Statistics – Computation
Scientific paper
May 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agusmsm33d..04m&link_type=abstract
American Geophysical Union, Spring Meeting 2007, abstract #SM33D-04
Statistics
Computation
2447 Modeling And Forecasting, 2494 Instruments And Techniques, 2753 Numerical Modeling, 2794 Instruments And Techniques
Scientific paper
One of the great challenges for the emerging virtual observatories is to be able to help scientists to easily and routinely analyze many disparate data sets at the same time. This is of particular importance within the science of the Sun-Earth system: A given measurement rarely has much meaning on it's own - but must be considered within the wider context. For instance, observations of the polar ionosphere by (say) the EISCAT radar are fairly meaningless without accompanying knowledge of conditions within the Solar Wind (from the ACE spacecraft) to provide some sort of background for conditions within the magnetosphere. One way in which we can help to bridge the gap between the large number of different data sources is to use computer models of the Sun-Earth system to provide a fully global and time-dependent environment within which data can be assessed and understood. My talk will focus on this need to integrate global computational modeling into the virtual observatories. I will draw on my experiences developing an ionosphere-thermosphere modeling capability as part of the UK Astrogrid project. I will also look at new efforts to transition a coupled model of the Solar wind, magnetosphere and ionosphere to operational status, as part of the Center for Integrated Space Weather Modeling (CISM).
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