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Benno Blumenthal
The data library was conceptualized and created and updated by Benno Blumenthal - the data library was was ahead of time focussing on climate informatics. His work is elegant and reflects clarity of thought, simplicity and functionality. The Data Library reflects Benno’s generosity. He was particularly generous to an appreciative post-doctoral scientist who worked for the Sri Lanka and Maldives in so many ways. He passed away in 2018 well before his time. We remember him and his spirit guides our work.
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Foundation for Environment Climate and Technology
FECT Climate Data Library
The FECT Climate Data Library contains over 300 datasets from a variety of earth science disciplines and climate-related topics. It is a powerful tool that offers the following capabilities at no cost to the user:
access any number of datasets;
create analyses of data ranging from simple averaging to more advanced EOF analyses using the Ingrid Data Analysis Language;
monitor present climate conditions with maps and analyses in the
Maproom
;
create visual representations of data, including animations;
download data in a variety of commonly-used
formats
, including GIS-compatible formats.
Are you new to the world of climate data? Check out our
Introduction to Climate Data
page.
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New Datasets and Features
NOAA ESRL 20th Century Reanalysis Version 2 (extended)
NOAA ESRL 20th Century Reanalysis Version 2 six-hourly data for 1871-2008. The analysis is performed with the Ensemble Filter as described in Compo et al. (2006) based on the method of Whitaker and Hamill (2002). Observations of surface pressure and sea level pressure from the International Surface Pressure Databank station component version 2 (Gleason et al. 2008), ICOADS (Woodruff et al. 2009), and the International Best Track Archive for Climatic Stewardship (IBTrACS, Kruk et al. 2010) were assimilated every six hours.
The IRI Server now has a local copy of all the mean fields; the IRI copy of the spread will be extended as needed. This should address some of the performance problems we were having.
Published: Mon, 24 May 2010 14:39:02 GMT
TRMM_3B42 Precipitation Estimates
The combined instrument rain calibration algorithm (3B-42) uses an optimal combination of 2B-31, 2A-12, SSMI, AMSR and AMSU precipitation estimates (referred to as HQ), to adjust IR estimates from geostationary IR observations. Near-global estimates are made by calibrating the IR brightness temperatures to the HQ estimates.
Published: Tue, 23 Mar 2010 16:25:27 GMT
NOAA ESRL 20th Century Reanalysis Version 2
NOAA ESRL 20th Century Reanalysis Version 2 six-hourly data for 1891-2008. The analysis is performed with the Ensemble Filter as described in Compo et al. (2006) based on the method of Whitaker and Hamill (2002). Observations of surface pressure and sea level pressure from the International Surface Pressure Databank station component version 2 (Gleason et al. 2008), ICOADS (Woodruff et al. 2009), and the International Best Track Archive for Climatic Stewardship (IBTrACS, Kruk et al. 2010) were assimilated every six hours.
Published: Tue, 23 Mar 2010 15:45:27 GMT