Model inter-comparison studies help to evaluate the agility of models to simulate variables of interest such as streamflow, evaporation and soil moisture. The study presented here is the third in a sequence of Great Lakes Runoff Intercomparison Projects (GRIP). The densely populated Lake Erie watershed studied here (GRIP-E) is facing major environmental issues such as eutrophication caused by urban and agricultural runoff. Seventeen hydrologic and land-surface models of different complexity are setup over the same domain using the same meteorological forcings and are compared regarding streamflow at 46 calibration and seven independent validation stations. The results show that 1) the good performance of Machine Learning models during calib...
Nachgenutzt gemäß den CC-Bestimmungen des Lizenzgebers bzw. einer im Dokument selbst enthaltenen CC-...
This thesis assesses long-term runoff projections from global multi-model ensembles used in hydrolog...
Large-scale hydrological models describing the terrestrial water balance at continental and global s...
Hydrologic model intercomparison studies help to evaluate the agility of models to simulate variable...
This dataset provides the shapefiles of the 46 calibration and 7 validation watersheds used within t...
This dataset provides gridded model simulations in NetCDF format over the Lake Erie using the GEM-Hy...
In the last decade, Lake Erie, one of the great lakes bordering Canada and the USA has been under se...
Land surface models (LSMs) simulate vertical fluxes, including evapotranspiration, in a rigorous man...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98795/1/wrcr20233.pd
We present a comprehensive evaluation of eleven process-based models to characterize the water cycle...
29 Pags.- 5 Figs.- 3 Tabls. Available online 7 September 2014. The definitive version is availabl...
This study presents a novel application of machine learning to deliver optimised, multi-model combin...
Hydrological models are simplified representations of the natural surface water dynamic system. This...
Methods for predicting streamflow in areas with limited or nonexistent measures of hydrologic respon...
ABSTRACT The Soil and Water Assessment Tool (SWAT), a physically-based watershed-scale model, holds...
Nachgenutzt gemäß den CC-Bestimmungen des Lizenzgebers bzw. einer im Dokument selbst enthaltenen CC-...
This thesis assesses long-term runoff projections from global multi-model ensembles used in hydrolog...
Large-scale hydrological models describing the terrestrial water balance at continental and global s...
Hydrologic model intercomparison studies help to evaluate the agility of models to simulate variable...
This dataset provides the shapefiles of the 46 calibration and 7 validation watersheds used within t...
This dataset provides gridded model simulations in NetCDF format over the Lake Erie using the GEM-Hy...
In the last decade, Lake Erie, one of the great lakes bordering Canada and the USA has been under se...
Land surface models (LSMs) simulate vertical fluxes, including evapotranspiration, in a rigorous man...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98795/1/wrcr20233.pd
We present a comprehensive evaluation of eleven process-based models to characterize the water cycle...
29 Pags.- 5 Figs.- 3 Tabls. Available online 7 September 2014. The definitive version is availabl...
This study presents a novel application of machine learning to deliver optimised, multi-model combin...
Hydrological models are simplified representations of the natural surface water dynamic system. This...
Methods for predicting streamflow in areas with limited or nonexistent measures of hydrologic respon...
ABSTRACT The Soil and Water Assessment Tool (SWAT), a physically-based watershed-scale model, holds...
Nachgenutzt gemäß den CC-Bestimmungen des Lizenzgebers bzw. einer im Dokument selbst enthaltenen CC-...
This thesis assesses long-term runoff projections from global multi-model ensembles used in hydrolog...
Large-scale hydrological models describing the terrestrial water balance at continental and global s...