Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-3975-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-3975-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
03 Sep 2020
Model evaluation paper |
| 03 Sep 2020
| 03 Sep 2020
Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia
Instituto Dom Luiz, IDL, Faculty of Sciences, University of Lisbon,
1749-016 Lisbon, Portugal
Clément Albergel
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
now at: European Space Agency Climate Office, ECSAT, Harwell Campus, OX11 0FD Didcot, Oxfordshire, UK
Souhail Boussetta
ECMWF, Reading, UK
Frederico Johannsen
Instituto Dom Luiz, IDL, Faculty of Sciences, University of Lisbon,
1749-016 Lisbon, Portugal
Isabel F. Trigo
Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal
Sofia L. Ermida
Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal
João P. A. Martins
Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal
Emanuel Dutra
Instituto Dom Luiz, IDL, Faculty of Sciences, University of Lisbon,
1749-016 Lisbon, Portugal
Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal
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- Evaluation of Daily Temperature Extremes in the ECMWF Operational Weather Forecasts and ERA5 Reanalysis F. Lopes et al. 10.3390/atmos15010093
- Global coastal low‐level wind jets revisited through the new ERA5 reanalysis D. Lima et al. 10.1002/joc.7482
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- A satellite view of the exceptionally warm summer of 2022 over Europe J. Martins et al. 10.5194/nhess-24-1501-2024
- On the deep learning approach for improving the representation of urban climate: The Paris urban heat island and temperature extremes F. Johannsen et al. 10.1016/j.uclim.2024.102039
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- Towards an improved representation of the urban heat island effect : A multi-scale application of XGBoost for madrid A. Bushenkova et al. 10.1016/j.uclim.2024.101982
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- Improving process-consistency of an ecohydrological model through inclusion of spatial patterns of satellite-derived land surface temperature D. Duethmann et al. 10.1016/j.jhydrol.2023.130433
- Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using the METEOSAT land surface temperature product M. Nogueira et al. 10.5194/gmd-15-5949-2022
- Examining the role of biophysical feedbacks on simulated temperature extremes during the Tinderbox Drought and Black Summer bushfires in southeast Australia M. Mu et al. 10.1016/j.wace.2024.100703
- High-resolution urban climate simulations for heat and health applications in Philadelphia B. Le Roy et al. 10.1016/j.uclim.2024.102114
- Impact of Updating Vegetation Information on Land Surface Model Performance M. Ruiz‐Vásquez et al. 10.1029/2023JD039076
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- Impact of Three Gorges Reservoir Water Impoundment on Vegetation–Climate Response Relationship M. Tian et al. 10.3390/rs12172860
Latest update: 20 Nov 2024
Short summary
We used earth observations to evaluate and improve the representation of land surface temperature (LST) and vegetation coverage over Iberia in CHTESSEL and SURFEX land surface models. We demonstrate the added value of updating the vegetation types and fractions together with the representation of vegetation coverage seasonality. Results show a large reduction in daily maximum LST systematic error during warm months, with neutral impacts in other seasons.
We used earth observations to evaluate and improve the representation of land surface...
Special issue