Reanalysis of Historical Climate Data for Key Atmospheric Features: Implications for Attribution of Causes of Observed Chan

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Description

This Climate Change Science Program Synthesis and Assessment Product addresses current capabilities to integrate observations of the climate system into a consistent description of past and current conditions through the method of reanalysis. In addition, the Product assesses present capabilities to attribute causes for climate variations and trends over North America during the reanalysis period, which extends from the mid-twentieth century to the present. This Product reviews the strengths and limitations of current atmospheric reanalysis products. It finds that reanalysis data play a crucial role in helping to identify, describe, and understand atmospheric features associated with weather and climate variability, ... continued below

Physical Description

xiv, 134 p. : col. ill.

Creation Information

U.S. Climate Change Science Program and the Subcommittee on Global Change Research 2008.

Context

This book is part of the collection entitled: Environmental Policy Collection and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 200 times , with 8 in the last month . More information about this book can be viewed below.

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Titles

  • Main Title: Reanalysis of Historical Climate Data for Key Atmospheric Features: Implications for Attribution of Causes of Observed Chan
  • Added Title: U.S. Climate Change Science Program Synthesis and Assessment Product 1.3
  • Series Title: Synthesis and Assessment Product

Description

This Climate Change Science Program Synthesis and Assessment Product addresses current capabilities to integrate observations of the climate system into a consistent description of past and current conditions through the method of reanalysis. In addition, the Product assesses present capabilities to attribute causes for climate variations and trends over North America during the reanalysis period, which extends from the mid-twentieth century to the present.
This Product reviews the strengths and limitations of current atmospheric reanalysis products. It finds that reanalysis data play a crucial role in helping to identify, describe, and understand atmospheric features associated with weather and climate variability, including high-impact events such as major droughts and floods. Reanalysis data play an important role in assessing the ability of climate models to simulate the average climate and its variations. The data also help in identifying deficiencies in representations of physical processes that produce climate model errors.

Physical Description

xiv, 134 p. : col. ill.

Notes

This Synthesis and Assessment Product described in the U.S. Climate Change Science Program (CCSP) Strategic Plan, was prepared in accordance with Section 515 of the Treasury and General Government Appropriations Act for Fiscal Year 2001 (Public Law 106-554) and the information quality act guidelines issued by the Department of Commerce and NOAA pursuant to Section 515 <http://www.noaanews.noaa.gov/stories/iq.htm>.

[harvested: 2009-09-08]

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  • : http://downloads.climatescience.gov/sap/sap1-3/sap1-3-final-all.pdf
  • Archival Resource Key: ark:/67531/metadc12019

Collections

This book is part of the following collection of related materials.

Environmental Policy Collection

The Environmental Policy Collection contains reports, policy documents, and media selected from local, statewide, national, and international organizations; government and private agencies; and scientific and research institutions. The collection also contains theses and dissertations relevant to environmental policy.

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Creation Date

  • 2008

Added to The UNT Digital Library

  • March 16, 2010, 3:46 p.m.

Description Last Updated

  • Oct. 6, 2010, 5:54 p.m.

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Citations, Rights, Re-Use

U.S. Climate Change Science Program and the Subcommittee on Global Change Research. Reanalysis of Historical Climate Data for Key Atmospheric Features: Implications for Attribution of Causes of Observed Chan, book, 2008; Washington, DC. (digital.library.unt.edu/ark:/67531/metadc12019/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .