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. Full details about this dataset can be found at https://doi.org/10.5285/ad86c0d3-624c-4ae3-9280-8d1ccbe14929
dataset
https://data-package.ceh.ac.uk/data/ad86c0d3-624c-4ae3-9280-8d1ccbe14929
name: Download the data
description: Download a copy of this data
function: download
https://data-package.ceh.ac.uk/sd/ad86c0d3-624c-4ae3-9280-8d1ccbe14929.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/ad86c0d3-624c-4ae3-9280-8d1ccbe14929
doi:
eng
biota
Environmental Monitoring Facilities
publication
2008-06-01
Ecohydrology
dryland forest
Caatinga
North-East Brazil
-42.495
-39.748
-7.559
-11.07
2011-01-01
2011-12-31
publication
2021-06-30
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.
publication
2010-12-08
txt
If you reuse this data, you should 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
University of Reading
author
Imperial College, London
author
Brazilian Agricultural Research Corporation, Brazil
author
University of Reading
pointOfContact
NERC EDS Environmental Information Data Centre
custodian
University of Reading
owner
NERC EDS Environmental Information Data Centre
publisher
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2022-06-01T08:02:10