Jan S. Fuglestvedt’s research while affiliated with Woodwell Climate Research Center and other places

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Publications (175)


Surface temperature anomalies and record margins since 1970
a Annual mean global surface temperature anomalies (GSTA), for four data series, relative to 1850–1900 (1880–1900 for GISTEMP). b Annual mean surface temperature record margins (increase over the previously highest recorded value). Dashed lines indicate El Niño dominated years (1998, 2016, 2023).
Recent global mean surface temperature anomaly evolution in HadCRUT5
a Annual means, and corrections from the SST pattern quantified via a Green’s Function. 2023 and 2016 stand out as having notably strong positive SST pattern corrections. b–d Similar, for previous strong SST correction years (1952, 1969, 1998). e Monthly correction factors, for 1950–2023 (box-and-whisker) and the selected strong correction years. The box shows the 5–95% range, and the whiskers show the max/min range. f Annual correction factors, for CMIP6 (box-and-whisker), and HadCRUT5 (1950–2023). Strong correction years are shown in colours.
50 years of global surface warming
All panels show global, annual mean surface temperature anomalies from the HadCRUT5 data series, raw (red) and SST influence filtered via a model-derived transfer function (black). The upper and lower insets show, respectively, the full data series since 1850, and the latest 10 years. Anomalies are taken relative to 1850–1900. The dashed black line shows the 50-year trend (0.19 °C/decade). Update from Samset et al.³.
Ocean basin contributions to the 2023 temperature anomaly
SST pattern-induced corrections to the annual mean global surface temperature anomaly, for a 2023 and c the four other strongest correction years in HadCRUT5 (1950–2023). Maps show the product of Green’s function and the observed SST pattern, such that the total correction (globally or regionally) is the sum of all relevant grid boxes. Note the unit (milli°C). Box-and-whiskers b show the mean, 5–95% and max/min ranges for five selected ocean basins, coloured dots show the strong correction years. Approximate ocean basin definitions are indicated by dashed boxes in the 2023 map.
2023 temperatures reflect steady global warming and internal sea surface temperature variability
  • Article
  • Full-text available

August 2024

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254 Reads

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5 Citations

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Jan S. Fuglestvedt

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2023 was the warmest year on record, influenced by multiple warm ocean basins. This has prompted speculation of an acceleration in surface warming, or a stronger than expected influence from loss of aerosol induced cooling. Here we use a recent Green’s function-based method to quantify the influence of sea surface temperature patterns on the 2023 global temperature anomaly, and compare them to previous record warm years. We show that the strong deviation from recent warming trends is consistent with previously observed sea surface temperature influences, and regional forcing. This indicates that internal variability was a strong contributor to the exceptional 2023 temperature evolution, in combination with steady anthropogenic global warming.

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Scenarios in IPCC assessments: lessons from AR6 and opportunities for AR7

January 2024

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315 Reads

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17 Citations

npj Climate Action

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Jan S. Fuglestvedt

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[...]

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Claudia Tebaldi

Scenarios have been an important integrating element in the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) in the understanding of possible climate outcomes, impacts and risks, and mitigation futures. Integration supports a consistent, coherent assessment, new insights and the opportunity to address policy-relevant questions that would not be possible otherwise, for example, which impacts are unavoidable, which are reversible, what is a consistent remaining carbon budget to keep temperatures below a level and what would be a consistent route of action to achieve that goal. The AR6 builds on community frameworks that are developed to support a coherent use of scenarios across the assessment, yet their use in the assessment and the related timelines presented coordination challenges. From lessons within each Working Group (WG) assessment and the cross-WG experience, we present insights into the role of scenarios in future assessments, including the enhanced integration of impacts into scenarios, near-term information and community coordination efforts. Recommendations and opportunities are discussed for how scenarios can support strengthened consistency and policy relevance in the next IPCC assessment cycle.


