DATA ACCESS, QUERYING AND ANALYSIS IN A DISTRIBUTED DATA INFORMATION FRAMEWORK SUPPORTING EARTH SYSTEM SCIENCE

摘要

Over the next decade, the NASA EOS platforms and other international and U.S. remote sensing missions will be observing the Earth's oceans, lands and atmosphere and collecting large volumes of data. Science and applications communities will have interest to access these diverse data sets with different goals and capabilities. To facilitate data access and on-line querying and analysis, different tools should be accessible and user-friendly data information system and support. For example, users will often desire to obtain information on the content of the data of interest before they proceed to order sets which may or may not serve their needs. At GMU we have developed the concept of an on-line Java enabled analysis and access engine as well as a working prototype termed the Virtual Domain Application Data Center or VDADC (see http://www.ceosr.gmu.edu/~vdadcp). The VDADC maintains global L3 data sets supporting interdisciplinary Earth science. As a follow-on, leveraging capabilities at GMU as well as at the Center for Ocean, Land, Atmosphere Studies (COLA) and the Goddard Distributed Active Archive Center (EOS-DAAC), we are presently developing a distributed data and services system designed to serve the seasonal to interannual communities which include El Nino and Monsoon studies, teleconnection effects, as well as TRMM scientists and regional experiments such as the South China Sea Monsoon Experiment. The system consists of a 3-node consortium with distributed functions and data and is part of NASA's Earth Science Information Partners (ESIP) federation. The information technology implementation involves the 3 nodes using a multitiered client-server architecture. Enhancements of the popular GrADS analysis package, science scenarios, data mining, friendly GUI and database systems implementations are components under development. We will present aspects of the project which include a three phase data access and querying implementation.