Results 21 to 30 of about 6,210 (233)
Evaluating Global Reanalysis Datasets as Input for Hydrological Modelling in the Sudano-Sahel Region [PDF]
Hydrology, 2017 This paper investigates the potential of using global reanalysis datasets as input for hydrological modelling in the data-scarce Sudano-Sahel region. To achieve this, we used two global atmospheric reanalyses (Climate Forecasting System Reanalysis and ...
Elias Nkiaka, N. R. Nawaz, Jon C. Lovett
doaj +5 more sources
MAUSAMAmong the different inputs for the hydrological model, well distributed and precise precipitation datahas a crucial role in accurately simulating the various processes in a watershed. Poor distribution network of rain gauges and lack of precise precipitation data is one of the most important problems involved in many Indian watersheds.
NAGA HARI SAIRAM N., ANU VARUGHESE
openaire +2 more sources
Ocean Engineering, 2016 Abstract Wind and wave characteristics and their long-term variability in the Black Sea over a period of 31 years are investigated in this study. The state-of-the art spectral wave model SWAN is implemented to perform a 31- year wave hindcast in the area of interest. The simulation results are used to assess the inter-annual variability and long-term
Adem Akpinar +2 more
exaly +4 more sources
EVALUATING HYDROLOGIC MODEL PERFORMANCE OF GLOBAL AND LOCAL WEATHER DATA INPUTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Runoffs from hydrologic models are often used in flood models, among other applications. These runoffs are converted from rainfall, signifying the importance of weather data accuracy. A common challenge for modelers is local weather data sparsity in most
J. Serrano +4 more
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Journal of Water and Climate Change, 2022 The spatial and temporal availability and reliability of hydrological data are substantial contributions to the accuracy of watershed modeling; unfortunately, such data requirements are challenging and perhaps impossible in many regions of the world.
T. Trinh +6 more
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Journal of Water and Climate Change, 2022 Several satellite-based and reanalysis products with a high spatial and temporal resolution have become available in recent decades, making it worthwhile to study the performance of multiple precipitation forcing data on hydrological modeling. This study
Jamal Hassan Ougahi, Syed Amer Mahmood
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Journal of Water and Climate Change, 2021 The high-resolution Climate Forecast System Reanalysis (CFSR) data have recently become an alternative input for hydrological models in data-sparse regions.
Minh Tuan Bui, Jinmei Lu, Linmei Nie
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CMADS and CFSR Data-Driven SWAT Modeling for Impacts of Climate and Land-Use Change on Runoff
Water, 2023 Climate and land-use change significantly impact hydrological processes and water resources management. However, studies of runoff simulation accuracy and attribution analysis in large-scale basins based on multi-source data and different scenario ...
Bailin Du +4 more
semanticscholar +1 more source
Comparing CFSR and conventional weather data for discharge and soil loss modelling with SWAT in small catchments in the Ethiopian Highlands [PDF]
Hydrology and Earth System Sciences, 2016 Accurate rainfall data are the key input parameter for modelling river discharge and soil loss. Remote areas of Ethiopia often lack adequate precipitation data and where these data are available, there might be substantial temporal or spatial gaps.
V. Roth, T. Lemann
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Comparison of rainfall estimations by TRMM 3B42, MPEG and CFSR with ground-observed data for the Lake Tana basin in Ethiopia [PDF]
Hydrology and Earth System Sciences, 2014 Planning for drought relief and floods in developing countries is greatly hampered by the lack of a sufficiently dense network of weather stations measuring precipitation.
A. W. Worqlul +5 more
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