Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Simone Morak-Bozzo"'
Autor:
Alexey Kaplan, John Kennedy, Boyin Huang, David E. Parker, Shoji Hirahara, Thomas M. Smith, Masayoshi Ishii, Huai-Min Zhang, Christopher P. Atkinson, Victor Venema, Finban Lindgren, Nick Rayner, Christopher J. Merchant, David I. Berry, Elizabeth C. Kent, Simone Morak-Bozzo, Souichiro Yasui, Giulia Carella, Philip Jones, Yoshikazu Fukuda
Publikováno v:
Kent, E C, Berry, D I, Carella, G, Kennedy, J J, Parker, D E, Atkinson, C P, Rayner, N A, Smith, T M, Hirahara, S, Huang, B, Zhang, H-M, Kaplan, A, Fukuda, Y, Ishii, M, Jones, P D, Lindgren, F, Merchant, C J, Morak-Bozzo, S, Venema, V & Yasui, S 2017, ' A call for new approaches to quantifying biases in observations of sea-surface temperature ', Bulletin of the American Meteorological Society, vol. 98, no. 8, pp. 1601-1616 . https://doi.org/10.1175/BAMS-D-15-00251.1
Global surface-temperature is a fundamental measure of climate change. We discuss bias estimation for sea-surface temperature and recommend the improvements to data, observational metadata, and uncertainty modeling needed to make progress.Global surf
Autor:
Elizabeth C. Kent, Robin W. Pascal, Christopher J. Merchant, David I. Berry, Andrew K. R. Morris, Simone Morak-Bozzo, Margaret J. Yelland, Giulia Carella
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 143:2198-2209
Uncertainty in the bias adjustments applied to historical sea surface temperature (SST) measurements made using buckets are thought to make the largest contribution to uncertainty in global surface temperature trends. Measurements of the change in te
Autor:
Giulia Carella, Christopher J. Merchant, Elizabeth C. Kent, Shoji Hirahara, Simone Morak-Bozzo, John Kennedy, David I. Berry
Lack of reliable observational metadata represents a key barrier to understanding sea surface temperature (SST) measurement biases, a large contributor to uncertainty in the global surface record. We present a method to identify SST measurement pract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::365d6d5a32c88ca3f12547572e051c8c
https://eprints.soton.ac.uk/416861/
https://eprints.soton.ac.uk/416861/
Autor:
Simon A. Good, Jonah Roberts-Jones, Owen Embury, Emma Fiedler, Christopher J. Merchant, Claire E. Bulgin, Simone Morak-Bozzo, A. J. McLaren, Craig Donlon, Gary K. Corlett, Nick Rayner
Publikováno v:
Geoscience Data Journal. 1:179-191
Sea surface temperature (SST) datasets have been generated from satellite observations for the period 1991–2010, intended for use in climate science applications. Attributes of the datasets specifically relevant to climate applications are: first,