Articles | Volume 17, issue 1
https://doi.org/10.5194/gmd-17-191-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-191-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
11 Jan 2024
Development and technical paper |
| 11 Jan 2024
| 11 Jan 2024
Global Downscaled Projections for Climate Impacts Research (GDPCIR): preserving quantile trends for modeling future climate impacts
BlackRock, 601 Union Street, Seattle, WA 98101 USA
Climate Impact Lab, 1714 Franklin St. 100–405, Oakland, CA 94612, USA
Rhodium Group, 5 Columbus Circle, New York, NY 10019 USA
Steven B. Malevich
Climate Impact Lab, 1714 Franklin St. 100–405, Oakland, CA 94612, USA
Rhodium Group, 5 Columbus Circle, New York, NY 10019 USA
Kelly E. McCusker
Climate Impact Lab, 1714 Franklin St. 100–405, Oakland, CA 94612, USA
Rhodium Group, 5 Columbus Circle, New York, NY 10019 USA
Emile Tenezakis
Rhodium Group, 5 Columbus Circle, New York, NY 10019 USA
Michael T. Delgado
Rhodium Group, 5 Columbus Circle, New York, NY 10019 USA
Meredith A. Fish
Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA
Robert E. Kopp
Climate Impact Lab, 1714 Franklin St. 100–405, Oakland, CA 94612, USA
Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ, USA
Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA
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- Evaluation of a Multivariate Statistical Downscaling Method over Canada's Largest Pacific Basin S. Sobie et al. https://doi.org/10.1080/07055900.2025.2478829
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- Statistical downscaling reproduces high-resolution ocean transport for particle tracking in the Bering Sea T. Kristiansen et al. https://doi.org/10.1038/s41598-026-37904-1
- Climate Change Impacts on Wheat Yields in Arid Regions of Iran: A Multimodel Approach for Adaptation Strategies S. Mirshekari et al. https://doi.org/10.1007/s42106-025-00350-6
- How tailored climate information affects attitudes towards climate policy and psychological distance of climate change M. Hulkkonen et al. https://doi.org/10.1038/s44168-024-00136-y
- Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
- Quantitative analysis framework for the benefit-risk feedback system of watershed reservoir groups L. Zheng et al. https://doi.org/10.1016/j.watres.2025.123342
- Combined drought index for drought monitoring and severity assessment under future climate and land use changes K. Kuntiyawichai et al. https://doi.org/10.1016/j.scitotenv.2026.181704
- A trend-preserving statistical downscaling framework and its application to China’s offshore wind field H. Wang et al. https://doi.org/10.1007/s10584-025-04056-6
- SEAS5-BCSD: a bias-corrected and downscaled global seasonal forecast reference dataset for 1981–2024 J. Weber et al. https://doi.org/10.5194/essd-18-5259-2026
- The impact of climate change on a large industrial winter road operation in Northern Canada J. Song et al. https://doi.org/10.1016/j.coldregions.2026.104952
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- Can wet heatwaves be represented by CMIP6 models and bias-corrected NEX-GDDP-CMIP6? Z. Zhao et al. https://doi.org/10.1016/j.wace.2025.100790
- Enhanced risk to India’s west coast: Bias-corrected high-resolution CMIP6 projections of regional sea level rise D. Joseph & M. Manoj https://doi.org/10.1016/j.dynatmoce.2026.101696
- Assessment of Heat Stress Hazards in Africa Using CMIP6 and NEX-GDDP Datasets O. Oloniyo et al. https://doi.org/10.1007/s41748-026-01028-3
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- Bias correction of CMIP6 models using quantile delta mapping for projecting future IDF curves: case study of the hyderabad metropolitan region S. Saravanan & S. Ji https://doi.org/10.1007/s00704-026-06366-w
- Multivariate bias correction of ERA5 using in-situ observations for planning and engineering D. Rasmussen https://doi.org/10.1088/2752-5295/ae63ee
- Shifting baselines alter trends and emergence of climate extremes across Africa T. Taguela & A. Akinsanola https://doi.org/10.1016/j.atmosres.2026.108839
- Future climate scenarios and their impact on carbonation of reinforced concrete structures in Brazil C. Teodoro et al. https://doi.org/10.1016/j.cscm.2026.e06125
28 citations as recorded by crossref.
