ArticlePDF Available
1
Early Online Release: This preliminary version has been accepted for publication in
Bulletin of the American Meteorological Society, may be fully cited, and has been
assigned DOI 10.1175/BAMS-D-24-0138.1. The nal typeset copyedited article will
replace the EOR at the above DOI when it is published.
© 2024 American Meteorological Society. This is an Author Accepted Manuscript
distributed under the terms of the default AMS reuse license. For information
regarding reuse and general copyright information, consult the AMS Copyright Policy
(www.ametsoc.org/PUBSReuseLicenses).
Meeting Summary
Title: How to engage and adapt to unprecedented extremes
Authors: Dominic Matte1*, Jens H. Christensen2, Martin Drews3, Stefan Sobolowski11,
Dominique Paquin1, Amanda Lynch14, Scott Bremer11, Ida Engholm13, Nicolas D. Brunet 9, Erik
W. Kolstad10, Helena Kettleborough12, Vikki Thompson5, Emanuele Bevacqua6, Dorothy
Heinrich7, Sara C Pryor4, Andrea Böhnisch15, Frauke Feser16, Andreas F Prein17, Erich Fischer8 ,
Martin Leduc1
*Corresponding author: matte.dominic@ouranos.ca
Affiliations:
1 Ouranos, Montréal, Québec, Canada
2 PICE, Niels Bohr Institue, University of Copenhagen, Denmark
3 Technical University of Denmark, Kgs, Lyngby, Denmark,
4 Department of Earth and Atmospheric Sciences, Cornell University, Ithaca NY, USA
5 Royal Netherlands Meteorological Institute, De Bilt, Netherlands.
6 Department of Compound Environmental Risks, Helmholtz Centre for Environmental
Research UFZ, Leipzig, Germany
7. Red Cross Red Crescent Climate Centre, the Hague, Netherlands.
8 Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
9 School of Environmental Design and Rural Development, University of Guelph, Guelph,
Canada
10 NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway
11. University of Bergen, Bergen, Norway
12. Manchester Metropolitan University, Manchester, UK
13. Royal Danish Academy, Copenhagen, Denmark
14. Institute at Brown for Environment and Society, Brown University, Providence, US
15 Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany
16 Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
17 NSF National Center for Atmospheric Research, Boulder, Colorado, US
What: Facing the urgent challenge of extreme weather and climate related events, our societal
frameworks for 'resilience' and 'adaptation' are proving to be insufficient. This paper introduces
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
2
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
the "Exploring Unprecedented Extremes" workshop, which was convened to elucidate the
research gap in light of such challenges. The workshop tackled a broad spectrum of issues,
ranging from assessing out-of-sample climatic events that defy traditional modeling approaches
to enhancing the communication of risks and likelihoods associated with such unprecedented
events.
When: November 21-23, 2023
Where: Ouranos, Montréal, Canada
Form: Hybrid
Sponsors: Québec-Nordic Council of Ministers cooperation
Motivations
“We cannot confront what we cannot imagine. -Amanda Lynch, November 2023-
Evolution of the global climate system means that regional and local events that were previously
considered record-breaking very rare singular (one parameter) or compound events are becoming
more frequent. While some of these events are present in the historical record and thus the
change can be ascribed to a reduction in return period, others were unprecedented or even
inconceivable in the observational record. The latter are challenging to predict and represent a
break from accumulated, inductive wisdom. In many cases, these occurrences and their impacts
are truly unprecedented (many sigmas out of range in a statistical sense (Thompson et al., 2023;
Zeder et al., 2023)), pushing the boundaries of our imagination and our communication
strategies, while also prompting us to reconsider if “climate change adaptation” and “increased
resilience” are enough to handle the future . Rather, they suggest a complete transformation in
adaptation governance, how populations operate under and engage with scientific, social,
cultural, political, educational, and economic structures for addressing climate related extremes
(O’Brien 2012).
With ongoing climate warming and increasing population in areas with low resiliency and high
socioeconomic exposure, the potential for more severe events is concerning as disasters are a
product of event intensity, exposure, vulnerability and adaptative capacity. Insufficient or
maladapted preparedness may result in breakdowns within specific sectors or even contribute to
societal instability. Effective planning for these types of events involves multiple factors, with
the initial challenge lying in forming expectations or integrating such extremes i into our
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
3
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
planning and adaption strategies a task complicated by events that fall far outside our lived
experience. Anticipating changes in single and compound extremes of unprecedented intensities
demands transformational societal changes. It means critically reviewing and connecting the
diverse ‘ways of knowing’ and acting around extreme events, how communities prepare,
respond, and recover. Relying solely on climate sciences may prove insufficient for anticipating
impactful events and their consequences; embracing co-production approaches that involve an
inter- or trans-disciplinary perspective widens the potential to foresee such occurrences. More
specifically, we have to begin identifying (or developing storylines/scenarios of) what a black
swan may look like, to prepare adequately for the future record-shattering events suggested
plausible by climate science. Scientifically, inspecting unprecedented events may fall beyond the
scope of our standard problem-solving and statistical methods. Exploring alternative strategies
hence becomes necessary.
