A systematic review of sensitivities in the Swedish flood-forecasting system

Atmospheric Research

Volumn 100, Issue 2-3, 2011, Pages 275-284

  Arheimer, Berit ^a   Lindström, Göran ^a   Olsson, Jonas ^a  

^a SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

Author keywords

Error reduction; Forecasts; HBV; Hydrological modelling; Operational production; Runoff; Uncertainty

Indexed keywords

ERROR REDUCTION; FORECASTS; HBV; HYDROLOGICAL MODELLING; OPERATIONAL PRODUCTION; UNCERTAINTY;

CALIBRATION; COMPUTER SIMULATION; DATA PROCESSING; FLOOD CONTROL; FLOODS; GAMMA RAYS; RUNOFF; TIME SERIES ANALYSIS; WATER SUPPLY;

WEATHER FORECASTING;

COMPUTER SIMULATION; ERROR ANALYSIS; FLOOD FORECASTING; HYDROLOGICAL MODELING; RUNOFF; UNCERTAINTY ANALYSIS;

SWEDEN;

HEPATITIS B VIRUS;

EID: 79954629192     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2010.09.013     Document Type: Review

References (42)

1. Ajami N.K., Duan Q., Sorooshian S. An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resources Research 2007, 43:1-19. W01403. doi:10.1029/2005WR004745.
2. Ajami N.K., Duan Q., Sorooshian S. Reply to Comment by B. Renard et al. on "An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction". Water Resources Research 2009, 45. Article number: W03604 10. doi:10.1029/2008WR007215.
3. Andréasson J., Gyllander A., Johansson B., Källgården J., Lindell S., Olofsson J., Lundberg A. Snötaxering med georadar - Bättre vårflödesprognoser med HBV-modellen?. SMHI Reports Hydrology No. 87 2001, (in Swedish).
4. Bartholmes J.C., Thielen J., Ramos M.H., Gentilini S. The European flood alert system EFAS - Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrol and Earth System Sciences 2009, 13:141-153.
5. Bastola S., Ishidaira H., Takeuchi K. Regionalisation of hydrological model parameters under parameter uncertainty: a case study involving TOPMODEL and basins across the globe. Journal of Hydrology 2008, 357:188-206.
6. Beldring S., Engeland K., Roald L.A., Saelthun N.R., Voksö A. Estimation of parameters in a distributed precipitation-runoff model for Norway. Hydrology and Earth System Sciences 2003, 7:304-316.
7. Bergström S. Development and application of a conceptual runoff model for Scandinavian catchments. SMHI Reports RHO, No. 7, Norrköping 1976.
8. Bergström S., Brandt M. Snömätning med flygburen gammaspektrometer i Kultsjöns avrinningsområde 1980-1984. SMHI Reports HO No. 21, Norrköping 1984, (in Swedish).
9. Beven K.J., Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes 1992, 6:279-298.
10. Brandt M. Jämförelse mellan HBV- och PULS-modellerna. SMHI FoU-Notiser No. 53 1987, (in Swedish).
11. Brandt M. Bestämning av optimalt klimatstationsnät för hydrologiska prognoser. SMHI Reports Hydrology No. 18 1987, (in Swedish).
12. Brandt M. Snömätning med georadar och snötaxeringar i övre Luleälven. SMHI Reports Hydrology No. 33 1991, (in Swedish).
13. Breuer L., Huisman J.A., Willems P., Bormann H., Bronstert A., Croke B.F.W., Frede H.-G., Gräff T., Hubrechts L., Jakeman A.J., Kite G., Lanini J., Leavesley G., Lettenmaier D.P., Lindström G., Seibert J., Sivapalan M., Viney N.R. Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM). I: Model intercomparison with current land use. Advances in Water Resources 2009, 32:129-146.
14. Carlsson B., Lindström G. HBV-modellen och flödesprognoser. SMHI Reports Hydrology No. 85 2001, (in Swedish).
15. Carlsson B., Sjögren J. Uppdatering och hydrologiska långtidsprognoser - en jämförelse mellan olika metoder. Report No. 43, SMHI, Norrköping 2003, (in Swedish).
16. Das T., Bárdossy A., Zehe E., He Y. Comparison of conceptual model performance using different representations of spatial variability. Journal of Hydrology 2008, 356:106-118.
17. Gardelin M., Lindström G. Priestley-Taylor evapotranspiration in HBV-simulations. Nordic Hydrology 1997, 28(4/5):233-246.
18. Johansson B. Precipitation and temperature in the HBV model. A comparison of interpolation methods. SMHI Reports Hydrology No. 15 2000.
19. Johansson B., Edström M., Losjö K., Bergström S. Analys och beräkning av snösmältningsförlopp. SMHI Hydrology No. 75 1998.
20. Johansson B., Andreasson J., Jansson J. Satellite data on snow cover in the HBV model. Method development and evaluation. SMHI Reports Hydrology No. 90 2003.
21. Johansson B., Lindström G., Olsson J., Yacoub T., Haase G., Jacobsson K., Johnell A., Sanner H. Översvämningsprognoser i områden med ofullständiga data. Metodutveckling och utvärdering. SMHI Hydrology No. 104 2007, (in Swedish).
