 years. Nature, 491, 435-438. doi:10.1038/nature11575.
  2. Guan, K., E. F. Wood and K. K. Caylor, 2012, Multi-sensor derivation of regional vegetation fractional cover in Africa, Remote Sens. Env., 124, 653-665, doi:10.1016/j.rse.2012.06.005.
  3. Pan, M., A. K. Sahoo, T. J. Troy, R. Vinukollu, J. Sheffield, and E. F. Wood, 2012: Multi-source estimation of long-term Terrestrial Water Budget for major gloabl river basins. J. Climate, 25, 3191-3206, doi:10.1175/JCLI-D-11-00300.1.
  4. Sheffield, J., B. Livneh, and E. F. Wood, 2012: Representation of terrestrial hydrology and large scale drought of the Continental U.S. from the North American Regional Reanalysis, J. Hydrometeorology, 13, 856-876, doi:10.1175/JHM-D-11-065.1.
  5. Wood, E. F., J. K. Roundy, T. J. Troy, R. van Beek, M. Bierkens, E. Blyth, A. de Roo, P. Doell, M. Ek, J. Famiglietti, D. Gochis, N. van de Giesen, P. Houser, P. Jaffe, S. Kollet, B. Lehner, D. P. Lettenmaier, C. Peters-Lidard, M. Sivapalan, J. Sheffield, A. Wade, P. Whitehead, 2012, Reply to comment by Keith J. Beven and Hannah L. Cloke on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water”, Water Resour. Res., 48, W01802, doi:10.1029/2011WR011202.
  6. Yuan, X., and E. F. Wood, 2012: On the clustering of climate models in ensemble seasonal forecasting. Geophys. Res. Lett., 39, L18701, doi:10.1029/2012GL052735.
  7. Yuan, X., X.-Z. Liang, and E. F. Wood, 2012: WRF ensemble downscaling seasonal forecasts of China winter precipiation during 1982-2008. Clim. Dyn., 39, 2041-2058, doi:10.1007/s00382-011-1241-8.
  8. Liang, X.-Z., M. Xu, X. Yuan, T. Ling, H. I. Choi, F. Zhang, L. Chen, S. Liu, S. Su, F. Qiao, Y. He, J. X. L. Wang, K. E. Kunkel, W. Gao, E. Joseph, V. Morris, T.-W. Yu, J. Dudhia, and J. Michalakes, 2012: Regional Climate-Weather Research and Forecasting Model (CWRF). Bull. Amer. Meteor. Soc., 93, 1363-1387, doi:10.1175/BAMS-D-11-00180.1.
  9. Yuan, X., and E. F Wood, 2012, 2012: Downscaling precipitation or bias-correcting streamflow? Some implications for coupled general circulation model (CGCM)-based ensemble seasonal hydrologic forecast. Water Resour. Res., 48, W12519, doi:10.11029/2012WR012256.
  10. Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. F. Wood, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, D. Lettenmaier, V. Koren, Q. Duan, K. Mo, Y. Fan, D. Mocko, 2012: Continental-Scale Water and Energy Flux Analysis and Validation for the North American Land Data Assimilation System Project Phase 2 (NLDAS-2): 1. Intercomparison and Application of Model Products, J. Geophys. Res., 117, D03109, doi:10.1029/2011JD016048.
  11. Xia, Y., K. Mitchell, M. Ek, B. Cosgrove, J. Sheffield, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, Q. Duan, D. Lohmann, 2012: Continental-Scale Water and Energy Flux Analysis and Validation for North American Land Data Assimilation System Project Phase 2 (NLDAS-2): 2. Validation of Model-Simulated Streamflow, J. Geophys. Res., 117, D03110, doi:10.1029/2011JD016051.
  12. Vinukollu, R. K., J. Sheffield, E. F. Wood, M. Bosilovich, and D. Mocko, 2012: Multimodel analysis of Energy and Water Fluxes: Intercomparisons between Operational Analyses, a Land Surface Model and Remote Sensing, Journal of Hydromet., 13(1), 3-26, doi:10.1175/2011JHM1372.1.


