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Improved Weather Radar Echo Extrapolation Through Wind Speed Data Fusion Using a New Spatiotemporal Neural Network Model 利用新型时空神经网络模型,通过风速数据融合改进天气雷达回波推断法
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.036
Huan-tong Geng, Bo-yang Xie, Xiao-yan Ge, Jin-zhong Min, Xiao-ran Zhuang
: Weather radar echo extrapolation plays a crucial role in weather forecasting. However, traditional weather radar echo extrapolation methods are not very accurate and do not make full use of historical data. Deep learning algorithms based on Recurrent Neural Networks also have the problem of accumulating errors. Moreover, it is difficult to obtain higher accuracy by relying on a single historical radar echo observation. Therefore, in this study, we constructed the Fusion GRU module, which leverages a cascade structure to effectively combine radar echo data and mean wind data. We also designed the Top Connection so that the model can capture the global spatial relationship to construct constraints on the predictions. Based on the Jiangsu Province dataset, we compared some models. The results show that our proposed model, Cascade Fusion Spatiotemporal Network (CFSN), improved the critical success index (CSI) by 10.7% over the baseline at the threshold of 30 dBZ. Ablation experiments further validated the effectiveness of our model. Similarly, the CSI of the complete CFSN was 0.004 higher than the suboptimal solution without the cross-attention module at the threshold of 30 dBZ.
:天气雷达回波外推法在天气预报中起着至关重要的作用。然而,传统的天气雷达回波外推方法并不十分准确,也没有充分利用历史数据。基于递归神经网络的深度学习算法也存在误差累积的问题。此外,依靠单一的雷达回波历史观测数据很难获得更高的精度。因此,在本研究中,我们构建了融合 GRU 模块,利用级联结构将雷达回波数据和平均风数据有效地结合起来。我们还设计了顶部连接,使模型能够捕捉全局空间关系,为预测构建约束条件。基于江苏省的数据集,我们对一些模型进行了比较。结果表明,在阈值为 30 dBZ 时,我们提出的级联融合时空网络(CFSN)模型比基线模型的临界成功指数(CSI)提高了 10.7%。消融实验进一步验证了我们模型的有效性。同样,在阈值为 30 dBZ 时,完整 CFSN 的 CSI 比没有交叉注意模块的次优方案高 0.004。
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引用次数: 0
Performance of the CMA-GD Model in Predicting Wind Speed at Wind Farms in Hubei, China CMA-GD 模型在预测中国湖北风电场风速方面的性能
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.035
Pei-hua Xu, Chi Cheng, Wen Wang, Zheng-hong Chen, Shui-xin Zhong, Yan-xia Zhang
: This study assesses the predictive capabilities of the CMA-GD model for wind speed prediction in two wind farms located in Hubei Province, China. The observed wind speeds at the height of 70m in wind turbines of two wind farms in Suizhou serve as the actual observation data for comparison and testing. At the same time, the wind speed predicted by the EC model is also included for comparative analysis. The results indicate that the CMA-GD model performs better than the EC model in Wind Farm A. The CMA-GD model exhibits a monthly average correlation coefficient of 0.56, root mean square error of 2.72 m s –1 , and average absolute error of 2.11 m s –1 . In contrast, the EC model shows a monthly average correlation coefficient of 0.51, root mean square error of 2.83 m s –1 , and average absolute error of 2.21 m s –1 . Conversely, in Wind Farm B, the EC model outperforms the CMA-GD model. The CMA-GD model achieves a monthly average correlation coefficient of 0.55, root mean square error of 2.61 m s –1 , and average absolute error of 2.13 m s –1 . By contrast, the EC model displays a monthly average correlation coefficient of 0.63, root mean square error of 2.04 m s –1 , and average absolute error of 1.67 m s –1 .
