HYBRAS - Hydrophysical Database for Brazilian Soils

Collaborators: Department of Hydrology of the Geological Service of Brazil / CPRM, supported by the Federal University of Rio de Janeiro/Brazil, the Federal University of São Carlos/Brazil and international researchers.

HYBRAS gathers water retention data in a wide suction range (0-15000 cm) of Brazilian soils, all measured in undisturbed samples, as well as saturated hydraulic conductivity, granulometric fractions, particle density and bulk density and carbon content data with information of the sites from where the soil samples were obtained. The methodology for determining these soil properties is also available in HYBRAS. It is envisaged in the future to include in HYBRAS unsaturated hydraulic conductivity data!

The Geological Survey of Brazil, in partnership with other research institutions, is developing several pedotransfer functions of hydraulic properties in the Brazilian territory so that they can be used as input data in Brazilian soil modeling studies.

Contact Marta Vasconcelos Ottoni from Geological Survey (CPRM) Brazil or visit

HYBRAS website in english: http://www.cprm.gov.br/en/Hydrology/Research-and-Innovation/HYBRAS-4208.html

HYBRAS.GIS: http://cprm.maps.arcgis.com/apps/webappviewer/index.html?id=251b6d9f660f483d85b9c164948c5d50

HYBRAS paper: https://dl.sciencesocieties.org/publications/vzj/articles/17/1/170095

ISMCs Soil Water Infiltration Global Database

Information gathered in our community and published:

Rahmati, Mehdi; Weihermüller, Lutz; Vereecken, Harry (2018): Soil Water Infiltration Global (SWIG) Database. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.885492

Supplement to: Rahmati, M et al. (2018): Development and Analysis of Soil Water Infiltration Global Database. Earth System Science Data

Site/Lysimeter scale data

• SoilCan Data

Details

• Site scale soil data on soil retention and conductivity curve (sDB), Vereecken 2007.

Further featured in: Revisiting Vereecken Pedotransfer Functions: Introducing a Closed-Form Hydraulic Model. By: Weynants, M.; Vereecken, H.; Javaux, M. VADOSE ZONE JOURNAL   Volume: 8   Issue: 1   Pages: 86-95   Published: FEB 2009

The link to the data base archive: https://doi.pangaea.de/10.1594/PANGAEA.879233

Catchment scale data
Eifel/Lower Rhine Valley Observatory
Details

Basin to continental/global scale data

• Mualem-Van Genuchten data at continental scale:

the link to the paper: https://www.earth-syst-sci-data.net/9/529/2017/

and this the link to the data set: https://doi.pangaea.de/10.1594/PANGAEA.870605

another data set is published with sub-grid soil moisture variability of satellite products: https://doi.pangaea.de/10.1594/PANGAEA.878889

• SoilGrids: global soil property and class maps (read more)

• For long term experiments (either Long Term agricultural field sites, or Long Term Ecological Research sites), a comprehensive global inventory/map with links to the site soil databases is recently hosted by the ISCN website: Long term Soil experiments databases

http://iscn.fluxdata.org/partner-networks/long-term-soil-experiments-map/

• Other avenues to find soil site data are more regional/national:

For US: WSS: https://websoilsurvey.nrcs.usda.gov/app/HomePage.htm

For Europe: ESDAC: http://esdac.jrc.ec.europa.eu/resource-type/datasets

Global data networks:

• Flux tower eddy covariance flux measurements of carbon, water vapor and energy exchange information at the Fluxnet global fluxdata portal: http://fluxnet.fluxdata.org/
• SOC dataset (and associated soil information) of International Soil Carbon Network (ISCN) Database: http://iscn.fluxdata.org/data/access-data/
• For specific  Carbon Assimilation and Modelling of the European Land Surfaces (CAMELS): Carbon flux data and Model Parameters and their ranges http://camels.metoffice.com/RequestData.html
• Soil moisture data is retrieved and stored at:

International Soil Moisture Network: http://www.geo.tuwien.ac.at/insitu/data_viewer/ISMN.php

or satellite derived:

global ECV soil moisture data set: http://www.esa-soilmoisture-cci.org/node/145

or NASAs SMAP data with daily soil moisture:  https://smap.jpl.nasa.gov/data/

that also provides derived information from soil moisture and temperature inputs with ancillary land cover classification and vegetation gross primary productivity (GPP) inputs to compute the net ecosystem exchange (NEE) of carbon dioxide with the atmosphere over global vegetated land areas.