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BETA
Wyser, Klaus
Alternative names
Publications (10 of 37) Show all publications
Thomas, M., Devasthale, A., Koenigk, T., Wyser, K., Roberts, M., Roberts, C. & Lohmann, K. (2019). A statistical and process-oriented evaluation of cloud radiative effects in high-resolution global models. Geoscientific Model Development, 12(4), 1679-1702
Open this publication in new window or tab >>A statistical and process-oriented evaluation of cloud radiative effects in high-resolution global models
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2019 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 12, no 4, p. 1679-1702Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5201 (URN)10.5194/gmd-12-1679-2019 (DOI)000466174100001 ()
Available from: 2019-05-07 Created: 2019-05-07 Last updated: 2019-05-07Bibliographically approved
Betts, R. A., Alfieri, L., Bradshaw, C., Caesar, J., Feyen, L., Friedlingstein, P., . . . Wyser, K. (2018). Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5 degrees C and 2 degrees C global warming with a higher-resolution global climate model. Philosophical Transactions. Series A: Mathematical, physical, and engineering science, 376(2119), Article ID 20160452.
Open this publication in new window or tab >>Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5 degrees C and 2 degrees C global warming with a higher-resolution global climate model
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2018 (English)In: Philosophical Transactions. Series A: Mathematical, physical, and engineering science, ISSN 1364-503X, E-ISSN 1471-2962, Vol. 376, no 2119, article id 20160452Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-4578 (URN)10.1098/rsta.2016.0452 (DOI)000429046300007 ()29610383 (PubMedID)
Available from: 2018-04-25 Created: 2018-04-25 Last updated: 2018-04-25Bibliographically approved
Dosio, A., Mentaschi, L., Fischer, E. M. & Wyser, K. (2018). Extreme heat waves under 1.5 degrees C and 2 degrees C global warming. Environmental Research Letters, 13(5), Article ID 054006.
Open this publication in new window or tab >>Extreme heat waves under 1.5 degrees C and 2 degrees C global warming
2018 (English)In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 13, no 5, article id 054006Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-4656 (URN)10.1088/1748-9326/aab827 (DOI)000430945200002 ()
Available from: 2018-05-16 Created: 2018-05-16 Last updated: 2018-05-16Bibliographically approved
Koutroulis, A. G., Papadimitriou, L. V., Grillakis, M. G., Tsanis, I. K., Wyser, K. & Betts, R. A. (2018). Freshwater vulnerability under high end climate change. A pan-European assessment. Science of the Total Environment, 613, 271-286
Open this publication in new window or tab >>Freshwater vulnerability under high end climate change. A pan-European assessment
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2018 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 613, p. 271-286Article in journal (Refereed) Published
National Category
Climate Research
Identifiers
urn:nbn:se:smhi:diva-4423 (URN)10.1016/j.scitotenv.2017.09.074 (DOI)000414160500029 ()
Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2017-11-21Bibliographically approved
Naumann, G., Alfieri, L., Wyser, K., Mentaschi, L., Betts, R. A., Carrao, H., . . . Feyen, L. (2018). Global Changes in Drought Conditions Under Different Levels of Warming. Geophysical Research Letters, 45(7), 3285-3296
Open this publication in new window or tab >>Global Changes in Drought Conditions Under Different Levels of Warming
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2018 (English)In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 45, no 7, p. 3285-3296Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-4826 (URN)10.1002/2017GL076521 (DOI)000435743400047 ()
Available from: 2018-08-06 Created: 2018-08-06 Last updated: 2018-08-06Bibliographically approved
Smith, D. M., Scaife, A. A., Hawkins, E., Bilbao, R., Boer, G. J., Caian, M., . . . Yeager, S. (2018). Predicted Chance That Global Warming Will Temporarily Exceed 1.5 degrees C. Geophysical Research Letters, 45(21), 11895-11903
Open this publication in new window or tab >>Predicted Chance That Global Warming Will Temporarily Exceed 1.5 degrees C
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2018 (English)In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 45, no 21, p. 11895-11903Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5022 (URN)10.1029/2018GL079362 (DOI)000451832600042 ()
Available from: 2018-12-19 Created: 2018-12-19 Last updated: 2018-12-19Bibliographically approved
Koutroulis, A. G., Papadimitriou, L. V., Grillakis, M. G., Tsanis, I. K., Wyser, K., Caesar, J. & Betts, R. A. (2018). Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment. Water, 10(10), Article ID 1331.
Open this publication in new window or tab >>Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment
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2018 (English)In: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 10, no 10, article id 1331Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5019 (URN)10.3390/w10101331 (DOI)000451208400046 ()
Available from: 2018-12-12 Created: 2018-12-12 Last updated: 2018-12-12Bibliographically approved
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., . . . Feyen, L. (2017). Global projections of river flood risk in a warmer world. Earth's Future, 5(2), 171-182
Open this publication in new window or tab >>Global projections of river flood risk in a warmer world
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2017 (English)In: Earth's Future, ISSN 1384-5160, E-ISSN 2328-4277, Vol. 5, no 2, p. 171-182Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-4067 (URN)10.1002/2016EF000485 (DOI)000396932200004 ()
Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-04-25Bibliographically approved
Bellucci, A., Haarsma, R., Gualdi, S., Athanasiadis, P. J., Caian, M., Cassou, C., . . . Yang, S. (2015). An assessment of a multi-model ensemble of decadal climate predictions. Climate Dynamics, 44(9-10), 2787-2806
Open this publication in new window or tab >>An assessment of a multi-model ensemble of decadal climate predictions
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2015 (English)In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 44, no 9-10, p. 2787-2806Article in journal (Refereed) Published
Abstract [en]

