Huerta, Adrian; Aybar, Cesar; Imfeld, Noemi; Correa, Kris; Felipe-Obando, Oscar; Rau, Pedro; Drenkhan, Fabian; Lavado-Casimiro, Waldo (2023). High-resolution grids of daily air temperature for Peru - the new PISCOt v1.2 dataset. Scientific data, 10(1), p. 847. Nature Publishing Group 10.1038/s41597-023-02777-w
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Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), a novel high spatial resolution (0.01°) dataset of daily air temperature for entire Peru (1981-2020). The dataset development involves four main steps: (i) quality control; (ii) gap-filling; (iii) homogenisation of weather stations, and (iv) spatial interpolation using additional data, a revised calculation sequence and an enhanced version control. This improved methodological framework enables capturing complex spatial variability of maximum and minimum air temperature at a more accurate scale compared to other existing datasets (e.g. PISCOt v1.1, ERA5-Land, TerraClimate, CHIRTS). PISCOt performs well with mean absolute errors of 1.4 °C and 1.2 °C for maximum and minimum air temperature, respectively. For the first time, PISCOt v1.2 adequately captures complex climatology at high spatiotemporal resolution and therefore provides a substantial improvement for numerous applications at local-regional level. This is particularly useful in view of data scarcity and urgently needed model-based decision making for climate change, water balance and ecosystem assessment studies in Peru.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Institute of Geography |
UniBE Contributor: |
Huerta Julca, Adrian Marko, Imfeld, Noemi |
Subjects: |
900 History > 910 Geography & travel |
ISSN: |
2052-4463 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
04 Dec 2023 12:21 |
Last Modified: |
10 Dec 2023 02:30 |
Publisher DOI: |
10.1038/s41597-023-02777-w |
PubMed ID: |
38040747 |
BORIS DOI: |
10.48350/189782 |
URI: |
https://boris.unibe.ch/id/eprint/189782 |
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