:本研究评估了 CMA-GD 模型在中国湖北省两个风电场的风速预测能力。随州两个风电场的风机在 70 米高空的风速观测数据作为实际观测数据进行比较和测试。同时,EC 模型预测的风速也被纳入对比分析。结果表明,在 A 风场,CMA-GD 模型的性能优于 EC 模型。CMA-GD 模型的月平均相关系数为 0.56,均方根误差为 2.72 m s -1 ,平均绝对误差为 2.11 m s -1 。相比之下,EC 模式的月平均相关系数为 0.51,均方根误差为 2.83 m s -1 ,平均绝对误差为 2.21 m s -1 。相反,在风电场 B 中,EC 模型优于 CMA-GD 模型。CMA-GD 模型的月平均相关系数为 0.55,均方根误差为 2.61 m s -1 ,平均绝对误差为 2.13 m s -1 。相比之下,EC 模式的月平均相关系数为 0.63,均方根误差为 2.04 m s -1 ,平均绝对误差为 1.67 m s -1 。
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引用次数: 0
Correcting Black Carbon Absorption Measurements with Micro-aethalometer Model 200: Insights from Comparative Analysis 用 200 型微测速仪校正黑碳吸收测量结果:对比分析的启示
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.030
Wei-lun Zhao, Chun-sheng Zhao
: Black carbon (BC) is the strongest visible-light-absorbing aerosol component in the atmosphere, with a significant impact on Earth’s radiative budget. Accurate measurement of BC light absorption is crucial for estimating its radiative effect. The micro-aethalometer model 200 (MA200) by AethLabs, USA, offers high-time-resolution measurement of the multi-wavelength absorption coefficient ( σ ab ) within 1 s, making it widely used in aerial measurement due to its compact size and light weight. However, the reliability of the measured σ ab has not been extensively studied in previous research. In this study, we evaluate the performance of MA200 by comparing σ ab measurements obtained from MA200 with those from the aethalometer model 33 (AE33) by Magee, USA. Our results revealed a significant variation in the determinant coefficient ( R 2 ) between σ ab measurements from MA200 and AE33, depending on the time resolution. The R 2 increases from 0.1 to 0.5 and further to 0.97 as the time resolution of σ ab increases from 1 s to 30 s and 60 s, respectively. We recommend a minimum time resolution of 30 s for stable σ ab measurements using MA200. Moreover, we determine σ ab from attenuation coefficient ( σ ATN ) measured by MA200 as σ ab = ( σ ATN – σ 0 )/ C MA , where σ 0 ranges from – 15.3 Mm –1 to – 6.4 Mm –1 and C MA ranges from 2.65 to 3.21. Correcting the measured σ ab based on the findings of this study can provide reliable results for estimating the radiative effects of BC.
:黑碳(BC)是大气中吸收可见光最强的气溶胶成分,对地球的辐射预算有重大影响。准确测量黑碳的光吸收对估计其辐射效应至关重要。美国 AethLabs 公司的微型大气吸收仪 200 型(MA200)可在 1 秒内对多波长吸收系数(σ ab)进行高时间分辨率测量,因其体积小、重量轻而广泛应用于航空测量。然而,以往的研究并未对测量到的σ ab 的可靠性进行广泛研究。在本研究中,我们通过比较 MA200 与美国 Magee 公司的 33 型(AE33)气压计的 σ ab 测量值来评估 MA200 的性能。结果表明,根据时间分辨率的不同,MA200 和 AE33 σ ab 测量值之间的行列式系数 ( R 2 ) 有很大差异。当 σ ab 的时间分辨率分别从 1 秒增加到 30 秒和 60 秒时,R 2 分别从 0.1 增加到 0.5,并进一步增加到 0.97。我们建议使用 MA200 进行稳定的 σ ab 测量时,最小时间分辨率为 30 秒。此外,我们根据 MA200 测得的衰减系数 ( σ ATN ) 确定 σ ab,即 σ ab = ( σ ATN - σ 0 )/ C MA,其中 σ 0 的范围为 - 15.3 Mm -1 至 - 6.4 Mm -1,C MA 的范围为 2.65 至 3.21。根据这项研究的结果对测量的 σ ab 进行校正,可以为估计 BC 的辐射效应提供可靠的结果。
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引用次数: 0
Interannual Variation and Statistical Prediction of Summer Dry and Hot Days in South China from 1970 to 2018 1970-2018年中国南方夏季干热日的年际变化与统计预测
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.032
Xin Xue, Yan-xing Wu, Zhen Chen, Run Liu, Zhi-jun Zhao
: The frequent occurrence of dry and hot (DH) days in South China in summer has a negative impact on social development and human health. This study explored the variation characteristics of DH days and the possible reasons for this knotty problem. The findings revealed a notable increase in the number of DH days across most stations, indicating a significant upward trend. Additionally, DH events were observed to occur frequently. The number of DH days increased during 1970–1990, decreased from 1991 to 1997, and stayed stable after 1997. The key climate factors affecting the interannual variability