Novel situations such as unprecedented climate hazards have been illustrated by recent extreme
events. For example, Tropical Cyclone Freddy in 2023 set records for duration and energy across
the Indian Ocean and became the third-deadliest cyclone in the Southern Hemisphere. Cape
Town faced a rare one-in-400 year drought between 2015 and 2018, nearly depleting its water
supply. In 2017, a massive landslide instigated by permafrost degradation in West Greenland
triggered an enormous and deadly tsunami in Nuugaatsiaq. The 2021 floods in Germany and
wildfires in Europe and North America in recent years highlight the reality of such extreme
events in assumed well-prepared regions, underscoring the global challenge of adapting to
unexpected climate threats. Additionally, the marine heatwaves of 2023, the record-breaking
global ocean temperatures of the past year (365 days and counting!) alongside the Pacific
Northwest heatwave of 2021 (~50 °C at 50 degrees North!), further emphasize the urgency of
addressing these challenges. Importantly, climate change may surprise us with unprecedented
events resulting from novel combinations of multiple hazards, for instance hazards from tropical
cyclonedeadly heat compound hazards have emerged in the last decades (Matthews et al.,
2019). Weather events can be unprecedented across multiple dimensions (e.g. intensity, spatial
extent, occurrence of antecedent conditions etc.), all of which have significantly different
implications for preparedness (Heinrich et al.2024 - under review).
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
4
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
As a first tentative step to developing a community of practice, an international workshop
entitled "Exploring Unprecedented Extremes" was convened in November 2023, held by
Ouranos in Montreal as a hybrid event with both physical attendees and online participation. This
event brought together experts from diverse fields to deliberate on innovative approaches to
climate change adaptation and mitigation. Emphasizing co-creation and interdisciplinary
collaboration, the workshop addressed key themes such as the integration of various sectors into
climate change strategies, the complexities of decision-making under uncertainty, and the crucial
role of transdisciplinary research in comprehensively understanding and effectively responding to
climate extremes through sessions with predetermined orientations. The event raised the need for
transformational learning to enable communities, NGOs and research institutions to respond
hopefully rather than being overwhelmed by the scale of the challenges (Kettleborough, 2023).
Participants with expertise in risk governance and foresight research, including research into the
use of imagination and storytelling, along with climate modelers and analysts comprised the
participants. The following sections provide an overview of the different topics addressed during
the sessions.
Uncharted horizons
At the complex interface between climate science and policymaking, the interpretation and
application of climate data plays a critical role in shaping effective responses to climate change.
It can be challenging to grasp the nuances between terms like 'unprecedented' and 'extremes',
highlighting a fundamental divide between the realms of scientific research and decision-making.
Scientists focus on empirical or simulated data to identify climatic anomalies, often dealing with
data that, by nature, possess varying but quantifiable degrees of confidence. On the other hand,
decision-makers interpret these terms through the tangible impacts of disasters, emphasizing
socio-economic, human, and environmental concerns but with a high robustness to uncertainty.
The challenge lies in effectively bridging the gap between the scientific and decision-making
communities when it comes to understanding terms like 'unprecedented' and 'extremes.' This
highlights a crucial communication challenge: the scientific community must find effective ways
to convey the complexities and uncertainties of climate data, ensuring that it is both
comprehensive and practical for policy and decision-making processes.
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
5
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
One aspect of this governance partnership is communication. The content of the communication
is entirely dependent on the receiver, sender, and the message that is to be delivered (Ingemann,
2003). Communicating extremes has some severity to it that can stress the urgency or extreme
consequences of climate change. It can be seen as less politically relevant, since the likelihood is
lower and uncertainty higher, which doesn’t speak to the policymakers demands (Garvin, 2011),
but it relates to a true story present in the public memory and therefore of relevance to the
public (van der Wiel et al., 2021; Zscheischler et al., 2018; 2022; Bevacqua et al., 2021,
Shepherd et al., 2018). Communicating extremes in an understandable and engaging manner is
clearly an active choice to stress the importance of knowledge and action on the current climate
change progression.
For example, storytelling and the use of interactive polls and media can serve as effective tools
for conveying information to meet the demands for a focus on consequences and guidance from
entities such as municipalities. As an example of meteorological institutes employing this
approach, some countries are using story maps to communicate climate change through user-
friendly platforms with interactive visuals (Belfast Storymaps 2022; Netherland Map Narratives
2023, imaginative story: https://unseenheat.com/).
