Template:CSDMS in the news
"Proposals submitted or due on or after January 18, 2011, must include a supplementary document of no more than two pages labeled “Data Management Plan”. This supplementary document should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results. We have identified two key points from NSF-EAR data and model sharing policy specifically, that PI’s can (partly) address by using CSDMS services. See how CSDMS can help out.
CSDMS Director James Syvitski has been elected AGU Fellow and will be honored at the Annual American Geophysical Union (AGU) meeting on December 16th, 2010. AGU Fellows are recognized for their outstanding contributions to the advancement of the geophysical sciences. The American Geophysical Union reserves this honor for less than 0.1% of their members every year.
Professor Syvitski’s has brought new science insights to the disciplines of oceanography, rivers and fjord processes, and the understanding of sediment transport. He approached these domains by building new quantitative connections; from glacier to fjord, and especially river fluxes into the world oceans. He used an experimentalist approach with development of numerical models and this lead to the first models that estimated the effects of climate change on river fluxes, to new insights in shelf drainage network reorganization and to recent new ideas of the effects of humans on sinking deltas.
AGU describes their scientists as “people who explore the surface, interior, oceans and atmosphere of Earth”. James fits the profile: he has jumped on tidewater glacier snouts, blasted deltas to investigate turbidity currents, collected invaluable oceanographic casts while his vessel was leaking because it crashed into an iceberg, chased away polar bears from interesting fjord sediments, and has seen the ocean floor up close in a deepwater submersible. Currently, he broadened his perspective and explores the Earth from satellite imagery. But even at the peak of his field activities, he started using numerical models to further investigate his new questions. Syvitski’s present research interest in moving the world of Earth Surface Dynamics Modeling forward by providing computational resources models as a means to explore and make predictions is a natural progression from the creative codes for river and delta processes built much earlier.
CSDMS and What it Means in the MARGINS context
CSDMS, pronounced “Systems”, stands for the Community Surface Dynamics
Modeling System. CSDMS deals with the Earth’s surface—the dynamic interface between the lithosphere, hydrosphere, cryosphere, and atmosphere. CSDMS is the virtual home for a diverse community of experts who foster and promote the modeling of earth surface processes, with emphasis on the movement of fluids, sediment and solutes in landscapes, seascapes and their sedimentary
basins. In essence CSDMS is about More...
CSDMS to use OpenMI to build a surface dynamics community
The Community Surface Dynamics Modeling System (CSDMS) has chosen the OpenMI interface as a central element in the framework being built. The OpenMI standard will be combined with the Common Component Architecture (CCA) to provide a platform that runs on More...
Ongoing Work with CSDMS
NCED provides the research—process understanding and initial algorithm development. The Community Surface Dynamics Modeling System (CSDMS), an NSF-funded project, focuses on modeling with an emphasis on large-scale modular numerical modeling. More...
New CU-Boulder Computer Cluster to Aid in Earth-Modeling Research
A new University of Colorado at Boulder-based supercomputer will vastly extend the ability of scientists across the globe in modeling and predicting many important aspects of Earth's surface processes, from glacial melting and flooding to coastal erosion and tropical ocean storms. The $750,000 cluster will support the National Science Foundation-funded Community Surface Dynamics Modeling System, or CSDMS, a library of computational tools used by scientists worldwide to model and predict natural and more...