  1. Ferguson, C.R. and E.F. Wood, 2011: Observed land-atmosphere coupling from satellite remote sensing and reanalysis, Journal of Hydromet., 12(6), 1221-1254, doi: 10.1175/2011JHM1380.1.
  2. Vinukollu, R. K., R. Meynadier, J. Sheffield and E. F. Wood, 2011: Multi-Model, Multi-Sensor Estimates of Global Evapotranspiration: Climatology, Uncertainties and Trends, Hydrological Processes, doi: 10.1002/hyp.8393.
  3. Yuan, X., E. F. Wood, L. Luo, and M. Pan, 2011: A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction, Geophys. Res. Lett., 38, L13402, doi:10.1029/2011GL047792.
  4. Troy, T. J., J. Sheffield, and E. F. Wood, 2011: Estimation of the terrestrial water budget over Northern Eurasia through the use of multiple data sources, J. Clim., 24, 3272-3293, doi: 10.1175/2011JCLI3936.1.
  5. Wang, A., D. P. Lettenmaier, and J. Sheffield, 2011: Soil moisture drought in China, 1950-2006, J. Clim., 24, 3257-3271, doi: 10.1175/2011JCLI3733.1.
  6. Sahoo, A. K., M. Pan, T. J. Troy, R. K. Vinukollu, J. Sheffield, and E. F. Wood, 2011: Reconciling the global terrestrial water budget using satellite remote sensing, Remote Sens. Env., 115, 1850-1865, doi: 10.1016/j.rse.2011.03.009.
  7. Guan, K., S.E. Thompson, C. J. Harman, N. B. Basu, P. S. C. Rao, M. Sivapalan, A. I. Packman, P. K. Kalita, 2011: Spatio-temporal scaling of hydrological and agrochemical export dynamics in a tile-drained Midwestern watershed, Water Resour. Res., 47, W00J02, doi:10.1029/2010WR009997.
  8. Wood, E. F., J. K. Roundy, T. J. Troy, R. van Beek, M. Bierkens, E. Blyth, A. de Roo, P. Doell, M. Ek, J. Famiglietti, D. Gochis, N. van de Giesen, P. Houser, P. Jaffe, S. Kollet, B. Lehner, D. P. Lettenmaier, C. Peters-Lidard, M. Sivapalan, J. Sheffield, A. Wade, P. Whitehead, 2011: Hyper-Resolution Global Land Surface Modeling: Meeting a Grand Challenge for Monitoring Earth's Terrestrial Water, Water Resour. Res., 47, W05301, doi:10.1029/2010WR010090.
  9. Jimenez, C., C. Prigent, B. Mueller, S. Seneviratne, M. McCabe, E. Wood, W. Rossow, G. Balsamo, A. Betts, P. Dirmeyer, J. Fisher, M. Jung, M. Kanamitsu, R. Reichle, M. Reichstein, M. Rodell, J. Sheffield, K. Tu , W. Kaicun, 2010: Global inter-comparison of 12 land surface heat flux estimates, J. Geophys. Res., 116, D02102, doi:10.1029/2010JD014545.


