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.
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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15 citations as recorded by crossref.
- Sensitivity of Convection-Permitting Regional Climate Simulations to Changes in Land Cover Input Data: Role of Land Surface Characteristics for Temperature and Climate Extremes M. Tölle & E. Churiulin 10.3389/feart.2021.722244
- Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan R. Khan et al. 10.1007/s10661-022-10072-1
- Validation of Landsat 8 high resolution Sea Surface Temperature using surfers Q. Vanhellemont et al. 10.1016/j.ecss.2021.107650
- Global coastal low‐level wind jets revisited through the new ERA5 reanalysis D. Lima et al. 10.1002/joc.7482
- Evaluating and improving simulations of diurnal variation in land surface temperature with the Community Land Model for the Tibetan Plateau X. Ma et al. 10.7717/peerj.11040
- Upgrading Land‐Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis M. Nogueira et al. 10.1029/2020JD034163
- Global Evapotranspiration Datasets Assessment Using Water Balance in South America A. Ruhoff et al. 10.3390/rs14112526
- Sensitivity of Surface Fluxes in the ECMWF Land Surface Model to the Remotely Sensed Leaf Area Index and Root Distribution: Evaluation with Tower Flux Data D. Stevens et al. 10.3390/atmos11121362
- Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data J. Gaona et al. 10.5194/nhess-22-3461-2022
- Exploring the relationship between temperature forecast errors and Earth system variables M. Ruiz-Vásquez et al. 10.5194/esd-13-1451-2022
- Effects of satellite LAI data on modelling land surface temperature and related energy budget in the Noah-MP land surface model A. Huang et al. 10.1016/j.jhydrol.2022.128351
- Assessment of surface roughness and fractional vegetation coverage in the CoLM for modeling regional land surface temperature X. Yuan et al. 10.1016/j.agrformet.2021.108390
- 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
- ECLand: The ECMWF Land Surface Modelling System S. Boussetta et al. 10.3390/atmos12060723
- ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
1 citations as recorded by crossref.
Latest update: 25 Sep 2023
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