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Supplementary data, code, and information for ‘Predictability of the recent slowdown and subsequent recovery of large-scale surface warming using statistical methods’ (Geophysical Research Letters, Mann et al. 2016)
Identification_Information:
Citation:
Citation_Information:
Originator:The Pennsylvania State University
Publication_Date:2016
Title:
Supplementary data, code, and information for ‘Predictability of the recent slowdown and subsequent recovery of large-scale surface warming using statistical methods’ (Geophysical Research Letters, Mann et al. 2016)
Other_Citation_Details:
Mann, M. E., B. A. Steinman, S. K. Miller, L. M. Frankcombe, M. H. England, and A. H. Cheung (2016), Predictability of the recent slowdown and subsequent recovery of large-scale surface warming using statistical methods, Geophysical Research Letters,43, 3459-3467, doi:10.1002/2016GL068159.
Online_Linkage: http://www.datacommons.psu.edu
Description:
Abstract: 
The temporary slowdown in large-scale surface warming during the early 2000s has been attributed to both external and internal sources of climate variability. Using semiempirical estimates of the internal low-frequency variability component in Northern Hemisphere, Atlantic, and Pacific surface temperatures in concert with statistical hindcast experiments, we investigate whether the slowdown and its recent recovery were predictable. We conclude that the internal variability of the North Pacific, which played a critical role in the slowdown, does not appear to have been predictable using statistical forecast methods. An additional minor contribution from the North Atlantic, by contrast, appears to exhibit some predictability. While our analyses focus on combining semiempirical estimates of internal climatic variability with statistical hindcast experiments, possible implications for initialized model predictions are also discussed.
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Time_Period_Information:
Single_Date/Time:
Calendar_Date:2016
Currentness_Reference: 
publication date
Keywords:
Theme:
Theme_Keyword_Thesaurus:ISO 19115 Topic Categories
Theme_Keyword:climatologyMeteorologyAtmosphere
Theme_Keyword:environment
Theme_Keyword:Climate
Theme_Keyword:climate variability
Access_Constraints:None.
Use_Constraints: 
The University excludes any and all implied warranties, including warranties or merchantability and fitness for a particular purpose.
The University makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance.
The University will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
The USER is granted permission to translate and add value to the FILES for the use of the FILES on its computer hardware; provided, however, that the USER annually notify the University of any customizing or value-adding work done.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person:Michael E. Mann
Contact_Organization:Penn State
Contact_Address:
Address_Type:mailing and physical address
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Electronic_Mail_Address:mem45@psu.edu
Contact Instructions: 
Michael E. Mann (Penn State), 591
Byron A. Steinman (University of Minnesota Duluth),
Sonya K. Miller (Penn State),
Leela M. Frankcombe (University of New South Wales),
Matthew H. England (University of New South Wales),
Anson H. Cheung (University of Arizona)
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:Penn State Data Commons
Contact_Address:
Address_Type:mailing and physical address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:(814) 865 - 8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Distribution_Liability: 
The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
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Metadata_Reference_Information:
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:Penn State Data Commons
Contact_Position:Metadata Coordinator
Contact_Address:
Address_Type:mailing address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:814-865-8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Metadata_Standard_Name:FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version:FGDC-STD-001-1998
Metadata_Time_Convention:local time
Metadata_Extensions:
Profile_Name:ESRI Metadata Profile
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