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  • 41. Nijzink, R.C.
    et al.
    Almeida, S.
    Pechlivanidis, Ilias
    SMHI, Research Department, Hydrology.
    Capell, Réne
    SMHI, Research Department, Hydrology.
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Arheimer, Berit
    SMHI, Research Department, Hydrology.
    Parajka, J.
    Freer, J.
    Han, D.
    Wagener, T.
    van Nooijen, R.R.P.
    Savenije, H.H.G.
    Hrachowitz, M.
    Constraining Conceptual Hydrological ModelsWith Multiple Information Sources2018In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, no 10, p. 8332-8362Article in journal (Refereed)
    Abstract [en]

    The calibration of hydrological models without streamflow observations is problematic, and the simultaneous, combined use of remotely sensed products for this purpose has not been exhaustively tested thus far. Our hypothesis is that the combined use of products can (1) reduce the parameter search space and (2) improve the representation of internal model dynamics and hydrological signatures. Five different conceptual hydrological models were applied to 27 catchments across Europe. A parameter selection process, similar to a likelihood weighting procedure, was applied for 1,023 possible combinations of 10 different data sources, ranging from using 1 to all 10 of these products. Distances between the two empirical distributions of model performance metrics with and without using a specific product were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model. Significant reductions in the parameter space were obtained when combinations included Advanced Microwave Scanning Radiometer ‐ Earth Observing System and Advanced Scatterometer soil moisture, Gravity Recovery and Climate Experiment total water storage anomalies, and, in snow‐dominated catchments, the Moderate Resolution Imaging Spectroradiometer snow cover products. The evaporation products of Land Surface Analysis ‐ Satellite Application Facility and MOD16 were less effective for deriving meaningful, well‐constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources. Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.

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  • 42. Mangini, Walter
    et al.
    Viglione, Alberto
    Hall, Julia
    Hundecha, Yeshewatesfa
    SMHI, Research Department, Hydrology.
    Ceola, Serena
    Montanari, Alberto
    Rogger, Magdalena
    Salinas, Jose Luis
    Borzi, Iolanda
    Parajka, Juraj
    Detection of trends in magnitude and frequency of flood peaks across Europe2018In: Hydrological Sciences Journal, ISSN 0262-6667, E-ISSN 2150-3435, Vol. 63, no 4, p. 493-512Article in journal (Refereed)
  • 43. Jaramillo, Fernando
    et al.
    Cory, Neil
    Arheimer, Berit
    SMHI, Research Department, Hydrology.
    Laudon, Hjalmar
    van der Velde, Ype
    Hasper, Thomas B.
    Teutschbein, Claudia
    Uddling, Johan
    Dominant effect of increasing forest biomass on evapotranspiration: interpretations of movement in Budyko space2018In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 22, no 1, p. 567-580Article in journal (Refereed)
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  • 44.
    Olsson, Jonas
    et al.
    SMHI, Research Department, Hydrology.
    Berg, Peter
    SMHI, Research Department, Hydrology.
    Eronn, Anna
    SMHI, Research Department, Climate research - Rossby Centre.
    Simonsson, Lennart
    SMHI, Research Department, Hydrology.
    Södling, Johan
    SMHI, Professional Services.
    Wern, Lennart
    SMHI, Core Services.
    Yang, Wei
    SMHI, Research Department, Hydrology.
    Extremregn i nuvarande och framtida klimat Analyser av observationer och framtidsscenarier2018Report (Other academic)
    Abstract [sv]

    Studien har främst omfattat analyser av extrem korttidsnederbörd i observationer från SMHIs nät av automatiska meteorologiska stationer. Även analyser av korttidsnederbörd från kommunala mätare, manuella meteorologiska stationer, väderradar och klimatmodeller har genomförts. De huvudsakliga slutsatserna från detta uppdrag kan sammanfattas enligt följande.

