Search for dissertations about: "physical oceanography"

Showing result 1 - 5 of 62 swedish dissertations containing the words physical oceanography.

  1. 1. Changes in the Freshwater System Distinguishing Climate and Landscape Drivers

    University dissertation from Stockholm : Department of Physical Geography, Stockholm University

    Author : Fernando Jaramillo; Stockholms universitet.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Budyko; evapotranspiration; freshwater; hydrology; hydroclimatic change; landscape change; land use; observation data; runoff; separation; water partitioning; water storage change; water use; worldwide; naturgeografi; Physical Geography;

    Abstract : Freshwater is a vital resource that circulates between the atmosphere, the land and the sea. Understanding and quantifying changes to the partitioning of precipitation into evapotranspiration, runoff and water storage change in the landscape are required for assessing changes to freshwater availability. READ MORE

  2. 2. Linking water and permafrost dynamics

    University dissertation from Stockholm : Department of Physical Geography, Stockholm University

    Author : Ylva Sjöberg; Stockholms universitet.; [2015]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; permafrost; hydrology; arctic; modeling; streamflow; geophysical measurements; ground thermal dynamics; groundwater; Physical Geography; naturgeografi;

    Abstract : The extent and dynamics of permafrost are tightly linked to the distribution and movement of water in arctic landscapes. As the Arctic warms more rapidly than the global average, profound changes are expected in both permafrost and hydrology; however, much is still not known about the interactions between these two systems. READ MORE

  3. 3. Model analysis of ocean carbon storage and transport across climate states

    University dissertation from Stockholm : Department of Meteorology, Stockholm University

    Author : Malin Ödalen; Stockholms universitet.; [2019]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Oceanography; Climate; Climate model; Carbon cycle; Paleoclimate; Atmospheric Sciences and Oceanography; atmosfärvetenskap och oceanografi;

    Abstract : The ocean carbon cycle plays a fundamental role in the Earth’s climate system, on decadal to multi-millennial timescales. Of the carbon held in the ocean, the atmosphere, and the terrestrial biosphere combined, more than 90% resides in the ocean. Carbon enters the surface ocean through air-sea gas exchange and from terrestrial sources. READ MORE

  4. 4. Use of remote sensing and in situ observations of the atmosphere in chemical transport models

    University dissertation from ; Chalmers tekniska högskola; Gothenburg

    Author : Emma Ward; [2019]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Climate; Air quality; Ground based observations; Satellite observations; Chemical transport modelling;

    Abstract : Measuring and simulating atmospheric chemical compositions helps us to better understand the impact from long-range transport of different pollutants. Aerosols and tropospheric ozone are examples of pollutants with life times long enough to get transported between continents. READ MORE

  5. 5. Solar Wind and Geomagnetic Activity - Predictions Using Neural Networks

    University dissertation from Lund Observatory, Lund University

    Author : Hans Gleisner; Lunds universitet.; Lund University.; [2000]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; magnetosphere; solar wind; space weather; geomagnetic activity; geomagnetism; ring current; auroral electrojet; neural networks; forecasting; Astronomy; space research; Astronomi; cosmic chemistry; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:2000:Gleisner;

    Abstract : This thesis shows how artificial neural networks (ANNs) can be applied to predict geomagnetic activity from solar-wind data. It introduces and summarizes five papers where development of ANN models are reported, and where predictions of geomagnetic activity are discussed. READ MORE