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

Calvert, Bruce

Dataset
Summary
This dataset consists of model parameters used to estimate the DCENT_MLE_v1.0 dataset. Users are encouraged to read the supporting information of “Improving global temperature datasets to better account for non-uniform warming” (https://doi.org/10.1002/qj.4791) to fully understand the meanings of these model parameters. 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)
Information Document of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Code of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
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
426.63 MiB (447350291 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2034-09-21
Download Permission
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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 estimated model parameters. In general, model parameters do not have spatial or temporal dimensions, although some parameters in the temperature anomaly model have associated months.
VariableUnit
Amplification Function Parameters
1
Climatology Function Parameters
1
Covariance Matrix of Maximum Likelihood Estimate of Parameters [B;r;k;z]
1
Covariance Matrix of Maximum Likelihood Estimate of Parameters [f;r;k;z;p]
1
Internal Variability Pattern Indices
degree_Celsius
Lower Bound of 95% Confidence Interval of Amplification Function Parameters
1
Lower Bound of 95% Confidence Interval of Climatology Function Parameters
1
Lower Bound of 95% Confidence Interval of Internal Variability Pattern Indices
degree_Celsius
Lower Bound of 95% Confidence Interval of Spatial Correlation Parameter
1
Lower Bound of 95% Confidence Interval of Spatial Correlation Parameters
1
Lower Bound of 95% Confidence Interval of Temporal Correlation Parameter
1
Lower Bound of 95% Confidence Interval of Theta
degree_Celsius
Lower Bound of 95% Confidence Interval of Theta and Internal Variability Pattern Indices
degree_Celsius
Lower Bound of 95% Confidence Interval of Variance Parameters
1
Maximum Likelihood Estimate of Amplification Function Parameters
1
Maximum Likelihood Estimate of Climatology Function Parameters
1
Maximum Likelihood Estimate of Internal Variability Pattern Indices
degree_Celsius
Maximum Likelihood Estimate of Spatial Correlation Parameter
1
Maximum Likelihood Estimate of Spatial Correlation Parameters
1
Maximum Likelihood Estimate of Temporal Correlation Parameter
1
Maximum Likelihood Estimate of Theta
degree_Celsius
Maximum Likelihood Estimate of Theta and Internal Variability Pattern Indices
degree_Celsius
Maximum Likelihood Estimate of Variance Parameters
1
Median Estimate of Amplification Function Parameters
1
Median Estimate of Climatology Function Parameters
1
Median Estimate of Internal Variability Pattern Indices
degree_Celsius
Median Estimate of Spatial Correlation Parameter
1
Median Estimate of Spatial Correlation Parameters
1
Median Estimate of Temporal Correlation Parameter
1
Median Estimate of Theta
degree_Celsius
Median Estimate of Theta and Internal Variability Pattern Indices
degree_Celsius
Median Estimate of Variance Parameters
1
Spatial Correlation Parameter
1
Spatial Correlation Parameters
1
Temporal Correlation Parameter
1
Theta
degree_Celsius
Theta and Internal Variability Pattern Indices
degree_Celsius
Upper Bond of 95% Confidence Interval of Amplification Function Parameters
1
Upper Bond of 95% Confidence Interval of Climatology Function Parameters
1
Upper Bond of 95% Confidence Interval of Internal Variability Pattern Indices
degree_Celsius
Upper Bond of 95% Confidence Interval of Spatial Correlation Parameter
1
Upper Bond of 95% Confidence Interval of Spatial Correlation Parameters
1
Upper Bond of 95% Confidence Interval of Temporal Correlation Parameter
1
Upper Bond of 95% Confidence Interval of Theta
degree_Celsius
Upper Bond of 95% Confidence Interval of Theta and Internal Variability Pattern Indices
degree_Celsius
Upper Bond of 95% Confidence Interval of Variance Parameters
1
Variance Parameters
1

Parent

Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Details
[Entry acronym: DCENT_MLE_v1_0_mod] [Entry id: 5281186]