The Goddard Earth Sciences Data and Information Services Center (GES DISC) has released Version 4.17 of the noted Giovanni data analysis and visualization system. A summary of the new features and data variables in this release is provided below.
Release Notes for Giovanni 4.17 (Release Date: 2015-11-23)
► Map visualization software has been migrated to increase performance: All Giovanni services that use Maps for visualization have been moved to a faster graphics rendering software package. Giovanni users will experience a faster loading time for services that use Maps.
► Time-Series w/ Linear Regression Line can be turned on from Plot Options. The plot shows only a linear regression line to aid with determination of a trend. Under Plot Options, the minimum and maximum values in the time-series are also provided. For actual regression line statistics for the two plotted variables, the time-series data should be downloaded and analyzed with appropriate statistical analysis tools. A linear regression trend line is not yet available for the Seasonal or Monthly time-series options.
Example of time-series with linear regression line:
Seasonal reduction in sea ice area occurring in summer in most regions of the Arctic Ocean has increased over the past several decades. One area in which this progression can be observed is in the Beaufort Sea north of Alaska and the Yukon and Northwest Territories of Canada. Shown below are time-series plots of the Fraction of sea-ice variable from the Modern Era Retrospective-analysis for Research and Applications (MERRA) data set for the Beaufort Sea region. The second plot shows the linear trend line. Click either time-series plot to view it larger.
The observed trend here is primarily due to the reduction in sea ice area occurring in summer. During the rest of the year, the area is ice-covered, so the fraction of sea ice is close to 1.0 (i.e., 100%).
New Data Variables
♦ More GLDAS_NOAH10 variables Version 2.0 (total of 120 variables)
♦ Several MERRA variables Version 5.2.0 (total of 85 variables)
♦ More variables from North American Land Data Assimilation System (NLDAS) Version 2.0 (total of 288 variables)