Preprints
https://doi.org/10.5194/esdd-6-217-2015
https://doi.org/10.5194/esdd-6-217-2015
09 Feb 2015
 | 09 Feb 2015
Status: this preprint was under review for the journal ESD but the revision was not accepted.

Appraising the capability of a land biosphere model as a tool in modelling land surface interactions: results from its validation at selected European ecosystems

M. R. North, G. P. Petropoulos, G. Ireland, and J. P. McCalmont

Abstract. In this present study the ability of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) model in estimating key parameters characterising land surface interactions was evaluated. Specifically, SimSphere's performance in predicting Net Radiation (Rnet), Latent Heat (LE), Sensible Heat (H) and Air Temperature (Tair) at 1.3 and 50 m was examined. Model simulations were validated by ground-based measurements of the corresponding parameters for a total of 70 days of the year 2011 from 7 CarboEurope network sites. These included a variety of biomes, environmental and climatic conditions in the models evaluation.

Overall, model performance can largely be described as satisfactory for most of the experimental sites and evaluated parameters. For all model parameters compared, predicted H fluxes consistently obtained the highest agreement to the in-situ data in all ecosystems, with an average RMSD of 55.36 W m−2. LE fluxes and Rnet also agreed well with the in-situ data with RSMDs of 62.75 and 64.65 W m−2 respectively. A good agreement between modelled and measured LE and H fluxes was found, especially for smoothed daily flux trends. For both Tair 1.3 m and Tair 50 m a mean RMSD of 4.14 and 3.54 °C was reported respectively.

This work presents the first all-inclusive evaluation of SimSphere, particularly so in a European setting. Results of this study contribute decisively towards obtaining a better understanding of the model's structure and its correspondence to the real world system. Findings also further establish the model's capability as a useful teaching and research tool in modelling Earth's land surface interactions. This is of considerable importance in the light of the rapidly expanding use of the model worldwide, including ongoing research by various Space Agencies examining its synergistic use with Earth Observation data towards the development of operational products at a global scale.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
M. R. North, G. P. Petropoulos, G. Ireland, and J. P. McCalmont
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
M. R. North, G. P. Petropoulos, G. Ireland, and J. P. McCalmont
M. R. North, G. P. Petropoulos, G. Ireland, and J. P. McCalmont

Viewed

Total article views: 1,694 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,212 346 136 1,694 97 130
  • HTML: 1,212
  • PDF: 346
  • XML: 136
  • Total: 1,694
  • BibTeX: 97
  • EndNote: 130
Views and downloads (calculated since 09 Feb 2015)
Cumulative views and downloads (calculated since 09 Feb 2015)

Cited

Latest update: 13 Dec 2024
Download
Short summary
This study evaluated the ability of the SimSphere SVAT model in estimating key parameters characterising land surface interactions. Results confirmed the correspondence of the model structure to real conditions for which it had been parameterised, evidencing its ability to reproduce outputs akin to the in situ data. To our knowledge this is the first comprehensive validation of the model. Findings are very important since use of the model is growing globally as educational and research tool.
Altmetrics