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Bayesian Algorithm for Reconstructing Climate Anomalies in Space and Time
Entry ID: BARCAST


Summary
Abstract: Reconstructing the spatial pattern of a climate field through time from a data set of overlapping instrumental and climate proxy time series is a non-trivial statistical problem. The need to transform the proxy observations into estimates of the climate field, and the fact that the observed time series are not uniformly distributed in space, further complicate the analysis. Current leading ... View entire text
Related URL
Description: Download the Bayesian Algorithm for Reconstructing Climate Anomalies in Space and Time.
Service Citation
Originators: Tingley, M.P. and P. Huybers
Title: Bayesian Algorithm for Reconstructing Climate Anomalies in Space and Time
Release_Date: 2009
Provider: NOAA
URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/softlib/barcast/readme-barca...
Service Keywords
DATA ANALYSIS AND VISUALIZATION >STATISTICAL APPLICATIONS Parameter Definition
DATA MANAGEMENT/DATA HANDLING >TRANSFORMATION/CONVERSION Parameter Definition

Access Constraints None
Service Provider
WDC/PALEOCLIMATOLOGY, BOULDER > World Data Center for Paleoclimatology, Boulder Supplemental Info
Service Organization URL: http://www.ncdc.noaa.gov/paleo/

Service Provider Personnel
Name: WDC/PALEOCLIMATOLOGY, BOULDER
Phone: +1 (303) 497-6160
Fax: +1 (303) 497-6513
Email: paleo at noaa.gov
Contact Address:
World Data Center for Paleoclimatology
NOAA/NCDC Code E/GCx3
325 Broadway
City: Boulder
Province or State: CO
Postal Code: 80303
Country: USA
Distribution
Distribution Media: Online
Fees: No fees
Personnel
Role: TECHNICAL CONTACT
Email: tingley at fas.harvard.edu
Contact Address:
Department of Earth and Planetary Sciences
Harvard University
20 Oxford St.
City: Cambridge
Province or State: MA
Postal Code: 02138
Country: USA
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Creation and Review Dates
SERF Creation Date: 2013-03-18
SERF Last Revision Date: 2017-10-05


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