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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 et al 2017 GMD.pdf | Published version | 5.44 MB | Adobe PDF | View/Open |
Title: | Simple Process-Led Algorithms for Simulating Habitats (SPLASH v.1.0): Robust Indices of Radiation, Evapotranspiration and Plant-Available Moisture |
Authors: | Davis, TW Prentice, IC Stocker, BD Whitely, RJ Wang, H Evans, BJ Gallego-Sala, AV Sykes, MT Cramer, W |
Item Type: | Journal Article |
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, evapotranspi- ration and soil moisture, for which direct observations are sparse. These quantities can be derived indirectly from me- teorological 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 estima- tion 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 meteoro- logical inputs: precipitation, air temperature, and fraction of bright sunshine hours. Indices, such as the moisture index, the climatic water deficit, and the Priestley–Taylor coeffi- cient, 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. |
Issue Date: | 14-Feb-2017 |
Date of Acceptance: | 16-Jan-2017 |
URI: | http://hdl.handle.net/10044/1/56737 |
DOI: | https://dx.doi.org/10.5194/gmd-2016-49 |
ISSN: | 1991-959X |
Publisher: | Copernicus Publications |
Start Page: | 689 |
End Page: | 708 |
Journal / Book Title: | Geoscientific Model Development |
Volume: | 10 |
Issue: | 2 |
Copyright Statement: | © 2017 Author(s). This work is distributed under the Creative Commons Attribution 3.0 License (https://creativecommons.org/licenses/by/3.0/). |
Publication Status: | Published |
Appears in Collections: | Department of Life Sciences Faculty of Natural Sciences |