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Publications (10 of 49) Show all publications
An, D., Olsson, J., Yiheng, D., Sorensen, J., Uvo, C. B. & Berg, P. (2026). Future projections of wet and dry spells in southern Sweden: The impact of climate model resolution. Atmospheric research, 330, Article ID 108547.
Open this publication in new window or tab >>Future projections of wet and dry spells in southern Sweden: The impact of climate model resolution
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2026 (English)In: Atmospheric research, ISSN 0169-8095, E-ISSN 1873-2895, Vol. 330, article id 108547Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6823 (URN)10.1016/j.atmosres.2025.108547 (DOI)001602071500001 ()
Available from: 2025-11-05 Created: 2025-11-05 Last updated: 2025-11-05Bibliographically approved
Yang, W., Olsson, J., Berg, P. & Simonsson, L. (2025). Weather warning archives reveal spatio-temporal hot spots of compound natural hazards. Scientific Reports, 15(1), Article ID 13330.
Open this publication in new window or tab >>Weather warning archives reveal spatio-temporal hot spots of compound natural hazards
2025 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 15, no 1, article id 13330Article in journal (Refereed) Published
Abstract [en]

Individual natural hazards may be combined in different ways, leading to cascading or co-occurring effects, turning them into compound hazards. However, assessment of individual as well as compound hazards is often hampered by short or incomplete observational records of actual hazards, and records of various hazards that do not easily combine. In this study we propose an alternative way to detect potential risk of compound natural hazards via archived severe weather warnings. We investigate weather warnings in Sweden from 2011 to 2020 regarding their distributions and frequencies in time (at daily level) and space (at warning district level) from both an individual and compound perspective. We illustrate the methodology and results by focusing on compound flood-related risk, generated by combinations of heavy rainfall, high streamflow and high sea level, and contextualize with two actual compound flood events in Sweden. We find compound fluvial and coastal flood risk primarily along the southwest coast during the winter half year as well as compound fluvio-pluvial flood risk during the summer half year. The results show that severe weather warnings can be used to assess the frequency and compounding nature of natural hazards, as well as to identify actual cases for further investigation, and we encourage similar investigations elsewhere.

Place, publisher, year, edition, pages
NATURE PORTFOLIO, 2025
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6752 (URN)10.1038/s41598-025-96842-6 (DOI)001470272500011 ()40247027 (PubMedID)
Available from: 2025-05-06 Created: 2025-05-06 Last updated: 2025-06-12Bibliographically approved
Hieronymus, M., Berg, P., Bin Ashraf, F. & Barquet, K. (2024). Compound Flooding in Halmstad: Common Causes, Interannual Variability and the Effects of Climate Change. Tellus. Series A, Dynamic meteorology and oceanography, 76(1), 148-165
Open this publication in new window or tab >>Compound Flooding in Halmstad: Common Causes, Interannual Variability and the Effects of Climate Change
2024 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 76, no 1, p. 148-165Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography; Hydrology
Identifiers
urn:nbn:se:smhi:diva-6642 (URN)10.16993/tellusa.4068 (DOI)001266219700001 ()
Available from: 2024-08-20 Created: 2024-08-20 Last updated: 2025-06-12Bibliographically approved
Berg, P., Bosshard, T., Bozhinova, D., Bärring, L., Löw, J., Nilsson, C., . . . Yang, W. (2024). Robust handling of extremes in quantile mapping - "Murder your darlings". Geoscientific Model Development, 17(22), 8173-8179
Open this publication in new window or tab >>Robust handling of extremes in quantile mapping - "Murder your darlings"
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2024 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 17, no 22, p. 8173-8179Article in journal (Refereed) Published
National Category
Climate Science
Research subject
Hydrology; Climate
Identifiers
urn:nbn:se:smhi:diva-6687 (URN)10.5194/gmd-17-8173-2024 (DOI)001357779300001 ()
Available from: 2024-11-26 Created: 2024-11-26 Last updated: 2025-06-12Bibliographically approved
Klehmet, K., Berg, P., Bozhinova, D., Crochemore, L., Yiheng, D., Pechlivanidis, I., . . . Yang, W. (2024). Robustness of hydrometeorological extremes in surrogated seasonal forecasts. International Journal of Climatology
Open this publication in new window or tab >>Robustness of hydrometeorological extremes in surrogated seasonal forecasts
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2024 (English)In: International Journal of Climatology, ISSN 0899-8418, E-ISSN 1097-0088Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology; Climate; Climate
Identifiers
urn:nbn:se:smhi:diva-6582 (URN)10.1002/joc.8407 (DOI)001179970700001 ()
Available from: 2024-03-26 Created: 2024-03-26 Last updated: 2025-06-12Bibliographically approved
Koelemeijer, I. A., Ehrlen, J., De Frenne, P., Joensson, M., Berg, P. & Hylander, K. (2023). Forest edge effects on moss growth are amplified by drought. Ecological Applications
Open this publication in new window or tab >>Forest edge effects on moss growth are amplified by drought
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2023 (English)In: Ecological Applications, ISSN 1051-0761, E-ISSN 1939-5582Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6434 (URN)10.1002/eap.2851 (DOI)000962260900001 ()36938961 (PubMedID)
Available from: 2023-04-25 Created: 2023-04-25 Last updated: 2025-06-12Bibliographically approved
Loarca, A. L., Berg, P., Baquerizo, A. & Besio, G. (2023). On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations. Climate Dynamics
Open this publication in new window or tab >>On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations
2023 (English)In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6428 (URN)10.1007/s00382-023-06756-0 (DOI)000956388300001 ()
Available from: 2023-04-19 Created: 2023-04-19 Last updated: 2025-06-12Bibliographically approved
Koelemeijer, I. A., Ehrlen, J., Jonsson, M., De Frenne, P., Berg, P., Andersson, J., . . . Hylander, K. (2022). Interactive effects of drought and edge exposure on old-growth forest understory species. Landscape Ecology
Open this publication in new window or tab >>Interactive effects of drought and edge exposure on old-growth forest understory species
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2022 (English)In: Landscape Ecology, ISSN 0921-2973, E-ISSN 1572-9761Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6272 (URN)10.1007/s10980-022-01441-9 (DOI)000797743600001 ()
Available from: 2022-05-31 Created: 2022-05-31 Last updated: 2025-06-12Bibliographically approved
Kjellström, E., Andersson, L., Arneborg, L., Berg, P., Capell, R., Fredriksson, S., . . . Strandberg, G. (2022). Klimatinformation som stöd för samhällets klimatanpassningsarbete.
Open this publication in new window or tab >>Klimatinformation som stöd för samhällets klimatanpassningsarbete
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2022 (Swedish)Report (Other academic)
Abstract [sv]