A multi-model ensemble of decadal prediction experiments, performed in the framework of the EU-funded COMBINE (Comprehensive Modelling of the Earth System for Better Climate Prediction and Projection) Project following the 5th Coupled Model Intercomparison Project protocol is examined. The ensemble combines a variety of dynamical models, initialization and perturbation strategies, as well as data assimilation products employed to constrain the initial state of the system. Taking advantage of the multi-model approach, several aspects of decadal climate predictions are assessed, including predictive skill, impact of the initialization strategy and the level of uncertainty characterizing the predicted fluctuations of key climate variables. The present analysis adds to the growing evidence that the current generation of climate models adequately initialized have significant skill in predicting years ahead not only the anthropogenic warming but also part of the internal variability of the climate system. An important finding is that the multi-model ensemble mean does generally outperform the individual forecasts, a well-documented result for seasonal forecasting, supporting the need to extend the multi-model framework to real-time decadal predictions in order to maximize the predictive capabilities of currently available decadal forecast systems. The multi-model perspective did also allow a more robust assessment of the impact of the initialization strategy on the quality of decadal predictions, providing hints of an improved forecast skill under full-value (with respect to anomaly) initialization in the near-term range, over the Indo-Pacific equatorial region. Finally, the consistency across the different model predictions was assessed. Specifically, different systems reveal a general agreement in predicting the near-term evolution of surface temperatures, displaying positive correlations between different decadal hindcasts over most of the global domain.

National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-2002 (URN)10.1007/s00382-014-2164-y (DOI)000351459800026 ()
Available from: 2016-04-13 Created: 2016-03-03 Last updated: 2017-11-30Bibliographically approved
Hytteborn, J. K., Temnerud, J., Alexander, R. B., Boyer, E. W., Futter, M. N., Froberg, M., . . . Bishop, K. H. (2015). Patterns and predictability in the intra-annual organic carbon variability across the boreal and hemiboreal landscape. Science of the Total Environment, 520, 260-269
Open this publication in new window or tab >>Patterns and predictability in the intra-annual organic carbon variability across the boreal and hemiboreal landscape
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2015 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 520, p. 260-269Article in journal (Refereed) Published
Abstract [en]

Factors affecting total organic carbon (TOC) concentrations in 215 watercourses across Sweden were investigated using parameter parsimonious regression approaches to explain spatial and temporal variabilities of the TOC water quality responses. We systematically quantified the effects of discharge, seasonality, and long-term trend as factors controlling intra-annual (among year) and inter-annual (within year) variabilities of TOC by evaluating the spatial variability in model coefficients and catchment characteristics (e.g. land cover, retention time, soil type). Catchment area (0.18-47,000 km(2)) and land cover types (forests, agriculture and alpine terrain) are typical for the boreal and hemiboreal zones across Fennoscandia. Watercourses had at least 6 years of monthly water quality observations between 1990 and 2010. Statistically significant models (p < 0.05) describing variation of TOC in streamflow were identified in 209 of 215 watercourses with a mean Nash-Sutcliffe efficiency index of 0.44. Increasing long-term trends were observed in 149 (70%) of the watercourses, and intra-annual variation in TOC far exceeded inter-annual variation. The average influences of the discharge and seasonality terms on intra-annual variations in daily TOC concentration were 1.4 and 1.3 mg l(-1) (13 and 12% of the mean annual TOC), respectively. The average increase in TOC was 0.17 mg l(-1) year(-1) (1.6% year(-1)). Multivariate regression with over 90 different catchment characteristics explained 21% of the spatial variation in the linear trend coefficient, less than 20% of the variation in the discharge coefficient and 73% of the spatial variation in mean TOC. Specific discharge, water residence time, the variance of daily precipitation, and lake area, explained 45% of the spatial variation in the amplitude of the TOC seasonality. Because the main drivers of temporal variability in TOC are seasonality and discharge, first-order estimates of the influences of climatic variability and change on TOC concentration should be predictable if the studied catchments continue to respond similarly. (C) 2015 Elsevier B.V. All rights reserved.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-1988 (URN)10.1016/j.scitotenv.2015.03.041 (DOI)000353509500028 ()25817763 (PubMedID)
Available from: 2016-04-25 Created: 2016-03-03 Last updated: 2018-01-10Bibliographically approved
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