CSDMS organization: Difference between revisions

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Carl received his B.A from Amherst College and his Ph.D. from Massachusetts Institute of Technology/Woods Hole Oceanographic Institution. Carl is presently a Professor of Marine Science at the Virginia Institute for Marine Science. His long-term research goals are to better understand the fundamental aspects of coastal and estuarine physics which control sediment and other material fluxes at time-and length-scales important to geology, biogeochemistry, and ecology. His technical approach involves field work, analytical theory, numerical modeling and the intersection of all three in the utilization of coastal observation and prediction systems.
Carl received his B.A from Amherst College and his Ph.D. from Massachusetts Institute of Technology/Woods Hole Oceanographic Institution. Carl is presently a Professor of Marine Science at the Virginia Institute for Marine Science. His long-term research goals are to better understand the fundamental aspects of coastal and estuarine physics which control sediment and other material fluxes at time-and length-scales important to geology, biogeochemistry, and ecology. His technical approach involves field work, analytical theory, numerical modeling and the intersection of all three in the utilization of coastal observation and prediction systems.
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===Mike Ellis===
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[[image:Mike_Ellis.jpg|95px]]<br>
Mike Ellis<br>Department of Climate Change Science<br>British Geological Survey<br>Nottingham NG12 5GG<br>United Kingdom<br>Email: [mailto:Michael.Ellis@bgs.ac.uk Michael.Ellis@bgs.ac.uk]<br>Phone: +44 (0)115-936-3356<br>
|Dr. Michael Ellis, head of the department of Climate Change Science, BGS has his Ph.D. of Washington State University (1984) in active tectonics and its relation to landscape evolution.<br>Ellis also brings experience and a strong desire in marrying communities in order to fashion a coherent and useful understanding and implementation of landscape evolution. Ellis has specific experience in developing landscape evolution models in connection with analyses of real and model landscapes; these models have been among the first to incorporate tectonic drivers, bedrock landslides, and heterogeneous climate forcings. Ellis is recently investigating the development of analog models of mountainous topography as a function of base-level fall, an investigation that parallels and reflects some recent theoretical complexity models by others. Ellis also brings to the CSDMS effort a specific interest in the anthropocene and its relationship to both climate change and the environmental impacts of climate change.<br>Mike has served as Associate Editor for the J. Geophysical Research, Earth Surface, and Solid Earth, and the Geological Society of America journal, Geology, and is currently on the editorial board for Basin Research. He has served on numerous review panels, most recently for the European Science Foundation's Topo-Europe panel, the National Oceanographic Partnership Progra for Coastal Effects of a Diminished Ice Arctic Ocean.


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Revision as of 10:17, 15 February 2013

CSDMS Executive Committee

The Executive Committee is the primary decision-making body of the CSDMS, and meets twice a year to approve the annual science plan, the semi-annual reports, the management plan, budget, partner membership, and other day-to-day issues that arise in the running of the CSDMS. The Executive Committee also develops the By-Laws and Operational Procedures, to be approved by the Steering Committee. The Executive Committee develops and implements the 5-year Strategic Plan.

The Executive Committee further:

  1. Reviews proposals from Working Groups for development that are within the priorities of the Annual Science Plan and CSDMS mission;
  2. Ensures that CSDMS develops and maintains the capability to support collaborative proposals;
  3. Reviews the ongoing CSDMS business operations through regular meetings, teleconferences, AccessGrid sessions, electronic mail, etc.
  4. Ensures scientific progress in multiple areas of landscape-basin evolution (LBE) by providing the computational infrastructure needed for improved modeling;
  5. Ensures the connection of LBE research with related scientific thrusts of scientific computing and Geoinformatics through the establishment of strategic partnerships, and
  6. Ensures transparency of governance and intellectual involvement of community via reasonable criteria for partner membership and a mechanism that allows community input.