Det naturvetenskapliga kunskapsläget kring klimatförändringen blir allt starkare vilket till exempel har rapporterats i rapporten Klimat i förändring 2021 – Den naturvetenskapliga grunden från FN:s klimatpanel, IPCC, 2021. Den globala medeltemperaturen har höjts med mer än 1,1 grader sen andra halvan av 1800-talet. Detta beror i huvudsak på människans utsläpp av koldioxid till atmosfären. Fortsatta utsläpp kommer att leda till ännu större temperaturökning framöver. Exakt hur stora de framtida förändringarna av klimatet kan bli är inte känt eftersom det beror på hur stora de framtida koldioxidutsläppen blir, och eftersom det finns osäkerheter kring exakt hur mycket en ökning av koldioxidhalten påverkar klimatet. Trots detta är det klart att det förutom högre temperaturer för alla jordens regioner också kommer leda till förändringar i nederbördsförhållanden och olika typer av väderextremer. Utbredning av snö och is beräknas minska och den globala havsnivån fortsätta stiga. Dessa typer av förändringar förväntas få en lång rad konsekvenser både för samhälle och naturmiljö.Den här rapporten tar upp vilken klimatinformation som finns tillgänglig för det svenska samhällets klimatanpassningsarbete, hur informationen kan användas, vilka begränsningar den har och vad som kan förbättras. Fortsatt utveckling av metodik och modeller är en viktig komponent för att kunna ta fram och förbättra klimatinformation för klimatanpassningsarbetet liksom vikten av att säkerställa långa tidsserier för att spegla klimatets variabilitet och förändring. Stora ensembler av högupplösta klimatscenarier behövs för att kunna analysera, förstå och beskriva framtida klimatförändring under olika utsläppsscenarier. Detta gäller särskilt för att kunna göra sannolikhetsberäkningar av extrema väderhändelser, vilket är en central del i den riskanalys som behövs för att kunna anpassa samhället till både dagens klimat och det klimat vi kan få i framtiden. Rapporten pekar på betydelsen av långsiktighet i arbetet med produktion av klimatdata, samt att det är viktigt att arbeta med hela kedjan från observationer och modeller till användare.

Abstract [en]

The scientific basis related to climate change grows stronger, for example as reported by the latest report by the first working group of the IPCC in 2021. Primarily as a result of human emissions of carbon dioxide to the atmosphere, the global mean temperature has increased by more than 1.1 degrees since the second half of the 19th century. Continued emissions will lead to even larger increases in the future. Exactly how strong is unknown as the size of future emissions is not known and as there is an uncertainty related to the climate sensitivity. Despite this, it is clear that, in addition to higher temperatures in all areas, also precipitation will change as will different types of extreme conditions. The extent of snow and ice will decline and global sea level continue to rise. Such changes are expected to lead to various consequences both for society and the environment.The report presents what types of climate information that are available for work on climate change adaptation, how the information can be used, what limitations it has and what can be improved. Continued development of methods and models is one key component to be able to produce and improve climate information supporting climate change adaptation. Another relates to ensuring the existence of long time series reflecting variability and change. Large ensembles of high-resolution climate scenarios are needed to analyse, understand and describe future climate change under different scenarios. This is especially important for calculating probabilities of extreme weather events, which is a key component of the risk analysis. The report points to the importance of a longterm approach in the work with producing climate change information, and that it is important to involve the whole chain from observations and models to users of the information.

Publisher
p. 85
Series
Climatology, ISSN 1654-2258 ; 64
National Category
Climate Science
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6228 (URN)
Available from: 2022-02-08 Created: 2022-02-08 Last updated: 2025-06-12Bibliographically approved
Berg, P., Bosshard, T., Yang, W. & Zimmermann, K. (2022). MIdASv0.2.1-MultI-scale bias AdjuStment. Geoscientific Model Development, 15(15), 6165-6180
Open this publication in new window or tab >>MIdASv0.2.1-MultI-scale bias AdjuStment
2022 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 15, no 15, p. 6165-6180Article in journal (Refereed) Published
National Category
Climate Science
Research subject
Climate; Climate
Identifiers
urn:nbn:se:smhi:diva-6326 (URN)10.5194/gmd-15-6165-2022 (DOI)000836325300001 ()
Available from: 2022-09-06 Created: 2022-09-06 Last updated: 2025-06-12
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1469-2568

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