Steady course for global surface warming for 50 years
All panels show global, annual mean surface temperature anomalies from the HadCRUT5 data series, raw (red) and SST influence filtered via a model derived transfer function (black). The upper and lower insets show, respectively, the full data series since 1850, and the latest 10 years. Anomalies are taken relative to 1850–1899.
The rate of global surface warming has been elevated since around 1990
a Filtered global surface temperature anomalies for four data series, relative to a common baseline. Dashed lines show 20-year linear regressions for HadCRUT5. b Time evolution of rate-of-change of 20-year regressions for HadCRUT5. Open circles show unfiltered data, closed circles show filtered data. The dotted line shows the 50-year warming rate, the yellow box shows the 5–95% confidence interval of the 50-year regression. The dashed line is a linear regression, showing the increase in warming rate over the 50-year period. c Warming rate increase (the regression coefficient from the fit in b), as function of the length of the fit window, for HadCRUT5. The dotted line shows the 20-year window from b. Error bars are 5–95% confidence intervals from the regression. Open circles and dashed lines (offset for clarity) show unfiltered data. d 50-year filtered warming rates (y-axis) vs the increase in rate over this period, for four data series (colored circles) and 119 CMIP6 simulations (dots). For CMIP6, the colors indicate the Equilibrium Climate Sensitivity (ECS). Diamonds and triangles show members from three Large Ensembles (CanESM5, ACCESS-ESM1–5, MPI-ESM1-2-LR).
Steady global surface warming from 1973 to 2022 but increased warming rate after 1990

November 2023

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219 Reads

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21 Citations

The change in global mean surface temperature is a crucial and broadly used indicator of the evolution of climate change. Any decadal scale changes in warming rate are however obfuscated by internal variability. Here we show that the surface temperature increase through the recent La Nina influenced years (2022) is consistent with the 50-year trend of 0.18 °C/decade. We use an Earth System Model based tool to filter out modulations to the warming rate by sea-surface temperature patterns and find consistent warming rates in four major global temperature data series. However, we also find clear indications, in all observational series, of a step-up in warming rate since around 1990. CMIP6 models generally do not capture this observed combination of long-term warming rate and recent increase.


Best‐estimates for climate forcing terms from global aviation from 1940 to 2018 (from Lee et al., 2021). The bars and whiskers show ERF best estimates and the 5%–95% confidence intervals, respectively. Red bars indicate warming terms and blue bars indicate cooling terms. Numerical ERF and RF values are given in the columns with 5%–95% confidence intervals along with ERF/RF ratios and confidence levels.
Effects of total (international and domestic) aviation emissions on global mean surface temperature from (a) CO2 only and (b) from CO2 plus non‐CO2 (contrail‐cirrus, BC, SO2, NOx). Insert shows CO2 emissions from aviation in the selected scenarios. Calculated for five selected SSP scenarios and best estimates of ERF in 2018 from Lee et al. (2021) using the CICERO Simple Climate Model (Nicholls et al., 2020) following the methodology from Skeie et al. (2017). Note that in this methodology, future contrail‐cirrus radiative forcing is derived through scaling with CO2 emission as a proxy for fuel use, assuming continued fossil fuel usage. Substitutions to alternative fuels (such as may underlie the SSPs) can affect the relationship between fuel burn and contrail formation. By not capturing such changes in our calculations, our estimates of contrail‐cirrus contribution to warming could be over‐ or underestimated.
(a) Total CO2‐equivalent emissions for SSP1‐2.6 in 2050 calculated with different metrics and (b) corresponding amounts of CO2 removal for compensation. In addition to the central estimate, low and high estimates are calculated with emission metrics derived using the best estimate and lower and upper range of ERF from Lee et al. (2021).
Global mean temperature response following constant emissions at the 2050 level (for SSP1‐2.6). (a) For individual components and net response, with CO2 removals for balance calculated with GWP100 and (b) net response when the amount of CO2 removals required for balance is calculated with different metrics. The temperature effects are calculated using the concept of absolute temperature change potential (AGTP), an emission‐metric based emulator of climate response, following the approach by Lund et al. (2020) and with the AGTP values consistent with Lee et al. (2021).
A “greenhouse gas balance” for aviation in line with the Paris Agreement

June 2023

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426 Reads

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18 Citations

Wiley interdisciplinary reviews: Climate Change

The effects of aviation on climate pose unique policy challenges. A large fraction of the CO2 emissions (65%) is international and not (explicitly) included in the Paris Agreement. The interpretation of Article 4.1 on achieving a “balance between anthropogenic emissions by sources and removals by sinks of greenhouse gases” is ambiguous in the context of aviation because of the substantial non‐CO2 effects associated with the sector. For the achievement of the temperature goal in Article 2, both CO2 and non‐CO2 effects are important. The non‐CO2 effects contribute 66% of the sectoral total climate effect (in terms of Effective Radiative Forcing; ERF) at present, with significant uncertainties. The largest of these non‐CO2 effects, contrail‐cirrus and the net‐effect of NOx, are not caused by direct greenhouse gas emissions, representing another ambiguity as to whether they should be included in the balance concept. We discuss the role of aviation in the context of the Paris Agreement, and present illustrative calculations of a hypothetical aviation “greenhouse gas balance.” Several questions are addressed: Which components should be included? If an aggregate of components is adopted for the “balance,” which metric should be used? How can the large differences in timescales as well as the large intrinsic underlying ERF uncertainties be handled? We demonstrate that these choices result in very different requirements for CO2‐removal from the atmosphere and different temperature outcomes over time. The article provides policymakers with an overview of issues and choices that are important regarding which approach is most appropriate for defining and achieving a greenhouse gas balance for aviation in the context of the Paris Agreement. This article is categorized under: Policy and Governance > International Policy Framework Climate and Development > Knowledge and Action in Development Paleoclimates and Current Trends > Climate Forcing


