[HTML][HTML] A roadmap for high-resolution satellite soil moisture applications–confronting product characteristics with user requirements
Soil moisture observations are of broad scientific interest and practical value for a wide
range of applications. The scientific community has made significant progress in estimating …
range of applications. The scientific community has made significant progress in estimating …
Ensemble flood forecasting: Current status and future opportunities
Ensemble flood forecasting has gained significant momentum over the past decade due to
the growth of ensemble numerical weather and climate prediction, expansion in high …
the growth of ensemble numerical weather and climate prediction, expansion in high …
Improving the predictive skill of a distributed hydrological model by calibration on spatial patterns with multiple satellite data sets
M Dembélé, M Hrachowitz… - Water resources …, 2020 - Wiley Online Library
Hydrological model calibration combining Earth observations and in situ measurements is a
promising solution to overcome the limitations of the traditional streamflow‐only calibration …
promising solution to overcome the limitations of the traditional streamflow‐only calibration …
River basin-scale flood hazard assessment using a modified multi-criteria decision analysis approach: A case study
Flood is a major natural hazard with extremely large impact on social-ecological systems.
Therefore, developing reliable and efficient tools to identify areas vulnerable to potential …
Therefore, developing reliable and efficient tools to identify areas vulnerable to potential …
A multiscale deep learning model for soil moisture integrating satellite and in situ data
Deep learning (DL) models trained on hydrologic observations can perform extraordinarily
well, but they can inherit deficiencies of the training data, such as limited coverage of in situ …
well, but they can inherit deficiencies of the training data, such as limited coverage of in situ …
[HTML][HTML] Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters
A hydrologic model, calibrated using only streamflow data, can produce acceptable
streamflow simulation at the watershed outlet yet unrealistic representations of water …
streamflow simulation at the watershed outlet yet unrealistic representations of water …
The role of satellite-based remote sensing in improving simulated streamflow: A review
D Jiang, K Wang - Water, 2019 - mdpi.com
A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …
The data synergy effects of time‐series deep learning models in hydrology
When fitting statistical models to variables in geoscientific disciplines such as hydrology, it is
a customary practice to stratify a large domain into multiple regions (or regimes) and study …
a customary practice to stratify a large domain into multiple regions (or regimes) and study …
Evaluating the added value of multi-variable calibration of SWAT with remotely sensed evapotranspiration data for improving hydrological modeling
Hydrological processes in a watershed consist of multiple sub-processes (such as plant
growth, evapotranspiration, water yield, and soil–water balance) that have complex …
growth, evapotranspiration, water yield, and soil–water balance) that have complex …
A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes
This study presents a comprehensive validation of the Soil Moisture Active Passive (SMAP)
mission Enhanced Level-3 radiometer soil moisture (SM) product (Version 2) over 3 years …
mission Enhanced Level-3 radiometer soil moisture (SM) product (Version 2) over 3 years …