ArticleScientific data2026
A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Global Bias-Corrected CORDEX Dataset at Quarter Degree Resolution.Scientific data · 2026Article
- A Bias-Corrected HighResMIP Dataset for Impact Assessment Studies.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Climate impact assessments increasingly require high-resolution climate projections that capture fine-scale processes. While the High Resolution Model Intercomparison Project (HighResMIP) provides global climate simulations at 25-50 km resolution without statistical downscaling, systematic biases still limit their direct application for impact assessment studies. Here we present BC-HiRMIP, the first comprehensive globally bias-adjusted HighResMIP experiments at daily temporal and 0.5° spatial resolution, covering the period 1979-2050. Across four global climate models (MPI-ESM1-2-XR, EC-Earth3P-HR, CNRM-CM6-1-HR, HadGEM3-GC31-HM), BC-HiRMIP includes up to 11 essential meteorological variables (temperature, precipitation, humidity, radiation, wind, and pressure), spanning equilibrium climate sensitivities of 2.99-5.62 °C. The datasets were bias adjusted using the ISIMIP3BASD v3.0.1 methodology that preserves model-projected climate change signals across distribution quantiles with W5E5 v2.0 as reference. Comprehensive validation across diverse climate zones demonstrates substantial bias reduction, minor differences between raw and bias-adjusted climate change signals and distributional characteristics. This standardized, multi-variable, multi-model dataset bridges the gap between climate modeling capabilities and impact assessment needs, enabling applications in hydrology, agriculture, renewable energy, and climate service research.
Identifiers
What OpenQuestion holds
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.