The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
An Ensemble Data Set of Sea Surface Temperature Change From 1850: The Met Office Hadley Centre HadSST.4.0.0.0 Data Set
Abstract
One of the largest sources of uncertainty in estimates of global temperature change is that associated with the correction of systematic errors in sea surface temperature (SST) measurements. Despite recent work to quantify and reduce these errors throughout the historical record, differences between analyses remain larger than can be explained by the estimated uncertainties. We revisited the method used to estimate systematic errors and their uncertainties in version 3 of the Met Office Hadley Centre SST data set, HadSST. Using comparisons with oceanographic temperature profiles, we make estimates of biases associated with engine room measurements and insulated buckets and constrain the ranges of two of the more uncertain parameters in the bias estimation: the timing of the transition from uninsulated to insulated buckets in the middle twentieth century and the estimated fractions of different measurement methods used. Here, we present HadSST.4.0.0.0, based on release 3.0.0 and 3.0.1 of the International Comprehensive Ocean‐Atmosphere Data Set supplemented by drifting buoy measurements from the Copernicus Marine Environmental Monitoring Service. HadSST.4.0.0.0 comprises a 200‐member “ensemble” in which uncertain parameters in the SST bias scheme are varied to generate a range of adjustments. The evolution of global average SST in the new data set is similar to that in other SST data sets, and the difference between data sets is reduced during the middle twentieth century. However, the changes also highlight a discrepancy in the global‐average difference between adjusted SST and marine air temperature in the early 1990s and hence between HadSST.4.0.0.0 and, the National Oceanic and Atmospheric Administration SST data set, ERSSTv5.
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Cites
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., & Kaplan, A. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002670 · Cited by 10,991
Self-citationThe Twentieth Century Reanalysis Project
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.776 · Cited by 3,518
Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore, J. H., Menne, M. J., Smith, T. M., Vose, R. S., & Zhang, H.-M. (2017) · Journal of Climate · doi:10.1175/jcli-d-16-0836.1 · Cited by 3,230
Improvements to NOAA’s Historical Merged Land–Ocean Surface Temperature Analysis (1880–2006)
Smith, T. M., Reynolds, R. W., Peterson, T. C., & Lawrimore, J. (2008) · Journal of Climate · doi:10.1175/2007jcli2100.1 · Cited by 2,923
Good, S. A., Martin, M. J., & Rayner, N. A. (2013) · Journal of Geophysical Research: Oceans · doi:10.1002/2013jc009067 · Cited by 1,861
Self-citationA Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA)
Carton, J. A., & Giese, B. S. (2008) · Monthly Weather Review · doi:10.1175/2007mwr1978.1 · Cited by 1,818
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system
Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., & Wimmer, W. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.10.017 · Cited by 1,394
The Pacific Decadal Oscillation, Revisited
Newman, M., Alexander, M. A., Ault, T. R., Cobb, K. M., Deser, C., Di Lorenzo, E., Mantua, N. J., Miller, A. J., Minobe, S., Nakamura, H., et al. (2016) · Journal of Climate · doi:10.1175/jcli-d-15-0508.1 · Cited by 1,318
Cited by
The ERA5 global reanalysis: Preliminary extension to 1950
Bell, B., Hersbach, H., Simmons, A., Berrisford, P., Dahlgren, P., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Radu, R., Schepers, D., et al. (2021) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.4174 · Cited by 689
Vattioni, S., Luo, B., Feinberg, A., Stenke, A., Vockenhuber, C., Weber, R., Dykema, J. A., Krieger, U. K., Ammann, M., Keutsch, F., et al. (2023) · Geophysical Research Letters · doi:10.1029/2023gl105889 · Cited by 26
“5 (O’Neill et al., 2015) and WMO (2018), respectively, while SST and SIC were taken from a 10-year average (2011–2020) of the Hadley data set (Kennedy et al., 2019) for 2020 conditions and CESM5-CAM1 RCP8.”
MethodVattioni, S., Weber, R., Feinberg, A., Stenke, A., Dykema, J. A., Luo, B., Kelesidis, G. A., Bruun, C. A., Sukhodolov, T., Keutsch, F. N., et al. (2024) · Geoscientific Model Development · doi:10.5194/gmd-17-7767-2024 · Cited by 17
Vattioni, S., Peter, T., Weber, R., Dykema, J. A., Luo, B., Stenke, A., Feinberg, A., Sukhodolov, T., Keutsch, F. N., Ammann, M., et al. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02038-1 · Cited by 13
Metadata
- Authors
- Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R. E.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2019-07-27
- Volume
- 124
- Issue
- 14
- Pages
- 7719-7763
- ISSN
- 0148-0227 (ISSN-L)
- 2169-897X
- 2169-8996
- OpenAlex
- W2952678807
- Cited by
- 298
- References
- 66
- FWCI
- 16.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kennedy, J. J., Rayner, N. A., Atkinson, C. P., & Killick, R. E. (2019). An Ensemble Data Set of Sea Surface Temperature Change From 1850: The Met Office Hadley Centre HadSST.4.0.0.0 Data Set. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2018jd029867
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