Droughts can have strong environmental and socio-economic impacts in the Mediterranean
region, in particular for countries relying on rain-fed agricultural production, but also in areas …

The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …

Predicting terrestrial carbon, C, budgets and carbon‐climate feedbacks strongly relies on
our ability to accurately model interactions between vegetation, C and water cycles, and the …

The precise determination of evapotranspiration rate is challenging because it is a quantity
that is difficult to measure and to parametrize. Direct estimates include the determination of …

Data assimilation (DA) of remotely sensed leaf area index (LAI) can help to improve land
surface model estimates of energy, water, and carbon variables. So far, most studies have …

Vegetation dynamics have different effects on the terrestrial water cycle and therefore play
an important role in catchment-scale biophysical and hydrological modeling. Meanwhile …

This work tests the hypothesis that jointly assimilating satellite observations of leaf area
index and surface soil moisture into a land surface model improves the estimation of land …

This study presents an evaluation of the impact of vegetation conditions on a land surface
model (LSM) simulation of agricultural drought. The Noah-MP LSM is used to simulate water …

Heavy precipitation (HP) constitutes a major meteorological threat in the western
Mediterranean (WMed). Every year, recurrent events affect the area with fatal consequences …

LDAS-Monde is a global offline land data assimilation system (LDAS) that jointly assimilates
satellite-derived observations of surface soil moisture (SSM) and leaf area index (LAI) into …