DATAPACKAGE: CLIMATE DATA FROM CH2018 SCENARIOS =========================================================================== Package Version: 2020-02-03 Climate data from CH2018 scenarios: temperature, heating and cooling degree days for 1981-2099 We follow the Data Package standard by the Frictionless Data project, a part of the Open Knowledge Foundation: http://frictionlessdata.io/ License and attribution =========================================================================== Attribution: Version history =========================================================================== * 2020-02-03 Not documented Resources =========================================================================== * [Package description page](http://data.sccer-jasm.ch/climate-data/2020-02-03/) * [ZIP Package](http://data.sccer-jasm.ch/climate-data/jasm-climate-data-2020-02-03.zip) Sources =========================================================================== * [M. Berger, J. Worlitschek, The link between climate and thermal energy demand on national level: A case study on Switzerland, Energy and buildings, 202: 294-301, 109372.](https://doi.org/10.1016/j.enbuild.2019.109372) * [M. Berger, J. Worlitschek, A novel approach for estimating residential space heating demand, Energy, 159: 294-301, 2018.](https://doi.org/10.1016/j.energy.2018.06.138) * [CH2018 – CH2018 – Climate Scenarios for Switzerland, Technical Report, National Centre for Climate Services, Zurich](https://www.meteoswiss.admin.ch/home/latest-news/news/climate-scenarios-ch2018.html) Field documentation =========================================================================== temperature_weather.csv --------------------------------------------------------------------------- * year - Type: number - Description: Year 1981-2099 * RCP2.6_min - Type: number - Description: Annual mean temperature (weather) in RCP2.6 scenario: Min value * RCP2.6_1stquartil - Type: number - Description: Annual mean temperature (weather) in RCP2.6 scenario: 1st quartile value * RCP2.6_median - Type: number - Description: Annual mean temperature (weather) in RCP2.6 scenario: Median * RCP2.6_3rdquartil - Type: number - Description: Annual mean temperature (weather) in RCP2.6 scenario: 3rd quartile value * RCP2.6_max - Type: number - Description: Annual mean temperature (weather) in RCP2.6 scenario: Max value * RCP4.5_min - Type: number - Description: Annual mean temperature (weather) in RCP4.5 scenario: Min value * RCP4.5_1stquartil - Type: number - Description: Annual mean temperature (weather) in RCP4.5 scenario: 1st quartile value * RCP4.5_median - Type: number - Description: Annual mean temperature (weather) in RCP4.5 scenario: Median * RCP4.5_3rdquartil - Type: number - Description: Annual mean temperature (weather) in RCP4.5 scenario: 3rd quartile value * RCP4.5_max - Type: number - Description: Annual mean temperature (weather) in RCP4.5 scenario: Max value * RCP8.5_min - Type: number - Description: Annual mean temperature (weather) in RCP8.5 scenario: Min value * RCP8.5_1stquartil - Type: number - Description: Annual mean temperature (weather) in RCP8.5 scenario: 1st quartile value * RCP8.5_median - Type: number - Description: Annual mean temperature (weather) in RCP8.5 scenario: Median * RCP8.5_3rdquartil - Type: number - Description: Annual mean temperature (weather) in RCP8.5 scenario: 3rd quartile value * RCP8.5_max - Type: number - Description: Annual mean temperature (weather) in RCP8.5 scenario: Max value temperature_climate.csv --------------------------------------------------------------------------- * year - Type: number - Description: Year 1981-2099 * RCP2.6_min - Type: number - Description: Annual mean temperature (climate) in RCP2.6 scenario: Min value * RCP2.6_1stquartil - Type: number - Description: Annual mean temperature (climate) in RCP2.6 scenario: 1st quartile value * RCP2.6_median - Type: number - Description: Annual mean temperature (climate) in RCP2.6 scenario: Median * RCP2.6_3rdquartil - Type: number - Description: Annual mean temperature (climate) in RCP2.6 scenario: 3rd quartile value * RCP2.6_max - Type: number - Description: Annual mean temperature (climate) in RCP2.6 scenario: Max value * RCP4.5_min - Type: number - Description: Annual mean temperature (climate) in RCP4.5 scenario: Min value * RCP4.5_1stquartil - Type: number - Description: Annual mean temperature (climate) in RCP4.5 scenario: 1st quartile value * RCP4.5_median - Type: number - Description: Annual mean temperature (climate) in RCP4.5 scenario: Median * RCP4.5_3rdquartil - Type: number - Description: Annual mean temperature (climate) in RCP4.5 scenario: 3rd quartile value * RCP4.5_max - Type: number - Description: Annual mean temperature (climate) in RCP4.5 scenario: Max value * RCP8.5_min - Type: number - Description: Annual mean temperature (climate) in RCP8.5 scenario: Min value * RCP8.5_1stquartil - Type: number - Description: Annual mean temperature (climate) in RCP8.5 scenario: 1st quartile value * RCP8.5_median - Type: number - Description: Annual mean temperature (climate) in RCP8.5 scenario: Median * RCP8.5_3rdquartil - Type: number - Description: Annual mean temperature (climate) in RCP8.5 scenario: 3rd quartile value * RCP8.5_max - Type: number - Description: Annual mean temperature (climate) in RCP8.5 scenario: Max value HDD.csv --------------------------------------------------------------------------- * year - Type: number - Description: Year 1981-2099 * RCP2.6_min - Type: number - Description: Annual heating degree days in RCP2.6 scenario: Min value * RCP2.6_1stquartil - Type: number - Description: Annual heating degree days in RCP2.6 scenario: 1st quartile value * RCP2.6_median - Type: number - Description: Annual heating degree days in RCP2.6 scenario: Median * RCP2.6_3rdquartil - Type: number - Description: Annual heating degree days in RCP2.6 scenario: 3rd quartile value * RCP2.6_max - Type: number - Description: Annual heating degree days in RCP2.6 scenario: Max value * RCP4.5_min - Type: number - Description: Annual heating degree days in RCP4.5 scenario: Min value * RCP4.5_1stquartil - Type: number - Description: Annual heating degree days in RCP4.5 scenario: 1st quartile value * RCP4.5_median - Type: number - Description: Annual heating degree days in RCP4.5 scenario: Median * RCP4.5_3rdquartil - Type: number - Description: Annual heating degree days in RCP4.5 scenario: 3rd quartile value * RCP4.5_max - Type: number - Description: Annual heating degree days in RCP4.5 scenario: Max value * RCP8.5_min - Type: number - Description: Annual heating degree days in RCP8.5 scenario: Min value * RCP8.5_1stquartil - Type: number - Description: Annual heating degree days in RCP8.5 scenario: 1st quartile value * RCP8.5_median - Type: number - Description: Annual heating degree days in RCP8.5 scenario: Median * RCP8.5_3rdquartil - Type: number - Description: Annual heating degree days in RCP8.5 scenario: 3rd quartile value * RCP8.5_max - Type: number - Description: Annual heating degree days in RCP8.5 scenario: Max value CDD.csv --------------------------------------------------------------------------- * year - Type: number - Description: Year 1981-2099 * RCP2.6_min - Type: number - Description: Annual cooling degree days in RCP2.6 scenario: Min value * RCP2.6_1stquartil - Type: number - Description: Annual cooling degree days in RCP2.6 scenario: 1st quartile value * RCP2.6_median - Type: number - Description: Annual cooling degree days in RCP2.6 scenario: Median * RCP2.6_3rdquartil - Type: number - Description: Annual cooling degree days in RCP2.6 scenario: 3rd quartile value * RCP2.6_max - Type: number - Description: Annual cooling degree days in RCP2.6 scenario: Max value * RCP4.5_min - Type: number - Description: Annual cooling degree days in RCP4.5 scenario: Min value * RCP4.5_1stquartil - Type: number - Description: Annual cooling degree days in RCP4.5 scenario: 1st quartile value * RCP4.5_median - Type: number - Description: Annual cooling degree days in RCP4.5 scenario: Median * RCP4.5_3rdquartil - Type: number - Description: Annual cooling degree days in RCP4.5 scenario: 3rd quartile value * RCP4.5_max - Type: number - Description: Annual cooling degree days in RCP4.5 scenario: Max value * RCP8.5_min - Type: number - Description: Annual cooling degree days in RCP8.5 scenario: Min value * RCP8.5_1stquartil - Type: number - Description: Annual cooling degree days in RCP8.5 scenario: 1st quartile value * RCP8.5_median - Type: number - Description: Annual cooling degree days in RCP8.5 scenario: Median * RCP8.5_3rdquartil - Type: number - Description: Annual cooling degree days in RCP8.5 scenario: 3rd quartile value * RCP8.5_max - Type: number - Description: Annual cooling degree days in RCP8.5 scenario: Max value Feedback =========================================================================== Thank you for using data provided by SCCER JA S&M. If you have any question or feedback, please do not hesitate to contact us. For this data package, contact: For general issues, find our team contact details on our website: http://www.sccer-jasm.ch