Co-production
In the realm of co-production, knowledge about out-of-sample events does not necessarily equate
to understanding extreme impacts from such events. Extremes must be contextualized with
changing contexts and vulnerabilities. Stakeholder engagement has emerged as a central element
in planning and policy development processes addressing climate change adaptation responses. It
has been widely applied in case studies around the world (e.g. Brunner et al. 2004; Brunet et al.
2014; Alcamo 2008; Tompkins et al. 2008; Brunner and Lynch 2010; Cairns et al. 2013) and is a
proven approach to effecting adaptive governance. Conclusions drawn from these studies point
towards the shortcomings of using isolated workshops and argue for a more continuous
knowledge-rich stakeholder engagement process. Yet the structural and continuous engagement
of a broad set of decision-makers to support the establishment of sustained learning communities
of practice has rarely been pursued (Kasemir et al. 2003). With the "Exploring Unprecedented
Extremes" workshop, one aspiration was to involve scholars accustomed to this agenda in
recognizing the necessity of asking: What kinds of extremes might require a paradigm shift from
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
6
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
the building of resilience to transformation? Are these extremes influenced by climate change
alone or are they dominated by other factors? What can we learn about adaptation and/or
transformation (O'Brien, 2012 ; Pelling et al., 2015) across different physical settings and
events?
Co-production is usually applied to a transdisciplinary bringing-together of diverse ways of
knowing, both within the formal scientific academy, and extending to other knowledge systems
in other social worlds; from local and traditional knowledges to crafts and professions(Scott
1998). It is justified as a way of building more comprehensive understandings of phenomena -
like extremes - as well as a normatively good way of engaging with affected parties, and
instrumentally empowering groups to put actionable knowledge to use. But what counts as
knowledge - its norms and criteria of quality, its methods and means of communication - varies
widely across social contexts, and can be opaque to 'outsiders'. Connecting these different worlds
demands a transparent process of dialogue wherein participants critically engage with their own
and other ways of knowing (Daly, 2021). When carried out thoughtfully and ethically such
processes take time and cannot be rushed, demanding that trust between collaborators is built
over time (Brunet et al. 2014). Speeding this process up may be achieved based on working with
'trusted partners' - that is the idea of using existing professional networks for the onward
communication/dissemination. Hence when concluding a project they become the mechanism for
disseminating the results and also feeding back questions to the science community being useful
to scope future studies. This is a challenge to many research agendas driven by the timelines of
funding schemes and to some individuals that may not always fully appreciate the complexity of
establishing trust, when this involves elements from an entirely different approach towards
knowledge generating the cognitive element of the entire exercise. Here the notion of extended
ways of knowing (Heron, 1996) offers direction in how such trust might be achieved. Disciplines
such as co-operative inquiry from action research offer methodologies to help (Kurio and
Reason, 2021).
State-of-the-art extremes modeling approaches and gaps
Typically, there is a prevailing assumption that our existing understanding of the current climate
state can be extrapolated to the future. Unexpected out-of-sample events raise several crucial yet
challenging questions, including: Could this event have been predicted using the available
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
7
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
climate data? Could this event have been even more severe? How long until we surpass these
records? And ultimately, do our existing approaches enable us to accurately model and
apprehend such events? These questions prompt a more fundamental scientific question, namely
What tools are 'best suited' to possibly evolving evidence for unprecedented extremes? And
related to this: Can we evolve ways to evaluate the credibility of 'black swans' that derive from
different tools?
In the last decade, several approaches have been developed and some of these were discussed
during the workshop. Research into climate and weather phenomena has primarily progressed
along two main paths: statistical and physically based approaches. The statistical approach has
focused on developing methodologies for analyzing the likelihood of extreme events. This
involves examining occurrences characterized by their exceptionally high values, thus their
notable rarity.
As computing resources have expanded, there has been a surge in the number of physical
approaches to studying climate change, with the pseudo-global warming (PGW) method
emerging as both popular and accessible. Initially introduced by Schär et al. (1996), this
approach investigates how past weather situations might have behaved under future or
preindustrial climate conditions, akin to anticipated climate changes (Aalbers et al., 2023;
Hawkins et al., 2023). This method has several limitations (inaccuracies in future atmospheric
dynamics representations (Rasmussen, 2011; Zhou et al., 2023) and distortions from anomalies
in lateral boundary conditions (Matte et al., 2022))
Recent advances have enabled research centers with global models to enhance the study of
extreme weather events, including compound events like hot-dry summers (Bevacqua et al.,
2023), through large ensembles (Deser et al., 2014), creating diverse climate trajectories by
slightly changing initial conditions. Using such ensembles of initialised climate models, it can be
assumed that extreme events identified are physically plausible providing biases in the model
itself are assessed and understood (Thompson et al., 2017; Kelder et al., 2022). Still, large
ensembles often suffer from low spatial model grid spacing to reduce computing costs, nor does
this approach guarantee to fully scoping out what is “possible”. This limits the accuracy of
extreme event simulations and makes specific event detection challenging, further complicated
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
8
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
by discrepancies between simulated and actual events. To mitigate this shortcoming, regional
large ensemble simulations have emerged in recent years (Fyfe et al., 2017; Aalbers et al., 2018;
Leduc et al., 2019, von Trentini et al., 2019; Tucker et al., 2022).
