Abstract:
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).
Keywords:
Andes, ETCCDI, Peru, downscaling, future projections
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
| Access Constraints: | No restrictions apply. |
|---|---|
| Use Constraints: | Data supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2023-04-11 |
|---|---|
| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
|
| Parameters: |
|
| Personnel: | |
| Name | UK Polar Data Centre |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Emily R Potter |
| Role(s) | Investigator, Technical Contact |
| Organisation | University of Leeds |
| Name | Catriona Fyffe |
| Role(s) | Investigator |
| Organisation | Northumbria University |
| Name | Andrew Orr |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Duncan Quincey |
| Role(s) | Investigator |
| Organisation | University of Leeds |
| Name | Andrew N Ross |
| Role(s) | Investigator |
| Organisation | University of Leeds |
| Name | Sally Rangecroft |
| Role(s) | Investigator |
| Organisation | University of Plymouth |
| Name | Katy Medina |
| Role(s) | Investigator |
| Organisation | Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana |
| Name | Helen Burns |
| Role(s) | Investigator |
| Organisation | University of Leeds |
| Name | Alan Llacza |
| Role(s) | Investigator |
| Organisation | Servicio Nacional de Meteorologia e Hidrologia del Peru |
| Name | Gerardo Jacome |
| Role(s) | Investigator |
| Organisation | Servicio Nacional de Meteorologia e Hidrologia del Peru |
| Name | Robert Hellstrom |
| Role(s) | Investigator |
| Organisation | Bridgewater State University |
| Name | Joshua Castro |
| Role(s) | Investigator |
| Organisation | Universidad Nacional de San Antonio Abad del Cusco |
| Name | Alejo Cochachin |
| Role(s) | Investigator |
| Organisation | Autoridad Nacional del Agua |
| Name | Nilton Montoya |
| Role(s) | Investigator |
| Organisation | Universidad Nacional de San Antonio Abad del Cusco |
| Name | Edwin Loarte |
| Role(s) | Investigator |
| Organisation | Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana |
| Name | Francesca Pellicciotti |
| Role(s) | Investigator |
| Organisation | Northumbria University |
| Parent Dataset: | N/A |
| Reference: | Emily R. Potter, Catriona Fyffe, Andrew Orr, Duncan Quincey, Andrew N. Ross, Sally Rangecroft, Katy Medina, Helen Burns, Alan Llacza, Gerardo Jacome, Robert A. Hellstrom, Joshua Castro, Alejo Cochachin, Nilton Montaya, Edwin Loarte, and Francesca Pellicciotti. (2023) Future projections of extreme precipitation and droughts in the Peruvian Andes. Under review at NPJ climate and atmospheric sciences. Fyffe, C. L., Potter, E., Fugger, S., Orr, A., Fatichi, S., Loarte, E., et al. (2021). The energy and mass balance of Peruvian glaciers. Journal of Geophysical Research: Atmospheres, 126, e2021JD034911. https://doi.org/10.1029/2021JD034911. Pascal Bourgault, Trevor James Smith, David Huard, Travis Logan, sbiner, RondeauG, Philippe Roy, MacPingu, David Caron, Ag Stephens, Christopher Whelan, & jwenfai. (2021). Ouranosinc/xclim: v0.24.0 (v0.24.0). Zenodo. https://doi.org/10.5281/zenodo.4570862. Zhang, X., Alexander, L., Hegerl, G. C., Jones, P. D., Tank, A. K., Peterson, T. C., Trewin, B., & Zwiers, F. W. (2011). Indices for monitoring changes in extremes based on daily temperature and precipitation data. Wiley Interdisciplinary Reviews: Climate Change, 2(6), 851-870. https://doi.org/10.1002/wcc.147. |
|
|---|---|---|
| Quality: | There are no known quality issues with the data. | |
| Lineage: | 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). | |
| Temporal Coverage: | |
|---|---|
| Start Date | 2019-01-01 |
| End Date | 2100-12-31 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | -15 |
| Northernmost | -12.4 |
| Longitude | |
| Westernmost | -73.9 |
| Easternmost | -70.2 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Latitude | |
| Southernmost | -10.8 |
| Northernmost | -7.5 |
| Longitude | |
| Westernmost | -79.5 |
| Easternmost | -76.3 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Data Resolution: | |
| Latitude Resolution | N/A |
| Longitude Resolution | N/A |
| Horizontal Resolution Range | 1 km - < 10 km or approximately .01 degree - < .09 degree |
| Vertical Resolution | N/A |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Peru |
| Detailed Location | Cordillera Blanca including Rio Santa River Basin |
| Location | Peru |
| Detailed Location | Vilcanota-Urubamba River Basin |
| Data Collection: | See the reference materials for information on the CMIP5 models. |
|---|
| Distribution: | |
|---|---|
| Distribution Media | Online Internet (HTTP) |
| Distribution Size | 9.7 GB |
| Distribution Format | netCDF |
| Fees | N/A |
| Data Storage: | The six climate indices are denoted in the file names as DD (number of dry days), FD (number of frost days), R95pTOT (total precipitation falling on days above the 95th percentile), SDII (simple precipitation intensity index), TXday (maximum monthly temperature) and WSDI (warm spell duration index). All indices are calculated for domain 2 (d02) and domain 3 (d03), and in the future period for RCP 4.5 (rcp45) and RCP 8.5 (rcp85). All calculations have been performed both seasonally (wet and dry) and annually, and the Time variable refers to the statistic for that year (e.g. 2021-12-31T00:00:00.000000000 refers to the seasonal or annual statistic for 2021). |