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  • Koutroulis, Aristeidis G.
    et al.
    Papadimitriou, Lamprini V.
    Grillakis, Manolis G.
    Tsanis, Ioannis K.
    Wyser, Klaus
    SMHI, Forskningsavdelningen, Klimatforskning - Rossby Centre.
    Caesar, John
    Betts, Richard A.
    Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment2018Inngår i: Water, ISSN 2073-4441, E-ISSN 2073-4441, Vol. 10, nr 10, artikkel-id 1331Artikkel i tidsskrift (Fagfellevurdert)
  • Nijzink, R.C.
    et al.
    Almeida, S.
    Pechlivanidis, Ilias
    SMHI, Forskningsavdelningen, Hydrologi.
    Capell, Réne
    SMHI, Forskningsavdelningen, Hydrologi.
    Gustafsson, David
    SMHI, Forskningsavdelningen, Hydrologi.
    Arheimer, Berit
    SMHI, Forskningsavdelningen, Hydrologi.
    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 Sources2018Inngår i: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, nr 10, s. 8332-8362Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • Petersen, W.
    et al.
    Colijn, F.
    Gorringe, Patrick
    SMHI, Samhälle och säkerhet.
    Kaitala, S.
    Karlson, Bengt
    SMHI, Forskningsavdelningen, Oceanografi.
    King, A.
    Lips, U.
    Ntoumas, M.
    Seppälä, J.
    Sørensen, K.
    Petihakis, G.
    De La Villéon, L.P.
    Wehde, H.
    FERRYBOXES WITHIN EUROPE: STATE-OF-THE-ART AND INTEGRATION IN THE EUROPEAN OCEAN OBSERVATION SYSTEM (EOOS)2017Inngår i: OPERATIONAL OCEANOGRAPHY: Serving Sustainable Marine Development / [ed] Erik Buch, Vicente Fernández, Dina Eparkhina, Patrick Gorringe and Glenn Nolan, EuroGOOS. Brussels, Belgium , 2017, s. 63-70Konferansepaper (Annet vitenskapelig)
    Abstract [en]

    The development and use of FerryBox systems as a cost-effective instrument for continuous observations of the marine environment has been well established since more than 15 years. The systems have evolved to maturity and are since widely used around the coastal ocean of Europe. The availability of newly developed sensors allows the extension of FerryBox measurements to more biogeochemical parameters which are of interest for the requirements of the Marine Strategy Framework Directive (MSFD). The FerryBox community initially formed from the partners of an EU funded FerryBox project provides mutual exchange of experience and is now organized within EuroGOOS as a so called FerryBox Task Team (www.ferrybox.org). Within the EU funded infrastructure projects JERICO and JERICO-NEXT the technical harmonization as well as the developing of best practise guides for FerryBox systems have been a step further to high quality environmental data products. Within JERICO-NEXT it has been decided to build up a common FerryBox database and data portal in order to make the FerryBox data more available and visible. Furthermore this database will be function as a close link to the Copernicus Marine Environmental Monitoring Services (CMEMS) and the EMODnet portal.

  • Parajka, Juraj
    et al.
    Bezak, Nejc
    Burkhart, John
    Hauksson, Bjarki
    Holko, Ladislav
    Hundecha, Yeshewatesfa
    SMHI, Forskningsavdelningen, Hydrologi.
    Jenicek, Michal
    Krajci, Pavel
    Mangini, Walter
    Molnar, Peter
    Riboust, Philippe
    Rizzi, Jonathan
    Sensoy, Aynur
    Thirel, Guillaume
    Viglione, Alberto
    MODIS snowline elevation changes during snowmelt runoff events in Europe2019Inngår i: Journal of Hydrology and Hydromechanics, ISSN 0042-790X, E-ISSN 1338-4333, Vol. 67, nr 1, s. 101-109Artikkel i tidsskrift (Fagfellevurdert)
  • Karlsson, Karl-Göran
    et al.
    SMHI, Forskningsavdelningen, Atmosfärisk fjärranalys.
    Devasthale, Abhay
    SMHI, Forskningsavdelningen, Atmosfärisk fjärranalys.
    Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x2018Inngår i: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 10, nr 10, artikkel-id 1567Artikkel i tidsskrift (Fagfellevurdert)
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