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11 to 20 of 526 Results
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...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "01 - Radar Precipitation extraction 2005 - 2020", https://doi.org/10.13130/RD_UNIMI/NNCXQA, UNIMI Dataverse, V1, UNF:6:G/ic197J/lmcc3Nrij6tcw== [fileUNF]
Hourly precipitation values extracted from raster related to MeteoSWISS radar outputs. The values represent the average, minimum and maximum hourly precipitation in the cell (1km X 1km) corresponding to the ARPA station of Grosio. After extracting the data from the raster cell co...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "12 - Forecasted dataseries of precipitation and temperature", https://doi.org/10.13130/RD_UNIMI/NFU5PO, UNIMI Dataverse, V1
Hourly forecasted dataseries of precipitation and temperature extracted from MOLOCH output. Data were extracted from the outputs of the MOLOCH model by transforming them into netCDF and extracting the values in the location of subbasins from the temperature and precipitation laye...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "13 - Outflow model forced by MOLOCH input", https://doi.org/10.13130/RD_UNIMI/C6TLCP, UNIMI Dataverse, V1
GEOframe model streamflow output at the studied catchment outlet section in m3s-1 forced by precipitation and temperature derived from MOLOCH forecast model. Using the MOLOCH temperature and precipitation input, discharge values at the various outlets were calculated by exploitin...
May 22, 2024 - PhD project - Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production
Citrini, Andrea, 2024, "00 - PhD Data Management Plan - Citrini", https://doi.org/10.13130/RD_UNIMI/33CFZX, UNIMI Dataverse, V1
Data Management Plan of the PhD project "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production" and its attachments
May 22, 2024Andrea Citrini
This dataverse concerns Andrea Citrini's PhD project entitled "Modelling current and future water resources availability in an Alpine catchment exploited for hydropower production"
Andrea Citrini(University of Milan)
May 22, 2024Dipartimento di scienze della terra
May 6, 2024 - MADFORWATER-WP2
Mapelli, Francesca, 2024, "Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater", https://doi.org/10.13130/RD_UNIMI/DZ4WSQ, UNIMI Dataverse, V1, UNF:6:cllVMRmfXhq5AzKkOAMIJg== [fileUNF]
The dataset includes five Supplementary Tables for the manuscript entitled "Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater". The data refer to the taxonomic and functional diversity of bacterial commun...
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