The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

December 2022

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355 Reads

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134 Citations

While the Intergovernmental Panel on Climate Change (IPCC) physical science reports usually assess a handful of future scenarios, the Working Group III contribution on climate mitigation to the IPCC's Sixth Assessment Report (AR6 WGIII) assesses hundreds to thousands of future emissions scenarios. A key task in WGIII is to assess the global mean temperature outcomes of these scenarios in a consistent manner, given the challenge that the emissions scenarios from different integrated assessment models (IAMs) come with different sectoral and gas-to-gas coverage and cannot all be assessed consistently by complex Earth system models. In this work, we describe the “climate-assessment” workflow and its methods, including infilling of missing emissions and emissions harmonisation as applied to 1202 mitigation scenarios in AR6 WGIII. We evaluate the global mean temperature projections and effective radiative forcing (ERF) characteristics of climate emulators FaIRv1.6.2 and MAGICCv7.5.3 and use the CICERO simple climate model (CICERO-SCM) for sensitivity analysis. We discuss the implied overshoot severity of the mitigation pathways using overshoot degree years and look at emissions and temperature characteristics of scenarios compatible with one possible interpretation of the Paris Agreement. We find that the lowest class of emissions scenarios that limit global warming to “1.5 ∘C (with a probability of greater than 50 %) with no or limited overshoot” includes 97 scenarios for MAGICCv7.5.3 and 203 for FaIRv1.6.2. For the MAGICCv7.5.3 results, “limited overshoot” typically implies exceedance of median temperature projections of up to about 0.1 ∘C for up to a few decades before returning to below 1.5 ∘C by or before the year 2100. For more than half of the scenarios in this category that comply with three criteria for being “Paris-compatible”, including net-zero or net-negative greenhouse gas (GHG) emissions, median temperatures decline by about 0.3–0.4 ∘C after peaking at 1.5–1.6 ∘C in 2035–2055. We compare the methods applied in AR6 with the methods used for SR1.5 and discuss their implications. This article also introduces a “climate-assessment” Python package which allows for fully reproducing the IPCC AR6 WGIII temperature assessment. This work provides a community tool for assessing the temperature outcomes of emissions pathways and provides a basis for further work such as extending the workflow to include downscaling of climate characteristics to a regional level and calculating impacts.


The classification‐relevant exceedance probabilities of Special Report on Global Warming of 1.5°C (SR1.5) scenarios are similar when re‐assessed with MAGICCv7.5.3, slightly lower with FaIRv1.6.2 and lower with FaIR1.3. (a) 1.5°C exceedance probabilities in 2100 from MAGICCv7.5.3 (blue dots), FaIRv1.6.2 (red dots) and FaIR1.3 (gray dots) compared to the data used for SR1.5 categorization that is, MAGICC6. (b) As in panel a, but for peak warming. (c) As in panel a, but for 2°C warming. (d) As in panel a, but for 2°C peak warming. The vertical and horizontal lines delineate the scenario classifications. To aid comparisons, dashed diagonal lines show the 1:1 line (points below the diagonal indicate higher outcomes with MAGICC6 than with the other emulators).
Change in time at which 1.5°CC warming is first crossed and then returned below in scenarios which were classified as 1.5°CC with low overshoot in Special Report on Global Warming of 1.5°C (SR1.5). (a) Crossing times based on MAGICCv7.5.3 relative to the crossing times based on the SR1.5 data (MAGICC6). (b) Crossing times based on MAGICCv7.5.3. (c) Crossing times based on the SR1.5 data (MAGICC6). (d) Timeseries of temperature evolution in the considered pathways.
Contributions to changes in temperature projections, illustrated using the SSP1‐1.9 scenario. We compare MAGICC6 as used in Special Report on Global Warming of 1.5°C (SR1.5) (pink line), “AR5‐like” MAGICCv.7.5.3 (green line) and MAGICCv7.5.3 as used in AR6 (blue line). For comparison, we also plot HadCRUT4.6.0.0 (gray dashed line) and HadCRUT5.0.1.0 (black dashed line). HadCRUT4.6.0.0 is used as a proxy for the AR5 historical temperature assessment (which MAGICC6 and AR5‐like MAGICCv.7.5.3 are calibrated to) while HadCRUT5.0.1.0 is used as a proxy for the AR6 historical temperature assessment (which MAGICCv7.5.3 is calibrated to).
Sensitivity of net zero CO2 year in different categories to emulator choice. For each category (x‐axis), we show the distribution (black line shows median, box shows 5%–95% range and dots show individual scenarios) of net zero CO2 year based on either the SR1.5 classification emulator (MAGICC6), MAGICCv7.5.3 or FaIRv1.6.2 (both as used in AR6). For the number of scenarios in each distribution, see Table 1.
Changes in IPCC Scenario Assessment Emulators Between SR1.5 and AR6 Unraveled

