Peter Rogberg
Stockholm University
5 Papers
21 Citations
Peter Rogberg is an academic researcher from Stockholm University. The author has contributed to research in topics: Climate change & Drainage basin. The author has an hindex of 4, co-authored 4 publications.
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Papers
Evolution of the hydro-climate system in the Lake Baikal basin
Rebecka Törnqvist,Jerker Jarsjö,Jan Pietroń,Arvid Bring,Peter Rogberg,Shilpa M. Asokan,Georgia Destouni +6 more
TL;DR: In this paper, the authors identify long-term historical (1938-2009) and projected future hydro-climatic trends in the Selenga River Basin, which is the largest sub-basin (>60% inflow) of Lake Baikal.
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Implications of freshwater flux data from the CMIP5 multimodel output across a set of Northern Hemisphere drainage basins
Arvid Bring,Arvid Bring,Shilpa M. Asokan,Fernando Jaramillo,Jerker Jarsjö,Lea Levi,Lea Levi,Lea Levi,Jan Pietroń,Carmen Prieto,Peter Rogberg,Georgia Destouni +11 more
TL;DR: In this paper, the authors investigate the implications of CMIP5 multimodel ensemble output data for the freshwater system across a set of drainage basins in the Northern Hemisphere and find that the results of individual models vary widely, with even ensemble mean results differing greatly from observations and implying unrealistic long-term systematic changes in water storage and level within entire basins.
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Climate model performance and change projection for freshwater fluxes: Comparison for irrigated areas in Central and South Asia
TL;DR: In this paper, the authors evaluated the performance of the latitudes of the Mahanadi River Basin (MRB) and the semi-arid Aral Region in Central Asia.
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Variability in climate change simulations affects needed long-term riverine nutrient reductions for the Baltic Sea
TL;DR: A number of focused actions are needed to manage the effects of climate change on nutrient loads: reducing uncertainty in climate projections, deciding on frameworks to identify best performing models with respect to land surface hydrology, and increasing efforts at sustained monitoring of water flow changes.
Peer Review
Open Research Assessing atmospheric predictability on Mars using numerical weather prediction and data assimilation
TL;DR: In this paper , the intrinsic and practical predictability of the Martian atmosphere is determined by use of a comprehensive numerical circulation model and ensemble forecasting techniques, and the growth rate of forecast errors measured against the assimilated reanalysis were determined as a function of season during the period from the late martian year 24 to early 27 (from May 1999 to August 2004).