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  • 1.
    Andréasson, Johan
    et al.
    SMHI, Professional Services.
    Bergström, Sten
    SMHI, Research Department, Hydrology.
    Carlsson, Bengt
    SMHI, Research Department, Hydrology.
    Graham, Phil
    SMHI, Research Department, Climate research - Rossby Centre.
    Lindström, Göran
    SMHI, Research Department, Hydrology.
    Hydrological change - Climate change impact simulations for Sweden2004In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 33, no 4-5, p. 228-234Article in journal (Refereed)
    Abstract [en]

    Climate change resulting from the enhanced greenhouse effect is expected to give rise to changes in hydrological systems. This hydrological change, as with the change in climate variables, will vary regionally around the globe. Impact studies at local and regional scales are needed to assess how different regions will be affected. This study focuses on assessment of hydrological impacts of climate change over a wide range of Swedish basins. Different methods of transferring the signal of climate change from climate models to hydrological models were used. Several hydrological model simulations using regional climate model scenarios from Swedish Regional Climate Modelling Programme (SWECLIM) are presented. A principal conclusion is that subregional impacts to river flow vary considerably according to whether a basin is in northern or southern Sweden. Furthermore, projected hydrological change is just as dependent on the choice of the global climate model used for regional climate model boundary conditions as the choice of anthropogenic emissions scenario.

  • 2.
    Andréasson, Johan
    et al.
    SMHI, Professional Services.
    Gyllander, Anders
    SMHI, Core Services.
    Johansson, Barbro
    SMHI, Professional Services.
    Källgården, Josef
    SMHI.
    Lindell, Sten
    SMHI, Professional Services.
    Olofsson, Judith
    SMHI, Core Services.
    Snötaxering med georadar: Bättre vårflödesprognoser med HBV-modellen?2001Report (Other academic)
    Abstract [sv]

    Denna studie hade som målsättning att undersöka möjligheten att med hjälp av georadarmätningar korrigera HBV-modellens snömagasin och därigenom öka tillförlitligheten för vårflödesprognoserna.Två angreppssätt har testats för att korrigera HBV-modellens snömagasin mot snötaxeringsdata. Dels gjordes försök att finna representativa flyglinjer som, via linjär regression mot HBV-modellens uppdaterade snömagasin, kunde representera områdets verkliga snömagasin. Dels enomfördes försök att utifrån flyglinjerna och geografiska variabler interpolera fram ett arealmedelvärde för snömagasinet i prognosområdena.Resultaten från den förstnämnda metoden visar att den extra informationen kan vara av värde i områden där HBV-modellen uppvisar systematiska fel. Georadardata kan därför användas för att upptäcka och korrigera för homogenitetsbrott i klimatdata. I områden där HBVmodellens fel tycks slumpmässiga verkar däremot inte georadardata förbättra prognoserna. Försöken med ett interpolerat snömagasin gav inte resultat som ansågs tillräckligt bra för att kunna användas för uppdatering av HBV-modellen.I de flesta områden är HBV-modellens volymfel över vårfloden små (< 10%) vilket ställer höga krav på mätningarnas kvalité för att de ska kunna användas för att ytterligare förbättra prognoserna. Svårigheterna att förbättra HBV-modellens vårflödesprognoser kan dels ha varit beroende på att HBV-modellens struktur inte är anpassad till att utnyttja denna typ av indata och dels på att kvalitén på mätningarna inte var tillräcklig i förhållande till HBV-modellens precision. Snöns spatiala densitetsvariationer, snöns våthet och koordinatbestämningen av mätpunkterna har identifierats som kritiska för noggrannheten på det beräknade snömagasinets storlek. I rapporten har rekommendationer givits för hur dessa problem skulle kunna behandlas.

