Codfish.smast.umassd.edu is a subdomain of umassd.edu, which was created on 1990-11-30,making it 33 years ago. It has several subdomains, such as lib.umassd.edu smast.umassd.edu , among others.
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Marine Ecosystem Dynamics Modeling Laboratory FVCOM Wiki | Support | Site Map HOME FVCOM RESEARCH NECOFS OUTREACH PUBLICATIONSLatest Job opening The College of Marine Science… The College of Marine Science, University […] Water Resources Engineer – Coastal Mode… Lynker is hiring a water resources engine […] Global-FVCOM forecast system in operation… Global-FVCOM forecast system was placed i […] Helping A Search for A Missing Student in… On December 31, 2013-New Year Eve, Dana D […] FVCOM user workshop We are proposing to host a FVCOM workshop […] Graduate education and postdoctoral resea… The FVCOM team welcome new users US-China joint center for polar researche… To enhance the US-China collaboration About MEDML The Marine Ecosystem Dynamics Modeling Laboratory (MEDML) at the School for Marine Science and Technology, University of Massachusetts-Dartmouth houses an active research team with focus on coastal and estuarine circulation, frontal dynamics, bio-physical interaction, suspended sediment processes, and ecosystem modeling. The University of Massachusetts School of Marine Science is also a graduate education center providing both M.S. and Ph.D. degreee training in the MEDML. We have successfully developed an unstructured grid, Finite-Volume, primitive equation Community Ocean Model (FVCOM) that is well suited for simulating the circulation and ecosystem dynamics from global to estuarine scales, particularly for regions characterized by irregular complex coastlines, islands, inlets, creeks, and inter-tidal zones. In collaboration with scientists at the Woods Hole Oceanographic Institution (WHOI), we are building an integrated high-resolution model system that is capable of hindcasts, nowcasts, and forecasts of circulation and key ecosystem processes in coastal oceans and estuaries. The major components of this system include: 1) a meso-scale meteorological model, 2) FVCOM, 3) a sediment model based on the Community Sediment Transport Model, 4) a generalized lower trophic level food web model, 5) multi-stage zooplankton models, and 6) the EPA-standard water quality model. A GUI has been developed for system operation and post-processing. In collaboration with scientists at Massachusetts Institute of Technology (MIT), we have implemented both ensemble and reduced Kalman filters into FVCOM to build a model-based observing and prediction coastal ocean system. MEDML is a high-performance computational center for ocean modeling equipped with a super performance Linux cluster. This multiprocessing computing facility has extended the research interests of MEDML to the global ocean. A FVCOM-based high resolution Atlantic Ocean Model,with full coupling between global and coastal systems, is being developed at MEDML. MEDML welcomes applications for graduate study from talented students in the fields of physical oceanography, biology, and fishery science. Students will receive solid training in both physical and ecosystem dynamics and an opportunity to participate in state of the art research in ocean sciences. Research Examples FVCOM Finite-Volume Community Ocean Model NECOFS US Northeast Coastal Ocean Forecast System Global FVCOM 35-year Global Hindcast Simulations Arctic FVCOM High-resolution Arctic Simulations South China Sea A global-China Sea Nested Model System Japan Tsunami A Tsunami Model Online Tide ForecastingOnline Tide ForecastingDownloads Download Center FVCOM downloads Data Center Documentation FVCOM Instruction Manual Services Open Source GPL Support Open Source GPL Links WHOI NOAA IOOS| Privacy | Terms of use | FVCOM @ MEDML. Designed by Dr. Chen &...
This Registry database contains ONLY .EDU domains. The data in the EDUCAUSE Whois database is provided by EDUCAUSE for information purposes in order to assist in the process of obtaining information about or related to .edu domain registration records. The EDUCAUSE Whois database is authoritative for the .EDU domain. A Web interface for the .EDU EDUCAUSE Whois Server is available at: http://whois.educause.edu By submitting a Whois query, you agree that this information will not be used to allow, enable, or otherwise support the transmission of unsolicited commercial advertising or solicitations via e-mail. The use of electronic processes to harvest information from this server is generally prohibited except as reasonably necessary to register or modify .edu domain names. Domain Name: UMASSD.EDU University of Massachusetts Dartmouth 285 Old Westport Road 285 Old Westport Road North Dartmouth, MA 02747-2300 USA Andrew Darling University of Massachusetts Dartmouth Computing & Information Technology Services 285 Old Westport Road North Dartmouth, MA 02747-2300 USA +1.5089998529 abuse@umassd.edu Michael Pacheco University of Massachusetts Dartmouth Computing & Information Technology Services 285 Old Westport Road North Dartmouth, MA 02747-2300 USA +1.5089106642 mike.p@umassd.edu NS2.UMASSD.EDU NS51.CONSTELLIX.NET NS41.CONSTELLIX.NET NS11.CONSTELLIX.COM NS21.CONSTELLIX.COM NS31.CONSTELLIX.COM NS61.CONSTELLIX.NET Domain record activated: 30-Nov-1990 Domain record last updated: 01-Jul-2022 Domain expires: 31-Jul-2025