How to cite this Dataset
Fallon, James, Brayshaw, David, Methven, John, Jensen, Kjeld and Krug, Louise (2024): Model of GB telecommunications electricity load using UKCP18 climate projections. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1339
Description
GB telecommunications infrastructure electricity load is modelled in simulated climate scenarios (1.5C, 2.0C, etc.) using a bias-adjustment of climate model outputs (UKCP18 perturbed physics ensemble, regional downscaling).
Several bias-adjustments are made available, including 'mean' bias adjustment and 'Quantile Delta Mapping'. A justification of different approaches is made in an accompanying paper (in progress).
The model coefficients are taken from the dataset "MERRA2 derived time series of GB telecommunications infrastructure electricity load, using historical daily surface temperature" https://doi.org/10.17864/1947.000533
| Alternative title: | Telecommunications Electricity Load: Timeseries derived from Bias-adjusted Perturbed Physics Ensemble |
|---|---|
| Resource Type: | Dataset |
| Creators: | Fallon, James  ORCID: https://orcid.org/0000-0002-6321-7456, Brayshaw, David ORCID: https://orcid.org/0000-0002-3927-4362, Methven, John ORCID: https://orcid.org/0000-0002-7636-6872, Jensen, Kjeld ORCID: https://orcid.org/0000-0001-9487-120X and Krug, Louise |
| Rights-holders: | University of Reading, BT Group plc |
| Data Publisher: | University of Reading |
| Publication Year: | 2024 |
| Data last accessed: | 25 October 2024 |
| DOI: | https://doi.org/10.17864/1947.001339 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/1339 |
| Organisational units: | Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology |
| Participating Organisations: | University of Reading, BT Group plc |
| Keywords: | electricity load, telecommunications infrastructure, UKCP18, degree days, climate change, impact model, GB, bias adjust |
| Rights: | |
| Data Availability: | OPEN |
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