Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2017
Authors
Valentina Krysanova Tobias Vetter Stephanie Eisner Shaochun Huang Ilias Pechlivanidis Michael Strauch Alexander Gelfan Rohini Kumar Valentin Aich Berit Arheimer Alejandro Chamorro Ann van Griensven Dipangkar Kundu Anastasia Lobanova Vimal Mishra Stefan Plötner Julia Reinhardt Ousmane Seidou Xiaoyan Wang Michel Wortmann Xiaofan Zeng Fred F. HattermannAbstract
An intercomparison of climate change impacts projected by nine regional-scale hydrological models for 12 large river basins on all continents was performed, and sources of uncertainty were quantified in the framework of the ISIMIP project. The models ECOMAG, HBV, HYMOD, HYPE, mHM, SWAT, SWIM, VIC and WaterGAP3 were applied in the following basins: Rhine and Tagus in Europe, Niger and Blue Nile in Africa, Ganges, Lena, Upper Yellow and Upper Yangtze in Asia, Upper Mississippi, MacKenzie and Upper Amazon in America, and Darling in Australia. The model calibration and validation was done using WATCH climate data for the period 1971–2000. The results, evaluated with 14 criteria, are mostly satisfactory, except for the low flow. Climate change impacts were analyzed using projections from five global climate models under four representative concentration pathways. Trends in the period 2070–2099 in relation to the reference period 1975–2004 were evaluated for three variables: the long-term mean annual flow and high and low flow percentiles Q10 and Q90, as well as for flows in three months high- and low-flow periods denoted as HF and LF. For three river basins: the Lena, MacKenzie and Tagus strong trends in all five variables were found (except for Q10 in the MacKenzie); trends with moderate certainty for three to five variables were confirmed for the Rhine, Ganges and Upper Mississippi; and increases in HF and LF were found for the Upper Amazon, Upper Yangtze and Upper Yellow. The analysis of projected streamflow seasonality demonstrated increasing streamflow volumes during the high-flow period in four basins influenced by monsoonal precipitation (Ganges, Upper Amazon, Upper Yangtze and Upper Yellow), an amplification of the snowmelt flood peaks in the Lena and MacKenzie, and a substantial decrease of discharge in the Tagus (all months). The overall average fractions of uncertainty for the annual mean flow projections in the multi-model ensemble applied for all basins were 57% for GCMs, 27% for RCPs, and 16% for hydrological models.
Authors
Hely Häggman Katja Karppinen Laura Zoratti Nga Nguyenquynh Priyanka Trivedi Anniina Lampinen Tuuli Aro Tejesvi Mysore Matti Mauramo Tuula Salo Meeri Sutinen Eivind Uleberg Inger Martinussen Stefan Martens Laura JaakolaAbstract
No abstract has been registered
Authors
Aniko Varnai Olav Aaseth Hegnar Dejan Petrovic Barry Goodell Gry Alfredsen Vincentius Gerardus Henricus EijsinkAbstract
No abstract has been registered
Authors
Inger Sundheim FløistadAbstract
No abstract has been registered
Authors
Inger Sundheim FløistadAbstract
No abstract has been registered
Authors
Gregory Taff Sophie MeierAbstract
Species invasions are a global problem that often must be dealt with at local levels. Addressing this problem generally requires mixing strategies, policies, and technologies and working with multiple stakeholder groups. Invasive plant species can cause various societal problems, such as reducing biodiversity by outcompeting native plants. One example of an invasive plant species that has proven very difficult to control is the giant hogweed (Norw. Kjempebjørnekjeks; Heracleum mantegazzianum).
Authors
Synnøve Rivedal Samson Øpstad Sverre Heggset Sissel Hansen Trond Børresen Torbjørn Haukås Johannes Deelstra Peter DörschAbstract
No abstract has been registered
Authors
Synnøve Rivedal Samson Øpstad Sverre Heggset Trond Børresen Torbjørn Haukås Sissel Hansen Peter Dörsch Johannes DeelstraAbstract
No abstract has been registered
Abstract
Shallow (<1 m deep) snowpacks on agricultural areas are an important hydrological component in many countries, which determines how much meltwater is potentially available for overland flow, causing soil erosion and flooding at the end of winter. Therefore, it is important to understand the development of shallow snowpacks in a spatially distributed manner. This study combined field observations with spatially distributed snow modelling using the UEBGrid model, for three consecutive winters (2013–2015) in southern Norway. Model performance was evaluated by comparing the spatially distributed snow water equivalent (SWE) measurements over time with the simulated SWE. UEBGrid replicated SWE development at catchment scale with satisfactory accuracy for the three winters. The different calibration approaches which were necessary for winters 2013 and 2015 showed the delicacy of modelling the change in shallow snowpacks. Especially the refreezing of meltwater and prohibited runoff and infiltration of meltwater by frozen soils and ice layers can make simulations of shallow snowpacks challenging.
Authors
Michael Roleda Udo Nitscke Anna Gietl Celine Rebours Jorunn Skjermo Hélène Marfaing Ronan Pierre Annelise Sabine Chapman Dagmar StengelAbstract
No abstract has been registered