Denis Mutiibwa

TL;DR: In this paper, an integrated approach of practical and robust procedures that are already exist to estimate necessary climate variables [incoming shortwave radiation (Rs), net radiation (Rn), wind speed at 2-m (u2), relative humidity (RH), and vapor pressure deficit (VPD)] only from observed maximum and minimum air temperatures (Tmax and Tmin) and precipitation (P) data to predict grass-and alfalfa-reference evapotranspiration (ETo and ETr, respectively).

TL;DR: The relation between LST and Tair was found to be strongest during late summer and fall, and weakest during winter and early spring, and the relationship did not differ significantly across the two distinct mountainous ecoregions of Nevada.

TL;DR: In this article, the authors present an integrated approach to scale up rL to rc by integrating microclimatic and in-canopy radiation transfer parameters to represent an integrated resistance from plant communities to quantify fieldscale evaporative losses.

TL;DR: In this article, the authors investigated the relationship between primary micrometeorological parameters and canopy resistance and developed seven models to estimate rc for a nonstressed maize canopy on an hourly time step using a generalized-linear modeling approach.

TL;DR: This article used a high-resolution spatial and temporal seamless gridded land surface forcing data set to provide an assessment of recent spatiotemporal patterns in temperature extremes over the conterminous United States (CONUS).