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A method for investigating the relative importance of three components in overall uncertainty of climate projections
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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On the possible interaction between internal climate variability and forced climate change
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Assessing the limits of bias‐correcting climate model outputs for climate change impact studies
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Uncertainty partition challenges the predictability of vital details of climate change
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Climate model genealogy: Generation CMIP5 and how we got there
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Uncertainty in future regional sea level rise due to internal climate variability
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Projections for the duration and degree days of the thermal growing season in Europe derived from CMIP5 model output
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Reliability of climate model multi‐member ensembles in estimating internal precipitation and temperature variability at the multi‐decadal scale
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The potential to narrow uncertainty in projections of regional precipitation change
inferredcites →https://doi.org/10.1007/s00382-010-0977-xopenalex-snapshot
Uncertainty in climate change projections: the role of internal variability
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Analysis of uncertainties in future climate projections for South America: comparison of WCRP-CMIP3 and WCRP-CMIP5 models
inferredcites →https://doi.org/10.1007/s00382-012-1610-yopenalex-snapshot
Climate model dependence and the replicate Earth paradigm
inferredcites →https://doi.org/10.1007/s00382-014-2312-4openalex-snapshot
Uncertainty in the future change of extreme precipitation over the Rhine basin: the role of internal climate variability
inferredcites →https://doi.org/10.1007/s10584-011-0156-zopenalex-snapshot
The RCP greenhouse gas concentrations and their extensions from 1765 to 2300
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Framing the way to relate climate extremes to climate change
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Quantifying 21st-century France climate change and related uncertainties
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Tropical origins for recent and future Northern Hemisphere climate change
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Twentieth century climate model response and climate sensitivity
inferredcites →https://doi.org/10.1029/2009gl037593openalex-snapshot
Time of emergence (TOE) of GHG‐forced precipitation change hot‐spots
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Time of emergence of climate signals
inferredcites →https://doi.org/10.1029/2011jd016263openalex-snapshot
Separating signal and noise in atmospheric temperature changes: The importance of timescale
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Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed
inferredcites →https://doi.org/10.1038/416723aopenalex-snapshot
Origins and estimates of uncertainty in predictions of twenty-first century temperature rise
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The next generation of scenarios for climate change research and assessment
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Communication of the role of natural variability in future North American climate
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Robust spatially aggregated projections of climate extremes
inferredcites →https://doi.org/10.1080/00401706.1966.10490365openalex-snapshot
Probability, Random Variables, and Stochastic Processes
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When will trends in European mean and heavy daily precipitation emerge?
inferredcites →https://doi.org/10.1126/science.1145956openalex-snapshot
A Changing Climate for Prediction
inferredcites →https://doi.org/10.1175/1520-0442(2001)014<2088:ciccic>2.0.co;2openalex-snapshot
CO2-Induced Climate Change in CMIP2 Experiments: Quantification of Agreement and Role of Internal Variability
inferredcites →https://doi.org/10.1175/2007jcli2119.1openalex-snapshot
A Review of Uncertainties in Global Temperature Projections over the Twenty-First Century
inferredcites →https://doi.org/10.1175/2009bams2607.1openalex-snapshot
The Potential to Narrow Uncertainty in Regional Climate Predictions
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On the Effective Number of Climate Models
inferredcites →https://doi.org/10.1175/2011jcli4085.1openalex-snapshot
A Simple, Coherent Framework for Partitioning Uncertainty in Climate Predictions
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An Overview of CMIP5 and the Experiment Design
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The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability
inferredcites →https://doi.org/10.1175/jcli-d-11-00518.1openalex-snapshot
The 1960s Drought and the Subsequent Shift to a Wetter Climate in the Catskill Mountains Region of the New York City Watershed*
inferredcites →https://doi.org/10.1175/jcli-d-12-00788.1openalex-snapshot
Uncertainty in Climate Change Projections of the Hadley Circulation: The Role of Internal Variability
inferredcites →https://doi.org/10.1175/jcli-d-13-00451.1openalex-snapshot
Projecting North American Climate over the Next 50 Years: Uncertainty due to Internal Variability*
inferredcites →https://doi.org/10.1175/jcli-d-13-00629.1openalex-snapshot
Partitioning Internal Variability and Model Uncertainty Components in a Multimember Multimodel Ensemble of Climate Projections
inferredcites →https://doi.org/10.1175/jcli-d-14-00453.1openalex-snapshot
Uncertainty in Twenty-First-Century CMIP5 Sea Level Projections
inferredcites →https://doi.org/10.1175/jhm-d-15-0099.1openalex-snapshot
Using Natural Variability as a Baseline to Evaluate the Performance of Bias Correction Methods in Hydrological Climate Change Impact Studies
inferredcites →https://doi.org/10.2166/nh.2018.059openalex-snapshot
Timing of human-induced climate change emergence from internal climate variability for hydrological impact studies
inferredcites →https://doi.org/10.2307/2278173openalex-snapshot
Economic Stabilization in an Unbalanced World.
inferredcites →https://doi.org/10.3390/w8110491openalex-snapshot
Interannual Variability in Global Mean Sea Level Estimated from the CESM Large and Last Millennium Ensembles
inferredcites →https://doi.org/10.48550/arxiv.0909.1890openalex-snapshot
CMIP3 ensemble spread, model similarity, and climate prediction uncertainty
inferredcites →https://doi.org/10.5194/esd-4-95-2013openalex-snapshot
Scenario and modelling uncertainty in global mean temperature change derived from emission-driven global climate models
inferredcites →https://doi.org/10.5194/hess-16-4343-2012openalex-snapshot
Quantifying different sources of uncertainty in hydrological projections in an Alpine watershed
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4844267openalex-extracted
The Impact of Climatic Parameters on the Streamflows & Future Sustainable Hydro-Energy Generation Predicting Streamflows for the 21st Century Under Climate Change Scenarios
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Downscaling climate change of mean climatology and extremes of precipitation and temperature: Application to a Mediterranean climate basin
inferred← citeshttps://doi.org/10.1007/s12517-020-05881-yopenalex-snapshot
Evaluating the impact of climate change on stream flow: integrating GCM, hydraulic modelling and functional data analysis
inferred← citeshttps://doi.org/10.1007/s13351-021-1012-3openalex-snapshot
Uncertainty in Projection of Climate Extremes: A Comparison of CMIP5 and CMIP6
inferred← citeshttps://doi.org/10.1016/j.ejrh.2022.101299openalex-snapshot
Response of runoff processes to temperature rise in basins with different glacier ratios in the monsoon-influenced southern Tibetan Plateau
inferred← citeshttps://doi.org/10.1016/j.ejrh.2026.103741openalex-snapshot
Investigating climate change-induced extreme floods: Insights from super-high-resolution climate datasets using Rainfall-Runoff-Inundation (RRI) model
inferred← citeshttps://doi.org/10.1016/j.indcrop.2024.118319openalex-snapshot
Cotton yield responses to climate change and adaptability of sowing date simulated by AquaCrop model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.131397openalex-snapshot
Intensified response of extreme precipitation to rising temperature over the Tibetan Plateau from CMIP6 multi-model ensembles
inferred← citeshttps://doi.org/10.1029/2020wr028638openalex-snapshot
Climate Change Impact Studies: Should We Bias Correct Climate Model Outputs or Post‐Process Impact Model Outputs?
inferred← citeshttps://doi.org/10.1029/2022ef002963openalex-snapshot
Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques
inferred← citeshttps://doi.org/10.1029/2024ef005615openalex-snapshot
Advancing the Reliability of Future Hydrological Projections in a Snow‐Dominated Alpine Watershed: Integrating Uncertainty Decomposition and CycleGAN Bias Correction
inferred← citeshttps://doi.org/10.1175/jcli-d-20-0424.1openalex-snapshot
Relative Importance of Internal Climate Variability versus Anthropogenic Climate Change in Global Climate Change
inferred← citeshttps://doi.org/10.1175/jcli-d-23-0064.1openalex-snapshot
A New Framework for Estimating and Decomposing the Uncertainty of Climate Projections
inferred← citeshttps://doi.org/10.2139/ssrn.7593827openalex-snapshot
Large-Scale Mechanisms During Multi-year Droughts in Southeast Australia
inferred← citeshttps://doi.org/10.2166/nh.2020.254openalex-snapshot
Impacts of bias nonstationarity of climate model outputs on hydrological simulations
inferred← citeshttps://doi.org/10.2166/wcc.2019.172openalex-snapshot
Functional data analysis of models for predicting temperature and precipitation under climate change scenarios
inferred← citeshttps://doi.org/10.2166/wcc.2020.254openalex-snapshot
Modelling potential impact of climate change and uncertainty on streamflow projections: a case study
inferred← citeshttps://doi.org/10.3389/fenvs.2022.847475openalex-snapshot
Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method
inferred← citeshttps://doi.org/10.3390/atmos15010079openalex-snapshot
Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects
inferred← citeshttps://doi.org/10.3390/w14182800openalex-snapshot
The Future Change in Evaporation Based on the CMIP6 Merged Data Generated by Deep-Learning Method in China
inferred← citeshttps://doi.org/10.5194/hess-24-3251-2020openalex-snapshot
Assessment of extreme flows and uncertainty under climate change: disentangling the uncertainty contribution of representative concentration pathways, global climate models and internal climate variability
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