Issues in the Integration of Research and Operational Satellite Systems for Climate Research Part II. Implementation (2000) / Chapter Skim
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Data Systems
Data Systems
Pages 29-35
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From page 29... ...
The current focus of NPOESS on operational needs is certainly prudent from a programmatic standpoint, given the enormity of the space hardware segment and the very high data rates, and to impose the many additional requirements associated with climate research onto the current NPOESS operational system is probably impractical. Instead the committee sees the need for an autonomous infrastructure of data systems focusing on climate research rather than operational needs.
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From page 30... ...
These elements include a long-term archive for the lowest-level NPOESS data (raw data records or sensor data records) and a system architecture in which science teams are primarily responsible for the development of the algorithms needed to generate geophysical products, which are then archived and distributed by innovative data centers.
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From page 31... ...
Daily weather prediction and long-term climate monitoring have different requirements, and from both a cost and research perspective, the committee thinks it would be a mistake to burden the NPOESS operational weather prediction system with all the additional requirements associated with climate research. Rather, it encourages the research community and government agencies to take the initiative and begin planning for an NCDS.
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From page 32... ...
EOSDIS was designed to manage data from NASA's Earth science research satellites and field measurement programs, providing data archiving, distribution, and information management services. Through the EOSDIS Core System contractor, EOSDIS provided the necessary hardware and software to the DAACs to capture, process, and distribute data from the EOS satellites.
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From page 33... ...
A good paradigm for the NPOESS science teams is the NASA science team model that uses NASA research announcements to solicit proposals from the community at large. In this way, climate data sets will be produced in a peer-reviewed, competitive environment.
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From page 34... ...
In contrast, the NOAA data centers have a wider array of responsibilities, ranging from delivery of operational weather data to the National Weather Service, to the analysis and archiving of weather and climate data, physical oceanography data collected by ships and satellites, coastal observations, solar-terrestrial observations, and data related to glaciology, and even to marine geology and geophysics. However, rather than simply expanding and continuing the present modes of operation at the NASA and NOAA data centers, it is necessary to review the strengths and weaknesses of past performance with the objective of developing better approaches for handling the NPOESS data.
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From page 35... ...
· Science teams responsible for algorithm development, data set continuity, and calibration and validation should be selected via an open, peer-reviewed process (in contrast to the operational integrated data processing system and algonthms, which are being developed by sensor contractors for NPOESS)
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