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DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Summary
The primary goal of DCENT_MLE is to combine instrumental observations with physically realistic statistical models to produce maximum likelihood estimates of surface temperature anomalies and other physical
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Creation Date
2024-09-18
[Entry acronym: DCENT_MLE] [Entry id: -2000275] [ Score: 32.315353]
Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Identifier
doi:10.26050/WDCC/DCENT_MLE_v1_0
Summary
DCENT_MLE_v1.0 is a dataset of monthly gridded surface temperatures for the Earth during the instrumental period (since 1850). The name ‘DCENT_MLE_v1.0’ reflects the dataset’s use of maximum likelihood
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Authors
Calvert, Bruce
Keywords
  • El Niño
  • Temperature
  • amplification
  • bias-correction
  • climate change
Creation Date
2024-09-18
Temporal Coverage
1850-01 TO 2023-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
Additional Info
Status
completely archived
[Entry acronym: DCENT_MLE_v1_0] [Entry id: 5281178] [ Score: 22.647196]
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)
Summary
This text file describes minor modifications to the code of HadCRU_MLE_v1.2 (https://doi.org/10.26050/WDCC/HadCRU_MLE_v1.2) that were made after archiving the code, including to produce higher resolution
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)HadCRU_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit)
Creation Date
2024-09-27
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
447.36 KiB (458092 Byte)
Format
ascii
[Entry acronym: DCENT_MLE_update_v1_0] [Entry id: 5281192] [ Score: 1.9517925]
Code of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This additional information contains code and a folder structure that can be used to reproduce or update the DCENT_MLE_v1.0 dataset. The zip file contains a README text file with instructions on how to
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Creation Date
2024-09-26
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
106.43 KiB (108984 Byte)
Format
zip-file
[Entry acronym: DCENT_MLE_code_v1_0] [Entry id: 5281189] [ Score: 1.9491119]
Information Document of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This document provides details on the methodology of DCENT_MLE_v1.0 and gives an overview of key results.
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Creation Date
2024-09-26
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
336.17 KiB (344234 Byte)
Format
pdf
[Entry acronym: DCENT_MLE_info_v1_0] [Entry id: 5281191] [ Score: 1.9491072]
Amplification Function of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
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
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
  • Amplification Factor for Regions of Open Sea
  • Amplification Factor for Regions of Land or Sea Ice
Creation Date
2024-09-18
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
10.40 MiB (10900264 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_amp] [Entry id: 5281180] [ Score: 1.9297712]
Annual Time Series of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset includes global mean surface temperature anomalies for each year from 1850 to 2023. The impacts of sea ice concentrations and an internal variability pattern on surface temperature anomalies
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
  • surface_temperature_anomaly
  • Lower Bound of 95% Confidence Interval of Global Mean Surface Temperature Anomaly
  • Upper Bond of 95% Confidence Interval of Global Mean Surface Temperature Anomaly
  • Upper Bond of 95% Confidence Interval of Internal Variability Pattern Indices
  • Impact of Internal Variability Patterns on Global Mean Surface Temperature Anomaly
Creation Date
2024-09-18
Temporal Coverage
1850-01 TO 2023-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
2.44 MiB (2557971 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_ann] [Entry id: 5281181] [ Score: 1.9297712]
Estimates of Measurement and Sampling Uncertainties of the Land Surface Air Temperature Anomalies of the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset consists of estimates of standard errors of combined measurement and sampling uncertainties of land surface air temperature anomalies, corresponding to the DCLSAT anomalies used in the estimation
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
air_temperature_anomaly standard_error
Creation Date
2024-09-18
Temporal Coverage
1850-01 TO 2023-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
41.43 MiB (43443745 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_est] [Entry id: 5281190] [ Score: 1.9297712]
Gridded Climatology of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset is a mean surface temperature climatology for each calendar month and for each 5° latitude by 5° longitude grid cell of the Earth. The temperature climatology corresponds to the 1982-2014
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
surface_temperature
Creation Date
2024-09-18
Temporal Coverage
1982-01 TO 2014-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
49.85 MiB (52269378 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_grc] [Entry id: 5281182] [ Score: 1.9297712]
Gridded Monthly Data of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset includes local mean surface temperature anomalies for each month from 1850 to 2023 and for each 5° latitude by 5° longitude grid cell of the Earth. The impact of sea ice concentrations on
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
  • surface_temperature_anomaly
  • Lower Bound of 95% Confidence Interval of Surface Temperature Anomaly
  • Upper Bond of 95% Confidence Interval of Surface Temperature Anomaly
  • Impact of Sea Ice Concentrations on Surface Temperature Anomaly
  • Median Estimate of Impact of Sea Ice Concentrations on Surface Temperature Anomaly
Creation Date
2024-09-18
Temporal Coverage
1850-01 TO 2023-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
17.55 GiB (18840026660 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_grm] [Entry id: 5281183] [ Score: 1.9297712]
Internal Variability Patterns of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset consists of the gridded internal variability pattern used to estimate DCENT_MLE_v1.0 for each 5° latitude by 5° longitude grid cell of the Earth. The internal variability pattern corresponds well to the El Niño Southern Oscillation.
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
Internal Variability Pattern
Creation Date
2024-09-18
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
61.02 KiB (62485 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_int] [Entry id: 5281184] [ Score: 1.9297712]
Land Area Fractions of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset consists of the gridded land area fraction used to estimate DCENT_MLE_v1.0 for each 5° latitude by 5° longitude grid cell of the Earth.

The land area fraction is a derivative product based
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
land_area_fraction
Creation Date
2024-09-18
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
58.57 KiB (59972 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_lan] [Entry id: 5281185] [ Score: 1.9297712]
Model Parameters of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
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
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
  • Upper Bond of 95% Confidence Interval of Internal Variability Pattern Indices
  • Maximum Likelihood Estimate of Climatology Function Parameters
  • Maximum Likelihood Estimate of Temporal Correlation Parameter
  • Maximum Likelihood Estimate of Spatial Correlation Parameter
  • Maximum Likelihood Estimate of Variance Parameters
Creation Date
2024-09-18
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
426.63 MiB (447350291 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_mod] [Entry id: 5281186] [ Score: 1.9297712]
Monthly Time Series of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
This dataset includes global mean surface temperature anomalies for each month from 1850 to 2023. The impacts of sea ice concentrations and an internal variability pattern on surface temperature anomalies
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Variables
  • surface_temperature_anomaly
  • Lower Bound of 95% Confidence Interval of Global Mean Surface Temperature Anomaly
  • Upper Bond of 95% Confidence Interval of Global Mean Surface Temperature Anomaly
  • Upper Bond of 95% Confidence Interval of Internal Variability Pattern Indices
  • Impact of Internal Variability Patterns on Global Mean Surface Temperature Anomaly
Creation Date
2024-09-18
Temporal Coverage
1850-01 TO 2023-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
115.21 MiB (120804326 Byte)
Format
NetCDF
[Entry acronym: DCENT_MLE_v1_0_mon] [Entry id: 5281187] [ Score: 1.9297712]
Time Series Text Files of Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature (Version 1.0)
Summary
Time series of DCENT_MLE_v1.0 are also available as text files. These time series include estimates of global mean surface temperature anomalies, and estimates of the impacts of sea ice concentrations
Project
DCENT_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Dynamically Consistent Ensemble of Temperature)
Creation Date
2024-09-18
Temporal Coverage
1850-01 TO 2023-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
484.00 KiB (495615 Byte)
Format
ascii
[Entry acronym: DCENT_MLE_v1_0_tim] [Entry id: 5281188] [ Score: 1.9297712]