The following research papers are available in electronic format. For others, contact me at mikew@cc.usu.edu and I'll send you a reprint or preprint. Some are high quality PDF, others are lower quality PDF scanned at 300 DPI from the paper.

2007
  • Hashimoto H, Dungan JL, White MA, Yang F, Michaelis AR, Running SW, Nemani RR. 2007. Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data. Remote Sensing of Environment, DOI:10.1016/j.rse.2007.04.016. [pdf]
  • Ichii K, White MA, Votava P, Michaelis A, Nemani RR. 2007. Evaluation of snow models in terrestrial biosphere models using ground observations and satellite data: impact on terrestrial ecosystem processes. Hydrological Processes, DOI: 10.1002/hyp.6616. [pdf]
  • Yang, F.H., Ichii, K., White, M.A., Hashimoto, H., Michaelis, A.R., Votava, P., Zhu, A-X., Huete, A., Running, S.W., and Nemani, R.R. 2007. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach. Remote Sensing of Environment, 110: 109-122. [pdf]
  • Kathuroju, N., White, M.A., Symanzik, J., Schwartz, M.D., Powell, J.A. and Nemani, R.R. 2007. On the use of the advanced very high resolution radiometer for development of prognostic land surface phenology models. Ecological Modelling, 201:144-156.
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  • Ichii, K., Hashimoto, H., White, M.A., Potters, C., Hutyra, L.R., Huete, A.R., Myneni, R.B. and Nemani, R.R. 2007. Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality. Global Change Biology, 13:67-77. [pdf]
    • 2006
  • Yang, F.H., White, M.A., Michaelis, A.R., Ichii, K., Hashimoto, H., Votava, P., Zhu, A.X. and Nemani, R.R., 2006. Prediction of continental-scale evapotranspiration by combining MODIS and AmeriFlux data through support vector machine. Ieee Transactions on Geoscience and Remote Sensing, 44:3452-3461.[pdf]
  • White, M.A. and Nemani, R.R., 2006. Real-time monitoring and short-term forecasting of land surface phenology. Remote Sensing of Environment, 104:43-49. [pdf]
  • White, M. A., Diffenbaugh, N. S., Jones, G. V., Pal, J. S., and Giorgi, F., 2006. Extreme heat reduces and shifts United States premium wine production in the 21st century. Proceedings Of The National Academy Of Sciences Of The United States Of America, 103:11217-11222. [pdf]
    • 2005
  • Ichii, K., Hashimoto, H., Nemani, R., and White, M., 2005. Modeling the interannual variability and trends in gross and net primary productivity of tropical forests from 1982 to 1999. Global and Planetary Change, 48:274-286. [pdf]
  • Jones, G., White, M., Cooper, O., and Storchmann, K., 2005. Climate change and global wine quality. Climatic Change, 73:319-343. [pdf]
  • White, M. A., Hoffman, F., Hargrove, W. W., and Nemani, R. R., 2005. A global framework for monitoring phenological responses to climate change. Geophysical Research Letters, 32:L0475, doi:101029/2004GL021961. [pdf]
  • White, M. A., Schmidt, J. C., and Topping, D. J., 2005. Application of wavelet analysis for monitoring the hydrologic effects of dam operation: Glen Canyon Dam and the Colorado River at Lees Ferry, Arizona. River Research and Applications, 21:551-565. [pdf]
  • White, M. A., Shaw, J. D., and Ramsey, R. D., 2005. Accuracy assessment of the vegetation continuous field tree cover product using 3954 ground plots in the southwestern USA. International Journal of Remote Sensing, 26:2699-2704. [pdf]
    • 2004
  • Hashimoto, H., Nemani, R. R., White, M. A., Jolly, W. M., Piper, S. C., Keeling, C. D., Myneni, R. B., and Running, S. W., 2004. El Ni(n)over-tildeo-Southern Oscillation-induced variability in terrestrial carbon cycling. Journal of Geophysical Research-Atmospheres, 109. [pdf]
  • Hessl, A. E., Milesi, C., White, M. A., Peterson, D. L., and Keane, R. E. 2004. Ecophysiological parameters for Pacific Northwest trees. Gen. Tech. Rep. PNW-GTR-618, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR. [pdf]
  • White, M. A., and Nemani, R. R., 2004. Soil water forecasting in the continental United States: relative forcing by meteorology versus leaf area index and the effects of meteorological forecast errors. Canadian Journal of Remote Sensing, 30:717-730. [pdf]
    • 2003
  • Nemani, R. R., White, M., Pierce, L., Votava, P., Coughlan, J., and Running, S., 2003. Biospheric Monitoring and Ecological Forecasting. Earth Observing Magazine, 12:6-8. [pdf]
  • White, M. A., Brunsell, N., and Schwartz, M. D., 2003. Vegetation phenology in global change studies. In: M. D. Schwartz (Editor), Phenology: An Integrative Environmental Science. Kluwer Academic Publishers, New York, NY. pp. 453-466. [pdf]
  • White, M. A., and Nemani, R. R., 2003. Canopy duration has little effect on annual carbon storage in the eastern United States broad leaf forest. Global Change Biology, 9:976-972. [pdf]
    • 2002
  • Nemani, R. R., White, M. A., Thornton, P. E., Nishida, K., Reddy, S., Jenkins, J., and Running, S., 2002. Recent trends in hydrologic balance have enhanced the terrestrial carbon sink in the United States. Geophysical Research Letters, 29:1468,doi:10.1029/2002GL014867. [pdf]