  • 3.
    Andréasson, Johan
    et al.
    SMHI, Professional Services.
    Hellström, Sara-Sofia
    SMHI, Core Services.
    Rosberg, Jörgen
    SMHI, Research Department, Hydrology.
    Bergström, Sten
    SMHI, Research Department, Hydrology.
    Översiktlig kartpresentation av klimatförändringars påverkan på Sveriges vattentillgång.: Summary of climate change maps of the Swedish water resources - Background material for the Swedish Commission on Climate and Vulnerability. Underlag till Klimat- och sårbarhetsutredningen.2007Report (Other academic)
    Abstract [en]

    This report summarizes the water resource maps of changes in mean annual runoff, large floods and hydropower potential that have been delivered to the Swedish Commission on Climate and Vulnerability. The hydrological model simulations that have been used to produce the maps were done using the HBV Sweden modelling system. Simulations for present climate used observed input of precipitation and temperature from 1961-1990. Calculations of future hydrological conditions were based on results from regional climate modelling at the Rossby Centre, SMHI. Five different regional scenarios of future climate have been used, four representing the future period 2071-2100 and one for the whole period 1961-2100. Two different approaches to interface the hydrological model and the climate models have been used, the delta method and the scaling method. The mean annual runoff will, according to the scenarios, increase for most parts of Sweden except for the south-east parts of the country. The picture becomes more complex when it comes to changes in large floods, but they are expected to increase substantially in the south-west parts and in the Swedish mountains according to the scenarios. The total Swedish hydropower potential is expected to increase substantially according to the scenarios. All results from HBV Sweden should only be used for a general interpretation of where more in depth analyses might be of interest. The simulations based on the so-called scaling method are more preliminary than the other simulations, since the method is still under development.

  • 4.
    Arheimer, Berit
    et al.
    SMHI, Research Department, Hydrology.
    Andreasson, Johan
    SMHI, Professional Services.
    Fogelberg, S
    Johnsson, H
    Pers, Charlotta
    SMHI, Research Department, Hydrology.
    Persson, K
    Climate change impact on water quality: Model results from southern Sweden2005In: Ambio, ISSN 0044-7447, E-ISSN 1654-7209, Vol. 34, no 7, p. 559-566Article in journal (Refereed)
    Abstract [en]

    Starting from six regional climate change scenarios, nitrogen leaching from arable-soil, water discharge, and nitrogen retention was modeled in the Ronnea catchment. Additionally, biological response was modeled in the eutrophic Lake Ringsjon. The results are compared with similar studies on other catchments. All scenarios gave similar impact on water quality but varied in quantities. However, one scenario resulted in a different transport pattern due to less-pronounced seasonal variations in the hydrology. On average, the study shows that, in a future climate, we might expect: i) increased concentrations of nitrogen in the arable root zone (+50%) and in the river (+13%); ii) increased annual load of nitrogen from land to sea (+22%) due to more pronounced winter high flow; moreover, remote areas in the catchment may start to contribute to the outlet load; iii) radical changes in lake biochemistry with increased concentrations of total phosphorus (+50%), total nitrogen (+20%), and planktonic algae such as cyanobacteria (+80%).

  • 5.
    Bergström, Sten
    et al.
    SMHI, Research Department, Hydrology.
    Andréasson, Johan
    SMHI, Professional Services.
    Graham, Phil
    SMHI, Professional Services.
    Lindström, Göran
    SMHI, Research Department, Hydrology.
    Use of Hydrological Data and Climate Scenarios for Climate Change Detection in the Baltic Basin2004In: Study Conference on BALTEX: Conference Proceedings / [ed] Hans-Jörg Isemer, Risø National Laboratory Technical University of Denmark GKSS Forschungszentrum Geesthacht GmbH , 2004, Vol. 4, p. 158-159Conference paper (Other academic)
  • 6.
    Carlsson, Bengt
    et al.
    SMHI, Research Department, Hydrology.
    Bergström, Sten
    SMHI, Core Services.
    Andréasson, Johan
    SMHI, Professional Services.
    Hellström, Sara-Sofia
    SMHI, Core Services.
    Framtidens översvämningsrisker2006Report (Other academic)
    Abstract [en]