of the number of DH days were the Indian Ocean Basin warming (IOBW) in spring and the East Asian Summer Monsoon (EASM). Compared with the negative phase of IOBW, in the positive phase of IOBW, 500 hPa and 850 hPa geopotential height enhanced, the West Pacific subtropical high strengthened and extended abnormally to the west, more solar radiation reached the surface, surface outgoing longwave radiation increased, and there was an anomalous anticyclone in eastern South China. The atmospheric circulation characteristics of the positive and negative phases of ESAM were opposite to those of IOBW, and the abnormal circulation of the positive (negative) phases of ESAM was unfavorable (favorable) for the increase in the number of DH days. A long-term prediction model for the number of summer DH days was established using multiple linear regression, incorporating the key climate factors. The correlation coefficient between the observed and predicted number of DH days was 0.65, and the root-mean-square error was 2.8. In addition, independent forecasts for 2019 showed a deviation of just 1 day. The results of the independent recovery test confirmed the stability of the model, providing evidence that climatic factors did have an impact on DH days in South China.
:华南地区夏季干热(DH)日频发,对社会发展和人类健康造成了负面影响。本研究探讨了干热日的变化特征以及造成这一棘手问题的可能原因。研究结果表明,大部分站点的干旱日数明显增加,呈显著上升趋势。此外,还观察到 DH 事件频繁发生。DH 日数在 1970-1990 年间增加,1991-1997 年间减少,1997 年后保持稳定。影响 DH 日数年际变化的主要气候因素是春季的印度洋海盆增温(IOBW)和东亚夏季季候风(EASM)。与印度洋海盆增温负相位相比,印度洋海盆增温正相位时,500 hPa和850 hPa位势高度增高,西太平洋副热带高压增强并异常向西延伸,到达地表的太阳辐射增多,地表出射长波辐射增加,华南东部出现异常反气旋。ESAM正负相的大气环流特征与IOBW相反,ESAM正(负)相的异常环流对DH日数的增加不利(有利)。结合主要气候因子,利用多元线性回归建立了夏季 DH 日数的长期预测模型。观测和预测的除湿日数之间的相关系数为 0.65,均方根误差为 2.8。此外,2019 年的独立预测显示偏差仅为 1 天。独立恢复测试的结果证实了模型的稳定性,证明气候因素确实对华南地区的 DH 天数有影响。
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引用次数: 0
Evaluation of Performance of Polar WRF Model in Simulating Precipitation over Qinghai-Tibet Plateau 极地 WRF 模型模拟青藏高原降水的性能评估
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.031
Jian-jun Xue, Zi-niu Xiao
: Considering the complex topographic forcing and large cryosphere concentration, the present study utilized the polar-optimized WRF model (Polar WRF) to conduct downscaling simulations over the Qinghai-Tibet Plateau (TP) and its surrounding regions. Multi-group experiments with the 10 km horizontal resolution are used to evaluate the modeling of precipitation. Firstly, on the basis of the model ground surface properties upgrade and the optimized Noah-MP, the “better-performing” configuration suite for modeling precipitation is comprehensively examined. Various model parameters such as nudging options, five cumulus parameterization schemes, two planetary boundary layer schemes, and six microphysics schemes are investigated to further refine the Polar WRF configuration. Moreover, the precipitation simulation for a full calendar year is compared with multiple reanalyses and observations. The simulations demonstrate that the Polar WRF model successfully captures the general features of precipitation over this region and is sensitive to model parameters. Based on the results, it is recommended to use grid nudging with q intensity coefficient of 0.0002, the multi-scale kain-fritsch cumulus parameterization, the Yonsei University boundary layer scheme, and the Morrison 2-mom microphysics with reduced default droplet concentration value of 100 cm –3 . Overall, the model performance is better than the ERA-interim and TRMM 3b42. It is comparable to, and in some cases slightly better than, the CRA-Land, especially in the prediction for the western part of the plateau where in situ observations are limited, and the cryosphere-atmosphere interaction is more pronounced.
