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

Davis, Tyler W.; Prentice, I. Colin LU ; Stocker, Benjamin D.; Thomas, Rebecca T.; Whitley, Rhys J.; Wang, Han; Evans, Bradley J.; Gallego-Sala, Angela V. LU ; Sykes, Martin T. LU and Cramer, Wolfgang (2017) In Geoscientific Model Development 10(2). p.689-708
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... (More)

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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Geoscientific Model Development
volume
10
issue
2
pages
20 pages
publisher
Copernicus Gesellschaft Mbh
external identifiers
  • scopus:85012939412
  • wos:000395135400001
ISSN
1991-959X
DOI
10.5194/gmd-10-689-2017
language
English
LU publication?
yes
id
4c08c06c-7303-48c9-9c4c-561b5e98bb5b
date added to LUP
2017-02-27 13:12:17
date last changed
2018-05-20 04:32:01
@article{4c08c06c-7303-48c9-9c4c-561b5e98bb5b,
  abstract     = {<p>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.</p>},
  author       = {Davis, Tyler W. and Prentice, I. Colin and Stocker, Benjamin D. and Thomas, Rebecca T. and Whitley, Rhys J. and Wang, Han and Evans, Bradley J. and Gallego-Sala, Angela V. and Sykes, Martin T. and Cramer, Wolfgang},
  issn         = {1991-959X},
  language     = {eng},
  month        = {02},
  number       = {2},
  pages        = {689--708},
  publisher    = {Copernicus Gesellschaft Mbh},
  series       = {Geoscientific Model Development},
  title        = {Simple process-led algorithms for simulating habitats (SPLASH v.1.0) : Robust indices of radiation, evapotranspiration and plant-available moisture},
  url          = {http://dx.doi.org/10.5194/gmd-10-689-2017},
  volume       = {10},
  year         = {2017},
}