22. Killingtveit Å., Saelthun N.R., Taksdal S., von Hirsch R. Forbedret versjon av HBV-modellen. Proceedings, Nordic Hydrological Conference in Kalmar 1990. NHP-Report No. 26, Norrköping 1990.
23. Kronvang B., Behrendt H., Andersen H.E., Arheimer B., Barr A., Borgvang S.A., Bouraoui F., Granlund K., Grizzetti B., Groenendijk P., Schwaiger E., Hejzlar J., Hoffman L., Johnsson H., Panagopoulos Y., Lo Porto A., Reisser H., Schoumans O., Anthony S., Silgram M., Venohr M., Larsen S.E. Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments. Journal of Environmental Monitoring 2009, 11:572-583.
24. Kuczera G., Kavetski D., Franks S., Thyer M. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: characterising model error using storm-dependent parameters. Journal of Hydrology 2006, 331:161-177.
25. Langsholt E. Quantifying uncertainty in HBV runoff forecasts. Soumen ympäristökeskuksen moniste, No. 173, Helsinki 1999, K. Rantakokko, B. Vehvilainen (Eds.).
26. Langsholt E. Quantifying uncertainty in runoff forecasts: application to an HBV-model based forecasting and flood warning routine. Proceedings: European Conference on Advances in Flood Research, PIK Report No. 65, Potsdam, Germany 2000.
27. Larsson S., Lidén R. Stationstäthet och hydrologiska prognoser. SMHI Hydrology No. 68 1996, (in Swedish).
28. Li H., Luo L., Wood E.F., Schaake J. The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting. Journal of Geophysical Research 2009, 114:D04114.
29. Lindström G., Ottosson Löfvenius M. Tjäle och avrinning i Svartberget - studier med HBV-modellen. SMHI Hydrology No. 84 2000, (in Swedish).
30. Lindström G., Gardelin M., Johansson B., Persson M., Bergström S. HBV-96 - En areellt fördelad modell för vattenkrafthydrologin. SMHI Reports Hydrology No. 12 1996, (in Swedish).
31. Lindström G., Johansson B., Persson M., Gardelin M., Bergström S. Development and test of the distributed HBV-96 hydrological model. Journal of Hydrology 1997, 201:272-288.
32. McMillan H.K., Brasington J. End-to-end flood risk assessment: a coupled model cascade with uncertainty estimation. Water Resources Research 2008, 44:W03419.
33. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models. Part I - A discussion of principles. Journal of Hydrology 1970, 10(3):282-290.
34. Olsson J., Lindström G. Evaluation and calibration of operational hydrological ensemble forecasts in Sweden. Journal of Hydrology 2008, 350:14-24.
35. Olsson J., Lindström G., Johnell A., Jacobsson K. Hydrological ensemble forecasts. SMHI Reports Hydrology No. 21 2006.
36. Pappenberger F., Beven K.J., Hunter N.M., Bates P.D., Gouweleeuw B.T., Thielen J., De Roo A.P.J. Cascading model uncertainty from medium range weather forecasts (10days) through a rainfall-runoff model to flood inundation predictions with the European Flood Forecasting System (EFFS). Hydrology and Earth System Sciences 2005, 9:381-393.
37. Renard B., Kavetski D., Kuczera G. Comment on "An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction". Water Resources Research 2009, 45:1-10. W03603. doi:10.1029/2007WR006538.
38. Schoumans O., Silgram M., Groenendijk P., Bouraoui F., Andersen H.E., Krongvang B., Behrendt H., Arheimer B., Johnsson H., Panagopoulos Y., Mimikou M., Lo Porto A., Reisser H., Le Gall G., Barr A., Anthony S.G. Description of nine nutrient loss models: capabilities and suitability based on their characteristics. Journal of Environmental Monitoring 2009, 11:506-514.
39. Silgram M., Schoumans O.F., Walvoort D.J.J., Anthony S.G., Groenendijk P., Strömqvist J., Bouraoui F., Arheimer B., Kapetanaki M., Lo Porto A., Mårtensson K. Subannual models for catchment management: evaluating model performance on three European catchments. Journal of Environmental Monitoring 2009, 11:526-539.
40. Vehviläinen B. Snow cover models in operational watershed forecasting. The Water and Environment Research Institute, National Board of Waters and the Environment, Finland Publ. No. 11, Helsinki, Finland 1992.
41. Viney N.R., Croke B.F.W., Breuer L., Bormann H., Bronstert A., Frede H., Gräff T., Hubrechts L., Huisman J.A., Jakeman A.J., Kite G.W., Lanini J., Leavesley G., Lettenmaier D.P., Lindström G., Seibert J., Sivapalan M., Willems P. Ensemble modelling of the hydrological impacts of land use change. Int. Congress on Modelling and Simulation 2005, Melbourne, Vic., Aust. 2005, 2967-2973.
42. WMO, 1986. Intercomparison of models of snowmelt runoff. Operational Hydrology Report No. 23, WMO-No. 646, Geneva, Switzerland.