    • En regionalisering av extrem korttidsnederbörd (skyfall) i Sverige gav fyra regioner: sydvästra (SV), sydöstra (SÖ), mellersta (M) och norra (N) Sverige. Ytterligare indelning kan göras men i denna studie prioriterades att ha regioner av denna storleksordning för att få ett ordentligt underlag för regional statistik. Regionaliseringen gäller enbart korttidsnederbörd, upp till maximalt 12 tim varaktighet.
    • Den regionala statistiken uppvisar tämligen distinkta geografiska skillnader, med högst värden i region SV och lägst i region N. Det är inte förvånande att vårt avlånga land uppvisar regionala skillnader då varmare och fuktigare luftmassor förekommer mer i söder än i norr, och därmed ökar förutsättningarna för intensiv nederbörd. Den regionala statistiken överensstämmer överlag väl med motsvarande statistik i våra grannländer.
    • Under perioden 1996-2017 finns inga tydliga tidsmässiga tendenser vad gäller skyfallens storlek och frekvens i de olika regionerna, utan dessa ligger överlag på en konstant nivå. Inte heller extrem dygnsnederbörd sedan 1900 uppvisar några tydliga tendenser på regional nivå. På nationell nivå indikeras en svag ökning av dels landets högsta årliga nederbörd sedan 1881, dels förekomsten av stora, utbredda 2-dygnsregn sedan 1961.
    • Skyfallsstatistik baserad på nederbördsobservationer från väderradar som justerats mot interpolerade stationsdata (HIPRAD) överensstämmer väl med stationsbaserad statistik för korta varaktigheter (upp till 2 tim) i södra Sverige. För längre varaktigheter och i mellersta och norra Sverige överskattar HIPRAD regnvolymerna.
    • Analyser av de senaste klimatmodellerna (Euro-CORDEX) indikerar en underskattning av extrema regnvolymer för korta varaktigheter (1 tim) men överlag en realistisk beskrivning av observerad skyfallsstatistik. Den framtida ökningen av volymerna beräknas ligga mellan 10% och 40% beroende på tidshorisont och koncentration av växthusgaser, vilket överlag ligger nära tidigare bedömningar.

    Både för bedömningen av regionala skillnader och historiska klimateffekter är det av största vikt att bibehålla, eller ännu hellre utöka, observationerna av korttidsnederbörd i Sverige. Nederbördsmätning via alternativa tekniker bör kunna användas i allt högre utsträckning framöver för förbättrad kunskap och statistik. Väderradar är redan etablerat och den digitala utvecklingen öppnar även möjligheter till insamling av nederbördsdata och relaterad information via mobilmaster, uppkopplade privata väderstationer, sociala medier, etc. Denna utveckling måste bevakas, utvärderas och i största möjliga utsträckning utnyttjas.

