Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations

Radiative flux
DOI: 10.1016/j.rse.2022.113324 Publication Date: 2022-11-26T00:39:14Z
ABSTRACT
Accurate estimates of carbon, water and energy fluxes between the Earth surface atmosphere are crucial for enhancing our understanding ecosystem–climate interactions. Such can be made by combining remote sensing derived land parameters with climate reanalysis data. We analysed to what degree generic (plant functional type (PFT)-independent) satellite-derived vegetation properties data explain extent PFT-specific information extends flux simulations. For this purpose, we used Soil Canopy Observation, Photochemistry Energy (SCOPE) model, which combines radiative transfer in plant leaves canopies photosynthesis balance a single model representation vegetation. evaluated performance SCOPE simulating comparison 63 eddy covariance sites representing 10 PFTs. varied sources maximum carboxylation capacity (Vcmax25) BallBerrySlope values (default vs literature), seasonality Vcmax25 meteorological forcing (locally measured reanalysis). The average daily terms root-mean-square error (RMSE) was 2.3 ± 0.8 μmol CO2 m−2 s−1 (R2= 0.74 0.12) gross primary productivity (GPP), 24 8 W 0.68 0.16) latent heat (λE) 50 15 (R20.47±0.17) sensible (H). inter-site variability annual accumulated GPP captured well seasonally varying 0.74, RMSE = 308 g C yr−1 bias −68 yr−1). evapotranspiration (ET) overestimated 0.31, 101 mm 37 yr−1), mainly ecosystems subtropical Mediterranean climate, soil resistance evaporation from porous space (rss) had constrained moisture content (SMC) or temperature (LST). Overall, study demonstrates that simulate ecosystem high accuracy without site-specific calibration its parameters.
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