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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
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).
Simple
- Date (Creation)
- 2023-04-11
- Date (Revision)
- 2023-04-11
- Date (Publication)
- 2023-04-11
- Date (released)
- 2023-04-11
- Edition
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1.0
- Unique resource identifier
- https://doi.org/10.5285/b56d30e8-edaa-4225-96d7-fcc689e930c7
- Codespace
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doi
- Unique resource identifier
- GB/NERC/BAS/PDC/01730
- Codespace
- Unique resource identifier
- NE/S013296/1
- Codespace
-
award
- Unique resource identifier
- NE/S013318/1
- Codespace
-
award
- Other citation details
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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
- Credit
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No credit.
- Status
- Completed
- Point of contact
- Maintenance and update frequency
- As needed
- Maintenance note
- Completed
- Global Change Master Directory (GCMD) Science Keywords
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- 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
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Andes
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ETCCDI
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Peru
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downscaling
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future projections
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- Place
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Cordillera Blanca including Rio Santa River Basin Peru
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Vilcanota-Urubamba River Basin Peru
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GEMET - INSPIRE themes, version 1.0
- Access constraints
- Other restrictions
- Other constraints
- no limitations to public access
- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- License
- Other constraints
- Open Government Licence v3.0
- Use constraints
- Other restrictions
- Other constraints
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Data supplied under Open Government Licence v3.0
- Use constraints
- Other restrictions
- Other constraints
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No restrictions apply.
- Unique resource identifier
- doi
- Codespace
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doi
- Association Type
- dependency
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- Larger work citation
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- Larger work citation
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- Cross reference
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- Cross reference
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- Cross reference
- Unique resource identifier
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- Codespace
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doi
- Association Type
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- Unique resource identifier
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doi
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url
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url
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- Cross reference
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Climatology, meteorology, atmosphere
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- Begin date
- 2019-01-01
- End date
- 2100-12-31
- Supplemental Information
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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.
- Title
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European Petroleum Survey Group (EPSG) Geodetic Parameter Registry
- Date (Publication)
- 2008-11-12
- Cited responsible party
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Organisation name Individual name Electronic mail address Role European Petroleum Survey Group
Publisher
- Unique resource identifier
- urn:ogc:def:crs:EPSG::3031
- Version
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6.18.3
Distributor
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS UK Polar Data Centre Distributor
- Distributor format
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Name Version application/x-hdf application/netcdf
- Units of distribution
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bytes
- Transfer size
- 10415295693
- OnLine resource
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Protocol Linkage Name WWW:LINK-1.0-http--link
https://data.ceda.ac.uk/pdc/GB-NERC-BAS-PDC-01730 Get Data
- Units of distribution
-
bytes
- Transfer size
- 10415295693
- OnLine resource
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Protocol Linkage Name WWW:LINK-1.0-http--link
https://data.ceda.ac.uk/pdc/GB-NERC-BAS-PDC-01730 Get Data
- Hierarchy level
- Dataset
- Statement
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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.
Metadata
- File identifier
- b56d30e8-edaa-4225-96d7-fcc689e930c7 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Hierarchy level name
-
dataset
- Date stamp
- 2023-04-11
- Metadata standard name
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ISO 19115 Geographic Information - Metadata
- Metadata standard version
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ISO 19115:2003(E)
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS UK Polar Data Centre Point of contact
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