Reconstructions Improvements Using Iteratively Adjusted Statistics, Demonstrated Using Model-Output Annual SST Anomalies and Historical Sampling

Smith, Thomas M.

doi:10.1175/JTECH-D-16-0059.1

i

Reconstructions Improvements Using Iteratively Adjusted Statistics, Demonstrated Using Model-Output Annual SST Anomalies and Historical Sampling

2016
By Smith, Thomas M.

Details

Journal Title:

Journal of Atmospheric and Oceanic Technology
Personal Author:

Smith, Thomas M.
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CICSM (Cooperative Institute for Climate and Satellites Maryland)
Description:

Historical reconstructions of climate fields, such as sea surface temperature (SST), are important for climate studies and monitoring. Reconstructions use statistics from a well-sampled base period to analyze a sparsely sampled historical period. Here a method is shown for adjusting the base-period statistics using the available historical data so that statistics better represent historical variations.
Keywords:

Altimetry Microwave Observations Sea Level Waves, Oceanic Wind
Source:

Journal of Atmospheric and Oceanic Technology, 33(11), 2289-2303
DOI:

https://doi.org/10.1175/JTECH-D-16-0059.1
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

urn:sha256:e9c77dd7f7387c8cb6dc5097f76b1fbe10ad88ed92c922556f30bc75afd35bc3
Download URL:

https://repository.library.noaa.gov/view/noaa/41105/noaa_41105_DS1.pdf
File Type:

[PDF - 2.17 MB ]

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