A. Johannes Dolman

TL;DR: An estimate of global land evapotranspiration from 1982 to 2008 is provided using a global monitoring network, meteorological and remote-sensing observations, and a machine-learning algorithm, which suggests that increasing soil-moisture limitations on evapOTranspiration largely explain the recent decline of the global land-evapotranpiration trend.

TL;DR: In this paper, the authors investigated the biophysical effects of temperate land-management changes and revealed a net warming effect of similar magnitude to that driven by changing land cover, and found that potential surface cooling from increased albedo is typically offset by warming from decreased sensible heat fluxes.

TL;DR: In this article, satellite observations are used to investigate changes in terrestrial evaporation, indicating increases at northern latitudes that are in line with expectations, but global multidecadal variability is dominated by El Nino/Southern Oscillation cycles.

TL;DR: An efficient three-dimensional method based on discrete cosine transforms is introduced, which explicitly utilizes information from both time and space to predict the missing values in the global soil moisture dataset with very high accuracy.

TL;DR: The State of the Climate for 2013 as discussed by the authors is a very low-resolution file and it can be downloaded in a few minutes for a high-resolution version of the report to download.