October 2022

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258 Reads

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19 Citations

Plain Language Summary The IPCC's latest physical science report, the Working Group 1 Contribution to the Sixth Assessment Report (AR6), was released in August 2021. That report includes an update to the tools used to project the climate outcome of emission scenarios. Here we apply these newly calibrated tools, called earth system model emulators, to the set of scenarios assessed in the IPCC's Special Report on warming of 1.5°C (SR1.5). We find that two compensating changes lead to a remarkable consistency (peak warming projections within 0.1°C) between the projections made by the emulators used in SR1.5 and their descendants used in AR6. First, updates to the historical warming assessment since the SR1.5 (which was based on the IPCC's 2013 physical science report (AR5)) increase future warming projections. However, improved consistency between the emulators and the assessment of the underlying physics, particularly the short‐term warming response to emissions, lowers warming projections by an approximately equivalent amount. Our work reinforces the key messages from the IPCC: limiting warming to around 1.5°C is a great and urgent challenge, and it is up to us to decide whether we pull out all the stops to hold temperatures around 1.5°C or whether we sail on by.




The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

June 2022

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272 Reads

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8 Citations

While the IPCC’s physical science report usually assesses a handful of future scenarios, the IPCC Sixth Assessment Working Group III report (AR6 WGIII) on climate mitigation assesses hundreds to thousands of future emissions scenarios. A key task is to assess the global-mean temperature outcomes of these scenarios in a consistent manner, given the challenge that the emission scenarios from different integrated assessment models come with different sectoral and gas-to-gas coverage and cannot all be assessed consistently by complex Earth System Models. In this work, we describe the “climate assessment” workflow and its methods, including infilling of missing emissions and emissions harmonisation as applied to 1,202 mitigation scenarios in AR6 WGIII. We evaluate the global-mean temperature projections and effective radiative forcing characteristics (ERF) of climate emulators FaIRv1.6.2, MAGICCv7.5.3, and CICERO-SCM, discuss overshoot severity of the mitigation pathways using overshoot degree years, and look at an interpretation of compatibility with the Paris Agreement. We find that the lowest class of emission scenarios that limit global warming to “1.5 °C (with a probability of greater than 50 %) with no or limited overshoot” includes 90 scenarios for MAGICCv7.5.3, and 196 for FaIRv1.6.2. For the MAGICCv7.5.3 results, “limited overshoot” typically implies exceedance of median temperature projections of up to about 0.1 °C for up to a few decades, before returning to below 1.5 °C by or before the year 2100. For more than half of the scenarios of this category that comply with three criteria for being “Paris-compatible”, including net-zero or net-negative greenhouse gas (GHG) emissions, are projected to see median temperatures decline by about 0.3–0.4 °C after peaking at 1.5–1.6 °C in 2035–2055. We compare the methods applied in AR6 with the methods used for SR1.5 and discuss the implications. This article also introduces a ‘climate-assessment’ Python package which allows for fully reproducing the IPCC AR6 WGIII temperature assessment. This work can be the start of a community tool for assessing the temperature outcomes related to emissions pathways, and potential further work extending the workflow from emissions to global climate by downscaling climate characteristics to a regional level and calculating impacts.



