Development and test of the distributed HBV-96 hydrological model

Lindström, Göran; Johansson, Barbro; Persson, Magnus; Gardelin, Marie; Bergström, Sten

doi:10.1016/s0022-1694(97)00041-3

Cited by 988 publications

(829 citation statements)

References 7 publications

Supporting

Mentioning

811

Contrasting

Unclassified

Order By: Relevance

“…The hydrological model used in this study was HBV (Bergström, 1992;Lindström et al, 1997), which is a conceptual rainfall runoff model that is widely used for flood forecasting and climate impact assessment both in operations and research (e.g. Lidén and Harlin, 2000;Olsson and Lindstrom, 2008;van Pelt et al, 2009;Arheimer et al 2011).…”

Section: Hydrological Modelling and Parameter Uncertaintymentioning

confidence: 99%

Modelling climate impact on floods with ensemble climate projections

Cloke

Wetterhall

et al. 2012

Quart J Royal Meteoro Soc

109

104

View full text Add to dashboard Cite

The evidence provided by modelled assessments of future climate impact on flooding is fundamental to water resources and flood risk decision making. Impact models usually rely on climate projections from global and regional climate models (GCM/RCMs). However, challenges in representing precipitation events at catchment-scale resolution mean that decisions must be made on how to appropriately pre-process the meteorological variables from GCM/RCMs. Here the impacts on projected high flows of differing ensemble approaches and application of Model Output Statistics to RCM precipitation are evaluated while assessing climate change impact on flood hazard in the Upper Severn catchment in the UK. Various ensemble projections are used together with the HBV hydrological model with direct forcing and also compared to a response surface technique. We consider an ensemble of single-model RCM projections from the current UK Climate Projections (UKCP09); multi-model ensemble RCM projections from the European Union's FP6 'ENSEMBLES' project; and a joint probability distribution of precipitation and temperature from a GCM-based perturbed physics ensemble.The ensemble distribution of results show that flood hazard in the Upper Severn is likely to increase compared to present conditions, but the study highlights the differences between the results from different ensemble methods and the strong assumptions made in using Model Output Statistics to produce the estimates of future river discharge. The results underline the challenges in using the current generation of RCMs for local climate impact studies on flooding.

show abstract

Section: Hydrological Modelling and Parameter Uncertaintymentioning

confidence: 99%

Modelling climate impact on floods with ensemble climate projections

Cloke

Wetterhall

et al. 2012

Quart J Royal Meteoro Soc

109

104

View full text Add to dashboard Cite

show abstract

“…This particularly applies to the extreme values (high and low) that may affect results of trend analysis in this work. The corrected runoff time series are used in hydrological modeling in the Gilgel Abbay in Rientjes et al (2011) and resulted in a Nash Sutcliffe efficiency of 0.85 when calibrating a modified version of the HBV-96 model (see Lindström et al, 1997) at daily base. We note that the stream flow gauge in the Gilgel Abbay catchment was relocated in 2005 but, to the knowledge of the authors, the rating curve has not been updated.…”

Section: Study Area and Data Sourcesmentioning

confidence: 99%

Changes in land cover, rainfall and stream flow in Upper Gilgel Abbay catchment, Blue Nile basin – Ethiopia

Rientjes

Haile

Kebede

et al. 2011

Hydrol. Earth Syst. Sci.

172

140

View full text Add to dashboard Cite

Abstract. In this study we evaluated changes in land cover and rainfall in the Upper Gilgel Abbay catchment in the Upper Blue Nile basin and how changes affected stream flow in terms of annual flow, high flows and low flows. Land cover change assessment was through classification analysis of remote sensing based land cover data while assessments on rainfall and stream flow data are by statistical analysis. Results of the supervised land cover classification analysis indicated that 50.9 % and 16.7 % of the catchment area was covered by forest in 1973 and 2001, respectively. This significant decrease in forest cover is mainly due to expansion of agricultural land.By use of a change detection procedure, three periods were identified for which changes in rainfall and stream flow were analyzed. Rainfall was analyzed at monthly base by use of the Mann-Kendall test statistic and results indicated a statistically significant, decreasing trend for most months of the year. However, for the wet season months of June, July and August rainfall has increased. In the period 1973-2005, the annual flow of the catchment decreased by 12.1 %. Low flow and high flow at daily base were analyzed by a low flow and a high flow index that is based on a 95 % and 5 % exceedance probability. Results of the low flow index indicated decreases of 18.1 % and 66.6 % for the periods 1982-2000 and 2001-2005 respectively. Results of high flows indicated an increase of 7.6 % and 46.6 % for the same periods. In this study it is concluded that over the period 1973-2005 stream flow has changed in the Gilgel Abbay catchment by changes in land cover and changes in rainfall.

show abstract

“…Two hydrological models were used in this study; the conceptual rainfall-runoff HBV Model (Lindström et al 1997) for the Baltic Basin and the physically based distributed WASIM Model (Schulla 1997) for the Rhine Basin. The two models were applied under substantially different considerations and scales.…”

Section: Hydrological Modellingmentioning

confidence: 99%

On interpreting hydrological change from regional climate models

et al. 2007

View full text Add to dashboard Cite

Although representation of hydrology is included in all regional climate models (RCMs), the utility of hydrological results from RCMs varies considerably from model to model. Studies to evaluate and compare the hydrological components of a suite of RCMs and their use in assessing hydrological impacts from future climate change were carried out over Europe. This included using different methods to transfer RCM runoff directly to river discharge and coupling different RCMs to offline hydrological models using different methods to transfer the climate change signal between models. The work focused on drainage areas to the Baltic Basin, the Bothnian Bay Basin and the Rhine Basin. A total of 20 anthropogenic climate change scenario simulations from 11 different RCMs were used. One conclusion is that choice of GCM (global climate model) has a larger impact on projected hydrological change than either selection of emissions scenario or RCM used for downscaling.

show abstract

Development and test of the distributed HBV-96 hydrological model

Cited by 988 publications

References 7 publications

Modelling climate impact on floods with ensemble climate projections

Modelling climate impact on floods with ensemble climate projections

Changes in land cover, rainfall and stream flow in Upper Gilgel Abbay catchment, Blue Nile basin – Ethiopia

On interpreting hydrological change from regional climate models

Contact Info

Product

Resources

About