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Bosshard, Thomas
Publications (10 of 14) Show all publications
Gutierrez, J. M., Maraun, D., Widmann, M., Huth, R., Hertig, E., Benestad, R., . . . Page, C. (2019). An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment. International Journal of Climatology, 39(9), 3750-3785
Open this publication in new window or tab >>An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment
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2019 (English)In: International Journal of Climatology, ISSN 0899-8418, E-ISSN 1097-0088, Vol. 39, no 9, p. 3750-3785Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5243 (URN)10.1002/joc.5462 (DOI)000474001900006 ()
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-30Bibliographically approved
Olesen, J. E., Borgesen, C. D., Hashemi, F., Jabloun, M., Bar-Michalczyk, D., Wachniew, P., . . . Refsgaard, J. C. (2019). Nitrate leaching losses from two Baltic Sea catchments under scenarios of changes in land use, land management and climate. Ambio, 48(11), 1252-1263
Open this publication in new window or tab >>Nitrate leaching losses from two Baltic Sea catchments under scenarios of changes in land use, land management and climate
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2019 (English)In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 48, no 11, p. 1252-1263Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-5466 (URN)10.1007/s13280-019-01254-2 (DOI)000492594700003 ()31542886 (PubMedID)
Available from: 2019-11-12 Created: 2019-11-12 Last updated: 2019-11-12Bibliographically approved
Kotlarski, S., Szabo, P., Herrera, S., Raty, O., Keuler, K., Soares, P. M., . . . Pianko-Kluczynska, K. (2019). Observational uncertainty and regional climate model evaluation: A pan-European perspective. International Journal of Climatology, 39(9), 3730-3749
Open this publication in new window or tab >>Observational uncertainty and regional climate model evaluation: A pan-European perspective
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2019 (English)In: International Journal of Climatology, ISSN 0899-8418, E-ISSN 1097-0088, Vol. 39, no 9, p. 3730-3749Article in journal (Refereed) Published
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-5242 (URN)10.1002/joc.5249 (DOI)000474001900005 ()
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-29Bibliographically approved
Widmann, M., Bedia, J., Gutierrez, J. M., Bosshard, T., Hertig, E., Maraun, D., . . . Huth, R. (2019). Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment. International Journal of Climatology, 39(9), 3819-3845
Open this publication in new window or tab >>Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment
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2019 (English)In: International Journal of Climatology, ISSN 0899-8418, E-ISSN 1097-0088, Vol. 39, no 9, p. 3819-3845Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-5244 (URN)10.1002/joc.6024 (DOI)000474001900008 ()
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-29Bibliographically approved
Pechlivanidis, I., Gupta, H. & Bosshard, T. (2018). An Information Theory Approach to Identifying a Representative Subset of Hydro-Climatic Simulations for Impact Modeling Studies. Water resources research, 54(8), 5422-5435
Open this publication in new window or tab >>An Information Theory Approach to Identifying a Representative Subset of Hydro-Climatic Simulations for Impact Modeling Studies
2018 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, no 8, p. 5422-5435Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4977 (URN)10.1029/2017WR022035 (DOI)000445451800014 ()
Available from: 2018-10-10 Created: 2018-10-10 Last updated: 2018-10-10Bibliographically approved
Raty, O., Raisanen, J., Bosshard, T. & Donnelly, C. (2018). Intercomparison of Univariate and Joint Bias Correction Methods in Changing Climate From a Hydrological Perspective. Climate, 6(2), Article ID 33.
Open this publication in new window or tab >>Intercomparison of Univariate and Joint Bias Correction Methods in Changing Climate From a Hydrological Perspective
2018 (English)In: Climate, ISSN 2053-7565, E-ISSN 2225-1154, Vol. 6, no 2, article id 33Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4806 (URN)10.3390/cli6020033 (DOI)000436491700015 ()
Available from: 2018-08-06 Created: 2018-08-06 Last updated: 2018-08-06Bibliographically approved
Raty, O., Virta, H., Bosshard, T. & Donnelly, C. (2017). Regional climate model and model output statistics method uncertainties and the effect of temperature and precipitation on future river discharges in Scandinavia. Hydrology Research, 48(5), 1363-1377
Open this publication in new window or tab >>Regional climate model and model output statistics method uncertainties and the effect of temperature and precipitation on future river discharges in Scandinavia
2017 (English)In: Hydrology Research, ISSN 1998-9563, E-ISSN 2224-7955, Vol. 48, no 5, p. 1363-1377Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-4310 (URN)10.2166/nh.2017.127 (DOI)000412412500014 ()
Available from: 2017-11-13 Created: 2017-11-13 Last updated: 2018-01-13Bibliographically approved
Pechlivanidis, I. G., Olsson, J., Bosshard, T., Sharma, D. & Sharma, K. C. (2016). Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent. Water, 8(5), Article ID 177.
Open this publication in new window or tab >>Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent
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2016 (English)In: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 8, no 5, article id 177Article in journal (Refereed) Published
Abstract [en]

