MapModeling:Community Portal
From MapModeling
Welcome to the MAP Modeling Community. This wiki will be used to develop documents that represent the community and organize the MAP community.
MAP: The Modeling, Analysis, and Prediction (MAP) Community is organized around the investigators in NASA's program in Earth system modeling. This effort is focused primarily on modeling the global environment, and has at its foundation evaluation and use of observations from NASA's Earth-observing satellites. The effort includes climate and weather modeling, and therefore, modeling of all of the major components of the Earth system - atmosphere, ocean, land, cryosphere, chemistry, aerosols.
NASA satellites take many measurements of the Earth. These data are essential for understanding weather, climate, and climate change. The MAP program is a critical element of this observing program. The models and observations work together. The observations are used in model evaluation, and model forecasts can also be used in quality assessment of new observations. A unique focus of MAP is research in data assimilation, which formally melds information from observations and models.
At the core of the MAP community are the Principal Investigators who were funded in 2005. The scope of the program was defined in a NASA Research Announcement.
The investigations awarded in 2005 were of two types. Multi-investigator and individual PI proposal. Practically, there was an intermediate type between these. These intermediate types addressed a specific scientific set of problems, in association with the multi-investigator proposals.
Here is a list of the Multi-investigator Proposals:
Jim Hansen
GISS Global Climate Model Development
Abstract GISS Climate Modeling
Michele Rienecker
Global Modeling and Assimilation – Systems and Data Synthesis to Advance NASA’s Exploration and Prediction of Earth’s Environment
Ron Gelaro
Atmospheric Data Assimilation Development
Gi-Kong Kim
Global Data Assimilation Products
John Marshall
Estimating the Climate and Circulation of the Ocean - ECCO II: High Resolution Global-Ocean and Sea-Ice Reanalysis
