Wouter Dorigo
Datos Biográficos
| ID | 6824630 |
|---|---|
| NOMBRE | Wouter Dorigo |
| NOMBRES | Wouter |
| APELLIDO | Dorigo |
| FIRMA | DORIGO W |
| AFILIACIONES | TU Wien |
| ORCID | 0000-0001-8054-7572 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
A satellite-based assessment of ERA5 soil moisture and land surface temperature interannual co-variability
Land surface temperature provides a fingerprint of the surface energy balance. Under similar radiative forcing, particularly during daytime and clear-sky conditions, its temporal variability is expected to be coupled to surface conditions such as availability of soil moisture and plant functional conditions. In this study, we use Earth observations to identify regions with a strong interannual co-variability between the diurnal amplitude of land …
GLEAM v3
The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is pr…
Vegetation anomalies caused by antecedent precipitation in most of the world
Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predictive model, we exploit the current wealth of multi-decadal satellite data records to uncover the main drivers of monthly vegetation variability at the global scale. Results indicate that water availabil…
Contribution of water-limited ecoregions to their own supply of rainfall
The occurrence of wet and dry growing seasons in water-limited regions remains poorly understood, partly due to the complex role that these regions play in the genesis of their own rainfall. This limits the predictability of global carbon and water budgets, and hinders the regional management of naturalresources. Using novel satellite observations and atmospheric trajectory modelling, we unravel the origin and immediate drivers of growing-season …
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Contribution of water-limited ecoregions to their own supply of rainfall
The occurrence of wet and dry growing seasons in water-limited regions remains poorly understood, partly due to the complex role that these regions play in the genesis of their own rainfall. This limits the predictability of global carbon and water budgets, and hinders the regional management of naturalresources. Using novel satellite observations and atmospheric trajectory modelling, we unravel the origin and immediate drivers of growing-season …
GLEAM v3
The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is pr…
Vegetation anomalies caused by antecedent precipitation in most of the world
Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predictive model, we exploit the current wealth of multi-decadal satellite data records to uncover the main drivers of monthly vegetation variability at the global scale. Results indicate that water availabil…
A satellite-based assessment of ERA5 soil moisture and land surface temperature interannual co-variability
Land surface temperature provides a fingerprint of the surface energy balance. Under similar radiative forcing, particularly during daytime and clear-sky conditions, its temporal variability is expected to be coupled to surface conditions such as availability of soil moisture and plant functional conditions. In this study, we use Earth observations to identify regions with a strong interannual co-variability between the diurnal amplitude of land …
Atmospheric sciences (3 obras) · Climate change (3 obras) · Environmental Science (3 obras) · Geography (3 obras) · Vegetation (pathology (3 obras) · Climatology (2 obras) · Ecology (2 obras) · Ecosystem (2 obras) · Meteorological Phenomena and Simulations (2 obras) · Meteorology (2 obras)