:考虑到复杂的地形强迫和巨大的冰冻圈聚集,本研究利用极地优化的 WRF 模式(极地 WRF)对青藏高原及其周边地区进行降尺度模拟。采用水平分辨率为 10 km 的多组试验来评估降水建模。首先,在模型地表属性升级和 Noah-MP 优化的基础上,全面考察了降水建模的 "性能更优 "配置套件。研究了各种模式参数,如推移选项、五种积云参数化方案、两种行星边界层方案和六种微物理方案,进一步完善了极地 WRF 配置。此外,还将整个日历年的降水模拟与多个再分析和观测结果进行了比较。模拟结果表明,极地 WRF 模式成功捕捉到了该地区降水的一般特征,并且对模型参数非常敏感。根据模拟结果,建议使用 q 强度系数为 0.0002 的网格推移、多尺度 kain-fritsch 积云参数化、延世大学边界层方案和 Morrison 2-mom 微物理,并降低默认水滴浓度值 100 cm -3。总体而言,模式性能优于 ERA-interim 和 TRMM 3b42。尤其是在高原西部的预测方面,因为那里的原地观测数据有限,冰冻圈-大气相互作用更为明显。
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引用次数: 0
Zoning Evaluation of Hourly Precipitation in High-resolution Regional Numerical Models over Hainan Island 海南岛上空高分辨率区域数值模式逐时降水分区评价
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.034
Xiao Feng, Yu Wu, Wei Yang, Xun Li
: This study assesses the performance of three high-resolution regional numerical models in predicting hourly rainfall over Hainan Island from April to October for the years from 2020 to 2022. The rainfall amount, frequency, intensity, duration, and diurnal cycle are examined through zoning evaluation. The results show that the China Meteorological Administration Guangdong Rapid Update Assimilation Numerical Forecast System (CMA-GD) tends to forecast a higher occurrence of light precipitation. It underestimates the late afternoon precipitation and the occurrence of short-duration events. The China Meteorological Administration Shanghai Numerical Forecast Model System (CMA-SH9) reproduces excessive precipitation at a higher frequency and intensity throughout the island. It overestimates rainfall during the late afternoon and midnight periods. The simulated most frequent peak times of rainfall in CMA-SH9 are 0–1 hour deviations from the observed data. The China Meteorological Administration Mesoscale Weather Numerical Forecasting System (CMA-MESO) displays a similar pattern to rainfall observations but fails to replicate reasonable structure and diurnal variation of frequency-intensity. It underestimates the occurrence of long-duration events and overestimates related rainfall amounts from midnight to early morning. Notably, significant discrepancies are observed in the predictions of the three models for areas with complex terrain, such as the central, southeastern, and southwestern regions of Hainan Island.