The impact of climate change on the hydro-climatology of the Indian subcontinent is investigated by comparing statistics of current and projected future fluxes resulting from three RCP scenarios (RCP2.6, RCP4.5, and RCP8.5). Climate projections from the CORDEX-South Asia framework have been bias-corrected using the Distribution-Based Scaling (DBS) method and used to force the HYPE hydrological model to generate projections of evapotranspiration, runoff, soil moisture deficit, snow depth, and applied irrigation water to soil. We also assess the changes in the annual cycles in three major rivers located in different hydro-climatic regions. Results show that conclusions can be influenced by uncertainty in the RCP scenarios. Future scenarios project a gradual increase in temperature (up to 7 degrees C on average), whilst changes (both increase and decrease) in the long-term average precipitation and evapotranspiration are more severe at the end of the century. The potential change (increase and decrease) in runoff could reach 100% depending on the region and time horizon. Analysis of annual cycles for three selected regions showed that changes in discharge and evapotranspiration due to climate change vary between seasons, whereas the magnitude of change is dependent on the region's hydro-climatic gradient. Irrigation needs and the snow depth in the Himalayas are also affected.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-2855 (URN)10.3390/w8050177 (DOI)
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2018-01-10Bibliographically approved
Pechlivanidis, I. G., Olsson, J., Bosshard, T., Sharma, D. & Sharma, K. C. (2016). Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent. Water, 8(5), 177-177
Open this publication in new window or tab >>Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent
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2016 (English)In: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 8, no 5, p. 177-177Article in journal (Refereed) Published
Abstract [en]

The impact of climate change on the hydro-climatology of the Indian subcontinent is investigated by comparing statistics of current and projected future fluxes resulting from three RCP scenarios (RCP2.6, RCP4.5, and RCP8.5). Climate projections from the CORDEX-South Asia framework have been bias-corrected using the Distribution-Based Scaling (DBS) method and used to force the HYPE hydrological model to generate projections of evapotranspiration, runoff, soil moisture deficit, snow depth, and applied irrigation water to soil. We also assess the changes in the annual cycles in three major rivers located in different hydro-climatic regions. Results show that conclusions can be influenced by uncertainty in the RCP scenarios. Future scenarios project a gradual increase in temperature (up to 7 degrees C on average), whilst changes (both increase and decrease) in the long-term average precipitation and evapotranspiration are more severe at the end of the century. The potential change (increase and decrease) in runoff could reach 100% depending on the region and time horizon. Analysis of annual cycles for three selected regions showed that changes in discharge and evapotranspiration due to climate change vary between seasons, whereas the magnitude of change is dependent on the region's hydro-climatic gradient. Irrigation needs and the snow depth in the Himalayas are also affected.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-2193 (URN)000377984300008 ()
Available from: 2016-07-08 Created: 2016-07-08 Last updated: 2018-01-10Bibliographically approved
Pechlivanidis, I., Olsson, J., Sharma, D., Bosshard, T. & Sharma, K. C. (2015). ASSESSMENT OF THE CLIMATE CHANGE IMPACTS ON THE WATER RESOURCES OF THE LUNI REGION, INDIA. GLOBAL NEST JOURNAL, 17(1), 29-40
Open this publication in new window or tab >>ASSESSMENT OF THE CLIMATE CHANGE IMPACTS ON THE WATER RESOURCES OF THE LUNI REGION, INDIA
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2015 (English)In: GLOBAL NEST JOURNAL, ISSN 1790-7632, Vol. 17, no 1, p. 29-40Article in journal (Refereed) Published
Abstract [en]

Climate change is expected to have a strong impact on water resources at the local, regional and global scales. In this study, the impact of climate change on the hydro-climatology of the Luni region, India, is investigated by comparing statistics of current and projected future fluxes resulting from three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5). The use of different scenarios allows for the estimation of uncertainty of future impacts. The projections are based on the CORDEX-South Asia framework and are bias-corrected using the DBS method before being entered into the HYPE (HYdrological Predictions for the Environment) hydrological model to generate predictions of runoff, evapotranspiration, soil moisture deficit, and applied irrigation water to soil. Overall, the high uncertainty in the climate projections is propagated in the impact model, and as a result the spatiotemporal distribution of change is subject to the climate change scenario. In general, for all scenarios, results show a -20 to +20% change in the long-term average precipitation and evapotranspiration, whereas more pronounced impacts are expected for runoff (-40 to +40% change). Climate change can also affect other hydro-climatic components, however, at a lower impact. Finally, the flow dynamics in the Luni River are substantially affected in terms of shape and magnitude.

National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-1999 (URN)000352254200004 ()
Available from: 2016-04-14 Created: 2016-03-03 Last updated: 2018-01-10Bibliographically approved
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