#DCENT
The paper describing the new DCENT-I dataset of monthly global surface temperature since 1850 is just published.

rmets.onlinelibrary.wiley.com/doi/10.1002/...
DCENT‐I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset
DCENT-I infills data gaps in DCENT, producing spatially coherent temperature fields (top) and a slightly higher GMST warming estimate (bottom). Top: December 1877 temperature anomalies (°C; 1961–1990...
rmets.onlinelibrary.wiley.com
February 13, 2026 at 11:08 AM
When they did that, Chan and colleagues found that early 20th century cold dip essentially vanished (red curve).

28/
November 22, 2024 at 9:38 AM
DCENT shows slow and steady warming up until the late 1940s, only for global (aerosol) dimming to kick in, which turns into global brightening at the beginning of the 1970s. Strong (linear) warming since. Note that current warming trend in DCENT is a tad lower due to gaps in polar regions.

(5/10)
December 26, 2024 at 11:28 AM
"A Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset | Scientific Data"

New global temperature data set: forget d(e)cent, this is awesome.

www.nature.com/articles/s41...
A Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset - Scientific Data
Scientific Data - A Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset
www.nature.com
August 30, 2024 at 1:48 PM
DCENT-I is a globally complete version of DCENT, the result of a major research effort led by Dr Duo Chan: starting as a PhD student at Harvard, continuing at WHOI, and now at the University of Southampton. DCENT adds to the ensemble of global surface temperature estimates.

wmo.int/news/media-c...
WMO confirms 2025 was one of warmest years on record
wmo.int
February 13, 2026 at 11:15 AM
2025 tied with 2023 as the second warmest surface temperatures. It was nominally the second warmest in NASA and DCENT datasets, and third warmest in NOAA, Hadley, Berkeley, Copernicus, JRA-3Q, and China-MST. In all cases uncertainties overlap with 2023.
January 14, 2026 at 2:53 PM
Some of the newer datasets like DCENT arguably better account for measurement changes and show less warming – such that the combination of human and natural forcings more or less fully explain observed warming without the need for multidecadal natural variability.
July 9, 2026 at 3:17 PM
We are including a number of additional surface temperature datasets, including DCENT (out of Harvard), the Japanese JRA-3Q reanalysis product, and the China-MST dataset. Here are the values for each, both as reported and using a common preindustrial baseline:
January 14, 2026 at 2:53 PM
Helpfully, a different paper (appearing a few months ago), may help resolve some of these issues.

Duo Chan and colleagues, published a new global temperature reconstruction leveraging additional techniques to constrain ocean biases.

nature.com/articles/s41...

26/
A Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset - Scientific Data
Scientific Data - A Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset
nature.com
November 22, 2024 at 9:38 AM
And DCENT-I - a new infilled global temperature dataset...

dcent-i.github.io
DCENT(-I)
dcent-i.github.io
January 16, 2026 at 8:43 AM
Reminder:

Today 8 datasets drop their 2025 analysis.

ECMWF (ERA5)
JMA (JRA-55)
NASA (JRA-55)
NOAA (NOAAGlobalTemp v5)
UK Met Office (HadCRUT.5.0.1.0)
Berkeley Earth
UK/USA (DCENT)
China (CMST)

I will add them below as they become available.

#ClimateLiteracy #ClimateCrisis
January 14, 2026 at 6:00 AM
Thanks! Here it is relative to "preindustrial" (1850-1900).

(since ERA5 does not go back that far, I used the difference between 1850-1900 and 1940-1969 from DCENT as an offset, i.e., ~0.25°C)
January 5, 2026 at 5:01 AM
Most 2025 global temperatures are now out (degrees C above 1850-1900 baseline)

1.41 HadCRUT5
1.44 Berkeley
1.46 JRA-3Q
1.47 Copernicus
1.53 DCENT-I

NOAA and NASA GISS values will be public at 2pm UK time and but based on already public Jan-Nov data they will likely be between 1.3 and 1.4 degC.
January 14, 2026 at 10:03 AM
Also, the DCENT team has recently produced an infilled version called DCENT-I. It has not yet passed peer review, but a preprint is available. eartharxiv.org/repository/v... Links to the dataset are available at Duo Chan's website. duochanatharvard.github.io
DCENT-I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset
eartharxiv.org
October 21, 2025 at 11:43 PM
DCENT is also not as warm during World War II as most other global temperature datasets. DCENT paper is here: doi.org/10.1038/s415...
November 20, 2024 at 4:23 PM
DCENT is actually DCENT-I, the globally complete “infilled” version of DCENT. More info can be found here dcent-i.github.io
January 14, 2026 at 4:18 PM
Corrections to the SST - DCENT uses a coastal SAT/SST matching to adjust among other changes @micefearboggis.bsky.social has more details.
January 11, 2025 at 3:07 AM
For want of sleep

A quick analysis of the new DCENT dataset with the help (for want of a better word) of ChatGPT.

diagrammonkey.wordpress.com/2024/09/03/f...
For want of sleep
A quick analysis of the new DCENT dataset with the help (for want of a better word) of ChatGPT.
diagrammonkey.wordpress.com
September 3, 2024 at 10:36 AM
September 29, 2026 at 10:21 AM
DCENT-I is a fairly new dataset and you can learn more about how it is constructed here: github.com/dcent-i

It shows slightly greater warming since 1850 than the other estimates, but all the global averages agree within their uncertainty ranges.
January 14, 2026 at 11:32 AM
Unamicamenys DCent
September 10, 2026 at 6:42 PM
Dataset providers on bsky:
HadCRUT5 @metoffice.gov.uk @uniofeastanglia.bsky.social
Berkeley @rarohde.bsky.social
Copernicus @copernicusecmwf.bsky.social
NASA @climateofgavin.bsky.social
NOAA @noaa.gov
DCENT-I @unisouthampton.bsky.social
JRA-3Q (Japanese Meteorological Agency)
January 14, 2026 at 10:03 AM
There are three new datasets this year. DCENT-I, CMA-GMST and CMST. They help to understand some of the structural uncertainty in global temperatures.
March 23, 2026 at 7:53 PM
And now the paper describing the open source software used to create DCENT-I is published too.

rmets.onlinelibrary.wiley.com/doi/10.1002/...
GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial int....
rmets.onlinelibrary.wiley.com
March 8, 2026 at 1:07 PM
Micefearboggis is aware of the infilled DCENT and very happy to see it.
October 24, 2025 at 8:12 AM