Sensitivity experiments on the role of moisture in the eastward propagation of MJO
Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered componen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhu, Xiaoyu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Climate dynamics - Berlin : Springer, 1986, 59(2022), 1-2 vom: 11. Jan., Seite 263-280 |
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| Übergeordnetes Werk: |
volume:59 ; year:2022 ; number:1-2 ; day:11 ; month:01 ; pages:263-280 |
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| DOI / URN: |
10.1007/s00382-021-06126-8 |
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| Katalog-ID: |
SPR047358327 |
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| 520 | |a Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. | ||
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| 650 | 4 | |a Moisture |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nudging technique |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a WRF model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Sensitivity experiment |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhong, Zhong |0 (orcid)0000-0002-2019-0281 |4 aut | |
| 700 | 1 | |a Zhu, Yimin |4 aut | |
| 700 | 1 | |a Hu, Yijia |4 aut | |
| 700 | 1 | |a Ha, Yao |4 aut | |
| 700 | 1 | |a Guo, Tao |4 aut | |
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10.1007/s00382-021-06126-8 doi (DE-627)SPR047358327 (SPR)s00382-021-06126-8-e DE-627 ger DE-627 rakwb eng Zhu, Xiaoyu verfasserin aut Sensitivity experiments on the role of moisture in the eastward propagation of MJO 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. Madden–Julian Oscillation (dpeaa)DE-He213 Moisture (dpeaa)DE-He213 Nudging technique (dpeaa)DE-He213 WRF model (dpeaa)DE-He213 Sensitivity experiment (dpeaa)DE-He213 Zhong, Zhong (orcid)0000-0002-2019-0281 aut Zhu, Yimin aut Hu, Yijia aut Ha, Yao aut Guo, Tao aut Enthalten in Climate dynamics Berlin : Springer, 1986 59(2022), 1-2 vom: 11. Jan., Seite 263-280 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:59 year:2022 number:1-2 day:11 month:01 pages:263-280 https://dx.doi.org/10.1007/s00382-021-06126-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2022 1-2 11 01 263-280 |
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10.1007/s00382-021-06126-8 doi (DE-627)SPR047358327 (SPR)s00382-021-06126-8-e DE-627 ger DE-627 rakwb eng Zhu, Xiaoyu verfasserin aut Sensitivity experiments on the role of moisture in the eastward propagation of MJO 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. Madden–Julian Oscillation (dpeaa)DE-He213 Moisture (dpeaa)DE-He213 Nudging technique (dpeaa)DE-He213 WRF model (dpeaa)DE-He213 Sensitivity experiment (dpeaa)DE-He213 Zhong, Zhong (orcid)0000-0002-2019-0281 aut Zhu, Yimin aut Hu, Yijia aut Ha, Yao aut Guo, Tao aut Enthalten in Climate dynamics Berlin : Springer, 1986 59(2022), 1-2 vom: 11. Jan., Seite 263-280 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:59 year:2022 number:1-2 day:11 month:01 pages:263-280 https://dx.doi.org/10.1007/s00382-021-06126-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2022 1-2 11 01 263-280 |
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10.1007/s00382-021-06126-8 doi (DE-627)SPR047358327 (SPR)s00382-021-06126-8-e DE-627 ger DE-627 rakwb eng Zhu, Xiaoyu verfasserin aut Sensitivity experiments on the role of moisture in the eastward propagation of MJO 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. Madden–Julian Oscillation (dpeaa)DE-He213 Moisture (dpeaa)DE-He213 Nudging technique (dpeaa)DE-He213 WRF model (dpeaa)DE-He213 Sensitivity experiment (dpeaa)DE-He213 Zhong, Zhong (orcid)0000-0002-2019-0281 aut Zhu, Yimin aut Hu, Yijia aut Ha, Yao aut Guo, Tao aut Enthalten in Climate dynamics Berlin : Springer, 1986 59(2022), 1-2 vom: 11. Jan., Seite 263-280 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:59 year:2022 number:1-2 day:11 month:01 pages:263-280 https://dx.doi.org/10.1007/s00382-021-06126-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2022 1-2 11 01 263-280 |
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10.1007/s00382-021-06126-8 doi (DE-627)SPR047358327 (SPR)s00382-021-06126-8-e DE-627 ger DE-627 rakwb eng Zhu, Xiaoyu verfasserin aut Sensitivity experiments on the role of moisture in the eastward propagation of MJO 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. Madden–Julian Oscillation (dpeaa)DE-He213 Moisture (dpeaa)DE-He213 Nudging technique (dpeaa)DE-He213 WRF model (dpeaa)DE-He213 Sensitivity experiment (dpeaa)DE-He213 Zhong, Zhong (orcid)0000-0002-2019-0281 aut Zhu, Yimin aut Hu, Yijia aut Ha, Yao aut Guo, Tao aut Enthalten in Climate dynamics Berlin : Springer, 1986 59(2022), 1-2 vom: 11. Jan., Seite 263-280 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:59 year:2022 number:1-2 day:11 month:01 pages:263-280 https://dx.doi.org/10.1007/s00382-021-06126-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2022 1-2 11 01 263-280 |
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10.1007/s00382-021-06126-8 doi (DE-627)SPR047358327 (SPR)s00382-021-06126-8-e DE-627 ger DE-627 rakwb eng Zhu, Xiaoyu verfasserin aut Sensitivity experiments on the role of moisture in the eastward propagation of MJO 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. Madden–Julian Oscillation (dpeaa)DE-He213 Moisture (dpeaa)DE-He213 Nudging technique (dpeaa)DE-He213 WRF model (dpeaa)DE-He213 Sensitivity experiment (dpeaa)DE-He213 Zhong, Zhong (orcid)0000-0002-2019-0281 aut Zhu, Yimin aut Hu, Yijia aut Ha, Yao aut Guo, Tao aut Enthalten in Climate dynamics Berlin : Springer, 1986 59(2022), 1-2 vom: 11. Jan., Seite 263-280 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:59 year:2022 number:1-2 day:11 month:01 pages:263-280 https://dx.doi.org/10.1007/s00382-021-06126-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 59 2022 1-2 11 01 263-280 |
