Results 131 to 140 of about 85,946 (292)
USE OF PRECIPITATION RECORDS IN THE CORRELATION OF STREAMFLOW RECORDS [PDF]
Robert O. R. Martin
openalex +1 more source
Long range experimental hydrologic forecasting for the eastern U.S. [PDF]
We explore a strategy for long-range hydrologic forecasting that uses ensemble climate model forecasts as input to a macroscale hydrologic model to produce runoff and streamflow forecasts at spatial and temporal scales appropriate for water management ...
Kumar, Arun+3 more
core +1 more source
Evaluating Watershed Response Using WEPPcloud—EU for Wildfire Burned Areas in Portugal
We tested WEPPcloud—European Union (EU) model on two burned catchments in Portugal, revealing the importance of local data for accurate simulation. Incorporating national and catchment‐specific data decreased equifinality and simplified model calibration.
Marta Basso+4 more
wiley +1 more source
EVALUATION OF WEATHER MODIFICATION AS EXPRESSED IN STREAMFLOW RESPONSE [PDF]
V. M. Yevdjevich
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Influence of glaciers on streamflow
The map shows the location of glaciers and ice caps and also indicates the rivers and the lakes, which are fed by a glacier (or an ice cap) meltwater. The purpose of this plate is to identify those streams which are fed by glacier meltwaters. Because of the scale of the map, many minor glaciers have not been shown and, hence, streams fed by such ...
openaire +1 more source
As streamflow integrates ecohydrological signals over time and space, the analyses of diel streamflow cycles (DSCs) can help understand the processes that control variations in diurnal streamflow. After synchronising the DSCs along the longitudinal river profile of an alpine headwater catchment, we can remove (at least reduce) the meltwater influence ...
Klaus Vormoor+3 more
wiley +1 more source
Preliminary Test of ERTS-1 Imagery for Improving Definition of Natural Streamflow [PDF]
Preliminary test of ERTS-1 imagery for improving definition of natural streamflow, using two basins in Chesapeake Bay ...
Hollyday, E. F.
core +1 more source
We capture the snow cover variability in Berchtesgaden National Park (Bavaria, Germany) depending on topography, snow‐canopy processes, and differences between snow‐poor and snow‐rich winters by means of distributed simulations. Our results point out that snow cover duration and snow disappearance day are highly variable in time and space and that snow
Brage Storebakken+3 more
wiley +1 more source
Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods
Streamflow prediction is crucial for flood monitoring and early warning, which often hampered by bias and uncertainties arising from nonlinear processes, model parameterization, and errors in meteorological forecast.
Hiren Solanki+3 more
doaj +1 more source
Erratum for “Synthetic Coefficients for Streamflow Routing” [PDF]
Jose A. Buil
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