ArticleScientific data2020
High-resolution and bias-corrected CMIP5 projections for climate change impact assessments.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed, 420 citations in OpenAlex.
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- Amplified warming in tropical and subtropical cities under 2 °C climate change.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Reconstruction of Holocene Northern Hemisphere precipitation fields using paleoclimate data assimilation.Scientific data · 2026Article
- Organic Compounds as a Natural Alternative for Pest Control: How Will Climate Change Affect Their Effectiveness?Plants (Basel, Switzerland) · 2025Article
- Near-term climate extremes in Iran based on compound hazards analysis.Scientific reports · 2025Article
- Deeply divergent human exposure to food crises across socioeconomic pathways.Scientific reports · 2025Article
- Predictions of southern migration timing in coastal sharks under future ocean warming.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Global Bias-Corrected CORDEX Datasets at Half Degree Resolution.Scientific data · 2025Article
- Climate change projections using CMIP6 GCMs and downscaling approaches in the Upper Wabe Shebele Basin, Ethiopia.Scientific reports · 2025Article
- Enhancing kelp productivity in restoration and assisted adaptation interventions under ocean warming.Scientific reports · 2025Article
- Global monthly CMIP6-downscaled high-resolution (1 km) near-surface air temperature dataset (1950-2100).Scientific data · 2025Article
- High-resolution climate data reveals increased risk of Pierce's disease for grapevines worldwide.Scientific reports · 2025Article
- Woody and Herbaceous Species Diversity Respond Differently to Environmental Variables in Semiarid Areas in Ghana.Ecology and evolution · 2025Article
- A 1 km monthly dataset of historical and future climate changes over China.Scientific data · 2025Article
- Article
- Assessing the impact of artificial snowmaking on Dagu Glacier variation: a case study from a tourism glacier.Scientific reports · 2025Article
- Bias-corrected high-resolution temperature and precipitation projections for Canada.Scientific data · 2025Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Projections of climate change are available at coarse scales (70-400 km). But agricultural and species models typically require finer scale climate data to model climate change impacts. Here, we present a global database of future climates developed by applying the delta method -a method for climate model bias correction. We performed a technical evaluation of the bias-correction method using a 'perfect sibling' framework and show that it reduces climate model bias by 50-70%. The data include monthly maximum and minimum temperatures and monthly total precipitation, and a set of bioclimatic indices, and can be used for assessing impacts of climate change on agriculture and biodiversity. The data are publicly available in the World Data Center for Climate (WDCC; cera-www.dkrz.de), as well as in the CCAFS-Climate data portal (http://ccafs-climate.org). The database has been used up to date in more than 350 studies of ecosystem and agricultural impact assessment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.