L
Li Shi
Researcher at Bureau of Meteorology
Publications - 19
Citations - 714
Li Shi is an academic researcher from Bureau of Meteorology. The author has contributed to research in topics: Indian Ocean Dipole & Sea surface temperature. The author has an hindex of 11, co-authored 17 publications receiving 574 citations.
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Journal ArticleDOI
The Ocean Reanalyses Intercomparison Project (ORA-IP)
Magdalena Balmaseda,Fabrice Hernandez,Andrea Storto,Matthew D. Palmer,Oscar Alves,Li Shi,Gregory C. Smith,Takahiro Toyoda,Maria Valdivieso,Bernard Barnier,David Behringer,Timothy P. Boyer,You-Soon Chang,G. Chepurin,Nicolas Ferry,Gael Forget,Yosuke Fujii,Simon A. Good,Stephanie Guinehut,Keith Haines,Yoichi Ishikawa,Sarah Keeley,Armin Köhl,Tong Lee,Matthew Martin,Simona Masina,Shuhei Masuda,Benoit Meyssignac,Kristian Mogensen,Laurent Parent,K. A. Peterson,Yongming Tang,Yonghong Yin,Guillaume Vernieres,Xiaochun Wang,Jennifer Waters,Robin Wedd,Ou Wang,Yan Xue,Matthieu Chevallier,Jean-François Lemieux,Frédéric Dupont,Tsurane Kuragano,Masafumi Kamachi,Toshiyuki Awaji,A. Caltabiano,Kirsten Wilmer-Becker,Fabienne Gaillard +47 more
TL;DR: In this article, a multi-reanalysis ensemble is used to estimate the signal-to-noise ratio (SNR) of the ocean state and to estimate uncertainty levels.
Journal ArticleDOI
How Predictable is the Indian Ocean Dipole
TL;DR: In this paper, the predictive skill of the sea surface temperature (SST) anomalies associated with the Indian Ocean dipole (IOD) is assessed using ensemble seasonal forecasts from a selection of contemporary coupled climate models that are routinely used to make seasonal climate predictions.
Journal ArticleDOI
An assessment of ten ocean reanalyses in the polar regions
Petteri Uotila,Hugues Goosse,Keith Haines,Matthieu Chevallier,Antoine Barthélemy,Clement Bricaud,James A. Carton,Neven S. Fučkar,Gilles Garric,Doroteaciro Iovino,Frank Kauker,Meri Korhonen,Vidar S. Lien,Marika Marnela,François Massonnet,Davi Mignac,K. Andrew Peterson,Remon Sadikni,Li Shi,Steffen Tietsche,Takahiro Toyoda,Jiping Xie,Zhaoru Zhang +22 more
TL;DR: The Polar ORA Intercomparison Project (Polar ORA-IP) as discussed by the authors was established following on from the ORA -IP project to assess the quality of global and regional ocean and sea ice reanalysis products (ORAs).
Journal ArticleDOI
ACCESS-S1 The new Bureau of Meteorology multi-week to seasonal prediction system
Debra Hudson,Oscar Alves,Harry H. Hendon,Eun-Pa Lim,Guoqiang Liu,Jing-Jia Luo,Craig MacLachlan,Andrew G. Marshall,Li Shi,Guomin Wang,Robin Wedd,Griffith Young,Mei Zhao,Xiaobing Zhou +13 more
TL;DR: ACCESS-S1 is based on the UK Met Office GloSea5-GC2 seasonal prediction system, but has enhancements to the ensemble generation strategy to make it appropriate for multi-week forecasting, and a larger ensemble size.
Journal ArticleDOI
Intercomparison and validation of the mixed layer depth fields of global ocean syntheses
Takahiro Toyoda,Yosuke Fujii,Tsurane Kuragano,Masafumi Kamachi,Yoichi Ishikawa,Shuhei Masuda,Kanako Sato,Toshiyuki Awaji,Toshiyuki Awaji,Fabrice Hernandez,Nicolas Ferry,Stephanie Guinehut,Matthew Martin,K. Andrew Peterson,Simon A. Good,Maria Valdivieso,Keith Haines,Andrea Storto,Simona Masina,Simona Masina,Armin Köhl,Hao Zuo,Magdalena Balmaseda,Yonghong Yin,Li Shi,Oscar Alves,Gregory C. Smith,You-Soon Chang,You-Soon Chang,Guillaume Vernieres,Xiaochun Wang,Gael Forget,Patrick Heimbach,Ou Wang,Ichiro Fukumori,Tong Lee +35 more
TL;DR: In this paper, a comparison of the global ocean surface mixed layer depth (MLD) fields estimated from a suite of major ocean syntheses is conducted, and it is shown that the bias in the ensemble mean field of the reanalyses is smaller than in the observation-only analyses.