  1. Vinukollu, R. K., E. F. Wood, C. R. Ferguson and J. B. Fisher, 2010: Global Estimates of Evapotranspiration for Climate Studies using Multi-Sensor Remote Sensing Data: Evaluation of Three Process-Based Approaches, Remote Sens. Env., 115(3), doi: 10.1016/j.rse.2010.11.006
  2. Rawlins, M.A., M. Steele, M.M. Holland, J.C. Adam, J.E. Cherry, J.A. Francis, P.Ya. Groisman, L.D. Hinzman, T.G. Huntington, D.L. Kane, J.S. Kimball, R. Kwok, R.B. Lammers, C.M. Lee, D.P. Lettenmaier, K.C. McDonald, E. Podest, J.W. Pundsack, B. Rudels, M.C. Serreze, A. Shiklomanov, Y. Skagseth, T.J. Troy, C.J. Vorosmarty, M. Wensnahan, E.F. Wood, R. Woodgate, D. Yang, K. Zhang and T. Zhang, 2010: Analysis of the Arctic System for Freshwater Cycle Intensification: Observationas and Expectations, Journal of Climate, 23(21), doi: 10.1175/2010JCLI3421.1.
  3. Troy, T.J. and E.F. Wood, 2010: Comparison and evaluation of gridded radiation products across northern Eurasia, Environmental Research Letters, 4(4), doi: 10.1088/1748-9326/4/4/045008.
  4. Rennermalm, A.K., E.F. Wood and T.J. Troy, 2010: Observed changes in pan-arctic cold-season minimum monthly river discharge, Climate Dynamics, 35(6), 923-939, doi: 10.1007/s00382-009-0730-5.
  5. Schwalm, C. R., C. A. Williams, K. Schaefer, R. Anderson, M. A. Arain, I. Baker, T. A. Black, G. Chen, P. Ciais, K. J. Davis, A. R. Desai, M. Dietze, D. Dragoni, M. L. Fischer, L. B. Flanagan, R. F. Grant, L. Gu, D. Hollinger, R. César Izaurralde, C. Kucharik, P. M. Lafleur, B. E. Law, L. Li, Z. Li, S. Liu, E. Lokupitiya, Y. Luo, S. Ma, H. Margolis, R. Matamala, H. McCaughey, R. K. Monson, W. C. Oechel, C. Peng, B. Poulter, D. T. Price, D. M. Riciutto, W. Riley, A. K. Sahoo, M. Sprintsin, J. Sun, H. Tian, C. Tonitto, H. Verbeeck, and S. B. Verma, 2010: A model-data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis, J. Geophys. Res., 115, G00H05, doi:10.1029/2009JG001229.
  6. Jung, M., M. Reichstein, P. Ciais, S. I. Seneviratne, J. Sheffield, M. L. Goulden, G. Bonan, A. Cescatti, J. Chen, R. de Jeu, A. J. Dolman, W. Eugster, D. Gerten, D. Gianelle, N. Gobron, J. Heinke, J. Kimball, B. E. Law, L. Montagnani, Q. Mu, B. Mueller, K. Oleson, D. Papale, A. D. Richardson, O. Roupsard, S. Running, E. Tomelleri, N. Viovy, U. Weber, C. Williams, E. Wood, S. Zaehle, K. Zhang, 2010: Recent decline in the global land evapotranspiration trend due to limited moisture supply, Nature, 467, doi: 10.1038/nature09396.
  7. Pan, Ming, Haibin Li and Eric F. Wood. 2010: Assessing the Skill of Satellite-based Precipitation Estimates in Hydrologic Applications, Water Resources Research, 46, W09535, doi:10.1029/2009WR008290.
  8. 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.
  9. De Lannoy, G.J.M., J. Ufford, A.K. Sahoo, P.A. Dirmeyer and P.R. Houser, 2010: Observed and simulated water and energy budget components at SCAN sites in the lower Mississippi Basin, Hydrological Processes, doi: 10.1002/hyp.7855.
  10. Alkama, R. B. Decharme, E. Douville, M. Becker, A. Cazenave, J. Sheffield, A. Voldoire, S. Tyteca, and P. Lemoigne, 2010: Global evaluation of the ISBA-TRIP continental hydrologic system. Part 1: A twofold constraint using GRACE Terrestrial Water Storage estimates and in-situ river discharges, Journal of Hydromet., 11(3), 583-600.
  11. Gao H., C.R. Ferguson, E.F. Wood and D. Lettenmaier, 2010: Estimating the water budget of major U.S. river basins via remote sensing, Int. J. Rem. Sens., 31, 3955-3978.
  12. Jones, L.A., C. R. Ferguson, J. S. Kimball, K. Zhang, S. Chan, K.C. McDonald, E. Njoku and E.F. Wood, 2010: Satellite microwave remote sensing of daily land surface air temperature minima and maxima from AMSR-E,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing., 3(1), doi:10.1109/JSTARS.2010.2041530.
  13. Ferguson, C.R. and E.F. Wood, 2010: An evaluation of satellite remote-sensing data products for land surface hydrology: Atmospheric Infrared Sounder (AIRS), Journal of Hydromet., early online, doi:10.1175/2010JHM1217.1.
  14. Ferguson, C. R., J. Sheffield, E. F. Wood and H. Gao, 2010: Quantifying uncertainty in remote sensing-based estimates of evapotranspiration over continental USA, Int. J. Rem. Sens., 31, 3821-3865, doi:10.1080/01431161.2010.483490
  15. Koster, R. D., et al. (2010), Contribution of land surface initialization to subseasonal forecast skill: First results from a multi-model experiment, Geophys. Res. Lett., 37, L02402, doi:10.1029/2009GL041677.
  16. Pan, M. and Eric F. Wood, 2010: Impact of Accuracy, Spatial Availability, and Revisit Time of Satellite-Derived Surface Soil Moisture in a Multiscale Ensemble Data Assimilation System. IEEE JSTARS, 3(1), 49-56, doi: 10.1109/JSTARS.2010.2040585.
  17. Sheffield, J., E. F. Wood, and F. Munoz-Arriola, 2010: Long-term regional estimates of evapotranspiration for Mexico based on downscaled ISCCP data,J. Hydrometeor., 11(2), 253-275.


  1. Déry, S. J., Hernández-Henríquez, M. A., Burford, J. E., and Wood, E. F., 2009: Observational evidence of an intensifying hydrological cycle in northern Canada, Geophys. Res. Lett., 36, L13402, doi: 10.1029/2009GL038852./li>
  2. Lavers, D., L. Luo, and E. F. Wood (2009), A multiple model assessment of seasonal climate forecast skill for applications, Geophys. Res. Lett., 36, L23711, doi:10.1029/2009GL041365.
    research highlight in nature reports climate change
  3. Li, H., L. Luo, E. F. Wood, and J. Schaake (2009), The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting, J. Geophys. Res., 114, D04114, doi:10.1029/2008JD010969.
  4. Pan M., E. Wood, D. McLaughlin, D. Entekhabi, and L. Luo, 2009: A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation: Part I, Implementation and Synthetic Experiment. Journal of Hydrometeorology, 10(3), 794-806, doi: 10.1175/2009JHM1088.1
  5. Pan M. and E. Wood, 2009: A Multiscale Ensemble Filtering System for Hydrologic Data Assimilation: Part II, Application to Land Surface Modeling with Satellite Rainfall Forcing. Journal of Hydrometeorology, 10, doi: 10.1175/2009JHM1155.1
  6. Sheffield, J., C. R. Ferguson, T. J. Troy, E. F. Wood, and M. F. McCabe, 2009: Closing the terrestrial water budget from satellite remote sensing, Geophys. Res. Lett., 36, L07403, doi:10.1029/2009GL037338.
  7. Sheffield, J., K. M. Andreadis, E. F. Wood, and D. P. Lettenmaier, 2009: Global and continental drought in the second half of the 20th century: severity-area-duration analysis and temporal variability of large-scale events, J. Climate, 22(8), 1962-1981.



