• Catalogue PIGMA
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APACHE: Analysis of climate feedback PArameter Changes from Heat Evolution

This dataset provides an estimation of the climate feedback parameter and the climate sensitivity developed in collaboration by Magellium and LEGOS. It is based on the publication of Meyssignac et al., (2023, https://doi.org/10.1038/s43247-023-00887-2 ) .

The product is a crucial study on Effective Climate Sensitivity (ECS), focusing on the time variation of the climate feedback parameter (λ).

Understanding λ is fundamental as it quantifies the Earth’s radiative response to changes in global average temperature. A less negative λ directly implies a greater climate sensitivity to greenhouse gas concentrations.

The product addresses the high uncertainty in ECS by providing an observational estimate of λ temporal variations since 1970. Estimates are derived from the global energy balance equation, regressing the radiative response against temperature over periods longer than 25 years.

Users are primarily interested in the time series of λ and its associated uncertainties.

The input data for computing λ is provided in a secondary "extended product" for transparency, allowing users to rebuild the indicators.

The final product, available as a NetCDF file, can be downloaded in open access and is licensed for any project or study.

Simple

Date (Creation)
2025-02-23
Date (Publication)
2026-02-10
Identifier
a01-2024.006 / 1.0
Credit
CDS-AVISO
Status
completed Completed
Point of contact
  CDS-AVISO
Distributor
  CDS-AVISO
Originator
  Magellium
Originator
  LEGOS/CNES
funder
  CNES
funder
  ESA
Name
NetCDF-4
Version
CF1.7
Centre de données ODATIS
  • CDS-AVISO
Type de jeux de donnée ODATIS
  • /Observational data/satellite
Keywords
  • Manometric sea level anomalies
ODATIS aggregation parameters and Essential Variable names
  • Radiative flux
Use limitation
Open Licence
Access constraints
License
Use constraints
Other restrictions
Other constraints
Open Licence
Other constraints
"The Analysis of climate feedback PArameter Changes from Heat Evolution (APACHE) product (v1.0) is produced by Magellium and LEGOS/CNES teams and distributed by AVISO with support from CNES and ESA as part of the GIECCO project". Magellium, & LEGOS/CNES. (2026). Analysis of climate feedback PArameter Changes from Heat Evolution (APACHE) (Version 1) [Dataset]. CNES. https://doi.org/10.24400/527896/A01-2024.006
Spatial representation type
grid Grid
Metadata language
Français
Character set
utf8 UTF8
Topic category
  • Oceans
N
S
E
W
thumbnail


Begin date
1991-01-14
End date
2005-12-31

Vertical extent

Minimum value
0
Maximum value
0
Reference system identifier
EPSG / WGS 84 (EPSG:4326) / 7.4
Geometric object type
Complex
Distribution format
  • NetCDF-4 ( )

OnLine resource
Non authenticated access through HTTPS ( WWW:LINK )

OnLine resource

No information provided.
OnLine resource
APACHE: Analysis of climate feedback PArameter Changes from Heat Evolution ( WWW:LINK )

