HadCRU_MLE_v1.0_timeseries_monthly

hdl:21.14106/2d3ca1ef8e8cb15bbc3efdff0a2c25b27e731b9e

Calvert, Bruce T. T.

Dataset
Summary
HadCRU_MLE_v1.0_timeseries_monthly includes global mean surface temperature anomalies for each month from 1850 to 2018. Estimated temperature anomalies include the impact of an internal variability pattern as well as corrections for amplification bias and sea ice bias. The internal variability pattern corresponds well to the El Niño Southern Oscillation. Amplification bias is caused by not adequately accounting for the tendency of different regions of the planet to warm at different rates. Sea ice bias is caused by not adequately accounting for changes in sea ice coverage during the instrumental period.
The maximum likelihood estimation approach allows for the estimated global mean surface temperature anomalies to be temporally complete for the entire time period. Other information of HadCRU_MLE_v1.0_timeseries_monthly is also temporally complete.
Project
HadCRU_MLE (Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit)
Additional Information
HadCRU_MLE_v1.0_text_files
HadCRU_MLE_v1.0_code
HadCRU_MLE_v1.0_additional_info
Spatial Coverage
Longitude -180 to 180 Latitude -90 to 90
Temporal Coverage
1850-01-01 to 2018-12-31 (gregorian)
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
44.62 MiB (46786823 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2030-12-14
Download Permission
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Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Calvert, Bruce T. T. (2021). Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit (Version 1.0). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/HadCRU_MLE_v1

BibTeX RIS
Description
The quality of HadCRU_MLE_v1.0_timeseries_monthly has been approved by Bruce T. T. Calvert on November 30, 2020. HadCRU_MLE_v1.0_timeseries_monthly is a further derived product (classifying as a level 4 data processing level) derived from various source datasets, including land surface air temperature anomalies of HadCRUT4, sea surface temperature anomalies of HadSST4, sea ice coverage of HadISST2, land mask data of OSTIA, the surface temperature climatology of Jones et al. (1999), the sea surface temperature climatology of HadSST3, surface elevation data of GMTED2010, and climate model output of CCSM4 for a pre-industrial control scenario. 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
Due to the maximum likelihood estimation approach used, the estimated global mean surface temperature anomalies are temporally complete for the entire time period. Other information of HadCRU_MLE_v1.0_timeseries_monthly is also temporally complete. As a result, there are no missing values in the dataset.
Variable
surface_temperature_anomalyCF

Parent

Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit (Version 1.0)
Details

Parent project(s)

Maximum Likelihood Estimates of Temperatures using Data from the Hadley Centre and the Climate Research Unit

[Entry acronym: 3881466] [Entry id: 3881466]