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  High-resolution climate projection dataset based on CMIP6 for Peru and Ecuador: BASD-CMIP6-PE

Fernandez Palomino, C. A., Hattermann, F. F., Krysanova, V., Vega-Jácome, F., Menz, C., Gleixner, S., Bronstert, A. (2024): High-resolution climate projection dataset based on CMIP6 for Peru and Ecuador: BASD-CMIP6-PE. - Scientific Data, 11, 34.
https://doi.org/10.1038/s41597-023-02863-z

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The new climate dataset, BASD-CMIP6-PE, for Peru and Ecuador is based on bias-adjusted and statistically downscaled CMIP6 climate projections from 10 GCMs. It addresses the need for reliable high-resolution (1d, 10km) climate data covering Peru and Ecuador. This dataset includes historical simulations (1850-2014) and future projections (2015-2100) for precipitation and minimum, mean, and maximum temperature under three Shared Socioeconomic Pathways (SSPs:SSP1-2.6, SSP3-7.0, and SSP5-8.5).

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 Creators:
Fernandez Palomino, Carlos Antonio1, Author              
Hattermann, Fred Fokko1, Author              
Krysanova, Valentina1, Author              
Vega-Jácome, Fiorella2, Author
Menz, Christoph1, Author              
Gleixner, Stephanie1, Author              
Bronstert, Axel2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Here, we present BASD-CMIP6-PE, a high-resolution (1d, 10 km) climate dataset for Peru and Ecuador based on the bias-adjusted and statistically downscaled CMIP6 climate projections of 10 GCMs. This dataset includes both historical simulations (1850–2014) and future projections (2015–2100) for precipitation and minimum, mean, and maximum temperature under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5). The BASD-CMIP6-PE climate data were generated using the trend-preserving Bias Adjustment and Statistical Downscaling (BASD) method. The BASD performance was evaluated using observational data and through hydrological modeling across Peruvian and Ecuadorian river basins in the historical period. Results demonstrated that BASD significantly reduced biases between CMIP6-GCM simulations and observational data, enhancing long-term statistical representations, including mean and extreme values, and seasonal patterns. Furthermore, the hydrological evaluation highlighted the appropriateness of adjusted GCM simulations for simulating streamflow, including mean, low, and high flows. These findings underscore the reliability of BASD-CMIP6-PE in assessing regional climate change impacts on agriculture, water resources, and hydrological extremes.

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Language(s): eng - English
 Dates: 2023-02-032023-12-152024-01-052024-01-05
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41597-023-02863-z
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Adaptation in Agricultural Systems
Working Group: Hydroclimatic Risks
Regional keyword: South America
Research topic keyword: Atmosphere
Research topic keyword: Climate impacts
MDB-ID: No MDB - stored outside PIK (see DOI)
OATYPE: Gold - DEAL Springer Nature
 Degree: -

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Title: Scientific Data
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 11 Sequence Number: 34 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Nature