  1. Feng, X., A. Sahoo, K. Arsenault, P. Houser, Y. Luo, and T.J. Troy. "The impact of snow model complexity at three CLPX sites," (accepted, Journal of Hydrometeorology, 9(6), 1464-1481, 2008.
  2. Luo L. and E. F. Wood, 2008: Use of Bayesian mering techniques in a multimodel seasonal hydrologic ensemble prediction system for the Eastern United States. Jounral of Hydrometeorology, 9, 866-884.
  3. Li, H., L. Luo, and E.F. Wood, 2008: Seasonal hydrologic predictions of low-flow conditions over eastern USA during the 2007 drought, Atmospheric Science Letters, 9(2). doi: 10.1002/asl.182
  4. McCabe, M.F., E.F. Wood, R. Wojcik, M. Pan, J. Sheffield, H. Gao, and H. Su, 2008: Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies, Remote Sensing of Environment, 112(2), 430-444.
  5. Pan, M. E.F. Wood, R. Wojcik, and M. McCabe, 2008: Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation, Remote Sensing of the Environment, 112(4), 1282-1294.
  6. Sheffield, J., and E. F. Wood, 2008: Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations, Climate Dynamics, 13(1), 79-105, doi:10.1007/s00382-007-0340-z
  7. Sheffield, J., and E.F. Wood, 2008: Global Trends and Variability in Soil Moisture and Drought Characteristics, 1950-2000, from Observation-Driven Simulations of the Terrestrial Hydrologic Cycle, J. Climate, 21, 432-458.
  8. Su, H., E.F. Wood, H. Wang, and R.T. Pinker, 2008: Spatial and temporal scaling behavior of surface downward shortwave radiation based on MODIS and in-situ measurements, IEEE Geosci. and Remote Sens. Letters, 5(3).
  9. Troy, T. J., E. F. Wood, and J. Sheffield, 2008: An efficient calibration method for continental-scale land surface modeling, Water Resour. Res., 44, W09411, doi:10.1029/2007WR006513.
  10. Wojcik, R., K. Andreadis, M. Tedesco, E. Wood, T. Troy and D. Lettenmaier. "Multi-model estimation of snow microwave emission during CLPX'03 using operational parameterization of micro-physical snow characteristics," Journal of Hydrometeorology, 9(6), 1491-1505, 2008.
  11. Sahoo, A. K.; Houser, P. R.; Ferguson, C.; Wood, E. F., Dirmeyer, P. A. and Kafatos, M., 2008: Evaluation of AMSR-E soil moisture results using the in-situ data over the Little River Experimental Watershed, Georgia, Remote Sensing of Environment, 112(6), 3142-3152.



  1. Peters-Lidard, C. D., P. R. Houser, Y. Tian, S. V. Kumar, J. Geiger, S. Olden, L. Lighty, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E. F. Wood and J. Sheffield, 2007. High-performance Earth system modeling with NASA/GSFC's Land Information System, Innovations in Systems and Software Engineering, 3(3), 157-165.
  2. Gao, H., E. F. Wood, and M. Drusch, 2007: Copula Derived Observation Operators for Assimilating TMI and AMSR-E Soil Moisture into Land Surface Models, J. Hydromet., 8(3), 413-428, doi:10.1175/JHM570.1.
  3. Hatim O. Sharif, W. Crow, N. L. Miller, and E. F. Wood, 2007: Multidecadal High-Resolution Hydrologic Modeling of the Arkansas-Red River Basins.J. Hydromet.,5,1111-1127.
  4. Hayhoe, K., C. Wake, T. Huntington, L. Luo, M. D. Schwartz, J. Sheffield, E. F. Wood, B. Anderson, J. Bradbury, A. DeGaetano, T. J. Troy, and D. Wolfe, 2007: Past and future changes in climate and hydrological indicators in the U.S. Northeast. Climate Dynamics, 28(4), 381-407, 10.1007/s00382-006-0187-8.
  5. Luo, L., E. F. Wood, 2007: Monitoring and predicting the 2007 U.S. drought. Geophys. Res. Lett., 34, L22702, doi:10.1029/2007GL031673
  6. 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.
  7. Manfreda, S., McCabe, M. F., Wood, E. F., Fiorentino, M. and Rodriguez-Iturbe, I., 2006: Scaling characteristics of spatial patterns of soil moisture from distributed modelling, Adv. Water Resour., 30(10), 32145-2150, doi:10.1016/j.advwatres.2006.07.009.
  8. Rennermalm, A.K, Wood, E.F., Weaver, A.J., Eby, M., Dery, S.J. 2007: Relative sensitivity of the Atlantic Meridional Overturning Circulation to river discharge into Hudson Bay and the Arctic Ocean, Journal of Geophysical Research Biogeoscience, 112, doi:10.1029/2006JG000330.
  9. Sheffield, J., and E. F. Wood (2007), Characteristics of global and regional drought, 1950-2000: Analysis of soil moisture data from off-line simulation of the terrestrial hydrologic cycle, J. Geophys. Res., 112, D17115, doi:10.1029/2006JD008288.



