. "4 DATA COLLECTION AND MANAGEMENT." Global Energy and Water Cycle Experiment (GEWEX) Continental-Scale International Project: A Review of Progress and Opportunities. Washington, DC: The National Academies Press, 1998.
The following HTML text is provided to enhance online
readability. Many aspects of typography translate only awkwardly to HTML.
Please use the page image
as the authoritative form to ensure accuracy.
GCIP Global Energy and Water Cycle Experiment (GEWEX) Continental-Scale International Project: A Review of Progress and Opportunities
moving onto specific LSAs, it is important that science issues be the driving force for acquiring, archiving, and disseminating new GCIP data sets. This is the best way to ensure that GCIP science objectives are met.
The GCIP DMSS relies on the operational archives for very high data rate products, particularly raw data from the NEXRAD system for precipitation estimation. In fact, one of the prime drivers for GCIP being located in the Mississippi basin was the availability of data from these radars. Although these data are being archived, they are archived on an operational basis not designed for reprocessing of long time series of data from many radar sites. Retrieving a long time series of NEXRAD data from many sites is prohibitively expensive for GCIP or any other research project. The highest priority of this user's group should be to identify the levels of processing required, quality control issues, and practical schemes for the production, dissemination, and reprocessing of NEXRAD data.
Give Additional Attention to the Production, Archiving, and Dissemination of Remote Sensing Information
The GCIP-distributed DMSS relies heavily on operational systems subject to constraints and sometimes does not include GCIP data sets. Products that have not been derived as part of the operational system are not required to be archived and thus are not easily accessible through DMSS. The panel is particularly concerned that the Marshall Space Flight Center's DAAC has been closed, and no center has been identified to take over its responsibilities. Remote sensing information would be especially useful in supplementing in situ and model simulation data. In fact, some remote sensing information, such as the Normalized Difference Vegetation Index (NDVI) and snowcover, would be very useful in supplementing the in situ and model-assimilated data as more elaborate algorithms are developed to infer other land surface variables.
Investigate the Feasibility of Collecting Available Hydroclimatological Observations from Experimental Sites in Near Real Time
Field programs such as ARM, FIFE, and BOREAS have been invaluable for improving the quality of the models and data assimilation systems. However, except for the ARM site, no such data are available to the GCIP project as part of its standard operational archives. The information collected by these programs includes surface energy fluxes, soil moisture profiles, soil temperature profiles, planetary boundary-layer fluxes measured from towers, surface radiation measurements, and so forth, over the entire Mississippi basin. These flux measurements are a valuable resource for better parameterization of the surface and planetary boundary layers and for assimilation into operational models.