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Journal ArticleDOI

A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation

TLDR
The Surface Energy Balance Algorithm for Land (SEBAL) as mentioned in this paper estimates the spatial variation of most essential hydro-meteorological parameters empirically, and requires only field information on short wave atmospheric transmittance, surface temperature and vegetation height.
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This article is published in Journal of Hydrology.The article was published on 1998-12-01. It has received 2628 citations till now. The article focuses on the topics: SEBAL & Land cover.

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Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Harry Vereecken, +49 more
- 01 May 2016 - 
TL;DR: Key challenges in modeling soil processes are identified, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes.
Journal ArticleDOI

Scaling of Soil Moisture: A Hydrologic Perspective

TL;DR: In this article, a review of the literature relevant to a variety of scaling techniques applicable to soil moisture is presented, focusing on spatial scaling with brief reference to results on temporal scaling.
Journal ArticleDOI

A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006

TL;DR: In this article, a satellite remote sensing-based evapotranspiration (ET) algorithm was applied to assess global terrestrial ET from 1983 to 2006 using a modified Penman-Monteith approach with biome-specific canopy conductance determined from the normalized difference vegetation index (NDVI) and quantifying open water evaporation using a Priestley-Taylor approach.
Journal ArticleDOI

The future of evapotranspiration: global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources.

TL;DR: In this article, the authors describe how evapotranspiration represents the key variable in linking ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources, and highlight both the outstanding science and applications questions and the actions, especially from a space-based perspective, necessary to advance them.
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Climate change, water and food security.

TL;DR: The impacts of climate change on the global hydrological cycle are expected to vary the patterns of demand and supply of water for agriculture -the dominant use of freshwater as discussed by the authors, and the implications for local and national food security.
References
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Journal ArticleDOI

The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field

TL;DR: In this paper, the stomatal conductance of illuminated leaves is a function of current levels of temperature, vapour pressure deficit, leaf water potential (really turgor pressure) and ambient CO $_2$ concentration and when plotted against any one of these variables a scatter diagram results.
Journal ArticleDOI

A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation

TL;DR: In this paper, a revised version of the Simple Biosphere model (SiB2) is presented, incorporating a realistic canopy photosynthesis-conductance model to describe the simultaneous transfer of CO2 and water vapor into and out of the vegetation, respectively.
Journal ArticleDOI

Flux Parameterization over Land Surfaces for Atmospheric Models

TL;DR: In this article, a summary of observations and modeling efforts on surface fluxes, carried out at Cabauw in The Netherlands and during MESOGERS-84 in the south of France, is given.
Journal ArticleDOI

Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation

TL;DR: The use of analytical solutions of the diffusion equation for "footprint prediction" is explored in this paper, where the upwind area most likely to affect a downwind flux measurement at a given height is compared.
Journal ArticleDOI

Wheat canopy temperature: A practical tool for evaluating water requirements

TL;DR: In this paper, the authors used a sliding cubic smoothing technique to calculate daily water contents and thus water depletion rates for the entire growing season and used this to predict water use by wheat in six differentially irrigated plots.
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