A novel method (Ensemble Boosting, see Fischer et al., 2023) presented at the workshop uses the
initial condition uncertainty in order to efficiently sample very rare extremes, assessing if short-
term natural variability could have made an event more severe. Re-initiating simulations before a
model event using perturbed initial states allows exploring worst-case scenarios. A small change
in the initial state, in a similar manner to the ‘butterfly flaps its wings’ analogy, enables the
model to evolve differently, sometimes leading to a more extreme event. An event which could
have occurred, given the initial climate state.
In addition to the methods discussed, some researchers have utilized kilometer-scale modeling.
However, the main challenge with these high-resolution convective-permitting models (CPM, see
Prein et al., 2015) lies in their significant computational requirements, confining their use to a
few well-resourced climate research centers. However, innovative methods such as storyline
simulations (Kawase et al. 2021, van Garderen at al., 2021) or downscaling of extreme weather
situations from large ensembles with km-scale models (Huang and Swain 2022) emerge as
promising pathways forward.
A call for future work in research and practice
The compelling drive behind efforts to explore unprecedented climate extremes is shaped by the
urgent necessity for a profound transformation in our societal, cultural, political, and economic
frameworks in response to the escalating frequency and severity of extremes that are unexpected
and out-of-sample. The traditional concepts of "resilience" and "adaptation," while valuable, may
not be adequate to meet the complex challenges posed by these phenomena. This realization
underscores the importance of innovative thinking and the adoption of transdisciplinary
approaches to effectively anticipate and mitigate the impacts of such events.
The motivation for the "Exploring Unprecedented Extremes" workshop was deeply rooted in the
recognition that to effectively prepare for and address the irreducible uncertainties of climate
extremes, a shift in perspective is essential. This includes moving beyond conventional
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
9
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
resilience-building efforts towards embracing comprehensive strategies for societal and
scientific transformation. The workshop will serve as a foundation for examining how
extremes, influenced by ongoing climate change, necessitate a reevaluation of our approaches to
adaptation and the identification of strategies that can foster transformation across various
physical settings and events. The format and ideas of the workshop could be replicated in
different countries around the world, bringing together, for example, scientists, NGOs,
communities and governments both local and national.
The workshop enabled the establishment of foundational guidelines for various types of climate-
related extremes. The first category refers to record-breaking events, which are theoretically
anticipated meteorological/climatological extreme occurrences. These events fall within our
existing understanding of physical and statistical norms, meaning they are confined to the bounds
of recognized natural variability. The second category, out of sample events, encompasses events
that fall outside both the observational record and previous experience, and can only be
adequately researched retrospectively.
The third category consists of conceptualized extreme events, which stretch the limits of what
could potentially occur within the constraints of scientific knowledge and stakeholder insights.
These unknown events are initially conceptualized in collaboration with stakeholders, for
instance, by identifying thresholds that might signify a critical breakpoint in their respective
sectors. Following this, these scenarios undergo analysis to evaluate their probability and
physical feasibility, distinguishing them from the observed out of sample events as they are
constructed events reflecting our current state of resilience.
The fourth category are observed high-impact events (from the physical climate and/or impact
side) which represent disasters of a more intricate nature, arising not solely from record-breaking
or out-of-sample events (though they may also originate from these) but significantly influenced
by societal factors (Bouchard et al., 2023). To effectively analyze such events, reliance on
physical sciences alone falls short. Only through a transdisciplinary approach can these events be
fully understood, processed, and potentially guide the development of suitable plans for
adaptation or transformation.
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
10
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
The fifth category represents a complexity of a higher order: it is both unlikely and yet unseen,
lying outside the realm of our current imagination. Similar to the fourth category, this requires a
transdisciplinary approach. However, the difficulty is in predicting meteorological or climatic
events that are outside our current understanding but still have a non-zero probability of
occurrence. When these events interact with evolving societal conditions, they could trigger
unexpected collapses in various societal sectors, leaving us completely unprepared.
The workshop demonstrated some limitations of current approaches. Ultimately, it also became
evident that the scientific community focused on climate issues which make it difficult to get rid
of the myth of the knowledge deficit model (Lemos et al., 2012; Bradley et al. 2020). This model
presumes that public skepticism or resistance towards scientific discoveries and technological
advancements stems chiefly from a shortfall in knowledge or comprehension. Within this
framework, the concept of co-production away from the largely discredited knowledge deficit
model should be a core element in research on climate-related extremes. The workshop
underlined the urgency of the tasks facing society and the crucial importance of helping
individuals, communities and organizations understand that wise action is needed now.