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  • 45. Merz, Bruno
    et al.
    Apel, Heiko
    Nguyen, Dung
    Falter, Daniela
    Guse, Björn
    Hundecha, Yeshewatesfa
    SMHI, Research Department, Hydrology.
    Kreibich, Heidi
    Schröter, Kai
    Vorogushyn, Sergiy
    From Precipitation to Damage: A Coupled Model Chain for Spatially Coherent, Large‐Scale Flood Risk AssessmentChapter 102018In: Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting: Geophysical Monograph 233. AGU Publication / [ed] Guy J-P. Schumann, Paul D. Bates, Heiko Apel, and Giuseppe T. Aronica., John Wiley & Sons, 2018, First Edition, p. 169-183Chapter in book (Other academic)
  • 46. Krysanova, Valentina
    et al.
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Gelfan, Alexander
    Gerten, Dieter
    Arheimer, Berit
    SMHI, Research Department, Hydrology.
    Hattermann, Fred
    Kundzewicz, Zbigniew W.
    How the performance of hydrological models relates to credibility of projections under climate change2018In: Hydrological Sciences Journal, ISSN 0262-6667, E-ISSN 2150-3435, Vol. 63, no 5, p. 696-720Article in journal (Refereed)
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  • 47. MacDonald, Matthew K.
    et al.
    Stadnyk, Tricia A.
    Dery, Stephen J.
    Braun, Marco
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Isberg, Kristina
    SMHI, Research Department, Hydrology.
    Arheimer, Berit
    SMHI, Research Department, Hydrology.
    Impacts of 1.5 and 2.0 degrees C Warming on Pan-Arctic River Discharge Into the Hudson Bay Complex Through 20702018In: Geophysical Research Letters, ISSN 0094-8276, E-ISSN 1944-8007, Vol. 45, no 15, p. 7561-7570Article in journal (Refereed)
  • 48.
    Amorim, Jorge Humberto
    et al.
    SMHI, Research Department, Air quality.
    Asker, Christian
    SMHI, Research Department, Air quality.
    Belusic, Danijel
    SMHI, Research Department, Climate research - Rossby Centre.
    Carvalho, Ana
    SMHI, Research Department, Air quality.
    Engardt, Magnuz
    SMHI, Research Department, Air quality.
    Gidhagen, Lars
    SMHI, Research Department, Air quality.
    Hundecha, Yeshewatesfa
    SMHI, Research Department, Hydrology.
    Körnich, Heiner
    SMHI, Research Department, Meteorology.
    Lind, Petter
    SMHI, Research Department, Climate research - Rossby Centre.
    Olsson, Esbjörn
    SMHI, Research Department, Meteorology.
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    Segersson, David
    SMHI, Research Department, Air quality.
    Strombäck, Lena
    SMHI, Research Department, Hydrology.
    Joe, Paul
    Baklanov, Alexander
    Integrated Urban Services for European cities: the Stockholm case2018In: WMO Bulletin, ISSN 0042-9767, Vol. 67, no 2, p. 33-40Article in journal (Refereed)
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  • 49. Raty, Olle
    et al.
    Räisänen, Jouni
    SMHI, Research Department, Climate research - Rossby Centre.
    Bosshard, Thomas
    SMHI, Research Department, Hydrology.
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Intercomparison of Univariate and Joint Bias Correction Methods in Changing Climate From a Hydrological Perspective2018In: Climate, ISSN 2053-7565, E-ISSN 2225-1154, Vol. 6, no 2, article id 33Article in journal (Refereed)
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  • 50. Verma, Siddhartha
    et al.
    Markus, Momcilo
    Bartosova, Alena
    SMHI, Research Department, Hydrology.
    Cooke, Richard A.
    Intra-Annual Variability of Riverine Nutrient and Sediment Loadings Using Weighted Circular Statistics2018In: Journal of environmental engineering, ISSN 0733-9372, E-ISSN 1943-7870, Vol. 144, no 3, article id 04018010Article in journal (Refereed)
  • 51. Ouarda, T. B. M. J.
    et al.
    Charron, C.
    Hundecha, Yeshewatesfa
    SMHI, Research Department, Hydrology.
    St-Hilaire, A.
    Chebana, F.
    Introduction of the GAM model for regional low-flow frequency analysis at ungauged basins and comparison with commonly used approaches2018In: Environmental Modelling & Software, ISSN 1364-8152, E-ISSN 1873-6726, Vol. 109, p. 256-271Article in journal (Refereed)
  • 52.
    Berg, Peter
    et al.
    SMHI, Research Department, Hydrology.
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Gustafsson, David
    SMHI, Research Department, Hydrology.
    Near-real-time adjusted reanalysis forcing data for hydrology2018In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 22, no 2, p. 989-1000Article in journal (Refereed)
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  • 53. Verma, Siddhartha
    et al.
    Bartosova, Alena
    SMHI, Research Department, Hydrology.
    Markus, Momcilo
    Cooke, Richard
    Um, Myoung-Jin
    Park, Daeryong
    Quantifying the Role of Large Floods in Riverine Nutrient Loadings Using Linear Regression and Analysis of Covariance2018In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 8, article id 2876Article in journal (Refereed)
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  • 54. Hansen, A. L.
    et al.
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Refsgaard, J. C.
    Karlsson, I. B.
    Simulation of nitrate reduction in groundwater - An upscaling approach from small catchments to the Baltic Sea basin2018In: Advances in Water Resources, ISSN 0309-1708, E-ISSN 1872-9657, Vol. 111, p. 58-69Article in journal (Refereed)
  • 55. Hattermann, F. F.
    et al.
    Vetter, T.
    Breuer, L.
    Su, Buda
    Daggupati, P.
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Fekete, B.
    Floerke, F.
    Gosling, S. N.
    Hoffmann, P.
    Liersch, S.
    Masaki, Y.
    Motovilov, Y.
    Mueller, C.
    Samaniego, L.
    Stacke, T.
    Wada, Y.
    Yang, T.
    Krysnaova, V.
    Sources of uncertainty in hydrological climate impact assessment: a cross-scale study2018In: Environmental Research Letters, ISSN 1748-9326, E-ISSN 1748-9326, Vol. 13, no 1, article id 015006Article in journal (Refereed)
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  • 56.
    Foster, Kean
    et al.
    SMHI, Research Department, Hydrology.
    Uvo, Cintia Bertacchi
    Olsson, Jonas
    SMHI, Research Department, Hydrology.
    The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers2018In: Hydrology and Earth System Sciences, ISSN 1027-5606, E-ISSN 1607-7938, Vol. 22, no 5, p. 2953-2970Article in journal (Refereed)
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  • 57.
    Wilk, Julie
    et al.
    SMHI, Research Department, Hydrology.
    Jonsson, Anna
    SMHI, Core Services.
    Rydhagen, Birgitta
    Rani, Ashu
    Kumar, Arun
    The perspectives of the urban poor in climate vulnerability assessments - The case of Kota, India2018In: Urban Climate, ISSN 2212-0955, E-ISSN 2212-0955, Vol. 24, p. 633-642Article in journal (Refereed)
  • 58.
    Lindström, Göran
    et al.
    SMHI, Research Department, Hydrology.
    Bartosova, Alena
    SMHI, Research Department, Hydrology.
    Hjerdt, Niclas
    SMHI, Core Services.
    Strömqvist, Johan
    SMHI, Research Department, Hydrology.
    Uppehållstider i ytvatten i relation tillvattenkvalitetNET, ett generellt uppskalningsverktyg2018Report (Other academic)
    Abstract [sv]