  • Schwartz, M. D., Reed, B., and White, M. A., 2002. Assessing satellite-derived start-of-season (SOS) measures in the conterminous USA. International Journal of Climatology, 22:1793-1805. [pdf]
  • White, M. 2002. Remote sensing of tree budburst in Germany: influence of satellite processing techniques and site selection. in Proceedings of the Seventh Annual GLOBE Conference. GLOBE, Chicago, IL. [pdf]
  • White, M. A. 2002. Spatial parameterization and uncertainty analysis for retrospective and forecast hydro-ecological simulations. in Proceedings of the Workshop on Spatio-temporal Data Models of Biogeophysical Fields for Ecological Forecasting., San Diego Supercomputer Center, La Jolla, California. [pdf]
  • White, M. A., Nemani, R., and Votava, P. 2002. United States 1980-1997 carbon and water fluxes: relative influence of vegetation phenology and structure versus climate. in Proceedings of the Workshop on the Use of Earth Observation Data for Phenological Studies. Joint Research Council, Ispra Italy. [pdf]
  • White, M. A., Nemani, R. R., Thornton, P. E., and Running, S. W., 2002. Satellite evidence of phenological differences between urbanized and rural areas of the eastern United States deciduous broadleaf forest. Ecosystems, 5:260-273. [pdf]
    • 2001
  • Nemani, R., Johnson, L., and White, M., 2001. Adding science to intuition: application of remote sensing and ecosystem modelling to vineyard management. Australian Grapegrower and Winemaker, 29th Annual Technical Issue:45-47. [pdf]
  • Nemani, R. R., White, M. A., Cayan, D. R., Jones, G. V., Running, S. W., and Coughlan, J. C., 2001. Asymmetric warming along coastal California and its impacts on the California premium wine industry. Climate Research, 19:25-34. [pdf]
  • White, M. A., and Running, S. W. 2001. Identification of optimal satellite compositing length using GLOBE budburst measurements. Pages 270-277 in Proceedings of the Sixth Annual GLOBE Conference. GLOBE, Blaine, WA. [pdf]
    • 2000
  • Nemani, R., White, M., Cayan, D., Jones, G., and Running, S. 2000. Predicting vintage quantity and quality in coastal California using Pacific sea surface temperatures. in Proceedings of the International Forum on Climate Prediction, Agriculture, and Development. International Research Institute for Climate Prediction IRI-CW/00/1., Palisades, NY. [pdf]
  • Nemani, R., White, M., Votava, P., Glassy, J., Roads, J., and Running, S. 2000. Biospheric Forecast System for natural resource management. in K. Clarke and M. Crane, editors. GIS/EM4 Conference. Proceedings of the 4th International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospectus, and Needs for Research. [CD-ROM, ISBN: 0-9743307-0-1]. [Jointly published] CIRES, USGS, NGDC., The Banff Centre, Banff, (AB) Canada. [html]
  • Thornton, P. E., Hasenauer, H., and White, M. A., 2000. Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria. Agricultural and Forest Meteorology, 104:255-271. [pdf]
  • White, M. A., Asner, G. P., Nemani, R. R., Privette, J. L., and Running, S. W., 2000. Measuring fractional cover and leaf area index in arid ecosystems: digital camera, radiation transmittance, and laser altimetry results. Remote Sensing of Environment, 74:45-57. [pdf]
  • White, M. A., Thornton, P. E., Running, S. W., and Nemani, R. R., 2000. Parameterization and sensitivity analysis of the BIOME-BGC terrestrial ecosystem model: net primary production controls. Earth Interactions, 4:1-85. [pdf]
    • 1999
  • Nemani, R., White, M., Cayan, D., Jones, G., Running, S., and Coughlan, J. 1999. Asymmetric warming improves California vintages. Pages 80-81 in Proceedings of the International Conference of Biometeorology. ICB8, Sydney, Australia. [pdf]
  • White, M. A., Running, S. W., and Thornton, P. E., 1999. The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern U.S. deciduous forest. International Journal of Biometeorology, 42:139-145. [pdf]
  • White, M. A., Schwartz, M. D., and Running, S. W., 1999. Young students, satellites aid understanding of climate-biosphere link. EOS Transactions, 81:1,5. [pdf]
    • 1997
  • Kimball, J. S., Thornton, P. E., White, M. A., and Running, S. W., 1997. Simulating forest productivity and surface-atmosphere exchange in the BOREAS study region. Tree Physiology, 17:589-599. [pdf]
  • Kimball, J. S., White, M. A., and Running, S. W., 1997. BIOME-BGC simulations of stand hydrologic processes for BOREAS. J. Geophys. Res., 102:29,043-029,051. [pdf]
  • Thornton, P. E., Running, S. W., and White, M. A., 1997. Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology, 190:214-251. [pdf]
  • White, M. A., Thornton, P. E., and Running, S. W., 1997. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochemical Cycles, 11:217-234. [pdf]
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