Articles | Volume 21, issue 5
https://doi.org/10.5194/hess-21-2483-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-2483-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 May 2017
Research article |
| 11 May 2017
Advancing land surface model development with satellite-based Earth observations
European Centre for Medium-Range Weather Forecasts, Shinfield Park,
Reading RG2 9AX, UK
Institute for Atmospheric and Climate Science,
ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland
Emanuel Dutra
European Centre for Medium-Range Weather Forecasts, Shinfield Park,
Reading RG2 9AX, UK
Instituto Dom Luiz, Faculdade de Ciências, Universidade de
Lisboa, 1749-016 Lisbon, Portugal
Isabel F. Trigo
Instituto Dom Luiz, Faculdade de Ciências, Universidade de
Lisboa, 1749-016 Lisbon, Portugal
Instituto Português do Mar e
da Atmosfera, 1749-077 Lisbon, Portugal
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts, Shinfield Park,
Reading RG2 9AX, UK
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- 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
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- Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data A. Jia et al. 10.5194/essd-15-869-2023
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- Validation of ECMWF climatic data, 1979–2017, and implications for modelling water balance for tropical climates L. de Oliveira Aparecido et al. 10.1002/joc.6604
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. 10.3390/rs11243044
- Caracterização Hídrica Espacial e Sazonal de Mato Grosso do Sul com Dados em Grid L. Aparecido et al. 10.1590/0102-7786351018
- Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information P. Song et al. 10.1016/j.jag.2024.103703
- Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review A. Jia et al. 10.1109/MGRS.2024.3421268
- Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop I. Trigo et al. 10.1016/j.isprsjprs.2021.03.013
- Cold Bias of ERA5 Summertime Daily Maximum Land Surface Temperature over Iberian Peninsula F. Johannsen et al. 10.3390/rs11212570
- A Comprehensive Clear-Sky Database for the Development of Land Surface Temperature Algorithms S. Ermida & I. Trigo 10.3390/rs14102329
- Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data A. Jia et al. 10.1016/j.rse.2022.113105
- Observed Decrease in Soil and Atmosphere Temperature Coupling in Recent Decades Over Northern Eurasia L. Chen et al. 10.1029/2021GL092500
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- Interannual land cover and vegetation variability based on remote sensing data in the HTESSEL land surface model: implementation and effects on simulated water dynamics F. van Oorschot et al. 10.5194/esd-14-1239-2023
- 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
- Verification of Land–Atmosphere Coupling in Forecast Models, Reanalyses, and Land Surface Models Using Flux Site Observations P. Dirmeyer et al. 10.1175/JHM-D-17-0152.1
- Validation of Landsat 8 high resolution Sea Surface Temperature using surfers Q. Vanhellemont et al. 10.1016/j.ecss.2021.107650
- Estimation of LST from multi-sensor thermal remote sensing data and evaluating the influence of sensor characteristics. I. Dar et al. 10.1080/19475683.2019.1623318
- A new East African satellite data validation station: Performance of the LSA-SAF all-weather land surface temperature product over a savannah biome T. Dowling et al. 10.1016/j.isprsjprs.2022.03.003
- Getting the leaves right matters for estimating temperature extremes G. Duveiller et al. 10.5194/gmd-16-7357-2023
- Contrasting Hydroclimatic Model‐Data Agreements Over the Nordic‐Arctic Region A. Bring et al. 10.1029/2019EF001296
- Impact of Updating Vegetation Information on Land Surface Model Performance M. Ruiz‐Vásquez et al. 10.1029/2023JD039076
- Acurácia da Reanálise ERA-Interim do ECMWF e sua Aplicação na Estimativa da Deficiência Hídrica no Estado do Paraná, Brasil L. Aparecido et al. 10.1590/0102-7786344066
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- A novel approach combining satellite and in situ observations to estimate the daytime variation of land surface temperatures for all sky conditions A. Inamdar & R. Leeper 10.1016/j.srs.2024.100127
Latest update: 15 Jan 2025
Short summary
State-of-the-art land surface models (LSMs) rely on poorly constrained parameters. To enhance LSM configuration, new satellite-based Earth observations are essential. This is because multiple observational datasets allow us to assess and validate the representation of coupled processes in LSMs. The resulting improved LSM configuration is beneficial for coupled weather forecasts, and hence valuable to society.
State-of-the-art land surface models (LSMs) rely on poorly constrained parameters. To enhance...
