[HTML][HTML] Sources of hydrological model uncertainties and advances in their analysis
Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
S Razavi - Environmental Modelling & Software, 2021 - Elsevier
Recent breakthroughs in artificial intelligence (AI), and particularly in deep learning (DL),
have created tremendous excitement and opportunities in the earth and environmental …
have created tremendous excitement and opportunities in the earth and environmental …
Ten years of science based on the Canadian precipitation analysis: A CaPA system overview and literature review
Near real-time quantitative precipitation estimates are required for many applications
including weather forecasting, flood forecasting, crop management, forest fire prevention …
including weather forecasting, flood forecasting, crop management, forest fire prevention …
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 …
[HTML][HTML] Representation and improved parameterization of reservoir operation in hydrological and land-surface models
Reservoirs significantly affect flow regimes in watershed systems by changing the
magnitude and timing of streamflows. Failure to represent these effects limits the …
magnitude and timing of streamflows. Failure to represent these effects limits the …
Influences of climatic variability and human activities on terrestrial water storage variations across the Yellow River basin in the recent decade
J Xie, YP Xu, Y Wang, H Gu, F Wang, S Pan - Journal of Hydrology, 2019 - Elsevier
Terrestrial water storage (TWS) variations can be influenced by both climatic variability and
human activities. In this study, we made an integrated use of GRACE data and …
human activities. In this study, we made an integrated use of GRACE data and …
Using remote sensing data‐based hydrological model calibrations for predicting runoff in ungauged or poorly gauged catchments
Because remote sensing (RS) data are spatially and temporally explicit and available across
the globe, they have the potential to be used for predicting runoff in ungauged catchments …
the globe, they have the potential to be used for predicting runoff in ungauged catchments …
[HTML][HTML] VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis
VARS-TOOL is a software toolbox for sensitivity and uncertainty analysis. Developed
primarily around the “Variogram Analysis of Response Surfaces” framework, VARS-TOOL …
primarily around the “Variogram Analysis of Response Surfaces” framework, VARS-TOOL …
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational …
Dynamical earth and environmental systems models are typically computationally intensive
and highly parameterized with many uncertain parameters. Together, these characteristics …
and highly parameterized with many uncertain parameters. Together, these characteristics …
Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets?
Hydrological models are usually calibrated to in‐situ streamflow observations with
reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged …
reasonably long and uninterrupted records. This is challenging for poorly gage or ungaged …