    A study of the impacts of global warming on future risks for floods and inundations in Sweden has been carried out on contract from Länsförsäkringsbolagens Forskningsfond. The work focussed on River Dalälven and the big lakes Vänern, Mälaren and Hjälmaren but some nationwide analyses were carried out as well. The methodology was based on two global climate models, two assumptions about the future emissions of greenhouse gases and a regional climate model for dynamical downscaling to Swedish conditions. The regional climate scenarios are further processed by the HBV hydrological model and the resulting river runoff or water levels are treated statistically by frequency analysis. The results show that future risk exposure is changing in a different way depending on location in the country. The situation seems to be aggravated in particular in the Vänern area in southwest Sweden and along its outlet, River Göta älv. There will also be increased risks in the western parts of the Scandinavian mountains. The risks for heavy rainfalls, which may cause severe local flooding are likely to increase even though it is difficult to discern a consistent regional pattern between the models, in this respect. The study has also addressed the uncertainty in the assessments of flood risks. It is obvious that uncertainties in the global climate scenarios are responsible for a lot of the uncertainty in the end results, but there are also uncertainties inflicted by the strategy used when transferring the climate change signal from climate models to the hydrological model.

  • 7.
    Graham, Phil
    et al.
    SMHI, Research Department, Climate research - Rossby Centre.
    Andreasson, Johan
    SMHI, Professional Services.
    Carlsson, Bengt
    SMHI, Research Department, Hydrology.
    Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods - a case study on the Lule River basin2007In: Climatic Change, ISSN 0165-0009, E-ISSN 1573-1480, Vol. 81, p. 293-307Article in journal (Refereed)
    Abstract [en]

    This paper investigates how using different regional climate model (RCM) simulations affects climate change impacts on hydrology in northern Europe using an offline hydrological model. Climate change scenarios from an ensemble of seven RCMs, two global climate models (GCMs), two global emissions scenarios and two RCMs of varying resolution were used. A total of 15 climate change simulations were included in studies on the Lule River basin in Northern Sweden. Two different approaches to transfer climate change from the RCMs to hydrological models were tested. A rudimentary estimate of change in laydropower potential on the Lule River due to climate change was also made. The results indicate an overall increase in river flow, earlier spring peak flows and an increase in hydropower potential. The two approaches for transferring the signal of climate change to the hydrological impacts model gave similar mean results, but considerably different seasonal dynamics, a result that is highly relevant for other types of climate change impacts studies.

  • 8.
    Johansson, Barbro
    et al.
    SMHI, Professional Services.
    Andréasson, Johan
    SMHI, Professional Services.
    Jansson, Johan
    SMHI.
    Satellite data on snow cover in the HBV model: Method development and evaluation2003Report (Other academic)
    Abstract [en]

    Hydrological forecasts are essential, both for the prevention of flood damages and for water resources planning. In Northern Sweden, snowmelt plays an important role in the formation of runoff. Spring flood forecasts have been carried out since the middle of the 1970s, using the HBV runoff model. In the HBV model, the snow pack is simulated from interpolated daily observations of point precipitation and temperature. The acquirement of representative data is often difficult as the highest precipitation occurs at high altitudes, which are sparsely populated and difficult to reach. Remote sensing data on the snow pack should thus be important as an additional source of information. The project presented in this report had two aims:- To modify the HBV model to include remote sensing data as input to the simulations.- To evaluate the influence of such data on the accuracy of simulated runoff.The remote sensing data available to the project came from NOAA-AVHRR images, which provided data on snow covered area under cloud free conditions. The evaluation was carried out for a medium-sized catchment in the mountainous region in the northwest of Sweden. Satellite data were available for five different years. To facilitate the use of remote sensing data, a gridded version of the HBV model was developed. Procedures and criteria were developed to automatically calibrate the HBV model against both runoff and snow cover data. This was done to minimise the risk of compensating errors in the parameter values of the model.Due to clouds, remote sensing data are not available on a regular basis. Consequently they were not utilised as model input in the same sense as precipitation and temperature. When available, they were instead used to correct errors in the simulated snow pack. Model routines were developed to compare observed and simulated snow cover and to automatically make the corrections.For the evaluation, the data set was divided into two periods. The model was calibrated independently for each period and verified for the other. The results were contradictory and not conclusive. For the first period, the precipitation appeared to be systematically overestimated, which led to compensating errors in the parameter fitting and an erroneously modelled snow distribution. Attempts to correct the snow pack for the second period thus failed. For the second period, there were no apparent systematic errors in the precipitation input. After calibrating the model for this period, satellite data could be used to considerably improve the accuracy in the runoff simulations for the first period. The overestimation of precipitation and thereby the snow pack could be corrected for.The most effective way to overcome the problem of systematic errors in the input data for the calibration period is longer data records. Another possibility is more sophisticated calibration routines than the ones developed within this project. A grid by grid comparison of modelled and observed snow cover showed systematic deviations. It indicates that there are improvements to be made in the snow model, and that remote sensing data can be useful in such work