Citations (87)


... Climate change poses a significant threat worldwide, leading to severe and erratic weather events such as extreme rainfall, droughts, floods, storms, heatwaves, and forest fires [7], [8], [9], [10]. Among the most notable impacts of climate change are rainfall anomaly and rising temperature, which pose major threats and particular impact on agriculture, water resources, ecosystems, and human life [11], [12], [13], [14], [15], [16]. ...

Reference:

Climate change and its impacts on hydrological regimes over the Bengal delta
2023 temperatures reflect steady global warming and internal sea surface temperature variability

... Under the current global development situation, energy security and environmental protection are facing multiple complex problems and challenges, such as increasing risks in the energy supply chain and intensified climate change [1][2][3][4][5][6]. These issues are not only related to national economic development and social stability, but also directly affect the sustainability of the global ecological environment and the quality of human survival [7][8][9]. ...

Scenarios in IPCC assessments: lessons from AR6 and opportunities for AR7

npj Climate Action

... 최근 기후 변화는 전 세계의 농업 생산량에 심각한 영향을 미치고 있 다 (Yuan et al., 2024 (Samset et al., 2023). 이러한 온 도 상승은 옥수수, 밀, 쌀, 대두와 같은 주요 작물의 수확량 감소에 중 요한 영향을 미치는 요소로 분석된다 (Lobell et al., 2011). ...

Steady global surface warming from 1973 to 2022 but increased warming rate after 1990

... To put this into perspective, the per-passenger emissions produced by a round-trip flight from Lisbon to New York are approximately equivalent to the emissions generated by an average person in the European Union when heating their home for an entire year 3 , which is large enough to rank the aviation industry among the top 10 emitters in the world if it was considered a country 3 . The significance of emissions from the aviation industry is amplified by the fact that most of the carbon dioxide (CO 2 ) produced by aviation is international, falling outside the scope of the Paris Agreement 4 . This emphasized the necessity of electric propulsion to reduce CO 2 emissions 5 . ...

A “greenhouse gas balance” for aviation in line with the Paris Agreement

Wiley interdisciplinary reviews: Climate Change

... Indicators may be characteristics of regions, countries, or populations, and require choices about how they are reflected. Selecting appropriate indicators necessitates navigating debates within the literature, such as the selection of gases to consider, the accounting approach for distinct gases, the time period over which indicators are considered and the role and allocation of specific sectoral emissions sources and sinks (Steininger et al 2014, Dhakal et al 2022, Meinshausen and Nicholls 2022, Matthews et al 2023. The application of indicators may also require their transformation to a suitable (inverse) range for allocation, requiring another set of value judgements. ...

Emissions Trends and Drivers Supplementary Material

... CORDEX aims to create a robust framework for producing climate projections at a regional scale that is suitable for impact evaluation and adaptation planning globally. This effort aligns with the timeline of the Intergovernmental Panel on Climate Change's Sixth Assessment Report (Kikstra et al., 2022). However, most CORDEX research focuses on highly industrialised countries (IPCC, 2021;Taylor et al., 2012). ...

The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

... that of any other 50-year period in the past 2000 years (Nicholls et al., 2022;Schenuit, 2023). Climate warming directly affects temperature extremes and has increased the frequency and intensity of extreme events such as high temperatures, cold waves, droughts, heavy rainfall, floods, and wildfires, especially in sensitive and vulnerable regions (Ayugi et al., 2023;Coronato et al., 2024;Singh et al., 2023;Wu et al., 2023a). ...

Changes in IPCC Scenario Assessment Emulators Between SR1.5 and AR6 Unraveled

... FaIR is an open-source, simple and computationally fast climate emulator of full-complexity ESMs. FaIR is one of the models used in the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6) Working Group WGI and WGIII reports (IPCC, 2021;IPCC, 2022;Kikstra et al., 2022). The model consists of a simplified representation of the global carbon cycle coupled with a climate response model with two ocean layers (Millar et al., 2017;Smith et al., 2018). ...

The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures

... This process eliminates the underlying global mean temperature rise and geographical patterns associated with global warming. To ensure consistent weighting near the endpoints where the 10-year mean cannot be fully computed due to insufficient data, the data points are mirrored (Samset et al., 2022). ...

Earlier emergence of a temperature response to mitigation by filtering annual variability

... Severe effects include increased droughts, floods, and storms, disrupting millions of lives. Human activities, especially greenhouse gas emissions, are the primary cause ( Arias et al., 2021;Trenberth, 2011 ). The burning of fossil fuels like coal and oil has dramatically increased atmospheric CO 2 ( Kweku et al., 2018 ). ...

Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change; Technical Summary