Related Experiment Video
Updated: May 17, 2026
06:10
Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
The Ireland BioClim dataset for observational and future climate projections.
Parvaneh Nowbakht1,2, Paraic C Ryan3,4, Jingyu Wang3,4
1Department of Geography, University College Cork, Cork, Ireland. parvaneh.nowbakht@ucc.ie.
Scientific Data
|May 15, 2026
Summary
High-resolution climate data for Ireland is now available, offering observed and projected bioclimatic variables. This dataset supports regional analysis and uncertainty assessment for ecological and environmental planning.
Area of Science:
- Environmental Science
- Ecology
- Geography
- Regional Planning
Background:
- Bioclimatic variables are crucial indicators across multiple scientific disciplines.
- Existing global climate datasets lack the fine-scale resolution needed for regional analysis.
- Regional climate variability is critical for accurate ecological and planning assessments.
Purpose of the Study:
- To address the gap in regionally specific climate data for Ireland.
- To provide high-resolution (~1 km) observed and projected bioclimatic variables.
- To enable detailed region-specific analyses for Ireland.
Main Methods:
- Developed an observational dataset using quality-controlled interpolation of national station data.
- Utilized an ensemble approach with ~200 Regional Climate Model (RCM) simulations for projections.
- Generated percentile-based projections (10th, 50th, 90th) across Representative Concentration Pathways (RCPs 2.6, 4.5, 8.5) and time periods.
Main Results:
- Created a high-resolution (~1 km) observed climate dataset for Ireland.
- Generated ensemble-based projected climate data covering multiple RCPs and time periods.
- Provided 57 GeoTIFFs for observational and full-ensemble datasets, with additional scenario-specific outputs.
Conclusions:
- The Translate project delivers essential high-resolution bioclimatic data for Ireland.
- This dataset supports improved regional analysis, planning, and uncertainty assessment.
- Facilitates a deeper understanding of local climate variability and future projections.
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