The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4). Part I: Upgrades and Intercomparisons
Open accessAbstract
The monthly Extended Reconstructed Sea Surface Temperature (ERSST) dataset, available on global 2° × 2° grids, has been revised herein to version 4 (v4) from v3b. Major revisions include updated and substantially more complete input data from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) release 2.5; revised empirical orthogonal teleconnections (EOTs) and EOT acceptance criterion; updated sea surface temperature (SST) quality control procedures; revised SST anomaly (SSTA) evaluation methods; updated bias adjustments of ship SSTs using the Hadley Centre Nighttime Marine Air Temperature dataset version 2 (HadNMAT2); and buoy SST bias adjustment not previously made in v3b. Tests show that the impacts of the revisions to ship SST bias adjustment in ERSST.v4 are dominant among all revisions and updates. The effect is to make SST 0.1°–0.2°C cooler north of 30°S but 0.1°–0.2°C warmer south of 30°S in ERSST.v4 than in ERSST.v3b before 1940. In comparison with the Met Office SST product [the Hadley Centre Sea Surface Temperature dataset, version 3 (HadSST3)], the ship SST bias adjustment in ERSST.v4 is 0.1°–0.2°C cooler in the tropics but 0.1°–0.2°C warmer in the midlatitude oceans both before 1940 and from 1945 to 1970. Comparisons highlight differences in long-term SST trends and SSTA variations at decadal time scales among ERSST.v4, ERSST.v3b, HadSST3, and Centennial Observation-Based Estimates of SST version 2 (COBE-SST2), which is largely associated with the difference of bias adjustments in these SST products. The tests also show that, when compared with v3b, SSTAs in ERSST.v4 can substantially better represent the El Niño/La Niña behavior when observations are sparse before 1940. Comparisons indicate that SSTs in ERSST.v4 are as close to satellite-based observations as other similar SST analyses.
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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
(2013) · Cited by 6,752
A dipole mode in the tropical Indian Ocean
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999) · Nature · doi:10.1038/43854 · Cited by 5,510
An Improved In Situ and Satellite SST Analysis for Climate
Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., & Wang, W. (2002) · Journal of Climate · doi:10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2 · Cited by 4,559
Self-citationEnfield, D. B., Mestas‐Nuñez, A. M., & Trimble, P. J. (2001) · Geophysical Research Letters · doi:10.1029/2000gl012745 · Cited by 2,936
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
Self-citationStatistical Analysis in Climate Research
Lund, R. B., von Storch, H., & Zwiers, F. W. (2000) · Journal of the American Statistical Association · doi:10.2307/2669798 · Cited by 2,741
Statistical Analysis in Climate Research
Storch, H. V., & Zwiers, F. W. (1999) · Cambridge University Press eBooks · doi:10.1017/cbo9780511612336 · Cited by 2,717
GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics
Delworth, T. L., Broccoli, A. J., Rosati, A., Stouffer, R. J., Balaji, V., Beesley, J. A., Cooke, W. F., Dixon, K. W., Dunne, J., Dunne, K. A., et al. (2006) · Journal of Climate · doi:10.1175/jcli3629.1 · Cited by 1,690
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Lenssen, N. J. L., Schmidt, G. A., Hansen, J. E., Menne, M. J., Persin, A., Ruedy, R., & Zyss, D. (2019) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2018jd029522 · Cited by 962
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Held, I. M., Guo, H., Adcroft, A., Dunne, J. P., Horowitz, L. W., Krasting, J., Shevliakova, E., Winton, M., Zhao, M., Bushuk, M., et al. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001829 · Cited by 594
Impacts of historical warming on marine fisheries production
Free, C. M., Thorson, J. T., Pinsky, M. L., Oken, K. L., Wiedenmann, J., & Jensen, O. P. (2019) · Science · doi:10.1126/science.aau1758 · Cited by 574
Recently amplified arctic warming has contributed to a continual global warming trend
Huang, J., Zhang, X., Zhang, Q., Lin, Y., Hao, M., Luo, Y., Zhao, Z., Yao, Y., Chen, X., Wang, L., et al. (2017) · Nature Climate Change · doi:10.1038/s41558-017-0009-5 · Cited by 322
Young people's burden: requirement of negative CO 2 emissions
Hansen, J., Sato, M., Kharecha, P., von Schuckmann, K., Beerling, D. J., Cao, J., Marcott, S., Masson-Delmotte, V., Prather, M. J., Rohling, E. J., et al. (2017) · Earth System Dynamics · doi:10.5194/esd-8-577-2017 · Cited by 266
Metadata
- Authors
- Huang, B., Banzon, V. F., Freeman, E., Lawrimore, J., Liu, W., Peterson, T. C., Smith, T. M., Thorne, P. W., Woodruff, S. D., & Zhang, H.-M.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2015-02-01
- Volume
- 28
- Issue
- 3
- Pages
- 911-930
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2167018289
- Cited by
- 940
- References
- 38
- FWCI
- 70.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Huang, B., Banzon, V. F., Freeman, E., Lawrimore, J., Liu, W., Peterson, T. C., Smith, T. M., Thorne, P. W., Woodruff, S. D., & Zhang, H.-M. (2015). Extended Reconstructed Sea Surface Temperature Version 4 (ERSST.v4). Part I: Upgrades and Intercomparisons. Journal of Climate. https://doi.org/10.1175/jcli-d-14-00006.1
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