    NET är ett verktyg för uppskattning av vattenburen transport av olika ämnen i punkter där detsaknas mätningar. Verktyget togs ursprungligen fram inom forskningsprogrammet ”Climatechange and the Environmental Objectives” (CLEO, Munthe et al., 2014 och 2016). Tanken äratt NET ska vara generellt, och kunna användas för simulering av olika ämnen, men endastberäkna medelvärden över tiden av mängder och koncentrationer. Ofta är det mängder som ärslutmålet för en beräkning, varför det i vissa situationer kan finnas mycket att vinna på attanvända en enkel och snabb beräkningsmodell. Inom CLEO simulerades flöden av totalkväve,total-fosfor och totalt organiskt kol.

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  • 59. Gosling, Simon N.
    et al.
    Zaherpour, Jamal
    Mount, Nick J.
    Hattermann, Fred F.
    Dankers, Rutger
    Arheimer, Berit
    SMHI, Research Department, Hydrology.
    Breuer, Lutz
    Ding, Jie
    Haddeland, Ingjerd
    Kumar, Rohini
    Kundu, Dipangkar
    Liu, Junguo
    van Griensven, Ann
    Veldkamp, Ted I. E.
    Vetter, Tobias
    Wang, Xiaoyan
    Zhang, Xinxin
    A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 degrees C, 2 degrees C and 3 degrees C (vol 141, pg 577, 2017)2017In: Climatic Change, ISSN 0165-0009, E-ISSN 1573-1480, Vol. 141, no 3, p. 597-598Article in journal (Refereed)
  • 60. Eisner, S.
    et al.
    Floerke, M.
    Chamorro, A.
    Daggupati, P.
    Donnelly, Chantal
    SMHI, Research Department, Hydrology.
    Huang, J.
    Hundecha, Yeshewatesfa
    SMHI, Research Department, Hydrology.
    Koch, H.
    Kalugin, A.
    Krylenko, I.
    Mishra, V.
    Piniewski, M.
    Samaniego, L.
    Seidou, O.
    Wallner, M.
    Krysanova, V.
    An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins2017In: Climatic Change, ISSN 0165-0009, E-ISSN 1573-1480, Vol. 141, no 3, p. 401-417Article in journal (Refereed)
1234567 41 - 60 of 352
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