:本研究评估了三个高分辨率区域数值模式在预测海南岛 2020 年至 2022 年 4 月至 10 月每小时降雨量方面的性能。通过分区评价,考察了降雨量、频率、强度、持续时间和昼夜周期。结果表明,中国气象局广东快速更新同化数值预报系统(CMA-GD)倾向于预报较多的小雨。它低估了午后降水和短时事件的发生。中国气象局上海数值预报模式系统(CMA-SH9)再现了全岛较高频率和强度的过量降水。它高估了午后和午夜时段的降雨量。CMA-SH9 中模拟的最频繁的降雨高峰时段与观测数据相差 0-1 小时。中国气象局中尺度天气数值预报系统(CMA-MESO)显示了与降雨观测相似的模式,但未能复制降雨频率-强度的合理结构和日变化。该系统低估了长时间降雨事件的发生率,并高估了午夜至清晨的相关降雨量。值得注意的是,在地形复杂的地区,如海南岛中部、东南部和西南部地区,三种模式的预测结果存在明显差异。
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引用次数: 0
Adaptive Wind Gust and Associated Gust-factor Model for the Gust-producing Weather over the Northern South China Sea 南海北部阵风天气的自适应阵风及相关阵风因子模型
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.029
Ling Huang, Chun-xia Liu, Qian Liu
: Wind gusts are common environmental hazards that can damage buildings, bridges, aircraft, and cruise ships and interrupt electric power distribution, air traffic, waterway transport and port operations. Accurately predicting peak wind gusts in numerical models is essential for saving lives and preventing economic losses. This study investigates the climatology of peak wind gusts and their associated gust factors (GFs) using observations in the coastal and open ocean of the northern South China Sea (NSCS), where severe gust-producing weather occurs throughout the year. The stratified climatology demonstrates that the peak wind gust and GF vary with seasons and particularly with weather types. Based on the inversely proportional relationship between the GF and mean wind speed (MWS), a variety of GF models are constructed through least squares regression analysis. Peak gust speed (PGS) forecasts are obtained through the GF models by multiplying the GFs by observed wind speeds rather than forecasted wind speeds. The errors are thus entirely due to the representation of the GF models. The GF models are improved with weather-adaptive GFs, as evaluated by the stratified MWS. Nevertheless, these weather-adaptive GF models show negative bias for predicting stronger PGSs due to insufficient data representation of the extreme wind gusts. The evaluation of the above models provides insight into maximizing the performance of GF models. This study further proposes a stratified process for forecasting peak wind gusts for routine operations.
:阵风是一种常见的环境危害,可损坏建筑物、桥梁、飞机和游轮,中断电力分配、空中交通、水路运输和港口作业。在数值模型中准确预测阵风峰值对于挽救生命和防止经济损失至关重要。本研究利用南海北部沿海和开阔海域(NSCS)的观测资料,研究了峰值阵风的气候学及其相关阵风因子(GFs)。分层气候学表明,峰值阵风和阵风系数随季节特别是天气类型而变化。根据阵风和平均风速(MWS)之间的反比关系,通过最小二乘法回归分析构建了各种阵风模型。通过 GF 模型,将 GF 乘以观测风速而不是预报风速,就可以得到峰值阵风风速(PGS)预报。因此,误差完全由 GF 模式的表示方法造成。根据分层风速测量系统的评估,采用天气适应性 GF 对 GF 模型进行了改进。然而,由于对极端阵风的数据表示不足,这些天气适应性 GF 模型在预测更强的 PGS 方面显示出负面偏差。对上述模型的评估为最大限度地提高 GF 模型的性能提供了启示。本研究进一步提出了常规运行中预测峰值阵风的分层流程。
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引用次数: 0
Observational and Mechanistic Analysis of a Nighttime Warm-Sector Heavy Rainfall Event Within the Subtropical High over the Southeastern Coast of China 中国东南沿海副热带高压区夜间暖扇区强降雨事件的观测与机理分析
IF 1.2 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-12-01 DOI: 10.3724/j.1006-8775.2023.033
Long-bin Ye, Jing Zhu, Yun Chen, Fei Li, Lin-ye Zheng
