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Upgrade of the HadGEM3-A based attribution system to high resolution and a new validation framework for probabilistic event attribution
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Do seasonal‐to‐decadal climate predictions underestimate the predictability of the real world?
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Attribution of extreme weather and climate events overestimated by unreliable climate simulations
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Can multi‐model combination really enhance the prediction skill of probabilistic ensemble forecasts?
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Global Seasonal forecast system version 5 (GloSea5): a high‐resolution seasonal forecast system
inferredcites →https://doi.org/10.1002/wcc.380openalex-snapshot
Attribution of extreme weather and climate‐related events
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Attribution of Weather and Climate-Related Events
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Estimating signal amplitudes in optimal fingerprinting, part I: theory
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Multiple perspectives on the attribution of the extreme European summer of 2012 to climate change
inferredcites →https://doi.org/10.1007/s003820050291openalex-snapshot
Checking for model consistency in optimal fingerprinting
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The RCP greenhouse gas concentrations and their extensions from 1765 to 2300
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inferredcites →https://doi.org/10.1016/j.wace.2016.07.001openalex-snapshot
Comparing regional precipitation and temperature extremes in climate model and reanalysis products
inferredcites →https://doi.org/10.1016/j.wace.2018.03.001openalex-snapshot
Early 21st century anthropogenic changes in extremely hot days as simulated by the C20C+ detection and attribution multi-model ensemble
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Global and regional anthropogenic sulfur dioxide emissions
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Statistical Analysis in Climate Research
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Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century
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inferredcites →https://doi.org/10.1029/2011jd017187openalex-snapshot
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inferredcites →https://doi.org/10.1038/nature09762openalex-snapshot
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inferredcites →https://doi.org/10.1038/nclimate2468openalex-snapshot
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inferredcites →https://doi.org/10.1038/nclimate2657openalex-snapshot
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Multi-method attribution analysis of extreme precipitation in Boulder, Colorado
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Global meteorological influences on the record UK rainfall of winter 2013–14
inferredcites →https://doi.org/10.1098/rsif.2013.1162openalex-snapshot
On the reliability of seasonal climate forecasts
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Explaining Extreme Events of 2011 from a Climate Perspective
inferredcites →https://doi.org/10.1175/bams-d-13-00085.1openalex-snapshot
Explaining Extreme Events of 2012 from a Climate Perspective
inferredcites →https://doi.org/10.1175/bams-d-15-00094.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/bams-d-16-0143.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/bams-d-16-0144.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/bams-explainingextremeevents2015.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/bams-explainingextremeevents2017.1openalex-snapshot
Explaining Extreme Events of 2017 from a Climate Perspective
inferredcites →https://doi.org/10.1175/jcli-d-12-00169.1openalex-snapshot
A New HadGEM3-A-Based System for Attribution of Weather- and Climate-Related Extreme Events
inferredcites →https://doi.org/10.1175/jcli-d-13-00563.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/jcli-d-15-0196.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/jcli-d-15-0868.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/jcli-d-17-0464.1openalex-snapshot
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inferredcites →https://doi.org/10.1175/jcli-d-17-0589.1openalex-snapshot
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inferredcites →https://doi.org/10.1201/9781315140919openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1256/qj.04.101openalex-snapshot
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inferredcites →https://doi.org/10.2172/15020102openalex-snapshot
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inferredcites →https://doi.org/10.2307/2669798openalex-snapshot
Statistical Analysis in Climate Research
inferredcites →https://doi.org/10.5194/acp-10-7017-2010openalex-snapshot
Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application
inferredcites →https://doi.org/10.5194/acp-11-11267-2011openalex-snapshot
Ozone database in support of CMIP5 simulations: results and corresponding radiative forcing