  1. Adam, J.C., E.A. Clark, D.P. Lettenmaier, and E.F. Wood, 2006: Correction of global precipitation products for orographic effects, J. Climate, 19(1), 15-38.
  2. Déry, S. J., and Wood, E. F., 2006: Analysis of snow in the 20th and 21st century GFDL coupled climate model simulations, J. Geophys. Res., 111(D9).
  3. Duan, Q., J. Schaake, V. Andreassian, S. Franks, G. Goteti, H.V. Gupta, Y.M. Gusev, F. Habets, A. Hall, L. Hay, T. Hogue, M. Huang, G. Leavesley, X. Liang, O.N. Nasonova, J. Noilhan, L. Oudin, S. Sorooshian, T. Wagener, E.F. Wood, 2006: Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops, J. Hydrology, 320(1-2), 3-17.
  4. 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
  5. Krajewski, W.F., M.C. Anderson, W.E. Eichinger, D. Entekhabi, B.K. Hornbuckle, P. Houser, G.G. Katul, W.P. Norman, J.M. Peterson, C. Peters-Lidard, E.F. Wood, 2006: A remote sensing observator for hydrologic sciences: A genesis for scaling to continental hydrology, Water Resourc. Res., 42(7), W07301, 13 pp.
  6. Kumar, S. V., C. D. Peters-Lidard, Y. Tian, J. Geiger, P. R. Houser, S. Olden, L. Lighty, J. L. Eastman, P. Dirmeyer, B. Doty, J. Adams, E. Wood and J. Sheffield (2006), LIS - An Interoperable Framework for High Resolution Land Surface Modeling, Environmental Modeling and Software, 21, 1402-1415.
  7. Luo, L., and E. F. Wood, 2006: Assessing the idealized predictability of precipitation and temperature in the NCEP Climate Forecast System, Geophys. Res. Lett., 33, L04708, doi:10.1029/2005GL025292.
  8. Margulis, S.A., E.F. Wood, P.A. Troch, 2006: The terrestrial water cycle: Modeling and data assimilation across catchment scales - Introduction, J. Hydromet., 7(3): 309-311.
  9. McCabe, M. F. and E. F. Wood, 2006:. Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors, Remote Sens. Environ., 105,(4), 271-285, doi:10.10106/j.rse.2006.07.006.
  10. McClelland, J., Déry, S. J., Peterson, B., Holmes, R., and Wood, E. F., 2006: A Pan-Arctic evaluation of changes in river discharge during the latter half of the 20th century, Geophys. Res. Lett., 33(6).
  11. Pan, M. and E.F. Wood, 2006: Data Assimilation for Estimating Land Water Budget Using a Constrained Ensemble Kalman Filter, J. Hydromet., 7(3), 534-547.
  12. Rennermalm, A.K., Wood, E.F., Dery, S.J., Weaver, A.J., Eby, M., (2006) Sensitivity of the thermohaline circulation to Arctic Ocean runoff, Geophysical Reserach Letters, 33, L12703, doi:10.1029/2006GL026124.
  13. Sheffield, J., G. Goteti, and E. F. Wood, Development of a 50-yr high-resolution global dataset of meteorological forcings for land surface modeling, J. Climate, 19 (13), 3088-3111.
  14. Wojcik, R., P.A. Troch, H. Stricker, P. Torfs, E. Wood, H Su, Z.Su, 2006: Mixtures of Gaussians for Uncertainty Description in Bivariate Latent Heat Flux Proxies, Journal of Hydrometeorology, 7, 330-345.



