Sphagnum and Herbaceous Net Ecosystem Exchanges in a Pyrenean Peatland: A Long-Term Study Using the ISBA Model

Dataset associated with the publication:Sphagnum and herbaceous net ecosystem exchanges in a Pyrenean peatland: a long-term study using the ISBA model.Garisoain R., Delire C., Decharme B., Gandois L. This release contains: Atmospheric forcings from 1959 to 2022, including hourly air temperature (K), hourly precipitation (mm/h), hourly vapor pressure deficit (Pa), hourly surface pressure (Pa), and hourly relative humidity. These data are derived from the S2M reanalysis chain (SAFRAN–SURFEX, ISBA–Crocus–MEPRA) over the Bernadouze peatland, with a vertical resolution of 300 m on the Couserans massif. (forcings.csv) Mean spatial hourly water table depth (m) measured across the Bernadouze peatland from 2017 to 2022, using nine Orpheus Mini Water Level Loggers (OTT HydroMet, Germany). (WTD_mean_2017_2022_std.csv) Statistical GPP and ER models from Garisoain et al. (2024), calibrated notably from field flux chamber measurements collected between 2017 and 2022. (GPP/ER_model.csv) Hourly water table depth simulated from ISBA outputs between 1959 and 2022 for herbaceous, Sphagnum and mixed vegetation. (WTD_ISBA.csv) Hourly GPP and ER fluxes related to herbaceous vegetation, simulated with the ISBA model. (herbaceous_ISBA.csv) Hourly GPP and ER fluxes related to Sphagnum vegetation, simulated with the ISBA model. (sphagnum_ISBA.csv) Dryness index used in the study. (dryness_index.csv) The sphagnum_code folder contains an option.nam file, the FORCING.nc file and an example of an executable exp_cc.proc to allow the code to loop over the forcings file for long simulation. It also includes the Sphagnum sources files in thesphagnum_src folder required to run the newly implemented Sphagnum module. For instructions on installing the SURFEX code, see https://www.umr-cnrm.fr/surfex/. The SURFEX V9 version can be downloaded from http://www.umr-cnrm.fr/surfex/spip.php?article387. The ISBA_outputs_WTD folder contains the script diag_WTD_clean.py, which provides an example of how to calculate the Water Table Depth (WTD) from ISBA outputs, as described in equations (15) and (16). It also includes examples of the volumetric water and ice content files for each soil layer from ISBA.