- Performance analysis of IMDAA and ERA5 reanalysis in reproducing monsoon precipitation extremes over Eastern India J. Akhter et al. https://doi.org/10.1007/s00704-025-05595-9
- Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps L. Abdalla et al. https://doi.org/10.12688/wellcomeopenres.24901.1
- Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps L. Abdalla et al. https://doi.org/10.12688/wellcomeopenres.24901.2
- Probabilistic projections of temperature and rainfall for climate risk assessment in Vietnam Q. Tran-Anh & T. Ngo-Duc https://doi.org/10.2166/wcc.2024.461
- Asymmetric impacts of precipitation on global extreme humid heatwaves Y. Tu et al. https://doi.org/10.1038/s41612-026-01432-6
- Technical note: Including hydrologic impact definition in climate projection uncertainty partitioning: a case study of the Central American mid-summer drought E. Maurer & I. Stewart https://doi.org/10.5194/hess-30-421-2026
- Hybrid downscaling of sea surface salinity reveals future transition from freshening to salinification in coastal waters M. Nikoo https://doi.org/10.1016/j.ecss.2026.109788
- Evaluation of a Multivariate Statistical Downscaling Method over Canada's Largest Pacific Basin S. Sobie et al. https://doi.org/10.1080/07055900.2025.2478829
- Integrating Climate Modelling, Downscaling, and Bias Correction for Drought Studies: Current Approaches and Future Directions C. Naresh & A. Mathew https://doi.org/10.1007/s11269-026-04843-5
- Statistical downscaling reproduces high-resolution ocean transport for particle tracking in the Bering Sea T. Kristiansen et al. https://doi.org/10.1038/s41598-026-37904-1
- Climate Change Impacts on Wheat Yields in Arid Regions of Iran: A Multimodel Approach for Adaptation Strategies S. Mirshekari et al. https://doi.org/10.1007/s42106-025-00350-6
- How tailored climate information affects attitudes towards climate policy and psychological distance of climate change M. Hulkkonen et al. https://doi.org/10.1038/s44168-024-00136-y
- Climate-induced hydrological changes and agricultural implications in the Laurentian Great Lakes region H. Dang et al. https://doi.org/10.1016/j.scitotenv.2026.181355
- Quantitative analysis framework for the benefit-risk feedback system of watershed reservoir groups L. Zheng et al. https://doi.org/10.1016/j.watres.2025.123342
- Combined drought index for drought monitoring and severity assessment under future climate and land use changes K. Kuntiyawichai et al. https://doi.org/10.1016/j.scitotenv.2026.181704
- A trend-preserving statistical downscaling framework and its application to China’s offshore wind field H. Wang et al. https://doi.org/10.1007/s10584-025-04056-6
- SEAS5-BCSD: a bias-corrected and downscaled global seasonal forecast reference dataset for 1981–2024 J. Weber et al. https://doi.org/10.5194/essd-18-5259-2026
- The impact of climate change on a large industrial winter road operation in Northern Canada J. Song et al. https://doi.org/10.1016/j.coldregions.2026.104952
- Vulnerability of the freshwater lens to groundwater abstraction and climate change on Muli Island, Maldives B. Sisay et al. https://doi.org/10.1007/s10040-026-03141-z
- Evaluating the role of observational uncertainty in climate impact assessments: Temperature-driven yellow fever risk in South America S. Jahn et al. https://doi.org/10.1371/journal.pclm.0000601
- Can wet heatwaves be represented by CMIP6 models and bias-corrected NEX-GDDP-CMIP6? Z. Zhao et al. https://doi.org/10.1016/j.wace.2025.100790
- Enhanced risk to India’s west coast: Bias-corrected high-resolution CMIP6 projections of regional sea level rise D. Joseph & M. Manoj https://doi.org/10.1016/j.dynatmoce.2026.101696
- Assessment of Heat Stress Hazards in Africa Using CMIP6 and NEX-GDDP Datasets O. Oloniyo et al. https://doi.org/10.1007/s41748-026-01028-3
- Developing Guidelines for working with Multi-Model Ensembles in CMIP A. Katzenberger et al. https://doi.org/10.5194/esd-17-495-2026
- Bias correction of CMIP6 models using quantile delta mapping for projecting future IDF curves: case study of the hyderabad metropolitan region S. Saravanan & S. Ji https://doi.org/10.1007/s00704-026-06366-w
- Multivariate bias correction of ERA5 using in-situ observations for planning and engineering D. Rasmussen https://doi.org/10.1088/2752-5295/ae63ee
- Shifting baselines alter trends and emergence of climate extremes across Africa T. Taguela & A. Akinsanola https://doi.org/10.1016/j.atmosres.2026.108839
- Future climate scenarios and their impact on carbonation of reinforced concrete structures in Brazil C. Teodoro et al. https://doi.org/10.1016/j.cscm.2026.e06125
Saved (final revised paper)
Latest update: 10 Sep 2026
Short summary
The freely available Global Downscaled Projections for Climate Impacts Research (GDPCIR) dataset gives researchers a new tool for studying how future climate will evolve at a local or regional level, corresponding to the latest global climate model simulations prepared as part of the UN Intergovernmental Panel on Climate Change’s Sixth Assessment Report. Those simulations represent an enormous advance in quality, detail, and scope that GDPCIR translates to the local level.
The freely available Global Downscaled Projections for Climate Impacts Research (GDPCIR) dataset...
