Verhoef, A. ; Nobrega, R.L.B.; De Moura, M.S.B.

Water and carbon balance outputs of a mechanistic ecosystem model for a Caatinga dryland forest in north-east Brazil

This dataset contains half-hourly output data (for the year 2011) generated by a preliminary version of the Shrubland Ecosystem Assessment (SEcA) model. SEcA calculates the ecosystem processes for a semi-arid shrubland system, for this dataset the model has been configured for a Caatinga ecosystem. The model generates 4 output files, those generating the aerodynamic and surface resistances, state variables, energy balance fluxes, and carbon flux-related outputs. The data provided here relate to model runs with the JULES Farquhar model, with the Sinclair plant water stress switched on.

This work was funded by Newton/NERC/FAPESP Nordeste project: NE/N012488/1.

Publication date: 2021-06-30

Get the data

This dataset is available under the terms of the Open Government Licence

Format of the data: txt

You must cite: Verhoef, A. ; Nobrega, R.L.B.; De Moura, M.S.B. (2021). Water and carbon balance outputs of a mechanistic ecosystem model for a Caatinga dryland forest in north-east Brazil. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/ad86c0d3-624c-4ae3-9280-8d1ccbe14929

 

Where/When

Study area
Temporal extent
2011-01-01    to    2011-12-31

Provenance & quality

The main program (in Fortran) reads in the required input data (meteorological data, plant physiological parameters and soil hydraulic parameters) and calls the key subroutines that execute the calculation of the resistance network, fluxes (energy, water and carbon) and above-ground state variables. Input data have been quality-checked for outliers.

Correspondence/contact details

Prof Anne Verhoef
University of Reading
 a.verhoef@reading.ac.uk

Authors

Verhoef, A.
University of Reading
Nobrega, R.L.B.
Imperial College, London
De Moura, M.S.B.
Brazilian Agricultural Research Corporation, Brazil

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Rights Holder
University of Reading
 a.verhoef@reading.ac.uk

Additional metadata

Topic categories
Biota
Keywords
Caatinga,  dryland forest,  Ecohydrology,  North-East Brazil
INSPIRE Theme
Environmental Monitoring Facilities
Funding
Natural Environment Research Council Award: NE/N012488/1
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84 / Pseudo-Mercator
Last updated
01 June 2022 08:02