|From||Gunnar Spreen <email@example.com>|
|Tofirstname.lastname@example.org, email@example.com, "firstname.lastname@example.org" <email@example.com>, firstname.lastname@example.org|
|Date||Mon, 24 Feb 2020 14:27:07 +0100|
We are inviting applications for two 3-year PhD positions in remote sensing of sea ice at the Institute of Environmental Physics, University of Bremen, Germany.
Both positions are part of the joint collaborative research center (AC)3 – Arctic Amplification (www.ac3-tr.de) and will make use of the comprehensive observational dataset collected during MOSAiC – The International Arctic Drift Expedition (www.mosaic-expedition.org). A more detailed description of the positions and how to apply can be found here:
a) Satellite remote sensing of melt ponds and sea ice albedo
Satellite observations are used to evaluate surface albedo on larger spatial scales. The strongest changes in sea ice albedo is caused by melt ponds during summer. A melt pond and albedo satellite retrieval method will be adapted for current satellites like Sentinel-3. To quantify the changes of surface albedo and melt pond fraction, a long-term data series from current and previous satellite sensors will be developed and evaluated by in–situ observations during MOSAiC. The influence of spatial heterogeneities of surface properties on the radiative energy fluxes between ocean-sea ice-atmosphere will be evaluated, as well as how its temporal evolution from seasons to years affects radiative energy fluxes in different regions and ice regimes.
b) Lead fraction and sea ice surface roughness from Sentinel-1 SAR observations
Satellite data will be used together with model simulation from project partners to answer how sea-ice conditions (e.g., lead fraction, ice roughness) impact the air-ice/ocean momentum and energy exchange, and the atmospheric boundary layer and circulation in the Arctic. An Arctic–wide data set of lead fraction and surface roughness will be developed by extending and addition to an existing Sentinal-1 SAR method and adding data from new SAR sensors. Daily lead statistics including shape and direction will be derived and validated by MOSAiC data and airborne campaigns. The satellite data will be used for model evaluation and re-parametrization of refreezing open-water leads. Finally, the impact of leads and surface roughness on atmosphere (e.g., turbulent fluxes, surface energy budget, atmospheric stratification, clouds) and related feedbacks will be evaluated.
Why should you apply?
If you are interested in
Application deadline is 18 March 2020
We are looking forward to your application,
Gunnar Spreen, Ph.D.
University of Bremen - Institute of Environmental Physics
Otto-Hahn-Allee 1, 28359 Bremen, Germany
office: NW1 N3330
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