  1. Déry, S.J., and Wood, E.F., 2005: Decreasing river discharge in northern Canada, Geophys. Res. Lett., 32, L10401, doi: 10.1029/2005GLO22845
  2. Déry, S. J., Sheffield, J., and Wood, E. F., 2005: Connectivity between Eurasian snow cover extent and Canadian snow water equivalent and river discharge, J. Geophys. Res., 110, D23, D23106, doi: 10.1029/2005JD006173.
  3. Déry, S. J., and Wood, E. F., 2005: Observed twentieth century land surface air temperature and precipitation covariability, Geophys. Res. Lett., 32, L21414, doi: 10.1029/2005GL024234.
  4. Déry, S. J., Stieglitz, M., Rennermalm, A. K., and Wood, E. F., 2005: The water budget of the Kuparuk River Basin, Alaska, J. Hydrometeorol., 6, 633-655.
  5. Déry, S. J., Stieglitz, M., McKenna, E. C., and Wood, E. F., 2005: Characteristics and trends of river discharge into Hudson, James, and Ungava Bays, 1964-2000, J. Climate, 18(14), 2540-2557.
  6. Drusch, M., Wood, E. F., and Gao, H., Observation operators for the direct Assimilation of satellite retrieved soil moisture into land surface models, Geophysical Research Letters, 32, L15403, doi:10.1029/2005GL023623, 2005.
  7. Entekhabi, D., E.G. Njoku, P. Houser, M. Spencer, T. Soiron, Y.J. Kim, J. Smith, R. Girard, S. Belair, W. Crow, T.J. Jackson, Y.H. Kerr, J.S. Kimball, R. Koster, K.C. McDonald, P.E. O'Neill, T. Pultz, S.W. Running, J.C. Shi, E. Wood, J. van Zyl, 2004: The hydrosphere state (Hydros) satellite mission: An earth system pathfinder for global mapping of soil moisture and land freeze/thaw, IEEE Trans. on Geoscience and Remote Sensing, 42(10), 2184-2195.
  8. French, A. N., F. Jacob, M. Anderson, W. Kustas, W. Timmermans, A. Gieske, Z. Su, H. Su, M. McCabe, F. Li, 2005: Corrigendum to "Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA)", Remote Sens. Environ., 99(4), 471.
  9. French, A. N., Jacob, F., Anderson, M. C., Kustas, W. P., Timmermans, W., Gieske, A., Su, B., Su, H., McCabe, M. F., Li, F., Prueger, J. H. and Brusnell, N., 2005: Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA), Remote Sensing of Environment, 99(1-2), 55-65.
  10. McCabe, M.F., Franks, S.W. and Kalma, J.D., 2005: Calibration of a land surface model using multiple data sets, J. Hydrology., 302(1-4), 209-222.
  11. McCabe, M. F., E. F. Wood and H. Gao, 2005: Initial soil moisture retrievals from AMSR-E: Large scale comparisons with SMEX02 field observations and rainfall patterns over Iowa, Geophys. Res. Lett., 32, L06403, doi:10.1029/2004GL021222.
  12. McCabe, M. F., H. Gao and E. F. Wood, 2005: An evaluation of AMSR-E derived soil moisture retrievals using ground based, airborne and ancillary data during SMEX 02, J. Hydrometeorology, 6(6), 864-877.
  13. McCabe, M. F., J. D. Kalma and S. W. Franks, 2005: Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework, Hydrol. Earth Sys. Sci., 9(5), 467-480.
  14. Su, H., McCabe, M. F., Wood, E. F., Su, Z. and Prueger, J., 2005: Modeling evapotranspiration during SMACEX: comparing two approaches for local and regional scale prediction, Journal of Hydrometeorology, 6(6), 910-922.
  15. Ziegler, A. D., E. P. Maurer, J. Sheffield, B. Nijssen, E. F. Wood, and D. P. Lettenmaier, 2005: Detection time for plausible changes in annual precipitation, evapotranspiration, and streamflow in three Mississippi River sub-basins, Climatic Change, 72(1-2), 17-36.



  1. Déry, S. J., and Wood, E. F., 2004: Teleconnection between the Arctic Oscillation and Hudson Bay river discharge, Geophys. Res. Lett., 31, L18205, doi: 10.1029/2004GL020729.
  2. Déry, S. J., Crow, W. T., Stieglitz, M., and Wood, E. F., 2004: Modeling snow-cover heterogeneity over complex Arctic terrain for regional and global climate models, J. Hydrometeorol., 5(1), 33-48.
  3. Drusch, M., E. F. Wood, H. Gao, 2004: Soil moisture retrieval during the Southern Great Plains Hydrology experiment 1999: A comparison between experimental remote sensing data and operational products, Water Resource Research, 40(2), Art. No.W02504.
  4. Gao, H., E. F. Wood, M. Drusch, W. Crow, T. J. Jackson, 2004: Using a Microwave Emission Model to Estimate Soil Moisture from ESTAR Observations During SGP99, J. Hydromet., 5, 49-63.
  5. Sheffield, J., G. Goteti, F. Wen, and E. F. Wood, 2004: A simulated soil moisture based drought analysis for the United States, J. Geophys. Res., 109, D24108, doi:10.1029/2004JD005182.
  6. Sheffield, J., A. D. Ziegler, E. F. Wood, and Y. Chen, 2004: Correction of the high-latitude rain day anomaly in the NCEP/NCAR reanalysis for land surface hydrological modeling, J. Climate, 17(19), 3814-3828.