Acknowledgments
The event was funded via a bilateral Québec-Nordic Council of Ministers cooperation. The NSF
National Center for Atmospheric Research (NCAR) is a major facility sponsored by the National
Science Foundation (NSF) under Cooperative Agreement #1852977. Emanuele Bevacqua
received funding from the DFG via the Emmy Noether Programme (grant ID 524780515). N.D.
Brunet’s participation was supported by NFRFR Grant 2021-00221.
References
Alcamo, J (2008). Environmental Futures: The Practice of Environmental Scenario Analysis.
Elsevier, Amsterdam.
Aalbers, E. E., Van Meijgaard, E., Lenderink, G., De Vries, H., & Van Den Hurk, B. J. (2023).
The 2018 west-central European drought projected in a warmer climate: how much drier can it
get?. Natural Hazards and Earth System Sciences, 23(5), 1921-1946.
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
11
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
Aalbers, E. E., G. Lenderink, E. van Meijgaard, and B. J. J. M. van den Hurk, 2018: Local-scale
changes in mean and heavy precipitation in western Europe, climate change or internal
variability? Climate Dyn., 50, 47454766, https://doi.org/10.1007/s00382-017-3901-9.
Bevacqua, E., Suarez-Gutierrez, L., Jézéquel, A., Lehner, F., Vrac, M., Yiou, P., & Zscheischler,
J. (2023). Advancing research on compound weather and climate events via large ensemble
model simulations. Nature Communications, 14(1), 2145.
Bouchard, J. P., Pretorius, T. B., Kramers-Olen, A. L., Padmanabhanunni, A., & Stiegler, N.
(2023, March). Global warming and psychotraumatology of natural disasters: The case of the
deadly rains and floods of April 2022 in South Africa. In Annales Médico-psychologiques, revue
psychiatrique (Vol. 181, No. 3, pp. 234-239). Elsevier Masson.
Bradley, G.L., Babutsidze, Z., Chai, A. and Reser, J.P., 2020. The role of climate change risk
perception, response efficacy, and psychological adaptation in pro-environmental behavior: A
two nation study. Journal of Environmental Psychology, 68, p.101410.
Brunet, N. D., Hickey, G. M., & Humphries, M. M. (2014). Understanding community-
researcher partnerships in the natural sciences: A case study from the Arctic. Journal of Rural
Studies, 36, 247-261.
Brunner, R.D., A.H. Lynch, J. Pardikes, E.N. Cassano, L. Lestak and J. Vogel, 2004: An Arctic
Disaster and its Policy Implications. Arctic, 57, 336-346.
Brunner, R.D. and A.H. Lynch, 2010: Adaptive Governance and Climate Change. (AMS Press
and University of Chicago Press) ISBN: 9781878220974, 424 pp.
Cairns, G., Ahmed, I., Mullett, J., & Wright, G. (2013). Scenario method and stakeholder
engagement: Critical reflections on a climate change scenarios case study. Technological
Forecasting & Social Change, 80(1): 1-10.
Daly, M. Unfulfilled promise of better decisions. Nat. Clim. Chang.11, 721722 (2021).
Deser, C., A. S. Phillips, M. A. Alexander, and B. V. Smoliak, 2014: Projecting North American
climate over the next 50 years: Uncertainty due to internal variability. J. Climate, 27, 22712296,
https://doi.org/10.1175/JCLI-D-13-00451.1.
Ehmele, F., Kautz, L. A., Feldmann, H., & Pinto, J. G. (2020). Long-term variance of heavy
precipitation across central Europe using a large ensemble of regional climate model simulations.
Earth System Dynamics, 11(2), 469-490.
Fischer, E.M., Beyerle, U., Bloin-Wibe, L. et al. (2023). Storylines for unprecedented heatwaves
based on ensemble boosting. Nature Communications 14.1 (2023): 4643.
Fyfe, J., Derksen, C., Mudryk, L. et al. Large near-term projected snowpack loss over the
western United States. Nat Commun 8, 14996 (2017). https://doi.org/10.1038/ncomms14996
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
12
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
Hastrup, K., & Skrydstrup, M. (Eds.). (2012). The social life of climate change models:
anticipating nature. Routledge.
Hawkins, E., Compo, G. P., & Sardeshmukh, P. D. (2023). ESD Ideas: Translating historical
extreme weather events into a warmer world. Earth System Dynamics, 14(5), 1081-1084
Heron, J. (1996) Co-operative Inquiry: Research into the Human Condition. London: Sage.
Huang, X., & Swain, D. L. (2022). Climate change is increasing the risk of a California
megaflood. Science advances, 8(31), eabq0995.