: In August 2021, a warm-sector heavy rainfall event under the control of the western Pacific subtropical high occurred over the southeastern coast of China. Induced by a linearly shaped mesoscale convective system (MCS), this heavy rainfall event was characterized by localized heavy rainfall, high cumulative rainfall, and extreme rainfall intensity. Using various observational data, this study first analyzed the precipitation features and radar reflectivity evolution. It then examined the role of environmental conditions and the relationship between the ambient wind field and convective initiation (CI). Furthermore, the dynamic lifting mechanism within the organization of the MCS was revealed by employing multi-Doppler radar retrieval methods. Results demonstrated that the linearly shaped MCS, developed under the influence of the subtropical high, was the primary cause of the extreme rainfall event. High temperatures and humidity, coupled with the convergence of low-level southerly winds, established the environmental conditions for MCS development. The superposition of the convergence zone generated by the southerly winds in the boundary layer (925–1000 hPa) and the divergence zone in the lower layer (700–925 hPa) supplied dynamic lifting conditions for CI. Additionally, a long-term shear line (southerly southwesterly) offered favorable conditions for the organization of the linearly shaped MCS. The combined effects of strengthening low-level southerly winds and secondary circulation in mid-upper levels were influential factors in the development and maintenance of the linearly shaped MCS.
:2021 年 8 月,在西太平洋副热带高压控制下,中国东南沿海发生了一次暖扇区强降雨事件。在线状中尺度对流系统(MCS)的诱导下,此次强降雨事件呈现出局地大暴雨、累积雨量大、降雨强度大的特点。本研究利用各种观测数据,首先分析了降水特征和雷达反射率的演变。然后,研究了环境条件的作用以及环境风场与对流启动(CI)之间的关系。此外,还采用多普勒雷达检索方法揭示了MCS组织内的动态抬升机制。研究结果表明,在副热带高气压影响下形成的线性对流状态是此次极端降雨事件的主要原因。高温和高湿,加上低层偏南风的辐合,为 MCS 的发展创造了环境条件。南风在边界层(925-1000 hPa)产生的辐合带与低层(700-925 hPa)的辐合带叠加,为 CI 提供了动态抬升条件。此外,一条长期切变线(偏南西南风)为线形多云天气的形成提供了有利条件。低层偏南风增强和中高层次级环流的共同作用,是线形多云天气发展和维持的影响因素。
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引用次数: 0
The Relationship Between Indian Ocean SST and Tropical Cyclone Genesis Frequency over North Indian Ocean in May 印度洋海温与5月北印度洋热带气旋发生频率的关系
4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-09-01 DOI: 10.3724/j.1006-8775.2023.027
Yan CHEN, Hong-ming YAN, Yun TAO, Kun-lin YANG, Meng-qiu WANG
: Tropical cyclone (TC) activities in the North Indian Ocean (NIO) peak in May during the pre-monsoon period, but the TC frequency shows obvious inter-annual variations. By conducting statistical analysis and dynamic diagnosis of long-term data from 1948 to 2016, the relationship between the inter-annual variations of Indian Ocean SST and NIO TC genesis frequency in May is analyzed in this paper. Furthermore, the potential mechanism concerning the effect of SST anomaly on TC frequency is also investigated. The findings are as follows: 1) there is a broadly consistent negative correlation between NIO TC frequency in May and SST in the Indian Ocean from March to May, with the key influencing area located in the southwestern Indian Ocean (SWIO); 2) the anomalies of SST in SWIO (SWIO-SST) are closely related to a teleconnection pattern surrounding the Indian Ocean, which can significantly modulate the high-level divergence, mid-level vertical motion and other related environmental factors and ultimately influence the formation of TCs over the NIO; 3) the increasing trend of SWIO-SST may play an essential role in the downward trend of NIO TC frequency over the past 69 years.
