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  • 1
    Publication Date: 2021-07-14
    Description: Sea surface temperature (SST) records are subject to potential biases due to changing instrumentation andmeasurement practices. Significant differences exist between commonly used composite SST reconstructionsfrom the National Oceanic and Atmospheric Administration’s Extended Reconstruction Sea Surface Temperature(ERSST), the Hadley Centre SST data set (HadSST3), and the Japanese Meteorological Agency’s CentennialObservation-Based Estimates of SSTs (COBE-SST) from 2003 to the present. The update from ERSST version 3bto version 4 resulted in an increase in the operational SST trend estimate during the last 19 years from 0.07° to0.12°C per decade, indicating a higher rate of warming in recent years. We show that ERSST version 4 trendsgenerally agree with largely independent, near-global, and instrumentally homogeneous SST measurementsfrom floating buoys, Argo floats, and radiometer-based satellite measurements that have been developedand deployed during the past two decades. We find a large cooling bias in ERSST version 3b and smallerbut significant cooling biases in HadSST3 and COBE-SST from 2003 to the present, with respect to most seriesexamined. These results suggest that reported rates of SST warming in recent years have been underestimated in these three data sets.
    Description: Article Nr. e1601207. 2017 © The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. Distributed under a Creative Commons Attribution License 4.0 (CC BY-NC).
    Keywords: Atmospheric Sciences ; Oceanography ; Global warming ; Climatic Changes ; sea surface temperature ; data
    Repository Name: AquaDocs
    Type: article
    Format: application/pdf
    Format: application/pdf
    Format: 1-13
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  • 2
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2020. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 47(1), (2020): e2019GL085378, doi:10.1029/2019GL085378.
    Description: Retrospectively comparing future model projections to observations provides a robust and independent test of model skill. Here we analyze the performance of climate models published between 1970 and 2007 in projecting future global mean surface temperature (GMST) changes. Models are compared to observations based on both the change in GMST over time and the change in GMST over the change in external forcing. The latter approach accounts for mismatches in model forcings, a potential source of error in model projections independent of the accuracy of model physics. We find that climate models published over the past five decades were skillful in predicting subsequent GMST changes, with most models examined showing warming consistent with observations, particularly when mismatches between model‐projected and observationally estimated forcings were taken into account.
    Description: Z. H. conceived the project, Z. H. and H. F. D. created the figures, and Z. H., H. F. D., T. A., and G. S. helped gather data and wrote the article text. A public GitHub repository with code used to analyze the data and generate figures and csv files containing the data shown in the figures is available online (https://github.com/hausfath/OldModels). Additional information on the code and data used in the analysis can be found in the supporting information. We would like to thank Piers Forster for providing the ensemble of observationally‐informed radiative forcing estimates. No dedicated funding from any of the authors supported this project.
    Description: 2020-06-04
    Repository Name: Woods Hole Open Access Server
    Type: Article
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