b56d30e8-edaa-4225-96d7-fcc689e930c7 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2023-04-11 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Precipitation and temperature climate change indices calculated from WRF data and statistically downscaled CMIP5 models, Cordillera Blanca and Vilcanota-Urubamba regions, Peru, from 1980 to 2100 2023-04-11 creation 2023-04-11 revision 2023-04-11 publication 2023-04-11 released 1.0 https://doi.org/10.5285/b56d30e8-edaa-4225-96d7-fcc689e930c7 doi GB/NERC/BAS/PDC/01730 https://data.bas.ac.uk/ NE/S013296/1 award NE/S013318/1 award Please cite this item as: Potter, E., Fyffe, C., Orr, A., Quincey, D., Ross, A., Rangecroft, S., Medina, K., Burns, H., Llacza, A., Jacome, G., Hellstrom, R., Castro, J., Cochachin, A., Montoya, N., Loarte, E., & Pellicciotti, F. (2023). Precipitation and temperature climate change indices calculated from WRF data and statistically downscaled CMIP5 models, Cordillera Blanca and Vilcanota-Urubamba regions, Peru, from 1980 to 2100 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/b56d30e8-edaa-4225-96d7-fcc689e930c7 Based on the bias-corrected WRF data and the statistically downscaled CMIP5 data (see related datasets), six climate change detection indices are calculated, based on the Expert Team on Climate Change Detection and Indices (ETCCDI). Each index is calculated for the control period (1980-2018) from the bias-corrected WRF data, and the future (2019-2100) for each of the 30 CMIP5 models. Six of the ETCCDI climate indices are calculated here (taken from Zhang (2011)): the simple precipitation intensity index describing the total annual precipitation on wet days; the annual total precipitation falling on days where precipitation is above the 95th percentile of the 1980-2018 period; the number of dry days (precipitation under 1 mm) in a year (a variation on "continuous dry days" given in Zhang (2011); the annual average monthly maximum temperature; the warm spell duration index describing the annual count of days with at least 6 consecutive days above the 90th percentile of daily maximum temperature from 1980-2018; the number of frost days (minimum daily temperature below 0 deg C). These data were corrected as part of the PEGASUS (Producing EnerGy and preventing hAzards from SUrface water Storage in Peru) and Peru GROWS (Peruvian Glacier Retreat and its Impact on Water Security) projects. The datasets were created to assess future climate in the Peruvian Andes. The data were created on the JASMIN supercomputer. The creation of this data was conducted under the Peru GROWS and PEGASUS projects, which were both funded by NERC (grants NE/S013296/1 and NE/S013318/1, respectively) and CONCYTEC through the Newton-Paulet Fund. The Peruvian part of the Peru GROWS project was conducted within the framework of the call E031-2018-01-NERC "Glacier Research Circles", through its executing unit FONDECYT (Contract No. 08-2019-FONDECYT). No credit. completed Potter, Emily University of Leeds Researcher author Fyffe, Catriona Northumbria University Researcher author Orr, Andrew British Antarctic Survey Researcher author Quincey, Duncan University of Leeds Researcher author Ross, Andrew University of Leeds Researcher author Rangecroft, Sally University of Plymouth Researcher author Medina, Katy Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana Researcher author Burns, Helen University of Leeds Researcher author Llacza, Alan Servicio Nacional de Meteorologia e Hidrologia del Peru Researcher author Jacome, Gerardo Servicio Nacional de Meteorologia e Hidrologia del Peru Researcher author Hellstrom, Robert Bridgewater State University Researcher author Castro, Joshua Universidad Nacional de San Antonio Abad del Cusco Researcher author Cochachin, Alejo Autoridad Nacional del Agua Researcher author Montoya, Nilton Universidad Nacional de San Antonio Abad del Cusco Researcher author Loarte, Edwin Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana Researcher author Pellicciotti, Francesca Northumbria University Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Atmosphere > Atmospheric Phenomena > Frost EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Maximum/Minimum Temperature EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Surface Air Temperature EARTH SCIENCE > Atmosphere > Precipitation > Precipitation Amount EARTH SCIENCE > Atmosphere > Precipitation > Precipitation Rate EARTH SCIENCE > Climate Indicators > Air Temperature Indices EARTH SCIENCE > Climate Indicators > Drought/Precipitation Indices theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Andes ETCCDI Peru downscaling future projections theme Cordillera Blanca including Rio Santa River Basin Peru Vilcanota-Urubamba River Basin Peru place Atmospheric conditions Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. doi doi dependency url url largerWorkCitation url url largerWorkCitation url url crossReference url url crossReference url url crossReference doi doi crossReference doi doi crossReference url url crossReference url url crossReference textTable eng utf8 climatologyMeteorologyAtmosphere -73.9 -70.2 -15.0 -12.4 2019-01-01 2100-12-31 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor application/x-hdf application/netcdf bytes 10415295693 https://data.ceda.ac.uk/pdc/GB-NERC-BAS-PDC-01730 WWW:LINK-1.0-http--link Get Data Download data download bytes 10415295693 https://data.ceda.ac.uk/pdc/GB-NERC-BAS-PDC-01730 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The analysis of the ETCCDI variables was carried out based on the xclim package for python Bourgault et al., (2021). Details can be found in Potter et al., (2023). Data collection: See the reference materials for information on the CMIP5 models. Data quality: There are no known quality issues with the data. asNeeded completed