Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture

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....

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Published inGeoscientific Model Development Vol. 10; no. 2; pp. 689 - 708
Main Authors Davis, Tyler W., Prentice, I. Colin, Stocker, Benjamin D., Thomas, Rebecca T., Whitley, Rhys J., Wang, Han, Evans, Bradley J., Gallego-Sala, Angela V., Sykes, Martin T., Cramer, Wolfgang
Format Journal Article
LanguageEnglish
Published Katlenburg-Lindau Copernicus GmbH 14.02.2017
European Geosciences Union
Copernicus Publications
Subjects
Agriculture
Air temperature
Algorithms
Atmosphere
Atmospheric boundary layer
Bioclimatic indexes
Bioclimatology
Biologi
Biological Sciences
Climate and vegetation
Climate change
Climatic indexes
Cloud cover
Cloudiness
Computer simulation
Datasets
Ecological function
Ecology (including Biodiversity Conservation)
Ecosystem studies
Ecosystems
Ekologi
Environmental Sciences
Equilibrium
Evapotranspiration
Flux density
Fluxes
Geographical distribution
Global Changes
Moisture index
Natural Sciences
Naturvetenskap
Photosynthesis
Precipitation
Radiation
Robustness
Runoff
Sea level
Soil
Soil moisture
Soils
Solar radiation
Surface fluxes
Surface temperature
Surface-air temperature relationships
Temperature
Vegetation
Water deficit
United Kingdom > UK
Australia
United States > US
New South Wales Australia
Online AccessGet full text
ISSN1991-9603
1991-962X
1991-959X
1991-9603
1991-962X
1991-959X
DOI10.5194/gmd-10-689-2017

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Abstract 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.
AbstractList 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.
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, evapotranspi-ration 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.
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.
Author Whitley, Rhys J.
Sykes, Martin T.
Cramer, Wolfgang
Davis, Tyler W.
Thomas, Rebecca T.
Prentice, I. Colin
Evans, Bradley J.
Gallego-Sala, Angela V.
Stocker, Benjamin D.
Wang, Han
Author_xml – sequence: 1
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  fullname: Cramer, Wolfgang
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Air temperature
Algorithms
Atmosphere
Atmospheric boundary layer
Bioclimatic indexes
Bioclimatology
Biologi
Biological Sciences
Climate and vegetation
Climate change
Climatic indexes
Cloud cover
Cloudiness
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Ekologi
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Equilibrium
Evapotranspiration
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Fluxes
Geographical distribution
Global Changes
Moisture index
Natural Sciences
Naturvetenskap
Photosynthesis
Precipitation
Radiation
Robustness
Runoff
Sea level
Soil
Soil moisture
Soils
Solar radiation
Surface fluxes
Surface temperature
Surface-air temperature relationships
Temperature
Vegetation
Water deficit
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Title Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture
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