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: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) as mentioned in this paper is an update from the previous versions including MEGAN1.0, which was described for isoprene emissions by Guenther et al. (2006) and MEGan2.02, which were described for monoterpene and sesquiterpene emissions by Sakulyanontvittaya et al (2008).

Abstract: This work presents a new dynamic global vegetation model designed as an extension of an existing surface-vegetation-atmosphere transfer scheme which is included in a coupled ocean-atmosphere general circulation model. The new dynamic global vegetation model simulates the principal processes of the continental biosphere influencing the global carbon cycle (photosynthesis, autotrophic and heterotrophic respiration of plants and in soils, fire, etc.) as well as latent, sensible, and kinetic energy exchanges at the surface of soils and plants. As a dynamic vegetation model, it explicitly represents competitive processes such as light competition, sapling establishment, etc. It can thus be used in simulations for the study of feedbacks between transient climate and vegetation cover changes, but it can also be used with a prescribed vegetation distribution. The whole seasonal phenological cycle is prognostically calculated without any prescribed dates or use of satellite data. The model is coupled to the IPSL-CM4 coupled atmosphere-ocean-vegetation model. Carbon and surface energy fluxes from the coupled hydrology-vegetation model compare well with observations at FluxNet sites. Simulated vegetation distribution and leaf density in a global simulation are evaluated against observations, and carbon stocks and fluxes are compared to available estimates, with satisfying results.

TL;DR: In this article, the authors proposed that the measurement of S, Pα, Pω and K is of more importance than, and should replace, the determination of the sizes of the soil particles as in the usual "mechanical analysis" of soils.

TL;DR: In this paper, a two-stream approximation model of radiative transfer was used to calculate values of hemispheric canopy reflectance in the visible and near-infrared wavelength intervals.