An assessment of ten ocean reanalyses in the polar regions

An assessment of ten ocean reanalyses in the polar regions
复制标题

DOI:
10.1007/s00382-018-4242-z
复制
发表时间:
2019-02
期刊:
影响因子:
4.6
通讯作者:
P. Uotila;H. Goosse;K. Haines;M. Chevallier;A. Barthélemy;C. Bricaud;J. Carton;N. Fučkar;G. Garric;D. Iovino;F. Kauker;M. Korhonen;V. Lien;M. Marnela;F. Massonnet;D. Mignac;K. Andrew Peterson;Remon Sadikni;Li Shi;S. Tietsche;T. Toyoda;Jiping Xie;Zhaoru Zhang
P. Uotila;H. Goosse;K. Haines;M. Chevallier;A. Barthélemy;C. Bricaud;J. Carton;N. Fučkar;G. Garric;D. Iovino;F. Kauker;M. Korhonen;V. Lien;M. Marnela;F. Massonnet;D. Mignac;K. Andrew Peterson;Remon Sadikni;Li Shi;S. Tietsche;T. Toyoda;Jiping Xie;Zhaoru Zhang
中科院分区:
地球科学2区
文献类型:
--
作者:
P. Uotila;H. Goosse;K. Haines;M. Chevallier;A. Barthélemy;C. Bricaud;J. Carton;N. Fučkar;G. Garric;D. Iovino;F. Kauker;M. Korhonen;V. Lien;M. Marnela;F. Massonnet;D. Mignac;K. Andrew Peterson;Remon Sadikni;Li Shi;S. Tietsche;T. Toyoda;Jiping Xie;Zhaoru Zhang

文献摘要

被引文献

相似文献

全球和区域海洋和海冰再分析产品(奥拉斯)越来越多地用于极地研究,但其质量仍有待系统评估。为解决这一问题,继ORA-IP项目之后,建立了Polar ORA相互比较项目(Polar ORA-IP)。通过集中比较北极和南极十个选定的奥拉斯在雪、海冰、海洋运输和水文地理方面的平均状态,讨论了它们的几个方面。大多数极性诊断是首次在如此广泛的一组奥拉斯中进行的。对于多ORA平均状态,我们发现与观察结果的偏差通常小于单个ORA异常,这通常归因于单个奥拉斯的抵消偏差。因此,ORA集合平均值似乎是一个有用的产品,在了解其主要缺陷并认识到其限制的同时,它可以用于获得有关极地海洋环境物理状态的有用信息。
Global and regional ocean and sea ice reanalysis products (ORAs) are increasingly used in polar research, but their quality remains to be systematically assessed. To address this, the Polar ORA Intercomparison Project (Polar ORA-IP) has been established following on from the ORA-IP project. Several aspects of ten selected ORAs in the Arctic and Antarctic were addressed by concentrating on comparing their mean states in terms of snow, sea ice, ocean transports and hydrography. Most polar diagnostics were carried out for the first time in such an extensive set of ORAs. For the multi-ORA mean state, we found that deviations from observations were typically smaller than individual ORA anomalies, often attributed to offsetting biases of individual ORAs. The ORA ensemble mean therefore appears to be a useful product and while knowing its main deficiencies and recognising its restrictions, it can be used to gain useful information on the physical state of the polar marine environment.