Amplification Function of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)

hdl:21.14106/3b799ca9ed73328a4fd7d9e236ecabdb1e11a943

Calvert, Bruce

Dataset
Summary
This dataset consists of the estimated amplification function of DCENT_MLE_v1.0. The amplification function varies by 5° latitudinal band, surface type (open sea vs land/ice), and calendar month. The amplification function is intended to reflect the observed tendency of different regions to warm faster or slower relative to the global average. However, observed local amplification factors (i.e., how fast a location on the planet warms relative to the global average) may differ substantially from the estimated amplification functions. Results of sensitivity tests using alternate sea ice source datasets from the Japanese Meteorological Agency (COBE-SST2) and the National Snow and Ice Data Center (modified G10010v2 appended with G02202v4) are also available.
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Additional Information
Text File describing Updated Code of Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit (Version 1.2)
Code of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Information Document of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Spatial Coverage
Longitude -180 to 180 Latitude -90 to 90
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
10.40 MiB (10900264 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2034-09-21
Download Permission
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Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Calvert, Bruce (2024). Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/DCENT_MLE_v1_0

BibTeX RIS
Description
The quality of this dataset has been approved by Bruce T. T. Calvert on September 22, 2024. This dataset is a further derived product (classifying as a level 4 data processing level) derived from various source datasets, including land surface air temperatures of Chan, Gebbie and Huybers (2024), non-infilled DCLSAT, GHCNv4, and CRUTEM5; sea surface temperatures of DCSST; sea ice coverage of HadISST2; measurement and sampling uncertainties of CRUTEM5 and HadSST4; land mask data of OSTIAv2; surface elevation data of GMTED2010; and climate model output of CCSM4 for a pre-industrial control simulation. Sensitivity tests of DCENT_MLE_v1.0 use alternate sea ice source datasets (COBE-SST2, G10010v2, and G02202v4). These source datasets either have had extensive quality control or are themselves further derived products based on source datasets that have had extensive quality control.
Description
There are no missing values for the estimated amplification function. The estimated amplification function is spatially complete for all 5° latitudinal bands.
VariableUnit
Amplification Factor for Regions of Land or Sea Ice
1
Amplification Factor for Regions of Open Sea
1

Parent

Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Details

Parent project(s)

Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature

[Entry acronym: DCENT_MLE_v1_0_amp] [Entry id: 5281180]