Accurate estimates of root zone soil moisture (RZSM) at relevant spatio-temporal scales are
essential for many agricultural and hydrological applications. Applications of machine …

Soil moisture (SM) is of paramount importance in irrigation scheduling, infiltration, runoff,
and agricultural drought monitoring. This work aimed at evaluating the performance of the …

For flood simulation in humid catchments, utilizing discharge observations to update the
states of hydrological models may enhance performance. Asynchronous Ensemble Kalman …

Soil moisture content (SMC) information at field scale could have important applications in
agricultural and regional water management. This study presents an operationally …

For flood simulation in small-and medium-sized catchments, discharge observations may be
used to update model states of a distributed hydrological model to improve performance …

While machine learning (ML) is used to correct gridded soil moisture (SM) products by fusing
in-situ observations, the contribution of land surface model (LSM)-and satellite-based SM …

The Twente region in the east of the Netherlands has a network with 20 soil monitoring
stations that has been utilized for validation of the Soil Moisture Active/Passive (SMAP) …

We evaluate the soil moisture hindcasts and the reconstruction runs giving the hindcasts
initial conditions in version 2.1 of the Canadian Seasonal to Interannual Prediction System …

The increasing availability of remotely sensed soil moisture data offers new opportunities for
data-driven modelling approaches as alternatives for process-based modelling. This study …

Spread across Twente and its neighbouring regions in the east of the Netherlands, a
network of 20 profile soil moisture and temperature (5, 10, 20, 40, and 80 cm depths) …