WebMedium-term hydrological streamflow forecasting can guide water dispatching departments to arrange the discharge and output plan of hydropower stations in advance, which is of great significance for improving the utilization of hydropower energy and has been a research hotspot in the field of hydrology. However, the distribution of water resources is … Streamflow is runoff routed along a drainage network, in m3/s, also known as discharge, which is the variable name used in the files. Water temperature is given in units of Kelvin. Filenames include the variable name, GCM, scenario (hist for historical, or one of the RCPs) and the time period (years). The … See more The ecologically-relevant streamflow and water temperature variables derived from the weekly values are established based on a combination of … See more To facilitate assessments and comparisons of streamflow and water temperature at a certain air temperature rise rather than specific years5,7, we provide a table with … See more We provide future scenarios for four RCPs (representative concentration pathways; 2.6, 4.5, 6.0 and 8.5 W/m2 in 2100) for the five ISI-MIP GCMs. Projections differ across RCPs due to differences in greenhouse gas … See more The majority of our simulations are forced with meteorological time series from GCMs. Those are bias-corrected27before being applied to impact models such as PCR-GLOBWB, which corrects for systematic deviations … See more
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WebA dataset of modeled flow metrics for streams in the contiguous U.S. for historical and future climate change scenarios. Climate change is projected to alter the flow regimes of … WebTerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces from 1958-2024. These data provide important inputs for ecological and hydrological studies at global scales that require high spatial resolution and time-varying data. All data have monthly temporal resolution and a ~4-km (1/24th degree ... follow au
Water Free Full-Text Successive-Station Streamflow Prediction …
WebThe results confirmed that RRRI coupled with MLR (RRRI-MLR) had the lowest RMSE and MAPE values, outperforming all other techniques tested for filling missing data in daily streamflow datasets. This indicates that the RRRI-MLR is the best method for dealing with missing data in streamflow datasets. Doi: 10.28991/cej-2024-03091747. Full Text: PDF WebGlobal streamflow data sets are archived and available at: Global Runoff Data Centre (GRDC) [web] National Center for Atmospheric Research [web] University of New Hampshire [web] … follow aubreyclarkke