Kawase, H., Yamaguchi, M., Imada, Y., Hayashi, S., Murata, A., Nakaegawa, T., ... & Takayabu,
I. (2021). Enhancement of extremely heavy precipitation induced by Typhoon Hagibis (2019)
due to historical warming. SOLA, 17A-002.
Kasemir, B, Gardner, M, Jäger, J & Jaeger, CC (eds.) (2003). Public Participation in
Sustainability Science. Cambridge University Press, Cambridge.
Kelder, T., Wanders, N., van der Wiel, K., Marjoribanks, T. I., Slater, L. J., l Wilby, R., &
Prudhomme, C. (2022). Interpreting extreme climate impacts from large ensemble simulations
are they unseen or unrealistic?. Environmental Research Letters, 17(4), 044052.
Kettleborough, H. (2023) Journey to a Hopeful Futures: A Handbook. Manchester: Centre for
Connected Practice
Leduc, M., Mailhot, A., Frigon, A., Martel, J. L., Ludwig, R., Brietzke, G. B., ... & Scinocca, J.
(2019). The ClimEx project: A 50-member ensemble of climate change projections at 12-km
resolution over Europe and northeastern North America with the Canadian Regional Climate
Model (CRCM5). Journal of Applied Meteorology and Climatology, 58(4), 663-693.
Lemos, M. C., Kirchhoff, C. J., & Ramprasad, V. (2012). Narrowing the climate information
usability gap. Nature climate change, 2(11), 789-794.
Matte, D., Christensen, J. H., Feddersen, H., Vedel, H., Nielsen, N. W., Pedersen, R. A., &
Zeitzen, R. M. (2022). On the Potentials and Limitations of Attributing a Small‐Scale Climate
Event." Geophys. Res. Lett, 49.16: e2022GL099481
Matthews, T., Wilby, R. L., & Murphy, C. (2019). An emerging tropical cyclonedeadly heat
compound hazard. Nature Climate Change, 9(8), 602-606.
O’Brien K (2012) Global environmental change: from adaptation to deliberate transformation.
Prog Hum Geogr 36(5):667676
Pelling, M., O’Brien, K. & Matyas, D. Adaptation and transformation. Climatic Change 133,
113127 (2015). https://doi.org/10.1007/s10584-014-1303-0
Prein, Andreas F., et al. "A review on regional convection‐permitting climate modeling:
Demonstrations, prospects, and challenges." Reviews of geophysics 53.2 (2015): 323-361.
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
13
Accepted for publication in Bulletin of the American Meteorological Society. DOI 10.1175/BAMS-D-24-0138.1.
Schär, Christoph, et al. "Surrogate climate‐change scenarios for regional climate models."
Geophysical Research Letters 23.6 (1996): 669-672
Scott, James C., 1998: Seeing Like a State: How Certain Schemes to Improve the Human
Condition Have Failed. Yale University Press, 464 pp.
Rasmussen, Roy, et al. "High-resolution coupled climate runoff simulations of seasonal snowfall
over Colorado: a process study of current and warmer climate." Journal of Climate 24.12 (2011):
3015-3048.
Sadowsky, H. C., Brunet, N., Anaviapik, A., Kublu, A., Longboat, S., & Henri, D. A. (2024). A
typology of Inuit youth engagement in environmental research. Arctic Science.
Thompson, V., Mitchell, D., Hegerl, G. C., Collins, M., Leach, N. J., & Slingo, J. M. (2023). The
most at-risk regions in the world for high-impact heatwaves. Nature Communications, 14(1),
2152.
Thompson, V., Dunstone, N. J., Scaife, A. A., Smith, D. M., Slingo, J. M., Brown, S., & Belcher,
S. E. (2017). High risk of unprecedented UK rainfall in the current climate. Nature
communications, 8(1), 1-6.
Tompkins et al. (2008). Scenario-based stakeholder engagement: Incorporating stakeholders
preferences into coastal planning for climate change. Journal of Environmental Management,
88(2008): 1580-1592
Tucker, S.O., Kendon, E.J., Bellouin, N. et al. Evaluation of a new 12 km regional perturbed
parameter ensemble over Europe. Clim Dyn 58, 879903 (2022). https://doi.org/10.1007/s00382-
021-05941-3
van Garderen, L., Feser, F., Shepherd, T. G. (2021). A Methodology for Attributing the Role of
Climate Change in Extreme Events: A Global Spectrally Nudged Storyline. Natural Hazards and
Earth System Sciences, 21, 171-186, 2021, https://doi.org/10.5194/nhess-21-171-2021.
von Trentini, F., Aalbers, E. E., Fischer, E. M., & Ludwig, R. (2019). Comparing internal
variabilities in three regional single model initial-condition large ensembles (SMILE) over
Europe. Earth System Dynamics Discussions, 2019, 1-27.
