the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)
Abstract. Climate reanalyses are essential for studying climate variability, understanding climate processes, and initializing climate predictions. We present CoRea1860+ (Wang and Counillon, 2025, https://doi.org/10.11582/2025.00009), a 30-member coupled reanalysis spanning from 1860 to the present, produced using the Norwegian Climate Prediction Model (NorCPM) and assimilating sea surface temperature (SST) observations. NorCPM combines the Norwegian Earth System Model with the ensemble Kalman filter data assimilation method. SST, available throughout the entire period, serves as the primary source of instrumental oceanic measurements prior to the 1950s. CoRea1860+ belongs to the category of sparse-input reanalyses, designed to minimize artifacts arising from changes in the observation network over time. By exclusively assimilating oceanic data, this reanalysis offers valuable insights into the ocean’s role in driving climate system variability, including its influence on the atmosphere and sea ice. This study first describes the numerical model, SST dataset, and assimilation implementation used to produce CoRea1860+. It then provides a comprehensive evaluation of the reanalysis across four key areas: reliability, ocean variability, sea ice variability, and atmospheric variability, benchmarked against more than ten independent reanalyses and observational datasets. Overall, CoRea1860+ demonstrates strong reliability, particularly in observation-rich periods, and provides a reasonable representation of climate variability. It successfully captures key features such as multidecadal variability and long-term trends in ocean heat content, the Atlantic meridional overturning circulation, and sea ice variability in both hemispheres. Furthermore, CoRea1860+ aligns well with the other datasets for surface air temperature, precipitation, sea level pressure, and 500 hPa geopotential height, especially in the tropics where air-sea interactions are most pronounced.
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Status: open (until 06 May 2025)
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RC1: 'Comment on essd-2025-127', Anonymous Referee #1, 29 Apr 2025
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Review of essd-2025-127
"An ensemble-based coupled reanalysis of the climate from 1860 to the present (CoRea1860+)"
by Yiguo Wang et al.
submitted to Earth System Science Data
https://doi.org/10.5194/essd-2025-127
corresponding data archive: https://doi.org/10.11582/2025.00009General comments:
The authors present an analysis of their comprehensive reanalysis CoRea1860+, which is driven by SST observational products and covering almost the whole of the historical time period (in a climate science sense) from 1860 until the present. The manuscript in its present form is a rock solid data description manuscript, which should be published in ESSD. The corresponding dataset under https://doi.org/10.11582/2025.00009 is accessible to me.
I do have some comments below to improve or clarify some of the authors methodology and statements. I pledge the authors to consider them.abstract l.15f
"Furthermore, CoRea1860+ aligns well with the other datasets for surface air temperature, precipitation, sea level pressure, and 500 hPa geopotential height, especially in the tropics where air-sea interactions are most pronounced."
This statement appears a bit too optimistic, given the coarse resolution of the stratosphere and the missing atmosphere observations. In particular the authors' results concerning 500 hPa geopotential height, as good as they may be given the fact that only "SST" was assimilated, could be well improved with just some "truly" coupled reanalysis incorporating the few atmosphere observations, which are available prior to 1950.l.129f
"This version incorporates emissions and new aerosol-cloud interaction schemes..."l.132f
"the model employs the version 7 coupler"l.135
"The atmosphere component consists of 26 hybrid sigma–pressure levels, extending up to 3 hPa."
resolution of stratosphere?
QBO?l.138
"The NorESM used in this study is forced by CMIP5 historical forcings before 2005,"
Why not CMIP6 external forcings?
Expected differences from CMIP6 forcing?l.148ff
"Since 2011, the monthly SST data from the Optimum Interpolation SST version 2 (OISSTV2, Reynolds et al., 2002) are assimilated, because HadISST2.1 is only available until 2010."
Why not HadISST, which goes through until present?l.161f
"The SST data in the regions covered by sea ice are not assimilated. These regions are identified using the sea ice mask in HadISST2.1 or OISSTV2."
How does the model's observed sea ice extend comply with the observed sea ice? Biases?l.186f
"The climatology reference period is 1950-2009 covering a long observation-rich period."
This time period is strongly influenced by climate change signal. Would other time periods be a better choice?
I presume that only the satellite era represents an "observation-rich period" in terms of global SST coverage. Please comment on that.
Further below, the anomalies of OHC and AMOC are against 1950-2010.l.243
"RAPID"
Please add reference Moat et al. (2024) in this paragraph.l.299, Figure 1
Please make the legend smaller and moved up a bit to reveal all of the time series.l.337ff
4.2.1 Ocean heat content
Within this subsection, it is a bit confusing to jump forth and back several times between 0-300m OHC and 0-2000m OHC. Please consider to re-order the paragraphs so that 0-300m comes first and 0-2000m OHC second.l.384
Figure 3
Please consider to add the corresponding time periods as labels in plot, e.g. over Antarctica.l.405
4.2.2 Atlantic meridional overturning circulation
Please add a statement on absolute values for the AMOC, or the mean biases of the systems, in particular in context with Figure 4.
Please consider to depict AMOC cells as well, e.g. time mean and yearly standard deviation 1950-2010.l.454
Figure 6
Please consider to add the corresponding time periods as labels in plot, e.g. over Siberia.l.532
Figure 9-11
Please consider to add the corresponding time periods as labels in plot, e.g. over Antarctica.l.550ff
5 Conclusions
Please shortly discuss "shortcomings" or expectations in terms of missing atmosphere observations and the (I presume) rather coarse resolution in the stratosphere, which presumably inhibits QBO?l.562
Figure 9-12
Please consider to add the corresponding time periods as labels in plot, e.g. over Antarctica.l.571ff
"CoRea1860+ demonstrates a reasonable representation of the variability of OHC across different regions and depiction of AMOC variability."
Please comment on if the OHC characteristics could actually be expected to be well met by this assimilation approach, and on the absolute values of AMOC in context with the variability characteristics.l.587ff
"CoRea1860+ demonstrates reasonable variability in sea ice concentration and extent (SIE) for both the Arctic and Antarctic regions."
Similar comment as before: could the well met sea ice characteristics be expected or not from this assimilation approach?l.599f
"demonstrates reasonable atmospheric variability due to robust air-sea and air-sea ice interactions."
How does "reasonable" in this context compare with "reasonable" in the context above with OHC, AMOC, sea ice? The atmospheric characteristics are probably well worse than one would expect to get from a "truly" coupled RA including atmospheric observations?Citation: https://doi.org/10.5194/essd-2025-127-RC1 -
RC2: 'Reply on RC1', Anonymous Referee #1, 29 Apr 2025
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Correction to the previous comment:
Please do not consider any comments for l.129f and l.132f.
The comment to l.135 should read:
l.135
"The atmosphere component consists of 26 hybrid sigma–pressure levels, extending up to 3 hPa."
Does it properly resolve the stratosphere for a proper QBO?Citation: https://doi.org/10.5194/essd-2025-127-RC2
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RC2: 'Reply on RC1', Anonymous Referee #1, 29 Apr 2025
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Data sets
CoRea1860+: a coupled reanalysis of the climate from 1860 to the present Yiguo Wang and Francois Counillon https://doi.org/10.11582/2025.00009
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