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 …

Challenges in understanding the variability of the cryosphere in the Himalaya and its impact on regional water resources

BD Vishwakarma, R Ramsankaran, MF Azam… - Frontiers in …, 2022 - frontiersin.org
The Himalaya plays a vital role in regulating the freshwater availability for nearly a billion
people living in the Indus, Ganga, and Brahmaputra River basins. Due to climate change …

Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years

M Troin, R Arsenault, AW Wood, F Brissette, JL Martel - 2021 - Wiley Online Library
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models

B Mohammadi, R Moazenzadeh, K Christian… - … Science and Pollution …, 2021 - Springer
Accurate and timely monitoring of streamflow and its variation is crucial for water resources
management in watersheds. This study aimed at evaluating the performance of two process …

Can remotely sensed actual evapotranspiration facilitate hydrological prediction in ungauged regions without runoff calibration?

Y Zhang, FHS Chiew, C Liu, Q Tang… - Water Resources …, 2020 - Wiley Online Library
Runoff prediction in ungauged catchments is a significant hydrological challenge. The
common approach is to calibrate hydrological models against streamflow data from gauged …

Sensitivity analysis of the hyperparameters of an ensemble Kalman filter application on a semi-distributed hydrological model for streamflow forecasting

B Sabzipour, R Arsenault, M Troin, JL Martel… - Journal of …, 2023 - Elsevier
Data Assimilation (DA) is an important step for improving prediction accuracy and real-time
correction of hydrological models for operational forecasting purposes. The Ensemble …

Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling

M Paul, A Rajib, M Negahban-Azar… - Science of The Total …, 2021 - Elsevier
In watersheds located in semi-arid regions, vegetation dynamics, evapotranspiration (ET),
and associated water and energy balances collectively play a major role in controlling …

A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment

A Kumar, R Ramsankaran, L Brocca… - Journal of Hydrology, 2021 - Elsevier
Real-time streamflow modeling is a challenging endeavor in regions where real-time ground-
based hydro-meteorological observations are scarce. Nevertheless, with the emergence of …

Enhancing SWAT model with modified method to improve Eco-hydrological simulation in arid region

Y Cai, F Zhang, J Shi, VC Johnson, Z Ahmed… - Journal of Cleaner …, 2023 - Elsevier
Abstract The Soil and Water Assessment Tool (SWAT) model is diffusely applied to areas
with uniform precipitation distribution and gentle slopes. However, the SWAT has apparent …

Assimilation of satellite soil moisture products for river flow prediction: An extensive experiment in over 700 catchments throughout Europe

D De Santis, D Biondi, WT Crow… - Water Resources …, 2021 - Wiley Online Library
In this study, we perform a data assimilation (DA) experiment on a very large number (> 700)
of small‐and medium‐scale (150–10,000 km2) European catchments to assess the impact …