Climate Projections and Temperature Evolution in the Canary Islands: High Resolution Analysis at Island Scale

ABSTRACT The Intergovernmental Panel on Climate Change's Sixth Assessment Report highlights a significant rise in global surface temperatures and stresses the urgent need for localised climate research, especially in vulnerable regions like the Canary Islands (Spain). This study presents high‐resolution climate projections for temperature evolution during this century in the Canary Islands, with a spatial detail of 100 × 100 m. The climate scenarios were generated using a statistical downscaling methodology called FICLIMA, which consists of a two‐step analog/regressive statistical method. This unprecedented level of precision allows for a more accurate understanding of local climate conditions. The findings reveal consistent temperature increases across all seven islands. La Gomera shows the most pronounced warming, where the SSP5‐8.5 scenario predicts increases of up to 4.4°C, while Lanzarote and Fuerteventura exhibit smaller variations, likely due to their geographic characteristics. These results are of enormous value in addressing the specific challenges facing the archipelago, particularly the pressure on limited water resources caused by tourism and agriculture.

Authors

Institutions

Publication Details

Journal
International Journal of Climatology
Published
2025-10-04
DOI
https://doi.org/10.1002/joc.70139
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate Projections and Temperature Evolution in the Canary Islands: High Resolution Analysis at Island Scale

Noelia Cruz‐Pérez, Juan Carlos Santamarta Cerezal, Susana Clavijo‐Núñez, Joselin S. Rodríguez‐Alcántara et al.
1 citations
International Journal of Climatology
Climate variability and models
1.11
article

Climate Projections and Temperature Evolution in the Canary Islands: High Resolution Analysis at Island Scale

Noelia Cruz‐Pérez, Juan Carlos Santamarta Cerezal, Susana Clavijo‐Núñez, Joselin S. Rodríguez‐Alcántara, César Paradinas‐Blázquez
article en
1 citations

Abstract

ABSTRACT The Intergovernmental Panel on Climate Change's Sixth Assessment Report highlights a significant rise in global surface temperatures and stresses the urgent need for localised climate research, especially in vulnerable regions like the Canary Islands (Spain). This study presents high‐resolution climate projections for temperature evolution during this century in the Canary Islands, with a spatial detail of 100 × 100 m. The climate scenarios were generated using a statistical downscaling methodology called FICLIMA, which consists of a two‐step analog/regressive statistical method. This unprecedented level of precision allows for a more accurate understanding of local climate conditions. The findings reveal consistent temperature increases across all seven islands. La Gomera shows the most pronounced warming, where the SSP5‐8.5 scenario predicts increases of up to 4.4°C, while Lanzarote and Fuerteventura exhibit smaller variations, likely due to their geographic characteristics. These results are of enormous value in addressing the specific challenges facing the archipelago, particularly the pressure on limited water resources caused by tourism and agriculture.

International Journal of ClimatologyVol. 45(16)
Universidad de La Laguna (ES), Fundación Interhospitalaria para la Investigación Cardiovascular (ES)
Openalex Percentile: Top 19%
Climate variability and models
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.