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引用次数: 0
Diversity on the Interannual Variations of Spring Monthly Precipitation in Southern China and the Associated Tropical Sea Surface Temperature Anomalies 华南春季月降水年际变化多样性及其相关的热带海温异常
4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Pub Date : 2023-09-01 DOI: 10.3724/j.1006-8775.2023.025
Ru-yue GUO, Wei-juan PAN, Min-ling KE, Wei WEI, Zi-qian WANG
: There is a continuous and relatively stable rainy period every spring in southern China (SC). This spring precipitation process is a unique weather and climate phenomenon in East Asia. Previously, the variation characteristics and associated mechanisms of this precipitation process have been mostly discussed from the perspective of seasonal mean. Based on the observed and reanalysis datasets from 1982 to 2021, this study investigates the diversity of the interannual variations of monthly precipitation in spring in SC, and focuses on the potential influence of the tropical sea surface temperature (SST) anomalies. The results show that the interannual variations of monthly precipitation in spring in SC have significant differences, and the correlations between each two months are very weak. All the interannual variations of precipitation in three months are related to a similar western North Pacific anomalous anticyclone (WNPAC), and the southwesterlies at the western flank of WNPAC bring abundant water vapor for the precipitation in SC. However, the WNPAC is influenced by tropical SST anomalies in different regions each month. The interannual variation of precipitation in March in SC is mainly influenced by the signal of El Niño-Southern Oscillation, and the associated SST anomalies in the equatorial central-eastern Pacific regulate the WNPAC through the Pacific-East Asia (PEA) tele-connection. In contrast, the WNPAC associated with the interannual variation of precipitation in April can be affected by the SST anomalies in the northwestern equatorial Pacific through a thermally induced Rossby wave response. The interannual variation of precipitation in May is regulated by the SST anomalies around the western Maritime Continent, which stimulates the development of low-level anomalous anticyclones over the South China Sea and east of the Philippine Sea by driving anomalous meridional vertical circulation.
{"title":"Diversity on the Interannual Variations of Spring Monthly Precipitation in Southern China and the Associated Tropical Sea Surface Temperature Anomalies","authors":"Ru-yue GUO, Wei-juan PAN, Min-ling KE, Wei WEI, Zi-qian WANG","doi":"10.3724/j.1006-8775.2023.025","DOIUrl":"https://doi.org/10.3724/j.1006-8775.2023.025","url":null,"abstract":": There is a continuous and relatively stable rainy period every spring in southern China (SC). This spring precipitation process is a unique weather and climate phenomenon in East Asia. Previously, the variation characteristics and associated mechanisms of this precipitation process have been mostly discussed from the perspective of seasonal mean. Based on the observed and reanalysis datasets from 1982 to 2021, this study investigates the diversity of the interannual variations of monthly precipitation in spring in SC, and focuses on the potential influence of the tropical sea surface temperature (SST) anomalies. The results show that the interannual variations of monthly precipitation in spring in SC have significant differences, and the correlations between each two months are very weak. All the interannual variations of precipitation in three months are related to a similar western North Pacific anomalous anticyclone (WNPAC), and the southwesterlies at the western flank of WNPAC bring abundant water vapor for the precipitation in SC. However, the WNPAC is influenced by tropical SST anomalies in different regions each month. The interannual variation of precipitation in March in SC is mainly influenced by the signal of El Niño-Southern Oscillation, and the associated SST anomalies in the equatorial central-eastern Pacific regulate the WNPAC through the Pacific-East Asia (PEA) tele-connection. In contrast, the WNPAC associated with the interannual variation of precipitation in April can be affected by the SST anomalies in the northwestern equatorial Pacific through a thermally induced Rossby wave response. The interannual variation of precipitation in May is regulated by the SST anomalies around the western Maritime Continent, which stimulates the development of low-level anomalous anticyclones over the South China Sea and east of the Philippine Sea by driving anomalous meridional vertical circulation.","PeriodicalId":17432,"journal":{"name":"热带气象学报","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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热带气象学报
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