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On July 14, 2023 at 4:33:52 PM UTC, Gravatar Administrator:
  • Set author of Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs to [{"affiliation": "EPFL", "affiliation_02": "", "affiliation_03": "", "data_credit": ["validation", "curation", "software", "publication"], "email": "tatjana.milojevic@epfl.ch", "given_name": "Tatjana", "identifier": "0000-0001-9118-7103", "name": "Milojevic"}, {"affiliation": "BKW Energie AG", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "validation", "curation"], "email": "Sibylle.Wiederkehr@bkw.ch", "given_name": "Sibylle", "identifier": "", "name": "Wiederkehr"}, {"affiliation": "IGE, Grenoble INP, IRD, CNRS", "affiliation_02": "", "affiliation_03": "", "data_credit": "software", "email": "juliette.blanchet@univ-grenoble-alpes.fr", "given_name": "Juliette", "identifier": "0000-0001-8088-8895", "name": "Blanchet"}, {"affiliation": "BKW Energie AG", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "validation"], "email": "anton.luethi@bkw.ch", "given_name": "Anton", "identifier": "", "name": "L\u00fcthi"}, {"affiliation": "SLF", "affiliation_02": "EPFL", "affiliation_03": "EPFL", "data_credit": ["validation", "supervision"], "email": "lehning@slf.ch", "given_name": "Michael", "identifier": "0000-0002-8442-0875", "name": "Lehning"}] (previously [{"affiliation": "EPFL", "affiliation_02": "", "affiliation_03": "", "data_credit": ["validation", "curation", "software", "publication"], "email": "tatjana.milojevic@epfl.ch", "given_name": "T.", "identifier": "0000-0001-9118-7103", "name": "Milojevic"}, {"affiliation": "BKW Energie AG", "affiliation_02": "", "affiliation_03": "", "data_credit": ["collection", "validation", "curation"], "email": "Sibylle.Wiederkehr@bkw.ch", "given_name": "S.", "identifier": "", "name": "Wiederkehr"}, {"affiliation": "IGE, Grenoble INP, IRD, CNRS", "affiliation_02": "", "affiliation_03": "", "data_credit": "software", "email": "juliette.blanchet@univ-grenoble-alpes.fr", "given_name": "J.", "identifier": "0000-0001-8088-8895", "name": "Blanchet"}, {"affiliation": "BKW Energie AG", "affiliation_02": "", "affiliation_03": "", "data_credit": "collection", "email": "anton.luethi@bkw.ch", "given_name": "A.", "identifier": "", "name": "L\u00fcthi"}, {"affiliation": "SLF", "affiliation_02": "EPFL", "affiliation_03": "EPFL", "data_credit": ["validation", "supervision"], "email": "lehning@slf.ch", "given_name": "M.", "identifier": "0000-0002-8442-0875", "name": "Lehning"}])


  • Updated description of Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs from

    ## Summary * Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland * R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis. ## Data The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir. Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html). ## Codes R scripts used to determine return levels of the data set are included for both extreme high events (using 5 different approaches) and low events. The scripts are: * GEV (Generalized Extreme Value) * GPD and GPDd (Generalized Pareto Distribution including declustered version) * eGPD (extended Deneralized Pareto Distribution) * MEV (Metastatistical Extreme Value)
    to
    ## Summary * Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland * R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis ## Data The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir. Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html). ## Codes R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels: * GEV (Generalized Extreme Value) * GPD and GPDd (Generalized Pareto Distribution including declustered version) * eGPD (extended Generalized Pareto Distribution) * MEV (Metastatistical Extreme Value)


  • Changed value of field related_publications to Milojevic, T., Blanchet, J., and Lehning, M. (2023). Determining Return Levels of Extreme Daily Precipitation, Reservoir Inflow and Dry Spells. Front. Water Sec. Water Resource Management, 5. doi:10.3389/frwa.2023.1141786 in Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs


  • Changed value of field date to [{"date": "2000-01-01", "date_type": "collected", "end_date": "2019-12-31"}] in Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs


  • Changed value of field publication_state to approved in Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs


  • Updated description of resource R codes for Extreme Values Analysis in Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs from

    Zip file containing R codes for running extreme values analysis using various methods for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events.
    to
    Zip file containing R codes for running extreme value analyses for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events