Guido Salvucci PublicationsPublication Records on this site range from 2012 to present.
* Denotes Student
Short Gianotti, D. J., Anderson, B. T., Salvucci, G. (2014). The Potential Predictability of Precipitation Occurrence, Intensity, and Seasonal Totals over the Continental United States. J. Climate, 27(18), 6904–6918.
Tuttle*, S.E., and G. D. Salvucci, 2014. A new approach for validating satellite estimates of soil moisture using large-scale precipitation: comparing AMSR-E products, Remote Sensing of Environment,142, 207-222.
Gianotti, D. J., Anderson, B.T., G.D. Salvucci, 2013, What do rain gauges tell us about the limits of precipitation predictability?, Journal of Climate, 26(15), 5682-5688. DOI: 10.1175/JCLI-D-12-00718.1
Lintner, B.R., Gentine, P., Findell, K. L., D’Andrea, F., Sobel, A.H., and G.D. Salvucci, 2013. An idealized prototype for large-scale land-atmosphere coupling, Journal of Climate, 26(7), 2379-2389, doi: 10.1175/JCLI-D-11-00561.1
Pal, I.*, B.T. Anderson, G.D. Salvucci, and Gianotti*, D. 2013. Shifting seasonality and increasing frequency of precipitation in wet and dry seasons across the U.S. Geophys. Res. Lett.. doi: 10.1002/grl.50760
Salvucci, G.,D., and P. Gentine, 2013. Emergent relation between surface vapor conductance and relative humidity profiles yields evaporation from weather data, Proceedings of the National Academy of Sciences, 110 (16), 6287-6291, DOI: 10.1073/pnas.1215844110
Gentine, P. , D’Odorico, P., Lintner B. R., Sivandran, G., and G. Salvucci, 2012. Interdependence of climate, soil, and vegetation as constrained by the Budyko curve, Geophysical Research Letters, 39, DOI: 10.1029/2012GL053492
Sun*, J., G.D. Salvucci, and D. Entekhabi, 2012. Estimates of Evapotranspiration from MODIS and AMSR-E Land Surface Temperature and Moisture over the Southern Great Plains, Remote Sensing of Environment, 127, 44-59, DOI: 10.1016/j.rse.2012.08.020.
Tuttle*, S.E., G.D. Salvucci, 2012. A new method for calibrating a simple, watershed-scale model of evapotranspiration: maximizing the correlation between observed streamflow and model-inferred storage, Water Resources Research, 48, W05556, DOI: 10.1029/2011WR011189