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Simple process-led ...
Simple process-led algorithms for simulating habitats (SPLASH v.1.0) : Robust indices of radiation, evapotranspiration and plant-available moisture
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- Davis, Tyler W. (författare)
- Imperial College London,United States Department of Agriculture (USDA)
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- Prentice, I. Colin (författare)
- Imperial College London,Northwest A&F University,Terrestrial Ecosystem Research Network (TERN),Macquarie University, Sydney
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- Stocker, Benjamin D. (författare)
- Imperial College London
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- Thomas, Rebecca T. (författare)
- Imperial College London
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- Whitley, Rhys J. (författare)
- Macquarie University, Sydney,Terrestrial Ecosystem Research Network (TERN)
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- Wang, Han (författare)
- Macquarie University, Sydney,Northwest A&F University
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- Evans, Bradley J. (författare)
- Terrestrial Ecosystem Research Network (TERN),University of Sydney
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- Gallego-Sala, Angela V. (författare)
- University of Exeter
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- Sykes, Martin T. (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Cramer, Wolfgang (författare)
- University of Avignon,Aix-Marseille University
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(creator_code:org_t)
- 2017-02-14
- 2017
- Engelska 20 s.
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Ingår i: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 10:2, s. 689-708
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://www.geosci-m...
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https://lup.lub.lu.s...
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https://doi.org/10.5...
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Abstract
Ämnesord
Stäng
- Bioclimatic indices for use in studies of ecosystem function, species distribution, and vegetation dynamics under changing climate scenarios depend on estimates of surface fluxes and other quantities, such as radiation, evapotranspiration and soil moisture, for which direct observations are sparse. These quantities can be derived indirectly from meteorological variables, such as near-surface air temperature, precipitation and cloudiness. Here we present a consolidated set of simple process-led algorithms for simulating habitats (SPLASH) allowing robust approximations of key quantities at ecologically relevant timescales. We specify equations, derivations, simplifications, and assumptions for the estimation of daily and monthly quantities of top-of-the-atmosphere solar radiation, net surface radiation, photosynthetic photon flux density, evapotranspiration (potential, equilibrium, and actual), condensation, soil moisture, and runoff, based on analysis of their relationship to fundamental climatic drivers. The climatic drivers include a minimum of three meteorological inputs: precipitation, air temperature, and fraction of bright sunshine hours. Indices, such as the moisture index, the climatic water deficit, and the Priestley-Taylor coefficient, are also defined. The SPLASH code is transcribed in C++, FORTRAN, Python, and R. A total of 1 year of results are presented at the local and global scales to exemplify the spatiotemporal patterns of daily and monthly model outputs along with comparisons to other model results.
Ämnesord
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
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Davis, Tyler W.
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Prentice, I. Col ...
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Stocker, Benjami ...
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Thomas, Rebecca ...
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Whitley, Rhys J.
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Wang, Han
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visa fler...
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Evans, Bradley J ...
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Gallego-Sala, An ...
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Sykes, Martin T.
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Cramer, Wolfgang
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Geoscientific Mo ...
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Lunds universitet