Zeder, J., Sippel, S., Pasche, O. C., Engelke, S., & Fischer, E. M. (2023). The effect of a short
observational record on the statistics of temperature extremes. Geophys. Res. Lett., 50(16),
e2023GL104090.
Zhou X., Letson F., Coburn J.J., Barthelmie R.J. and Pryor S.C. (2023): Windstorms in the
Northeastern USA in the Contemporary and Future Climate. Climate Dynamics 62 2107-2128
doi: 10.1007/s00382-023-07012-1
Unauthenticated | Downloaded 06/11/24 06:47 PM UTC
Article
Full-text available
We see unprecedented weather causing widespread impacts across the world. In this perspective, we provide an overview of methods that help anticipate unprecedented weather hazards that can contribute to stop being surprised. We then discuss disaster management and climate adaptation practices, their gaps, and how the methods to anticipate unprecedented weather may help build resilience. We stimulate thinking about transformative adaptation as a foundation for long-term resilience to unprecedented weather, supported by incremental adaptation through upgrading existing infrastructure, and reactive adaptation through short-term early action and disaster response. Because in the end, we should take responsibility to build resilience rather than being surprised by unprecedented weather.
Preprint
Full-text available
The 2021 drought highlighted the vulnerability of Quebec's water resources and the potential for widespread consequences in a region that is generally perceived as having abundant water. This study uses a storyline approach to explore the plausible impacts of future drought conditions for an event similar to what occurred in 2021, but under two different warming scenarios corresponding to increases of 2 °C and 3 °C in global surface temperatures compared to preindustrial levels. The approach employs analogues derived from a large ensemble of regional climate simulations combined with simulations generated by a hydrological model to offer a comprehensive understanding of both climate and hydrological conditions during, and leading up to, these potential future events. This approach allowed for enhanced collaboration with water management experts and other stakeholders to project the possible impacts of climate change on serious water deficits in Quebec. Results indicate a further deterioration in river conditions, particularly under a +3 °C global temperature rise. In the hardest-hit areas of the province under that scenario, future low-water levels persist for a month longer and river streamflows drop by an additional 50 %, thus falling short of the threshold required to maintain the health of ecosystems for an extended period of time and suggesting significant impacts on ecosystems and human activities. This study also highlights the need for improved systematic data collection during meteorological and hydrological droughts in Quebec, particularly with respect to their impacts on human activities and ecosystems.
Article
Full-text available
Projections of changes in extreme droughts under future climate conditions are associated with large uncertainties, owing to the complex genesis of droughts and large model uncertainty in the atmospheric dynamics. In this study we investigate the impact of global warming on soil moisture drought severity in west-central Europe by employing pseudo global warming (PGW) experiments, which project the 1980–2020 period in a globally warmer world. The future analogues of present-day drought episodes allow for investigation of changes in drought severity conditional on the historic day-to-day evolution of the atmospheric circulation. The 2018 west-central European drought is the most severe drought in the 1980–2020 reference period in this region. Under 1.5, 2 and 3 ∘C global warming, this drought episode experiences strongly enhanced summer temperatures but a fairly modest soil moisture drying response compared to the change in climatology. This is primarily because evaporation is already strongly moisture-constrained during present-day conditions, limiting the increase in evaporation and thus the modulation of the temperature response under PGW. Increasing precipitation in winter, spring and autumn limits or prevents an earlier drought onset and duration. Nevertheless, the drought severity, defined as the cumulative soil moisture deficit volume, increases considerably, with 20 % to 39 % under 2 ∘C warming. The extreme drought frequency in the 1980–2020 period strongly increases under 2 ∘C warming. Several years without noticeable droughts under present-day conditions show very strong drying and warming. This results in an increase in 2003-like drought occurrences, compounding with local summer temperature increases considerably above 2 ∘C. Even without taking into account a (potentially large) dynamical response to climate change, drought risk in west-central Europe is strongly enhanced under global warming. Owing to increases in drought frequency, severity and compounding heat, a reduction in recovery times between drought episodes is expected to occur. Our physical climate storyline provides evidence complementing conventional large-ensemble approaches and is intended to contribute to the formulation of effective adaptation strategies.
Article
Full-text available
The roles of Indigenous youth in environmental research remain largely unexplored with little practical guidance for achieving meaningful engagement in environmental research. This paper aims to characterize the varying types of Inuit youth engagement in environmental research conducted in Inuit Nunangat. Findings were derived from a community-engaged participatory research approach in Mittimatalik (Pond Inlet, Nunavut). Our typology of Inuit youth engagement in environmental research suggests three types of engagements: “participate”, “conduct”, and “control”. Results highlight that Inuit youth who are interested in undertaking their own environmental research projects expect to enhance their knowledge of natural and life sciences more than those who may seek short-term supportive research roles. Strategies employed by researchers seeking to enhance youth research capacity may also vary based on youth wants and expectations. Our findings suggest that there is no one-size-fits all solution. None of the engagement types identified were necessarily and inherently considered better than the others by project contributors, unlike what has been proposed in other, hierarchical, typologies. Our proposed typology contributes to a better understanding of the varying roles that Inuit youth can play in environmental research, as well as inform potential frameworks for enhancing Inuit youth engagement and leadership in research.
Article
Full-text available
Cold-season windstorms represent an important, and potentially changing, geophysical hazard in the Northeastern United States. Here we employ an integrated research methodology including both a storyline approach, where three intense windstorms from the current climate are subjected to pseudo-global warming (PGW) experiments, and a long-term transient simulation using the Weather Research and Forecasting (WRF) model. An ensemble of WRF simulations is built for each windstorm using different planetary boundary layer and microphysical parameterizations. The fidelity assessment suggests all ensemble members capture the windstorm evolution in contemporary climate. The configuration with highest fidelity is used in the PGW experiments performed with perturbed temperature fields, constant relative humidity, and deiced Great Lakes. These perturbation simulations indicate some evidence for a reduction of sea level pressure and increases in wind speed over and downwind of the Great Lakes and over the Atlantic Ocean plus an increase in precipitation accumulation but a reduction in snow coverage. These changes are spatially inhomogeneous in terms of magnitude and sign but are consistent with changes in potential vorticity. Alberta Clippers and Colorado Lows dominate the cyclones responsible for historical windstorms and thus are sampled in the PGW simulations. However, the transient simulation suggests an increasing role for tropical cyclones that undergo transition to extratropical cyclones. This reinforces the value of combining information from both PGW perturbation experiments within a storyline context and transient simulations when seeking to quantify the future risk associated with cold-season windstorms under changing climate.
Article
Full-text available
In June 2021, the Pacific Northwest experienced a heatwave that broke all previous records. Estimated return levels based on observations up to the year before the event suggested that reaching such high temperatures is not possible in today's climate. We here assess the suitability of the prevalent statistical approach by analyzing extreme temperature events in climate model large ensemble and synthetic extreme value data. We demonstrate that the method is subject to biases, as high return levels are generally underestimated and, correspondingly, the return period of low‐likelihood heatwave events is overestimated, if the underlying extreme value distribution is derived from a short historical record. These biases have even increased in recent decades due to the emergence of a pronounced climate change signal. Furthermore, if the analysis is triggered by an extreme event, the implicit selection bias affects the likelihood assessment depending on whether the event is included in the modeling.
Article
Full-text available
Recent temperature extremes have shattered previously observed records, reaching intensities that were inconceivable before the events. Could the possibility of an event with such unprecedented intensity as the 2021 Pacific Northwest heatwave have been foreseen, based on climate model information available before the event? Could the scientific community have quantified its potential intensity based on the current generation of climate models? Here, we demonstrate how an ensemble boosting approach can be used to generate physically plausible storylines of a heatwave hotter than observed in the Pacific Northwest. We also show that heatwaves of much greater intensities than ever observed are possible in other locations like the Greater Chicago and Paris regions. In order to establish confidence in storylines of ‘black swan’-type events, different lines of evidence need to be combined along with process understanding to make this information robust and actionable for stakeholders.
Article
Full-text available
Heatwaves are becoming more frequent under climate change and can lead to thousands of excess deaths. Adaptation to extreme weather events often occurs in response to an event, with communities learning fast following unexpectedly impactful events. Using extreme value statistics, here we show where regional temperature records are statistically likely to be exceeded, and therefore communities might be more at-risk. In 31% of regions examined, the observed daily maximum temperature record is exceptional. Climate models suggest that similar behaviour can occur in any region. In some regions, such as Afghanistan and parts of Central America, this is a particular problem - not only have they the potential for far more extreme heatwaves than experienced, but their population is growing and increasingly exposed because of limited healthcare and energy resources. We urge policy makers in vulnerable regions to consider if heat action plans are sufficient for what might come.
Article
Full-text available
Societally relevant weather impacts typically result from compound events, which are rare combinations of weather and climate drivers. Focussing on four event types arising from different combinations of climate variables across space and time, here we illustrate that robust analyses of compound events — such as frequency and uncertainty analysis under present-day and future conditions, event attribution to climate change, and exploration of low-probability-high-impact events — require data with very large sample size. In particular, the required sample is much larger than that needed for analyses of univariate extremes. We demonstrate that Single Model Initial-condition Large Ensemble (SMILE) simulations from multiple climate models, which provide hundreds to thousands of years of weather conditions, are crucial for advancing our assessments of compound events and constructing robust model projections. Combining SMILEs with an improved physical understanding of compound events will ultimately provide practitioners and stakeholders with the best available information on climate risks.