inferredcites →https://doi.org/10.5194/esd-8-719-2017openalex-snapshot
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inferredcites →https://doi.org/10.5194/gmd-12-1909-2019openalex-snapshot
The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations
inferredcites →https://doi.org/10.5194/gmd-4-543-2011openalex-snapshot
The HadGEM2-ES implementation of CMIP5 centennial simulations
inferredcites →https://doi.org/10.5194/gmd-4-677-2011openalex-snapshot
The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
inferredcites →https://doi.org/10.5194/gmd-4-701-2011openalex-snapshot
The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Using extreme event attribution to quantify climate change impacts on human mobility: a flood-displacement feasibility study in Somalia
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inferred← citeshttps://doi.org/10.1007/s00382-019-05002-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00382-021-06091-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00382-022-06403-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00382-023-06719-5openalex-snapshot
Human activity and simultaneous high-pressure anomalies influence the long-duration cold events of winter in China
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Dominant role of circulation induced “Warm Arctic-Cold Eurasia” pattern in the record-breaking cold event over Central Eurasia in December 2023
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Western amazon 2020 extreme heatwave
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Prolonged Siberian heat of 2020 almost impossible without human influence
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Pathways and pitfalls in extreme event attribution
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Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020
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Experiment design of the International CLIVAR C20C+ Detection and Attribution project
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Increase in the frequency of extreme daily precipitation in the United Kingdom in autumn
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inferred← citeshttps://doi.org/10.1016/j.wace.2024.100706openalex-snapshot
Anthropogenic influences on the extremely dry and hot summer of 2020 in Southern China and projected changes in the likelihood of the event
inferred← citeshttps://doi.org/10.1016/j.wace.2024.100707openalex-snapshot
Anthropogenic forcing and subtropical anticyclonic drivers of the August 2022 heatwave in China
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Anthropogenic forcing intensified internally driven concurrent heatwaves in August 2022 across the Northern Hemisphere
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Unprecedented 2024 East Antarctic winter heatwave driven by polar vortex weakening and amplified by anthropogenic warming
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Detectable anthropogenic changes in daily-scale circulations driving summer rainfall shifts over eastern China
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Anthropogenic climate change contribution to wildfire-prone weather conditions in the Cerrado and Arc of deforestation
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Very high fire danger in UK in 2022 at least 6 times more likely due to human-caused climate change
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Attribution of the 2023 extreme spring hot drought event in Southwest China: meteorological and agricultural perspectives
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Understanding human influence on climate change in China
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The Role of Climate Change in the Expansion of Dengue
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Bias Correcting Climate Model Simulations Using Unpaired Image-to-Image Translation Networks
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Anthropogenic Warming has Substantially Increased the Likelihood of July 2017–Like Heat Waves over Central Eastern China
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The Extremely Wet March of 2017 in Peru
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Attribution of the Record-Breaking Consecutive Dry Days in Winter 2017/18 in Beijing
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Anthropogenic Influences on the Persistent Night-Time Heat Wave in Summer 2018 over Northeast China
inferred← citeshttps://doi.org/10.1175/bams-d-19-0179.1openalex-snapshot
Attribution Of The 2018 October–December Drought Over South Southern Africa
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Anthropogenic Influence on the 2018 Summer Warm Spell in Europe: The Impact of Different Spatio-Temporal Scales
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The Late Spring Drought of 2018 in South China
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The U.K.–China Climate Science to Service Partnership
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Was the Extended Rainy Winter 2018/19 over the Middle and Lower Reaches of the Yangtze River Driven by Anthropogenic Forcing?
