1 to 10 of 529 Results
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "11 - Outflow model under Climate Change scenarios", https://doi.org/10.13130/RD_UNIMI/CGHGRR, UNIMI Dataverse, V1
GEOframe model streamflow output at the studied catchment outlet section in m3s-1 forced by precipitation and temperature derived from RCMs. Using the downscaled temperature and precipitation values, discharge values at the various outlets were calculated by exploiting the previo... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "10 - Downscaled dataseries of precipitation and temperature", https://doi.org/10.13130/RD_UNIMI/BFU3KI, UNIMI Dataverse, V1
Downscaled dataseries of precipitation and temperature with Delta Quintile Mapping method. Considering the reference period 2005-2020 for both temperature and precipitation, the Spatial Downscaling technique of Quantile Delta Mapping (Cannon et al., 2015) was applied, obtaining 5... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "09 - Kriging OK and DK correction", https://doi.org/10.13130/RD_UNIMI/CZ8IOH, UNIMI Dataverse, V1
Spatial Kriging OK and DK correction of the hourly radar precipitation values for each centroid of the study area. Once the residuals at the rain gauge locations were calculated with respect to the radar, the error was interpolated exploiting the Ordinary (OK) and Detrended (DK)... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "08 - IDW and TPS correction", https://doi.org/10.13130/RD_UNIMI/YOL2C5, UNIMI Dataverse, V1
Spatial IDW and TPS correction of the hourly radar precipitation values for each centroid of the study area. Once the residuals at the rain gauge locations were calculated with respect to the radar, the error was interpolated exploiting the Inverse Distance Weighting (Thin Plate... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "07 - CDF and Copula correction", https://doi.org/10.13130/RD_UNIMI/EWFQQ2, UNIMI Dataverse, V1
Point – based CDF and copula correction of the hourly radar precipitation values for each centroid of the study area. Precipitation series for each centroid were extrapolated from the radar raster (for each hour) and then corrected via CDF and copula correction by exploiting obse... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "06 - TIN correction", https://doi.org/10.13130/RD_UNIMI/GCH3HM, UNIMI Dataverse, V1
Point – based TIN correction of the hourly radar precipitation values for each centroid of the study area. Precipitation series for each centroid were extrapolated from the radar raster (for each hour) and then corrected via TIN by exploiting observed data from the three nearest... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "05 - SWE output", https://doi.org/10.13130/RD_UNIMI/ZGYU3C, UNIMI Dataverse, V1
Output of GEOframe that simulates the SWE for each sub-basin. Once spatialized, the climate variables will be entered with the DEM as input data into the GEOframe model. Naming conventions: SWE_n°.csv for example, SWE_2.csv, number varies based on the sub-basin which it refers to... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "04 - Outflow model", https://doi.org/10.13130/RD_UNIMI/ENQTPU, UNIMI Dataverse, V1
GEOframe model streamflow output at the studied catchment outlet section in m3s-1. Once spatialized, the climate variables (using internal kriging routine) will be entered with the DEM as input data into the GEOframe model. Naming conventions: Q_n°.csv for example, Q_35.csv, numb... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "03 - Kriging output", https://doi.org/10.13130/RD_UNIMI/9J8V6X, UNIMI Dataverse, V1
GEOframe model kriging output: temperature and precipitation dataseries of 22 weather stations located around the study area were used to interpolate the values in each centroids of each sub-basins. The procedure (Bancheri et al., 2018) can be conducted seasonally (temperatures)... |
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "02 - Sub-basins", https://doi.org/10.13130/RD_UNIMI/SZJJPF, UNIMI Dataverse, V1
Result subdivision into sub-basins applying geomorphological analysis with GEOframe tools. The standard GEOframe procedure involves the use of concatenated *.sim files which, starting from a DEM, allow the definition of sub-basins based on geomorphological characteristics. The pr... |
