Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models
We examine the capability of thirteen Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) models in simulating climatology and interannual variability of Winter North Pacific Storm Track (WNPST). It is found that nearly half of the selected models can reproduce the spatial pattern of WNPST...
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MDPI AG
2018-02-01
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| Series: | Atmosphere |
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| Online Access: | http://www.mdpi.com/2073-4433/9/3/79 |
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| author | Minghao Yang Xin Li Ruiting Zuo Xiong Chen Liqiong Wang |
| author_facet | Minghao Yang Xin Li Ruiting Zuo Xiong Chen Liqiong Wang |
| author_sort | Minghao Yang |
| collection | DOAJ |
| description | We examine the capability of thirteen Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) models in simulating climatology and interannual variability of Winter North Pacific Storm Track (WNPST). It is found that nearly half of the selected models can reproduce the spatial pattern of WNPST climatology. However, the strength and spatial variation of WNPST climatology are weak in most of the models. Most differences among the models are in the northeast of the simulated multi-model ensemble (MME) climatology, while it is more consistent in the south. The MME can reflect not only the center position, but also the strength and spatial distribution of interannual variation of the WNPST amplitude. Except for CNRM-CM5, the interannual standard deviations of simulated WNPST strength and spatial variation in all other models are weak. ACCESS1-3 and CanESM2 have a better capability in simulating the spatial modes of WNPST, while the simulated second and third modes in some models are in opposite order with those in NCEP (National Centers for Environmental Prediction) reanalysis. Only five models and MME can capture “midwinter suppression” feature in their simulations. Compared with NCEP reanalysis, the winter longitude index is larger and latitude index is smaller in most of the models, indicating the simulated storm track is further east and south. CNRM-CM5, MME and CMCC-CM could be used to evaluate interannual variation of strength index, longitude index and latitude index respectively. Nevertheless, only INM-CM4 and CNRM-CM5 can simulate southward drift of WNPST. |
| first_indexed | 2024-04-12T11:09:35Z |
| format | Article |
| id | doaj.art-df6e26a8a08648d6937aae6f51332e95 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-04-12T11:09:35Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-df6e26a8a08648d6937aae6f51332e952022-12-22T03:35:39ZengMDPI AGAtmosphere2073-44332018-02-01937910.3390/atmos9030079atmos9030079Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 ModelsMinghao Yang0Xin Li1Ruiting Zuo2Xiong Chen3Liqiong Wang4College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaCollege of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, ChinaWe examine the capability of thirteen Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) models in simulating climatology and interannual variability of Winter North Pacific Storm Track (WNPST). It is found that nearly half of the selected models can reproduce the spatial pattern of WNPST climatology. However, the strength and spatial variation of WNPST climatology are weak in most of the models. Most differences among the models are in the northeast of the simulated multi-model ensemble (MME) climatology, while it is more consistent in the south. The MME can reflect not only the center position, but also the strength and spatial distribution of interannual variation of the WNPST amplitude. Except for CNRM-CM5, the interannual standard deviations of simulated WNPST strength and spatial variation in all other models are weak. ACCESS1-3 and CanESM2 have a better capability in simulating the spatial modes of WNPST, while the simulated second and third modes in some models are in opposite order with those in NCEP (National Centers for Environmental Prediction) reanalysis. Only five models and MME can capture “midwinter suppression” feature in their simulations. Compared with NCEP reanalysis, the winter longitude index is larger and latitude index is smaller in most of the models, indicating the simulated storm track is further east and south. CNRM-CM5, MME and CMCC-CM could be used to evaluate interannual variation of strength index, longitude index and latitude index respectively. Nevertheless, only INM-CM4 and CNRM-CM5 can simulate southward drift of WNPST.http://www.mdpi.com/2073-4433/9/3/79Winter North Pacific Storm TrackCMIP5interannual variabilityspatial modestorm track index |
| spellingShingle | Minghao Yang Xin Li Ruiting Zuo Xiong Chen Liqiong Wang Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models Atmosphere Winter North Pacific Storm Track CMIP5 interannual variability spatial mode storm track index |
| title | Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models |
| title_full | Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models |
| title_fullStr | Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models |
| title_full_unstemmed | Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models |
| title_short | Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models |
| title_sort | climatology and interannual variability of winter north pacific storm track in cmip5 models |
| topic | Winter North Pacific Storm Track CMIP5 interannual variability spatial mode storm track index |
| url | http://www.mdpi.com/2073-4433/9/3/79 |
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