Land-surface modelling in hydrological perspective – a review

Overgaard, Jesper; Rosbjerg, Dan; Butts, M. B.

doi:10.5194/bg-3-229-2006

Cited by 135 publications

(105 citation statements)

References 91 publications

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“…Remote sensing based evapotranspiration estimation and its development has been reviewed from time to time [40,47,55]. This issue has been addressed from a hydrological perspective by Overgaard et al [58] with particular emphasis to plant sciences, agronomy, and irrigation applications [59,60]. Farahani et al [61] provide a focused survey of progress in crop evapotranspiration measurement and modeling with particular emphasis on the aspects of irrigational interest.…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

2014

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Abstract:With the advent of new satellite technology, the radiative energy exchanges between Sun, Earth, and space may now be quantified accurately. Nevertheless, much less is known about the magnitude of the energy flows within the climate system and at the Earth's surface, which cannot be directly measured by satellites. This review surveys the basic theories, observational methods, and different surface energy balance algorithms for estimating evapotranspiration (ET) from landscapes and regions with remotely sensed surface temperatures, and highlights uncertainties and limitations associated with those estimation methods. Although some of these algorithms were built up for specific land covers like irrigation areas only, methods developed for other disciplines like hydrology and meteorology, are also reviewed, where continuous estimates in space and in time are needed. Temporal and spatial scaling issues associated with the use of thermal remote sensing for estimating evapotranspiration are also discussed. A review of these different satellite based remote sensing approaches is presented. The main physical bases and assumptions of these algorithms are also discussed. Some results are shown for the estimation of evapotranspiration on a rice paddy of Chiayi Plain in Taiwan using remote sensing data.

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Section: Introductionmentioning

confidence: 99%

Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review

2014

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“…There are many parameters in land surface models that represent the spatial variability in biophysical and hydrologic processes but these parameters are typically set to default values [Overgaard et al, 2006;Mendoza et al, 2015]. Land-surface models do a credible job of relating geophysical attributes (e.g., topography, vegetation, and soils) to model parameters (e.g., storage and transmission of water in soils), providing a good initial representation of spatial variability in the landscape on large-scale hydrologic simulations [Sellers et al, 1996;Chen and Dudhia, 2001].…”

Section: Land Surface Modeling Communitymentioning

confidence: 99%

Accelerating advances in continental domain hydrologic modeling

Archfield

Clark

Arheimer

et al. 2015

Water Resources Research

134

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In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from a catchment hydrology community perspective, provides a review of progress in each community toward this achievement, identifies common challenges the communities face, and details immediate and specific areas in which these communities can mutually benefit one another from the convergence of their research perspectives. Those include: (1) creating new incentives and infrastructure to report and share model inputs, outputs, and parameters in data services and open access, machine-independent formats for model replication or reanalysis; (2) ensuring that hydrologic models have: sufficient complexity to represent the dominant physical processes and adequate representation of anthropogenic impacts on the terrestrial water cycle, a process-based approach to model parameter estimation, and appropriate parameterizations to represent large-scale fluxes and scaling behavior; (3) maintaining a balance between model complexity and data availability as well as uncertainties; and (4) quantifying and communicating significant advancements toward these modeling goals.

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“…There are a lot of reviews providing a detailed and comprehensive discussion of LSMs (e.g. Sellers et al, 1997;Pitman, 2003;Overgaard et al, 2006). Most of them are concentrated on the development of LSMs designed for use in weather and climate models.…”

Section: Introductionmentioning

confidence: 99%

“…Applicability of satellite remote sensing for improvement of the land surface modeling is reviewed, e.g. by Overgaard et al (2006), including results of a number of field e x p e r i m e n t s ( F I F E , H A P E X , K U R E X a n d o t h e r s ) . H o w e v e r , i n s p i t e o f t h e f a c t t h a t quantity and quality of satellite products have largely increased for the last decade and they have recognized as a potentially valuable source of distributed information, the majority of satellite products still needs considerable improvement and applicability of these products, even being improved, should be verified both for the specific region and for the used LSM.…”

Section: Introductionmentioning

confidence: 99%