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Bosshard, Thomas
Publications (10 of 21) Show all publications
Pesci, M. H., Schulte Overberg, P., Bosshard, T. & Foerster, K. (2023). From global glacier modeling to catchment hydrology: bridging the gap with the WaSiM-OGGM coupling scheme. Frontiers in Water, 5, Article ID 1296344.
Open this publication in new window or tab >>From global glacier modeling to catchment hydrology: bridging the gap with the WaSiM-OGGM coupling scheme
2023 (English)In: Frontiers in Water, E-ISSN 2624-9375, Vol. 5, article id 1296344Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6556 (URN)10.3389/frwa.2023.1296344 (DOI)001134814600001 ()
Available from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-01-29Bibliographically approved
Hu, J., Koning, V., Bosshard, T., Harmsen, R., Crijns-Graus, W., Worrell, E. & van den Broek, M. (2023). Implications of a Paris-proof scenario for future supply of weather-dependent variable renewable energy in Europe. ADVANCES IN APPLIED ENERGY, 10, Article ID 100134.
Open this publication in new window or tab >>Implications of a Paris-proof scenario for future supply of weather-dependent variable renewable energy in Europe
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2023 (English)In: ADVANCES IN APPLIED ENERGY, ISSN 2666-7924, Vol. 10, article id 100134Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6485 (URN)10.1016/j.adapen.2023.100134 (DOI)001030942700001 ()
Available from: 2023-08-15 Created: 2023-08-15 Last updated: 2023-08-15Bibliographically 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 Research
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: 2022-09-06
Photiadou, C., Arheimer, B., Bosshard, T., Capell, R., Elenius, M., Gallo, I., . . . Sjökvist, E. (2021). Designing a Climate Service for Planning Climate Actions in Vulnerable Countries. Atmosphere, 12(1), Article ID 121.
Open this publication in new window or tab >>Designing a Climate Service for Planning Climate Actions in Vulnerable Countries
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2021 (English)In: Atmosphere, ISSN 2073-4433, E-ISSN 2073-4433, Vol. 12, no 1, article id 121Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-6064 (URN)10.3390/atmos12010121 (DOI)000609771000001 ()
Available from: 2021-02-16 Created: 2021-02-16 Last updated: 2021-02-16Bibliographically approved
Berg, P., Bosshard, T., Yang, W. & Zimmermann, K. (2021). MIdAS version 0.1: framtagande och utvärdering av ett nytt verktyg för biasjustering.
Open this publication in new window or tab >>MIdAS version 0.1: framtagande och utvärdering av ett nytt verktyg för biasjustering
2021 (Swedish)Report (Other academic)
Abstract [sv]

Biasjustering används för att anpassa resultaten från klimatmodeller så att de blir användbara för effektmodellering och beräkning av klimatindikatorer. Klimatmodeller uppvisar nämligen regionala och säsongsbetonade systematiska avvikelser från observerat klimat, vilket leder till problem för effektmodeller som är kalibrerade mot observationer. Biasjusteringen består i grunden av en algoritm som beskriver hur olika värden av till exempel temperatur eller nederbörd justeras för att återskapa en långsiktig statistisk beskrivning av klimatet enligt observationerna. Metoden MIdAS (MultI-scale bias AdjuStment) har tagits fram för biasjustering inom SMHI. En avdelningsöverskridande arbetsgrupp har genom litteraturstudie tagit fram de metoder som ligger närmast en internationell “state-of-the-art” inom biasjustering. Fokus har varit på justering av de huvudsakliga parametrar som används inom SMHI för att producera klimatindikatorer och för effektmodellering inom främst hydrologi. En utvärderingsmetodik har tagits fram för att studera olika metoders resultat för historiska och framtida data, i Sverige och olika regioner i världen. Resultaten av studien visar på att enkla metoder fungerar likvärdigt eller bättre än de mer komplexa metoderna, förutom en större påverkanpå klimatsignalers magnitud i vissa situationer. Implementeringen av MIdASv0.1 är likvärdig och ofta bättre än andra metoder.

Abstract [en]

Bias adjustment is commonly applied to adjust results from climate models to make them compatible with impact models and for calculations of climate indicators. The issues arise from systematic deviations at regional and seasonal scales in climate model compared to observations. The core of a bias adjustment is an algorithm that transfers the model values toward a reference, often using a distribution of vales.The MIdAS (MultI-scale bias AdjuStment) method has been developed for bias adjustment at SMHI. A literature study was performed by a core group of researchers in different fields within SMHI to define the state-of-the-art in bias adjustment. With a focus on the main disciplines of SMHI (meteorology, hydrology and oceanography) and the parameters involved, a method for evaluation of historical and future performance was designed and applied to regions within Sweden and in several regions around the globe. The evaluation of multiple common bias adjustment methods showed that relatively simple methods perform equally well or even better than more intricate methods, besides a larger impact on the magnitude of climate change signals in some cases. The implementation of MIdASv0.1 performs generally equally and sometimes better than other analysed methods. 

Publisher
p. 24
Series
Climatology, ISSN 1654-2258 ; 63
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6130 (URN)
Available from: 2021-07-06 Created: 2021-07-06 Last updated: 2021-07-06Bibliographically approved
Photiadou, C., Arheimer, B., Bosshard, T., Capell, R., Elenius, M., Klehmet, K., . . . Santos, L. (2021). Planning Climate Actions in Vulnerable Countries. , Article ID 10.3390/atmos12010121.
Open this publication in new window or tab >>Planning Climate Actions in Vulnerable Countries
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2021 (English)In: article id 10.3390/atmos12010121Article in journal (Other academic) Published
Abstract [en]

The next generation of climate services needs not only tailoring to specific user needs but to provide, in addition, access to key information in a usable way that satisfies the needs of different users’ profiles; especially web-based services. Here, we present the outcomes from developing such a new interactive prototype. The service provides data for robust climate analysis to underpin decision-making when planning measures to compensate for climate impact. The goal is to facilitate the communication on climate information between climate modelling communities and adaptation or mitigation initiatives from vulnerable countries that are applying for funds from the Green Climate Fund (GCF). A participatory process was ensured during four workshops in four pilot countries, with an audience of national and international experts. During this process it was made clear that in all countries there is a strong need for knowledge in climate science, while in most countries there was also an increasing need of capacity in hydrological modelling and water management. The active interaction during the workshops was found necessary to facilitate the dialogue between service developers and users. Understanding the users, transparency on potentials and limitations of climate services together with capacity development in climate science and methods were required components in the development of the service.

Place, publisher, year, edition, pages
Basel: , 2021
National Category
Climate Research
Research subject
Climate
Identifiers
urn:nbn:se:smhi:diva-6059 (URN)
Available from: 2021-02-09 Created: 2021-02-09 Last updated: 2021-02-09Bibliographically approved
Pechlivanidis, I., Crochemore, L., Rosberg, J. & Bosshard, T. (2020). What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts?. Water resources research, 56(6), Article ID e2019WR026987.
Open this publication in new window or tab >>What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts?
2020 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 56, no 6, article id e2019WR026987Article in journal (Refereed) Published
National Category
Oceanography, Hydrology and Water Resources
Research subject
Hydrology
Identifiers
urn:nbn:se:smhi:diva-5835 (URN)10.1029/2019WR026987 (DOI)000556140700019 ()
Available from: 2020-08-25 Created: 2020-08-25 Last updated: 2020-08-25Bibliographically approved
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: 2020-05-14Bibliographically 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
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