Assessing recent warming using instrumentally homogeneous sea surface temperature records. Hausfather, Z., Cowtan, K., Clarke, D. C., Jacobs, P., Richardson, M., & Rohde, R. Science Advances, 3(1):e1601207, January, 2017. 00000
Assessing recent warming using instrumentally homogeneous sea surface temperature records [link]Paper  doi  abstract   bibtex   
Sea surface temperature (SST) records are subject to potential biases due to changing instrumentation and measurement practices. Significant differences exist between commonly used composite SST reconstructions from 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 Centennial Observation-Based Estimates of SSTs (COBE-SST) from 2003 to the present. The update from ERSST version 3b to version 4 resulted in an increase in the operational SST trend estimate during the last 19 years from 0.07° to 0.12°C per decade, indicating a higher rate of warming in recent years. We show that ERSST version 4 trends generally agree with largely independent, near-global, and instrumentally homogeneous SST measurements from floating buoys, Argo floats, and radiometer-based satellite measurements that have been developed and deployed during the past two decades. We find a large cooling bias in ERSST version 3b and smaller but significant cooling biases in HadSST3 and COBE-SST from 2003 to the present, with respect to most series examined. These results suggest that reported rates of SST warming in recent years have been underestimated in these three data sets.
@article{hausfather_assessing_2017,
	title = {Assessing recent warming using instrumentally homogeneous sea surface temperature records},
	volume = {3},
	copyright = {Copyright © 2017, The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.},
	issn = {2375-2548},
	url = {http://advances.sciencemag.org/content/3/1/e1601207},
	doi = {10.1126/sciadv.1601207},
	abstract = {Sea surface temperature (SST) records are subject to potential biases due to changing instrumentation and measurement practices. Significant differences exist between commonly used composite SST reconstructions from 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 Centennial Observation-Based Estimates of SSTs (COBE-SST) from 2003 to the present. The update from ERSST version 3b to version 4 resulted in an increase in the operational SST trend estimate during the last 19 years from 0.07° to 0.12°C per decade, indicating a higher rate of warming in recent years. We show that ERSST version 4 trends generally agree with largely independent, near-global, and instrumentally homogeneous SST measurements from floating buoys, Argo floats, and radiometer-based satellite measurements that have been developed and deployed during the past two decades. We find a large cooling bias in ERSST version 3b and smaller but significant cooling biases in HadSST3 and COBE-SST from 2003 to the present, with respect to most series examined. These results suggest that reported rates of SST warming in recent years have been underestimated in these three data sets.},
	language = {en},
	number = {1},
	urldate = {2017-01-08},
	journal = {Science Advances},
	author = {Hausfather, Zeke and Cowtan, Kevin and Clarke, David C. and Jacobs, Peter and Richardson, Mark and Rohde, Robert},
	month = jan,
	year = {2017},
	note = {00000},
	keywords = {boundaries, collapse, climate, accuracy-check},
	pages = {e1601207},
	file = {Hausfather et al. - 2017 - Assessing recent warming using instrumentally homo.pdf:C\:\\Users\\rsrs\\Documents\\Zotero Database\\storage\\UTJ3KW74\\Hausfather et al. - 2017 - Assessing recent warming using instrumentally homo.pdf:application/pdf}
}

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