THREDDS

Protocol
WWW:LINK-1.0-http--publication-URL
Name
Main publication link
Description
Barnes, E. A., and R. J. Barnes, 2015: Estimating Linear Trends: Simple Linear Regression versus Epoch Differences. J. Climate, 28, 9969–9976
Function
Information
Protocol
WWW:LINK-1.0-http--publication-URL
Name
Main publication link
Description
Budyko, M. I.: The effect of solar radiation variations on the climate of the Earth, Tellus, 21, 611–619, 1969
Function
Information
Protocol
WWW:LINK-1.0-http--publication-URL
Name
Main publication link
Description
Chenal, J., Meyssignac, B., Ribes, A., and Guillaume-Castel, R.: Observational Constraint on the Climate Sensitivity to Atmospheric CO2 Concentrations Changes Derived from the 1971–2017 Global Energy Budget, J. Clim., 35, 4469–4483, 2022
Function
Information
Protocol
WWW:LINK-1.0-http--publication-URL
Name
Main publication link
Description
Forster, P. M. F., and J. M. Gregory, 2006: The Climate Sensitivity and Its Components Diagnosed from Earth Radiation Budget Data. J. Climate, 19, 39–52
Function
Information
Protocol
WWW:LINK-1.0-http--publication-URL
Name
Main publication link
Description
Gregory, J. M., Griffies, S. M., Hughes, C. W., Lowe, J. A., Church, J. A., Fukimori, I., Gomez, N., Kopp, R. E., Landerer, F., Cozannet, G. L., Ponte, R. M., Stammer, D., Tamisiea, M. E., and van de Wal, R. S. W.: Concepts and Terminology for Sea Level: Mean, Variability and Change, Both Local and Global, Surv. Geophys., 40, 1251–1289, 219
Function
Information
Protocol
WWW:LINK-1.0-http--publication-URL
Name
Main publication link
Description
Meyssignac, B., Chenal, J., Loeb, N., Guillaume-Castel, R., and Ribes, A.: Time-variations of the climate feedback parameter λ are associated with the Pacific Decadal Oscillation, Commun. Earth Environ., 4, 1–10, 2023
Function
Information
Protocol
WWW:LINK
Name
Web link (URL)
Description
User Guide
Function
Information
Protocol
WWW:LINK
Name
Web link (URL)
Description
Algorithm Theoretical Basis Document
Function
Information
OnLine resource
Digital Object Identifier (DOI) ( DOI )
Hierarchy level
Dataset
Statement

BARYSTATIC sea level changes are due to freshwater exchanges with the continents, including ice mass changes from Greenland, Antarctica and continental glaciers, as well as freshwater fluxes from continental areas (i.e. large river basins such as the Amazon or Mississippi).

MANOMETRIC sea level changes are due to several processes, including the atmosphere - ocean circulation, sea level fingerprints or global water cycle. Climate modes, such as the El Nino Southern Oscillation, Arctic Oscillation, North Atlantic Oscillation or Southern Annular Mode, have also been shown to significantly influence manometric sea level changes (e.g. Pfeffer et al., 2022).

The GRACE and GRACE Follow-On missions monitor the time-variations in the gravity field almost continuously since 2002. Numerous centers distribute time-lapse solutions of the Earth’s gravitational potential, delivered as Stokes coefficients, known as Level 2 solutions. The Level 2 solutions need to be corrected for several geophysical effects and instrumental errors, converted into surface mass anomalies and projected onto the ellipsoid. The resulting gridded surface mass anomalies with appropriate corrections applied are referred to as Level 3 solutions. Several sources of errors affect the solutions of Level 2 and 3, imposed by the satellite configuration, instrumental errors and uncertainties in the geophysical corrections used to process the measurements. We use the ensemble approach of Blazquez et al., (2018), to robustly estimate the manometric and barystatic sea level changes and their uncertainties.

References:

- Blazquez, A., Meyssignac, B., Lemoine, J.-M., Berthier, E., Ribes, A., Cazenave, A. (2018). Exploring the uncertainty in GRACE estimates of the mass redistributions at the Earth surface: implications for the global water and sea level budgets, Geophysical Journal International, 215 (1), 415–430, https://doi.org/10.1093/gji/ggy293

- Pfeffer, J., Cazenave, A. & Barnoud, A. (2022). Analysis of the interannual variability in satellite gravity solutions: detection of climate modes fingerprints in water mass displacements across continents and oceans. Clim Dyn 58, 1065–1084. https://doi.org/10.1007/s00382-021-05953-z

Description
Creation of the APACHE Climate Sensitivity product
Date / Time
V1.0 2025-02-23
Hierarchy level
Dataset
Processing level code
L4
File identifier
767eb90f-8aa3-4bfd-81ba-f0d74db02c9e XML
Metadata language
Français
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2026-09-22T09:22:05.744961Z
Metadata standard name
ISO 19115-3:2018 - Remote Sensing ISO 19115-3:2018 - Remote Sensing
Metadata standard version
1.0
 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


Keywords

Centre de données ODATIS
CDS-AVISO
ODATIS aggregation parameters and Essential Variable names
Radiative flux
Type de jeux de donnée ODATIS
/Observational data/satellite

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