inferred← citeshttps://doi.org/10.1175/bams-d-20-0128.1openalex-snapshot
Anthropogenic Influence on 2019 May–June Extremely Low Precipitation in Southwestern China
inferred← citeshttps://doi.org/10.1175/bams-d-20-0135.1openalex-snapshot
Anthropogenic Influences on Heavy Precipitation during the 2019 Extremely Wet Rainy Season in Southern China
inferred← citeshttps://doi.org/10.1175/bams-d-20-0156.1openalex-snapshot
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inferred← citeshttps://doi.org/10.1175/bams-d-20-0215.1openalex-snapshot
Anthropogenic Influences on the Extreme Cold Surge of Early Spring 2019 over the Southeastern Tibetan Plateau
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Attributing Compound Events to Anthropogenic Climate Change
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Human Contribution to the 2020 Summer Successive Hot-Wet Extremes in South Korea
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Reduced Probability of 2020 June–July Persistent Heavy Mei-yu Rainfall Event in the Middle to Lower Reaches of the Yangtze River Basin under Anthropogenic Forcing
inferred← citeshttps://doi.org/10.1175/bams-d-21-0175.1openalex-snapshot
Attribution of April 2020 Exceptional Cold Spell over Northeast China
inferred← citeshttps://doi.org/10.1175/bams-d-21-0176.1openalex-snapshot
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inferred← citeshttps://doi.org/10.1175/bams-d-22-0124.1openalex-snapshot
Attribution of the Unprecedented 2021 October Heatwave in South Korea
inferred← citeshttps://doi.org/10.1175/bams-d-23-0132.1openalex-snapshot
Anthropogenic Influence on 2022 June Extreme Rainfall over the Pearl River Basin
inferred← citeshttps://doi.org/10.1175/bams-d-23-0136.1openalex-snapshot
Anthropogenic Influence on 2022 Extreme January–February Precipitation in Southern China
inferred← citeshttps://doi.org/10.1175/bams-d-23-0175.1openalex-snapshot
Attribution of the August 2022 Extreme Heatwave in Southern China: Role of Dynamical and Thermodynamical Processes
inferred← citeshttps://doi.org/10.1175/bams-explainingextremeevents2017.1openalex-snapshot
Explaining Extreme Events of 2017 from a Climate Perspective
inferred← citeshttps://doi.org/10.1175/bams-explainingextremeevents2018.1openalex-snapshot
Explaining Extreme Events of 2018 from a Climate Perspective
inferred← citeshttps://doi.org/10.1175/jcli-d-17-0464.1openalex-snapshot
Different Ways of Framing Event Attribution Questions: The Example of Warm and Wet Winters in the United Kingdom Similar to 2015/16
inferred← citeshttps://doi.org/10.1175/jcli-d-19-0217.1openalex-snapshot
Describing the Relationship between a Weather Event and Climate Change: A New Statistical Approach
inferred← citeshttps://doi.org/10.1175/jcli-d-20-0666.1openalex-snapshot
Explaining the Spatial Pattern of U.S. Extreme Daily Precipitation Change
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1868647/v1openalex-snapshot
Reliable heatwave attribution based on successful operational weather forecasts
inferred← citeshttps://doi.org/10.2139/ssrn.7584822openalex-snapshot
Attributing the 2011 Megadisaster in the Mountainous Region of Rio de Janeiro State, Brazil, to Anthropogenic Climate Change: A Geographical Perspective
inferred← citeshttps://doi.org/10.3389/fenvs.2020.603061openalex-snapshot
Anthropogenic Influences on 2019 July Precipitation Extremes Over the Mid–Lower Reaches of the Yangtze River
inferred← citeshttps://doi.org/10.5194/ascmo-6-177-2020openalex-snapshot
A protocol for probabilistic extreme event attribution analyses
inferred← citeshttps://doi.org/10.5194/esd-10-271-2019openalex-snapshot
Human influence on European winter wind storms such as those of January 2018
inferred← citeshttps://doi.org/10.5194/essd-16-3601-2024openalex-snapshot
State of Wildfires 2023–2024
inferred← citeshttps://doi.org/10.5194/essd-17-5377-2025openalex-snapshot
State of Wildfires 2024–2025
inferred← citeshttps://doi.org/10.5194/nhess-21-941-2021openalex-snapshot
Attribution of the Australian bushfire risk to anthropogenic climate change
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