High-resolution hydraulic parameter maps for surface soils in tropical South America
Cite this dataset as:
Marthews, T.; Quesada, C.A.; Galbraith, D.R.; Malhi, Y.; Mullins, C.E.; Hodnett, M.G.; Dharssi, I. (2014). High-resolution hydraulic parameter maps for surface soils in tropical South America. NERC Environmental Information Data Centre. https://doi.org/10.5285/4078678b-768f-43ff-abba-b87712f648e9
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© UK Centre for Ecology & Hydrology
This dataset is made available under the terms of the Open Government Licence 
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wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/4078678b-768f-43ff-abba-b87712f648e9
https://doi.org/10.5285/4078678b-768f-43ff-abba-b87712f648e9
Spatial data files holding gridded parameter maps of surface soil hydraulic parameters derived from a selection of pedotransfer functions. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking - especially in the tropics - and it is this lack that we fill here in the context of South America. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten-Mualem and van Genuchten-Burdine soil hydraulic models, which are widely-used hydraulic sub-models in many land surface models (e.g. Joint UK Land Environment Simulator JULES).
Publication date: 2014-04-03
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Formats
NetCDF, TIFF
Spatial information
Study area
Spatial representation type
Raster
Spatial reference system
WGS 84
Temporal information
Temporal extent
2010-01-01 to …
Provenance & quality
Soil measurements have been interpolated from several sources including new and original data as well as older sources such as RADAMBRASIL http://daac.ornl.gov/LBA/guides/Pre_LBA_RADAMBrasil.html , using the polygons of the SOTERLAC soil and terrain database as a base (http://www.isric.org/projects/soter-latin-america-and-caribbean-soterlac ). All files were generated using Esri ArcGIS 10.0 at 15 arc-sec resolution (cells ~ 450 m x 450 m at the Equator) snapped to the HydroSHEDS Digital Elevation Model (http://www.hydrosheds.org/ ). All NetCDF files conform to the Climate and Forecast (CF) conventions. For more detail of all methods followed, please see Marthews et al. (2014).
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
Marthews, T.; Quesada, C.A.; Galbraith, D.R.; Malhi, Y.; Mullins, C.E.; Hodnett, M.G.; Dharssi, I. (2014). High-resolution hydraulic parameter maps for surface soils in tropical South America. NERC Environmental Information Data Centre. https://doi.org/10.5285/4078678b-768f-43ff-abba-b87712f648e9
© UK Centre for Ecology & Hydrology
Citations
Johnson, M. O., Galbraith, D., Gloor, M., De Deurwaerder, H., Guimberteau, M., Rammig, A., … Monteagudo, A. (2016). Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models. Global Change Biology, 22(12), 3996–4013. https://doi.org/10.1111/gcb.13315
Van Looy, K., Bouma, J., Herbst, M., Koestel, J., Minasny, B., Mishra, U., … Vereecken, H. (2017). Pedotransfer Functions in Earth System Science: Challenges and Perspectives. Reviews of Geophysics, 55(4), 1199–1256. https://doi.org/10.1002/2017rg000581
Goll, D.S., Joetzjer, E., Huang, M., & Ciais, P. (2018). Low Phosphorus Availability Decreases Susceptibility of Tropical Primary Productivity to Droughts. Geophysical Research Letters, 45(16), 8231–8240. https://doi.org/10.1029/2018gl077736
Longo, M., Knox, R.G., Levine, N.M., Alves, L.F., Bonal, D., Camargo, P.B., … Moorcroft, P.R. (2018). Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts. New Phytologist, 219(3), 914–931. https://doi.org/10.1111/nph.15185
Barella-Ortiz, A., Polcher, J., de Rosnay, P., Piles, M., & Gelati, E. (2017). Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula. Hydrology and Earth System Sciences, 21(1), 357–375. https://doi.org/10.5194/hess-21-357-2017
Zhang, Z., Zimmermann, N.E., Kaplan, J.O., & Poulter, B. (2016). Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties. Biogeosciences, 13(5), 1387–1408. https://doi.org/10.5194/bg-13-1387-2016
Supplemental information
Marthews, T. R., Quesada, C. A., Galbraith, D. R., Malhi, Y., Mullins, C. E., Hodnett, M. G., and Dharssi, I.: High-resolution hydraulic parameter maps for surface soils in tropical South America, Geosci. Model Dev., 7, 711-723
Correspondence/contact details
Marthews, T.
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Other contacts
Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk