Articles | Volume 28, issue 3
https://doi.org/10.5194/npg-28-329-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-28-329-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging
independent researcher: London, UK
Giuliana Barbato
Euro-Mediterranean Center on Climate Change (CMCC) Foundation, Via
Augusto Imperatore, 16, 73100, Lecce, Italy
Paola Mercogliano
Euro-Mediterranean Center on Climate Change (CMCC) Foundation, Via
Augusto Imperatore, 16, 73100, Lecce, Italy
Jaroslav Mysiak
Euro-Mediterranean Center on Climate Change (CMCC) Foundation, Via
Augusto Imperatore, 16, 73100, Lecce, Italy
Maximiliano Sassi
Risk Management Solutions Ltd, EC3R 7AG, London, UK
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We investigate how to make statistical predictions of extreme weather such that events predicted to occur with a probability of 1 % will occur 1 % of the time. We apply the methods we describe to a standard extreme weather attribution example from the recent climate literature. We find that the methods we describe imply that extremes are roughly twice as likely as when estimated using maximum likelihood. We have developed a software package to make it easy to apply these methods.
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It may be possible to make climate model projections more precise using spatial smoothing. We introduce a new spatial smoothing method that differs from previously used methods in that it varies the amount of smoothing by location. For the European rainfall projections we apply the method to, we show that the new method is three times more effective than standard smoothing methods. This improved precision may benefit applications of climate model projections.
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This preprint is open for discussion and under review for Geoscience Communication (GC).
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Natural hazards like floods, earthquakes, and landslides are often interconnected which may create bigger problems than when they occur alone. We studied expert discussions from an international conference to understand how scientists and policymakers can better prepare for these multi-hazards and use new technologies to protect its communities while contributing to dialogues about future international agreements beyond the Sendai Framework and supporting global sustainability goals.
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The present paper reports a detailed analysis of the observed and expected climate conditions over the Campania Region. Campania, as part of the Mediterranean area, is already testing relevant impacts related to climate change.
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Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
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The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
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Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2022-7, https://doi.org/10.5194/npg-2022-7, 2022
Publication in NPG not foreseen
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It may be possible to make climate model projections more precise using spatial smoothing. We introduce a new spatial smoothing method that differs from previously used methods in that it varies the amount of smoothing by location. For the European rainfall projections we apply the method to, we show that the new method is three times more effective than standard smoothing methods. This improved precision may benefit applications of climate model projections.
Mattia Amadio, Arthur H. Essenfelder, Stefano Bagli, Sepehr Marzi, Paolo Mazzoli, Jaroslav Mysiak, and Stephen Roberts
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We estimate the risk associated with storm surge events at two case study locations along the North Adriatic Italian coast, considering sea level rise up to the year 2100, and perform a cost–benefit analysis of planned or proposed coastal renovation projects. The study uses nearshore hydrodynamic modelling. Our findings represent a useful indication for disaster risk management, helping to understand the importance of investing in adaptation and estimating the economic return on investments.
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Short summary
Climate model simulations are uncertain. In some cases this makes it difficult to know how to use them. Significance testing is often used to deal with this issue but has various shortcomings. We describe two alternative ways to manage uncertainty in climate model simulations that avoid these shortcomings. We test them on simulations of future rainfall over Europe and show they produce more accurate projections than either using unadjusted climate model output or statistical testing.
Climate model simulations are uncertain. In some cases this makes it difficult to know how to...