Now showing items 1-14 of 14

    • Abrupt Climate and Weather Changes Across Time Scales 

      Lohmann, GerritORCIDiD; Butzin, MartinORCIDiD; Eissner, Nina; Shi, XiaoxuORCIDiD; Stepanek, ChristianORCIDiD (Paleoceanography and Paleoclimatology, 2020)
      The past provides evidence of abrupt climate shifts and changes in the frequency of climate and weather extremes. We explore the nonlinear response to orbital forcing and then consider climate millennial variability down ...
    • Carbon Dioxide and Methane Release Following Abrupt Thaw of Pleistocene Permafrost Deposits in Arctic Siberia 

      Knoblauch, ChristianORCIDiD; Beer, Christian; Schuett, Alexander; Sauerland, LewisORCIDiD; Liebner, SusanneORCIDiD; Steinhof, Axel; Rethemeyer, Janet; Grigoriev, Mikhail N.ORCIDiD; Faguet, Alexey; Pfeiffer, Eva‐Maria (Journal of Geophysical Research: Biogeosciences, 2021-11-01)
      The decomposition of thawing permafrost organic matter (OM) to the greenhouse gases (GHG) carbon dioxide (CO2) and methane forms a positive feedback to global climate change. Data on in situ GHG fluxes from thawing permafrost ...
    • Constraining Uncertainty in Projected Gross Primary Production With Machine Learning 

      Schlund, ManuelORCIDiD; Eyring, VeronikaORCIDiD; Camps‐Valls, Gustau; Friedlingstein, Pierre; Gentine, PierreORCIDiD; Reichstein, MarkusORCIDiD (Journal of Geophysical Research: Biogeosciences, 2020-11-21)
      The terrestrial biosphere is currently slowing down global warming by absorbing about 30% of human emissions of carbon dioxide (CO2). The largest flux of the terrestrial carbon uptake is gross primary production (GPP) ...
    • Efficiency and Accuracy of Micro-Macro Models for Mineral Dissolution 

      Gärttner, StephanORCIDiD; Frolkovic, Peter; Knabner, Peter; Ray, Nadja (Water Resources Research, 2020)
      Micro-macro models for dissolution processes are derived from detailed pore-scale models applying upscaling techniques. They consist of flow and transport equations at the scale of the porous medium (macroscale). Both ...
    • Exploring the Iron-Binding Potential of the Ocean Using a Combined pH and DOC Parameterization 

      Ye, Y.ORCIDiD; Völker, C.ORCIDiD; Gledhill, M.ORCIDiD (Global Biogeochemical Cycles, 2020)
      The major part of dissolved iron (DFe) in seawater is bound to organic matter, which prevents iron from adsorptive removal by sinking particles and essentially regulates the residence time of DFe and its availability for ...
    • Fuzzy map comparisons enable objective hydro‐morphodynamic model validation 

      Negreiros, BeatrizORCIDiD; Schwindt, SebastianORCIDiD; Haun, StefanORCIDiD; Wieprecht, SilkeORCIDiD (Earth Surface Processes and Landforms, 2021-11-18)
      Numerical modeling represents a state‐of‐the‐art technique to simulate hydro‐morphodynamic processes in river ecosystems. Numerical models are often validated based on observed topographic change in the form of pixel ...
    • Hyper-Resolution Continental-Scale 3-D Aquifer Parameterization for Groundwater Modeling 

      de Graaf, IngeORCIDiD; Condon, LauraORCIDiD; Maxwell, Reed (Water Resources Research, 2020)
      Groundwater is the world's most important freshwater resource. Despite this importance, groundwater flow and interactions between groundwater and other parts of the hydrological cycle are often neglected or simplified in ...
    • Modeling the Microwave Emission of Snow on Arctic Sea Ice for Estimating the Uncertainty of Satellite Retrievals 

      Rostosky, P.ORCIDiD; Spreen, G.ORCIDiD; Gerland, S.ORCIDiD; Huntemann, M.; Mech, M. (Journal of Geophysical Research: Oceans, 2020)
      Within a rapidly changing Arctic climate system, snow on sea ice is an important climate parameter. A common method to derive snow depth on an Arctic-wide scale is based on passive microwave satellite observations. However, ...
    • Modeling urban regions: Comparing random forest and support vector machines for cellular automata 

