Leaf Temperature and Energy Fluxes

TL;DR: The ERA-Interim/Land dataset as mentioned in this paper provides a global integrated and coherent estimate of soil moisture and snow water equivalent, which can also be used for the initialization of numerical weather prediction and climate models.

TL;DR: The Land Use Model Intercomparison Project (LUMIP) aims to further advance understanding of the impacts of land-use and land-cover change (LULCC) on climate, specifically addressing the following questions.

TL;DR: The mean and variation of canopy surface temperature were driven by differences in functional group composition (herbs‐ vs. grass dominance), to a lesser extent by plant diversity, and were partly mediated the metrics of canopy structure but also by direct effects unrelated to the structural metrics considered.

TL;DR: This study uses high-resolution remote sensing to assess pelagic Sargassum in the Florida Keys, achieving 88% accuracy in feature extraction and revealing temperature anomalies in 1-21% of detected mats, intensifying with Sargassum density.

TL;DR: In this article, neural network models were developed to predict water retention parameters using a data set of 1209 samples containing sand, silt, and clay contents, bulk density, porosity, gravel content, and soil horizon as well as water retention data.

TL;DR: In this paper, the authors demonstrate that the inclusion of nutrient cycle dynamics, specifically the close coupling between carbon and nitrogen cycles, in a terrestrial biogeochemistry component of a global coupled climate system model leads to fundamentally altered behavior for several of the most critical feedback mechanisms operating between the land biosphere and the global climate system.

TL;DR: The Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP) as mentioned in this paper investigated the ability to simulate large-scale wetland characteristics and corresponding CH4 emissions.