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  • 1. Franke, Jörg
    et al.
    Brönnimann, Stefan
    Bhend, Jonas
    Brugnara, Yuri
    A monthly global paleo-reanalysis of the atmosphere from 1600 to 2005 for studying past climatic variations2017In: Scientific Data, E-ISSN 2052-4463, Vol. 4Article in journal (Refereed)
    Abstract [en]

    Climatic variations at decadal scales such as phases of accelerated warming or weak monsoons have profound effects on society and economy. Studying these variations requires insights from the past. However, most current reconstructions provide either time series or fields of regional surface climate, which limit our understanding of the underlying dynamics. Here, we present the first monthly paleo-reanalysis covering the period 1600 to 2005. Over land, instrumental temperature and surface pressure observations, temperature indices derived from historical documents and climate sensitive tree-ring measurements were assimilated into an atmospheric general circulation model ensemble using a Kalman filtering technique. This data set combines the advantage of traditional reconstruction methods of being as close as possible to observations with the advantage of climate models of being physically consistent and having 3-dimensional information about the state of the atmosphere for various variables and at all points in time. In contrast to most statistical reconstructions, centennial variability stems from the climate model and its forcings, no stationarity assumptions are made and error estimates are provided.

  • 2.
    Jakobsson, Martin
    et al.
    Stockholms universitet, Institutionen för geologiska vetenskaper.
    Mayer, Larry A.
    Bringensparr, Caroline
    Stockholms universitet, Institutionen för geologiska vetenskaper.
    Castro, Carlos F.
    Stockholms universitet, Institutionen för geologiska vetenskaper.
    Mohammad, Rezwan
    Stockholms universitet, Institutionen för geologiska vetenskaper.
    Johnson, Paul
    Ketter, Tomer
    Accettella, Daniela
    Amblas, David
    An, Lu
    Arndt, Jan Erik
    Canals, Miquel
    Casamor, Jose Luis
    Chauche, Nolwenn
    Coakley, Bernard
    Danielson, Seth
    Demarte, Maurizio
    Dickson, Mary-Lynn
    Dorschel, Boris
    Dowdeswell, Julian A.
    Dreutter, Simon
    Fremand, Alice C.
    Gallant, Dana
    Hall, John K.
    Hehemann, Laura
    Hodnesdal, Hanne
    Hong, Jongkuk
    Ivaldi, Roberta
    Kane, Emily
    Klaucke, Ingo
    Krawczyk, Diana W.
    Kristoffersen, Yngve
    Kuipers, Boele R.
    Millan, Romain
    Masetti, Giuseppe
    Morlighem, Mathieu
    Noormets, Riko
    Prescott, Megan M.
    Rebesco, Michele
    Rignot, Eric
    Semiletov, Igor
    Tate, Alex J.
    Travaglini, Paola
    Velicogna, Isabella
    Weatherall, Pauline
    Weinrebe, Wilhelm
    Willis, Joshua K.
    Wood, Michael
    Zarayskaya, Yulia
    Zhang, Tao
    Zimmermann, Mark
    Zinglersen, Karl B.
    The International Bathymetric Chart of the Arctic Ocean Version 4.02020In: Scientific Data, E-ISSN 2052-4463, Vol. 7, no 1, article id 176Article in journal (Refereed)
    Abstract [en]

    Bathymetry (seafloor depth), is a critical parameter providing the geospatial context for a multitude of marine scientific studies. Since 1997, the International Bathymetric Chart of the Arctic Ocean (IBCAO) has been the authoritative source of bathymetry for the Arctic Ocean. IBCAO has merged its efforts with the Nippon Foundation-GEBCO-Seabed 2030 Project, with the goal of mapping all of the oceans by 2030. Here we present the latest version (IBCAO Ver. 4.0), with more than twice the resolution (200 x 200m versus 500 x 500m) and with individual depth soundings constraining three times more area of the Arctic Ocean (similar to 19.8% versus 6.7%), than the previous IBCAO Ver. 3.0 released in 2012. Modern multibeam bathymetry comprises similar to 14.3% in Ver. 4.0 compared to similar to 5.4% in Ver. 3.0. Thus, the new IBCAO Ver. 4.0 has substantially more seafloor morphological information that offers new insights into a range of submarine features and processes; for example, the improved portrayal of Greenland fjords better serves predictive modelling of the fate of the Greenland Ice Sheet. Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12369314

  • 3.
    Kluge, Mariana
    et al.
    Swedish Univ Agr Sci, Dept Forest Mycol & Plant Pathol, Sci Life Lab, Uppsala, Sweden..
    Wurzbacher, Christian
    Tech Univ Munich, Dept Civil Geo & Environm Engn, Munich, Germany..
    Wauthy, Maxime
    Univ Quebec Chicoutimi, Dept Sci Fondamentales, Saguenay, PQ, Canada.;Univ Laval, Ctr Northern Studies CEN, Quebec City, PQ, Canada..
    Clemmensen, Karina Engelbrecht
    Swedish Univ Agr Sci, Dept Forest Mycol & Plant Pathol, Sci Life Lab, Uppsala, Sweden..
    Hawkes, Jeffrey A.
    Uppsala universitet, Institutionen för kemi - BMC.
    Einarsdóttir, Karólina
    Uppsala universitet, Limnologi.
    Stenlid, Jan
    Swedish Univ Agr Sci, Dept Forest Mycol & Plant Pathol, Sci Life Lab, Uppsala, Sweden..
    Peura, Sari
    Swedish Univ Agr Sci, Dept Forest Mycol & Plant Pathol, Sci Life Lab, Uppsala, Sweden..
    Community composition of aquatic fungi across the thawing Arctic2021In: Scientific Data, E-ISSN 2052-4463, Vol. 8, no 1, article id 221Article in journal (Refereed)
    Abstract [en]

    Thermokarst activity at permafrost sites releases considerable amounts of ancient carbon to the atmosphere. A large part of this carbon is released via thermokarst ponds, and fungi could be an important organismal group enabling its recycling. However, our knowledge about aquatic fungi in thermokarstic systems is extremely limited. In this study, we collected samples from five permafrost sites distributed across circumpolar Arctic and representing different stages of permafrost integrity. Surface water samples were taken from the ponds and, additionally, for most of the ponds also the detritus and sediment samples were taken. All the samples were extracted for total DNA, which was then amplified for the fungal ITS2 region of the ribosomal genes. These amplicons were sequenced using PacBio technology. Water samples were also collected to analyze the chemical conditions in the ponds, including nutrient status and the quality and quantity of dissolved organic carbon. This dataset gives a unique overview of the impact of the thawing permafrost on fungal communities and their potential role on carbon recycling.

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