      Rienow, AndreasORCIDiD; Mustafa, AhmedORCIDiD; Krelaus, Leonie; Lindner, ClaudiaORCIDiD (Transactions in GIS, 2021-05-05)
      Cellular automat​on (CA) are important tools that provide insight into urbanization dynamics and possible future patterns. The calibration process is the core theme of these models. This study compares the performance of ...
    • Multiphysics Modeling of a Brittle-Ductile Lithosphere: 2. Semi-brittle, Semi-ductile Deformation and Damage Rheology 

      Jacquey, Antoine B.; Cacace, Mauro (Journal of Geophysical Research: Solid Earth, 2020)
      The brittle-ductile transition is a domain of finite extent characterized by high differential stress where both brittle and ductile deformation are likely to occur. Understanding its depth location, extent, and stability ...
    • Offshore Freshened Groundwater in Continental Margins 

      Micallef, AaronORCIDiD; Person, MarkORCIDiD; Berndt, ChristianORCIDiD; Bertoni, ClaudiaORCIDiD; Cohen, DenisORCIDiD; Dugan, BrandonORCIDiD; Evans, RobORCIDiD; Haroon, AmirORCIDiD; Hensen, ChristianORCIDiD; Jegen, MarionORCIDiD; Key, KerryORCIDiD; Kooi, HenkORCIDiD; Liebetrau, VolkerORCIDiD; Lofi, JohannaORCIDiD; Mailloux, Brian J.ORCIDiD; Martin‐Nagle, Renée; Michael, Holly A.ORCIDiD; Müller, ThomasORCIDiD; Schmidt, MarkORCIDiD; Schwalenberg, KatrinORCIDiD; Trembath‐Reichert, Elizabeth; Weymer, BradleyORCIDiD; Zhang, YipengORCIDiD; Thomas, Ariel T.ORCIDiD (Reviews of Geophysics, 2021-01-04)
      First reported in the 1960s, offshore freshened groundwater (OFG) has now been documented in most continental margins around the world. In this review we compile a database documenting OFG occurrences and analyze it to ...
    • ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package 

      Müller, Sebastian; Zech, Alraune; Heße, Falk (Groundwater, 2020-06-16)
      High‐performance numerical codes are an indispensable tool for hydrogeologists when modeling subsurface flow and transport systems. But as they are written in compiled languages, like C/C++ or Fortran, established software ...
    • Partitioning the Uncertainty of Ensemble Projections of Global Glacier Mass Change 

      Marzeion, BenORCIDiD; Hock, RegineORCIDiD; Anderson, Brian; Bliss, AndrewORCIDiD; Champollion, Nicolas; Fujita, KojiORCIDiD; Huss, MatthiasORCIDiD; Immerzeel, Walter W.ORCIDiD; Kraaijenbrink, Philip; Malles, Jan-Hendrik; Maussion, FabienORCIDiD; Radi?, Valentina; Rounce, David R.ORCIDiD; Sakai, AkikoORCIDiD; Shannon, Sarah; van de Wal, Roderik; Zekollari, HarryORCIDiD (Earth's Future, 2020)
      Glacier mass loss is recognized as a major contributor to current sea level rise. However, large uncertainties remain in projections of glacier mass loss on global and regional scales. We present an ensemble of 288 glacier ...
    • Sinking of Gelatinous Zooplankton Biomass Increases Deep Carbon Transfer Efficiency Globally 

      Lebrato, Mario; Pahlow, Markus; Frost, Jessica R.; Küter, Marie; de Jesus Mendes, Pedro; Molinero, Juan-Carlos; Oschlies, AndreasORCIDiD (Global Biogeochemical Cycles, 2019)
      Gelatinous zooplankton (Cnidaria, Ctenophora, and Urochordata, namely, Thaliacea) are ubiquitous members of plankton communities linking primary production to higher trophic levels and the deep ocean by serving as food and ...