  • 9.
    Meier, Markus
    et al.
    SMHI, Research Department, Oceanography.
    Andréasson, Johan
    SMHI, Professional Services.
    Broman, Barry
    SMHI, Research Department, Climate research - Rossby Centre.
    Graham, Phil
    SMHI, Professional Services.
    Kjellström, Erik
    SMHI, Research Department, Climate research - Rossby Centre.
    Persson, Gunn
    SMHI, Professional Services.
    Climate change scenario simulations of wind, sea level, and river discharge in the Baltic Sea and Lake Mälaren region – a dynamical downscaling approach from global to local scales2006Report (Other academic)
    Abstract [en]

    A regional climate model (RCM) and oceanographic, hydrological and digital elevation models were applied to study the impact of climate change on surface wind, sea level, river discharge, and flood prone areas in the Baltic Sea region. The RCM was driven by two global models and two emission scenarios. According to the four investigated regional scenario simulations, wind speed in winter is projected to increase between 3 and 19% as an area average over the Baltic Sea. Although extremes of the wind speed will increase about as much as the mean wind speed, sea level extremes will increase more than the mean sea level, especially along the eastern Baltic coasts. In these areas projected storm events and global average sea level rise may cause an increased risk for flooding. However, the Swedish east coast will be less affected because mainly the west wind component in winter would increase and because land uplift would compensate for increased sea levels, at least in the northern parts of the Baltic. One of the aims of the downscaling approach was to investigate the future risk of flooding in the Lake Mälaren region including Stockholm city. In Stockholm the 100-year surge is projected to change between -51 and 53 cm relative to present mean sea level suggesting that in the city the risk of flooding from the Baltic Sea is relatively small because the critical height of the jetty walls will not be exceeded. Lake Mälaren lies just to the west of Stockholm and flows directly into the Baltic Sea to the east. This study addresses also the question of how the water level in Lake Mälaren may be affected by climate change by incorporating the following three contributing components into an analysis: 1) projected changes to hydrological inflows to Lake Mälaren, 2) changes to downstream water levels in the Baltic Sea, and 3) changes in outflow regulation from the lake. The first component is analyzed using hydrological modeling. The second and third components employ the use of a lake discharge model. An important conclusion is that projected changes to hydrological inflows show a stronger impact on lake levels than projected changes in water level for the Baltic Sea. Furthermore, an identified need for increased outflow capacity from the lake for the present climate does not diminish with projections of future climate change. The tools developed in this work provide valuable inputs to planning for both present and future operations of water level in Lake Mälaren. Based on the oceanographic and hydrological scenario simulations, flood prone areas were analysed in detail for two municipalities, namely Ekerö and Stockholm. The GIS analysis of both municipalities indicates a series of affected areas. However, in case of the 100-year flood (0.65 m above the mean lake level) in present climate or even in case of the maximum probable flood (1.48 m above the mean lake level) the potential risks will be relatively low.

