Improved air-sea flux algorithms in an ocean-atmosphere coupled model for simulation of global ocean SST and its tropical Pacific variability
Gespeichert in:
Verfasser / Beitragende:
[Yimin Ma, Xiaobing Zhou, Daohua Bi, Zhian Sun, Anthony Hirst]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 44/5-6(2015-03-01), 1473-1485
Format:
Artikel (online)
Online Zugang:
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| 024 | 7 | 0 | |a 10.1007/s00382-014-2281-7 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00382-014-2281-7 | ||
| 245 | 0 | 0 | |a Improved air-sea flux algorithms in an ocean-atmosphere coupled model for simulation of global ocean SST and its tropical Pacific variability |h [Elektronische Daten] |c [Yimin Ma, Xiaobing Zhou, Daohua Bi, Zhian Sun, Anthony Hirst] |
| 520 | 3 | |a A revised algorithm for air-sea exchange parameterization of momentum, sensible and latent heat flux improves the climate simulation of the global distribution of sea surface temperature (SST) and tropical Pacific variability of SST. Based upon an analysis of studies from field programs, we apply the revised algorithm with new expressions for surface momentum and scalar roughness length dependent on 10-m winds in neutralcondition, and evaluate them in the ocean-atmosphere coupled model of the Australian Community Climate and Earth-System Simulator. The revised algorithm improves simulations for mean global SST distribution, demonstrated with Pearson's correlation indices showing corrections to a net fraction of 28% over the global oceans. Being focused on the tropical Pacific, the algorithm eases the tropical SST cold tongue bias, and improves predictability of ENSO variability with better representations of the standard deviation of the Nino-3.4 index, especially the skewness of the index for nonlinearity of ENSO variability. Bjerknes and thermodynamical feedbacks are applied to understand the effects of the revised algorithm on the predictability of the Nino indices. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Air-sea exchange |2 nationallicence | |
| 690 | 7 | |a ENSO |2 nationallicence | |
| 690 | 7 | |a SST |2 nationallicence | |
| 690 | 7 | |a Tropical variability |2 nationallicence | |
| 700 | 1 | |a Ma |D Yimin |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | |
| 700 | 1 | |a Zhou |D Xiaobing |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | |
| 700 | 1 | |a Bi |D Daohua |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | |
| 700 | 1 | |a Sun |D Zhian |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | |
| 700 | 1 | |a Hirst |D Anthony |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | |
| 773 | 0 | |t Climate Dynamics |d Springer Berlin Heidelberg |g 44/5-6(2015-03-01), 1473-1485 |x 0930-7575 |q 44:5-6<1473 |1 2015 |2 44 |o 382 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00382-014-2281-7 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00382-014-2281-7 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ma |D Yimin |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhou |D Xiaobing |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Bi |D Daohua |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sun |D Zhian |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hirst |D Anthony |u Centre for Australian Weather and Climate Research (CAWCR), A Partnership Between CSIRO and the Bureau of Meteorology Melbourne, GPO Box 1289, 3001, Melbourne, Australia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Climate Dynamics |d Springer Berlin Heidelberg |g 44/5-6(2015-03-01), 1473-1485 |x 0930-7575 |q 44:5-6<1473 |1 2015 |2 44 |o 382 | ||