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Enthalten in Climate dynamics 59(2022), 1-2 vom: 11. Jan., Seite 263-280 volume:59 year:2022 number:1-2 day:11 month:01 pages:263-280 |
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Zhu, Xiaoyu @@aut@@ Zhong, Zhong @@aut@@ Zhu, Yimin @@aut@@ Hu, Yijia @@aut@@ Ha, Yao @@aut@@ Guo, Tao @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR047358327</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509102846.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220622s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00382-021-06126-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047358327</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00382-021-06126-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhu, Xiaoyu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sensitivity experiments on the role of moisture in the eastward propagation of MJO</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Madden–Julian Oscillation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Moisture</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nudging technique</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">WRF model</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sensitivity experiment</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhong, Zhong</subfield><subfield code="0">(orcid)0000-0002-2019-0281</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhu, Yimin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hu, Yijia</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ha, Yao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Guo, Tao</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Climate dynamics</subfield><subfield code="d">Berlin : Springer, 1986</subfield><subfield code="g">59(2022), 1-2 vom: 11. Jan., Seite 263-280</subfield><subfield code="w">(DE-627)268128561</subfield><subfield code="w">(DE-600)1471747-5</subfield><subfield code="x">1432-0894</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:59</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:1-2</subfield><subfield code="g">day:11</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:263-280</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00382-021-06126-8</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield 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Zhu, Xiaoyu |
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Sensitivity experiments on the role of moisture in the eastward propagation of MJO Madden–Julian Oscillation (dpeaa)DE-He213 Moisture (dpeaa)DE-He213 Nudging technique (dpeaa)DE-He213 WRF model (dpeaa)DE-He213 Sensitivity experiment (dpeaa)DE-He213 |
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sensitivity experiments on the role of moisture in the eastward propagation of mjo |
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Sensitivity experiments on the role of moisture in the eastward propagation of MJO |
| abstract |
Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstractGer |
Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
| abstract_unstemmed |
Abstract In this study, we employ the nudging assimilation in the Weather Research and Forecasting (WRF) model to conduct a set of sensitivity experiments on the role of moisture in the Madden–Julian Oscillation (MJO) eastward propagation, focusing on the typical case of 30–60 days filtered component in the tropical atmosphere from the Indian Ocean to the western Pacific Ocean during September–November 2004. Using 11 different cumulus parameterization schemes, the simulation results show that the ability of the regional climate model in simulating the MJO eastward propagation is sensitive to the cumulus parameterization schemes: a suitable scheme can well reproduce the MJO eastward propagation characteristics, while most schemes show no skill for the MJO eastward propagation. When the simulated moisture (specific humidity) in the model domain is nudged toward the observational values, the low-frequency evolution of the tropical zonal winds in the lower troposphere exhibit MJO features well, and the low-frequency phase of moisture is ahead of the zonal winds by about 6–7 days, which suggests that the atmospheric moisture distribution is the key factor for the eastward propagation of the MJO, and the effect of tropical wet convection is taken via affecting the atmospheric instability. However, when the atmospheric temperature assimilation is conducted, there is less improvement in the skill of MJO simulation in the lower troposphere than the moisture nudging assimilation. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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| title_short |
Sensitivity experiments on the role of moisture in the eastward propagation of MJO |
| url |
https://dx.doi.org/10.1007/s00382-021-06126-8 |
| remote_bool |
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| author2 |
Zhong, Zhong Zhu, Yimin Hu, Yijia Ha, Yao Guo, Tao |
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| doi_str |
10.1007/s00382-021-06126-8 |
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2024-07-04T02:51:16.165Z |
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| score |
7.4004126 |