  • 10.
    Persson, Gunn
    et al.
    SMHI, Professional Services.
    Graham, Phil
    SMHI, Professional Services.
    Andréasson, Johan
    SMHI, Professional Services.
    Meier, Markus
    SMHI, Research Department, Oceanography.
    Impact of Climate Change Effects on Sea-Level Rise in Combination with an Altered River Flow in the Lake Mälar Region: Conference Proceedings2004In: Fourth Study Conference on BALTEX: Conference Proceedings / [ed] Hans-Jörg Isemer, 2004, p. 172-173Conference paper (Other academic)
  • 11.
    Wetterhall, Fredrik
    et al.
    SMHI, Research Department, Hydrology.
    Graham, Phil
    SMHI, Research Department, Climate research - Rossby Centre.
    Andreasson, Johan
    SMHI, Professional Services.
    Rosberg, Jörgen
    SMHI, Research Department, Hydrology.
    Yang, Wei
    SMHI, Research Department, Hydrology.
    Using ensemble climate projections to assess probabilistic hydrological change in the Nordic region2011In: Natural hazards and earth system sciences, ISSN 1561-8633, E-ISSN 1684-9981, Vol. 11, no 8, p. 2295-2306Article in journal (Refereed)
    Abstract [en]

    Assessing hydrological effects of global climate change at local scales is important for evaluating future hazards to society. However, applying climate model projections to local impact models can be difficult as outcomes can vary considerably between different climate models, and including results from many models is demanding. This study combines multiple climate model outputs with hydrological impact modelling through the use of response surfaces. Response surfaces represent the sensitivity of the impact model to incremental changes in climate variables and show probabilies for reaching a priori determined thresholds. Response surfaces were calculated using the HBV hydrological model for three basins in Sweden. An ensemble of future climate projections was then superimposed onto each response surface, producing a probability estimate for exceeding the threshold being evaluated. Site specific impacts thresholds were used where applicable. Probabilistic trends for future change in hazards or potential can be shown and evaluated. It is particularly useful for visualising the range of probable outcomes from climate models and can easily be updated with new results as they are made available.

  • 12.
    Yang, Wei
    et al.
    SMHI, Research Department, Hydrology.
    Andreasson, Johan
    SMHI, Professional Services.
    Graham, Phil
    SMHI, Research Department, Climate research - Rossby Centre.
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    Rosberg, Jörgen
    SMHI, Research Department, Hydrology.
    Wetterhall, Fredrik
    SMHI, Research Department, Hydrology.
    Distribution-based scaling to improve usability of regional climate model projections for hydrological climate change impacts studies2010In: HYDROLOGY RESEARCH, ISSN 1998-9563, Vol. 41, no 3-4, p. 211-229Article in journal (Refereed)
    Abstract [en]

    As climate change could have considerable influence on hydrology and corresponding water management, appropriate climate change inputs should be used for assessing future impacts. Although the performance of regional climate models (RCMs) has improved over time, systematic model biases still constrain the direct use of RCM output for hydrological impact studies. To address this, a distribution-based scaling (DBS) approach was developed that adjusts precipitation and temperature from RCMs to better reflect observations. Statistical properties, such as daily mean, standard deviation, distribution and frequency of precipitation days, were much improved for control periods compared to direct RCM output. DBS-adjusted precipitation and temperature from two IPCC Special Report on Emissions Scenarios (SRESA1B) transient climate projections were used as inputs to the HBV hydrological model for several river basins in Sweden for the period 1961-2100. Hydrological results using DBS were compared to results with the widely-used delta change (DC) approach for impact studies. The general signal of a warmer and wetter climate was obtained using both approaches, but use of DBS identified differences between the two projections that were not seen with DC. The DBS approach is thought to better preserve the future variability produced by the RCM, improving usability for climate change impact studies.

1 - 12 of 12
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