Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales

Lindström, Göran; Pers, Charlotta; Rosberg, Jörgen; Strömqvist, Johan; Arheimer, Berit

doi:10.2166/nh.2010.007

Cited by 522 publications

(471 citation statements)

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“…It is based on the HYPE model code (Lindström et al 2010), which is dynamic, semi-distributed, processoriented, and based on well-known hydrological and nutrient transport concepts. Strömqvist et al 2012) and then modified using a step-wise, multi-basin calibration technique (Donnelly et al 2009).…”

Section: Methodsmentioning

confidence: 99%

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Climate Change Impact on Riverine Nutrient Load and Land-Based Remedial Measures of the Baltic Sea Action Plan

Arheimer

Dahné

Donnelly

2012

AMBIO

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To reduce eutrophication of the Baltic Sea, all nine surrounding countries have agreed upon reduction targets in the HELCOM Baltic Sea Action Plan (BSAP). Yet, monitoring sites and model concepts for decision support are few. To provide one more tool for analysis of water and nutrient fluxes in the Baltic Sea basin, the HYPE model has been applied to the region (called Balt-HYPE). It was used here for experimenting with land-based remedial measures and future climate projections to quantify the impacts of these on water and nutrient loads to the sea. The results suggest that there is a possibility to reach the BSAP nutrient reduction targets by 2100, and that climate change may both aggravate and help in some aspects. Uncertainties in the model results are large, mainly due to the spread of the climate model projections, but also due to the hydrological model.

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Section: Methodsmentioning

confidence: 99%

“…Recently, the HYPE model (Lindström et al 2010) was also applied for the entire Baltic Sea basin, i.e. Balt-HYPE (Donnelly Electronic supplementary material The online version of this article (doi:10.1007/s13280-012-0323-0) contains supplementary material, which is available to authorized users.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Impact on Riverine Nutrient Load and Land-Based Remedial Measures of the Baltic Sea Action Plan

Arheimer

Dahné

Donnelly

2012

AMBIO

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“…This system is based on the process-derived and semi-distributed Hydrological Predictions for the Environment (HYPE) code (Lindström et al, 2010), and it comprises the Swedish landmass, including transboundary river basins. The first S-HYPE was launched in 2008, but the system is continuously being improved and a new version is released every second year.…”

Section: Model Approach To the Past And The Futurementioning

confidence: 99%

Climate impact on floods: changes in high flows in Sweden in the past and the future (1911–2100)

Arheimer

Lindström

2015

Hydrol. Earth Syst. Sci.

134

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Abstract. There is an ongoing discussion whether floods occur more frequently today than in the past, and whether they will increase in number and magnitude in the future. To explore this issue in Sweden, we merged observed time series for the past century from 69 gauging sites throughout the country (450 000 km 2 ) with high-resolution dynamic model projections of the upcoming century. The results show that the changes in annual maximum daily flows in Sweden oscillate between dry and wet periods but exhibit no significant trend over the past 100 years. Temperature was found to be the strongest climate driver of changes in river high flows, which are related primarily to snowmelt in Sweden. Annual daily high flows may decrease by on average −1 % per decade in the future, mainly due to lower peaks from snowmelt in the spring (−2 % per decade) as a result of higher temperatures and a shorter snow season. In contrast, autumn flows may increase by +3 % per decade due to more intense rainfall. This indicates a shift in floodgenerating processes in the future, with greater influence of rain-fed floods. Changes in climate may have a more significant impact on some specific rivers than on the average for the whole country. Our results suggest that the temporal pattern in future daily high flow in some catchments will shift in time, with spring floods in the northern-central part of Sweden occurring about 1 month earlier than today. High flows in the southern part of the country may become more frequent. Moreover, the current boundary between snow-driven floods in northern-central Sweden and rain-driven floods in the south may move toward higher latitudes due to less snow accumulation in the south and at low altitudes. The findings also indicate a tendency in observations toward the modeled projections for timing of daily high flows over the last 25 years. Uncertainties related to both the observed data and the complex model chain of climate impact assessments in hydrology are discussed.

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“…Although the impact of changes in runoff and river loads and in Baltic Sea outflow properties is probably restricted to the southern coastal North Sea and the Skagerrak, respectively, a more consistent approach is needed to address the water and nutrient budget of the North Sea, one which should consider the entire land-ocean continuum. A new hydrological model, HYPE (HYdrological Predictions for the Environment; Lindström et al 2010;Arheimer et al 2012), was recently developed to calculate river flow and river-borne nutrient loads from all European catchment areas; this is known as E-HYPE. In the future, scenario simulations using HYPE should generate more consistent changes in water and nutrient budgets.…”

Section: Future Challengesmentioning

confidence: 99%

Projected Change—North Sea

Schrum

Lowe

Meier

et al. 2016

North Sea Region Climate Change Assessment

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Increasing numbers of regional climate change scenario assessments have become available for the North Sea. A critical review of the regional studies has helped identify robust changes, challenges, uncertainties and specific recommendations for future research. Coherent findings from the climate change impact studies reviewed in this chapter include overall increases in sea level and ocean temperature, a freshening of the North Sea, an increase in ocean acidification and a decrease in primary production. However, findings from multi-model ensembles show the amplitude and spatial pattern of the projected changes in sea level, temperature, salinity and primary production are not consistent among the various regional projections and remain uncertain. Different approaches are used to downscale global climate change impacts, each with advantages and disadvantages. Regardless of the downscaling method employed, the regional studies are ultimately affected by the forcing global climate models. Projecting regional climate change impacts on biogeochemistry and primary production is currently limited by a lack of consistent downscaling approaches for marine and terrestrial impacts. Substantial natural variability in the North Sea region from annual to multi-decadal time scales is a particular challenge for projecting regional climate change impacts. Natural variability dominates long-term trends in wind fields and strongly wind-influenced characteristics like local sea level, storm C. Schrum

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Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales

Cited by 522 publications

References 0 publications

Climate Change Impact on Riverine Nutrient Load and Land-Based Remedial Measures of the Baltic Sea Action Plan

Climate Change Impact on Riverine Nutrient Load and Land-Based Remedial Measures of the Baltic Sea Action Plan

Climate impact on floods: changes in high flows in Sweden in the past and the future (1911–2100)

Projected Change—North Sea

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