English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  Predictability horizons in the global carbon cycle inferred from a perfect-model framework

Spring, A., & Ilyina, T. (2020). Predictability horizons in the global carbon cycle inferred from a perfect-model framework. Geophysical Research Letters, 47: e2019GL085311. doi:10.1029/2019GL085311.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0004-8276-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-8144-5
Genre: Journal Article

Files

show Files
hide Files
:
Spring_and_Ilyina_2019_code-master_2.zip (Supplementary material), 6MB
 
File Permalink:
-
Name:
Spring_and_Ilyina_2019_code-master_2.zip
Description:
Supplementary Material: Codes, Scripts - 1st version
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/zip
Technical Metadata:
Copyright Date:
-
Copyright Info:
The Authors
License:
-
:
Spring_and_Ilyina_2019_code-master_2nd_revisions.zip (Supplementary material), 6MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0005-E932-C
Name:
Spring_and_Ilyina_2019_code-master_2nd_revisions.zip
Description:
Supplementary Material: Codes, Scripts - 2nd version
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/zip / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
The Authors
License:
-
:
2019GL085311.pdf (Publisher version), 6MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0006-5AE2-6
Name:
2019GL085311.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-
:
grl60511-sup-0001-text_si-s01.pdf (Supplementary material), 25MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0006-5AEA-E
Name:
grl60511-sup-0001-text_si-s01.pdf
Description:
Supporting Information
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Spring, Aaron1, 2, Author                 
Ilyina, Tatiana2, Author                 
Affiliations:
1IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, ou_913547              
2Ocean Biogeochemistry, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_913556              

Content

show
hide
Free keywords: -
 Abstract: On interannual timescales the growth rate of atmospheric CO2 is largely controlled by the response of the land and ocean carbon sinks to climate variability. Yet, it is unknown to what extent this variability limits the predictability of atmospheric CO2 variations. Using perfect‐model Earth System Model simulations, we show that variations in atmospheric CO2 are potentially predictable for 3 years. We find a 2‐year predictability horizon for global oceanic CO2 flux with longer regional predictability of up to 7 years. The 2‐year predictability horizon of terrestrial CO2 flux originates in the tropics and midlatitudes. With the predictability of the isolated effects of land and ocean carbon sink on atmospheric CO2 of 5 and 12 years respectively, land dampens the overall predictability of atmospheric CO2 variations. Our research shows the potential of Earth System Model‐based predictions to forecast multiyear variations in atmospheric CO2.

Details

show
hide
Language(s): eng - English
 Dates: 2019-082020-04-202020-05-162020-05-16
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2019GL085311
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Geophysical Research Letters
  Abbreviation : GRL
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : American Geophysical Union / Wiley
Pages: - Volume / Issue: 47 Sequence Number: e2019GL085311 Start / End Page: - Identifier: ISSN: 0094-8276
CoNE: https://pure.mpg.de/cone/journals/resource/954925465217