  1. Bindlish, R., T. J. Jackson, E. F. Wood, H. Gao, P. Starks, D. Bosch and V. Lakshmi, 2003: Soil moisture estimates from TRMM Microwave Imager observations over the Southern United States, Rem. Sens. Envir., 85, 507-515.
  2. Pan M., J. Sheffield, E. F. Wood, K. E. Mitchell, P. R. Houser, J. C. Schaake, A. Robock, D. Lohmann, B. A. Cosgrove, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, J. D. Tarpley, 2003: Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent, J. Geophys. Res., 108(D22), 8850, doi:10.1029/2003JD003994.
  3. Sheffield J., M. Pan, E. F. Wood, K. E. Mitchell, P. R. Houser, J. C. Schaake, A. Robock, D. Lohmann, B. A. Cosgrove, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, J. D. Tarpley, B. H. Ramsay, 2003: Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent, J. Geophys. Res., 108(D22), 8849, doi:10.1029/2002JD003274.
  4. Ziegler, A. D., Sheffield, J., Maurer, E. P., Nijssen, B., Wood, E. F., Lettenmaier, D. P., 2003: Detection of Intensification in Global- and Continental-Scale Hydrological Cycles: Temporal Scale of Evaluation, J. Climate, 16, 535-547.
  5. Crow, W.T. and E.F. Wood, 2003: The assimilation of remotely sensed soil brightness temperature imagery into a land-surface model using ensemble Kalman filtering: A case study based on ESTAR measurements during SGP97, Advances in Water Resources, 26, 137-149.



  1. Crow, W.T. and E.F. Wood, 2002: The value of coarse-scale soil moisture observations for regional surface energy balance modeling, Journal of Hydrometeorology, 3(4), 467-482.
  2. Crow, W.T. and E.F. Wood, 2002: Impact of soil moisture aggregation on surface energy flux prediction during SGP97, Geophysical Research Letters, 29(1), doi:10.1029/2001GL013796.
  3. Seuffert, G., P. Gross, C. Simmer and E.F. Wood. 2002: The influence of Hydrologic Modeling on the Predicted Local Weather: Two-Way Coupling of a Mesoscale Weather Prediction Model and a Land Surface Hydrologic Model, J. of Hydrometeorology, 3(5), 505-523.



  1. Crow, W.T., M. Drusch, and E.F. Wood, 2001: An observation system simulation experiment for the impact of land surface heterogeneity on AMSR-E soil moisture retrievals, IEEE Transactions on Geoscience and Remote Sensing, 39(8), 1622-1632.
  2. Drusch M and E.F. Wood, 2001: On the accuracy of TOVS surface temperatures: A comparison between measured, modeled, and satellite derived data. In Remote Sensing and Hydrology 2000, M Owe, K Brubaker, J Ritchie and A Rango (editors) IAHS Publ. 267, IAHS Press, Wallingford, Oxon, UK. pp 202-206.
  3. Drusch, M, E.F. Wood, and T.J. Jackson, 2001: On the impact of the atmosphere in passive microwave remote sensing of land surface parameters. In Remote Sensing and Hydrology 2000, M Owe, K Brubaker, J Ritchie and A Rango (editors) IAHS Publ. 267, IAHS Press, Wallingford, Oxon, UK. pp 400-404.
  4. Drusch, M, E.F. Wood, and T.J. Jackson, 2001: Vegetation and atmospheric corrections for the soil moisture retrieval from passive microwave remote sensing data: Results from the Southern Great Plains Hydrology Experiment 1997, J. of Hydrometeorology, 2(2), 181-192.
  5. Dubayah, Ralph, Dennis Lettenmaier, Eric F. Wood, and Joshua Rhoads, 2001: Using remote sensing data in macroscale hydrological modelling. In Remote Sensing and Hydrology 2000, M Owe, K Brubaker, J Ritchie and A Rango (editors) IAHS Publ. 267, IAHS Press, Wallingford, Oxon, UK. pp 151-155.
  6. Endreny, T.A., and E.F. Wood, 2001: Representing elevation uncertainty in runoff modeling and flowpath mapping, Hydrological Processes, 15, 2223-2236
  7. Nijssen, Bart, Greg M. O'Donnell, Dennis P. Lettenmaier, Dag Lohmann, Eric F. Wood, 2001: Predicting the Discharge of Global Rivers, Journal of Climate, 14(15), 3307-3323
  8. Peters-Lidard, C. D., F. Pan, and E. F. Wood, 2001: A re-examination of modeled and measured soil moisture spatial variability and its implications for land surface modeling, Advances in Waiter Resources (Special Issue on Non-Linear Propagation of Multi-scale Dynamics Through Hydrologic Subsystems), 24(9-10), 1069-1083.
  9. Wickel, A. J., T. J. Jackson and Wood, E. F. Wood, 2001: Multi-temporal monitoring of soil moisture with Radarsat SAR during the 1997 Southern Great Plains hydrology experiment, International Journal of Remote Sensing, 22, 1571-1583.



  1. Crow, W.T., E.F. Wood, and R. Dubayah, 2000: The potential for downscaling soil moisture maps derived from spaceborne imaging radar data, Journal of Geophysical Research, 105(D2), 2203-2212.
  2. Dubayah, Ralph O., Eric F. Wood, Edwin T. Engman, Kevin P. Czajkowski, Mark Zion and Joshua Rhoads (2000): Remote Sensing in Hydrological Modeling, Chapter 5 in Remote Sensing in Hydrology and Water Management, G. Schutze and E. Engman (Eds.), Springer, Berlin, pp 85-102.
  3. Endreny, T.A., E.F. Wood, and A. Hsu, 2000: Correction of errors in SPOT-derived DEMs using GTopO30 data, IEEE Transactions on Geoscience and Remote Sensing, 38(3), 1234-1241.
  4. Endreny, T.A., E.F. Wood, and D. P. Lettenmaier, 2000: Satellite-derived elevation model accuracy: hydrological modeling requirements, Hydrologic Processes, 14(2), 177-194.
  5. Endreny, T.A., E.F. Wood, and D. P. Lettenmaier, 2000: Satellite-derived elevation model accuracy: hydro-geomorphologic analysis requirements, Hydrologic Processes, 14(1), 1-20.
  6. Kenward, T., D. P. Lettenmaier, E. Wood, and E. Fielding, 2000: Effects of digital elevation model accuracy on hydrologic predictions, Remote Sensing of Environment, 74(3), 432-444.
  7. Pauwels, V.R.N., and E.F. Wood, 2000: The importance of classification differences and spatial resolution of land cover data in the uncertainty in model results over boreal ecosystems, Journal of Hydrometeorology, 1(3), 255-266.



  1. Crow, W.T., and E.F. Wood, 1999: Multi-scale dynamics of soil moisture variability observed during SGP97, Geophysical Research Letters, 26(23), 3485-3488.
  2. Drusch, M., E. F. Wood and R. Lindau, 1999: The impact of the SSM/I antenna gain function on land surface parameter retrieval, Geophy. Res. Lett., 26(23), 3481-3484.
  3. Drusch, M. and E. F. Wood, 1999: Up-scaling effects in passive microwave remote sensing ESTAR 1.4 GHz measurements during SGP'97, Geophys. Res. Let., 26(7), 879-882.
  4. Endreny, T.A., and E.F. Wood, 1999: Distributed watershed modeling of design storms to identify non-point source runoff, Journal of Environmental Quality, 28(2), 388-396.
  5. Liang, X., E.F. Wood, and D.P. Lettenmaier, 1999: Modeling ground heat flux in land surface parameterization schemes, Journal of Geophysical Research, 104(D8); 9581-9600.
  6. Pauwels, V.R.N., and E.F. Wood, 1999: A soil-vegetation-atmosphere transfer scheme for the modeling of water and energy balance processes in high latitudes. 1. Model improvements, Journal of Geophysical Research, 104(D22), 27811-27822.
  7. Pauwels, V.R.N., and E.F. Wood, 1999: A soil-vegetation-atmosphere transfer scheme for the modeling of water and energy balance processes in high latitudes. 2. Application and validation, Journal of Geophysical Research, 104(D22), 27823-27840.
  8. Pitman, A.J., et al., 1999: Key Results and Implications from Phase 1(c) of the Project for Intercomparison of Land-surface Parameterization Schemes, Climate Dynamics, 15(9), 673-684.
  9. Wood, A., R. Palmer, D. Lettenmaier, E. F. Wood and E. Stakhiv, 1999: Water resources implications of global warming: a U.S. regional perspective, Climatic Change, 43(3), 537-579.
  10. Wood, E. F., 1999: Surface runoff and subsurface redistribution of water, Chp 4.6 in Global Energy and Water Cycles, Eds. K. A. Browning and R. J. Gurney, Cambridge University Press, Cambridge, pp. 166-182.
  11. Wood, Eric F., 1999: The role of lateral flow: over- or underrated?, Chp. 10 in Eds. J. D. Tenhunen and P. Kabat Integrating hydrology, ecosystem dynamics, and biogeochemistry in complex landscapes, JohnWiley & Sons, Chichester, pp. 197-216.
The impact of a water droplet.




Web of Sciences

Search Our Site