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Contribution of shallow convection to the localization of a band shaped area of heavy precipitation on 4 July 2020 浅层对流对2020年7月4日强降水局域化的贡献

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-11-28 DOI: 10.2151/sola.2024-001

Mikio Nakanishi

On 4 July 2020, a quasi-stationary band-shaped area of heavy precipitation occurred near the center of Kyushu, Japan. The contribution of shallow convection to the localization of the precipitation area is examined using the Weather Research and Forecasting model. Two turbulent transport schemes, the Yonsei University scheme and the Mellor–Yamada–Nakanishi–Niino (MYNN) scheme, are selected. Simulations are performed for a 5-km horizontal resolution domain (SIM1) and a 1-km horizontal resolution domain nested within the 5-km resolution domain (SIM2). The results show that SIM1 predicts a more northerly bias than a radar/raingauge-analyzed precipitation area but provides a relatively small bias for the MYNN scheme, and SIM2 predicts the analyzed precipitation area reasonably well for both schemes. They also suggest that the improvement in SIM2s is due to the transition from shallow to deep convection upwind of the southwesterly wind, and the MYNN scheme with a partial condensation scheme in SIM1 reasonably simulates the growth of shallow convection by parameterizing the buoyancy production of turbulence associated with cloud formation. It is expected that the accurate prediction of shallow convection can improve the reproduction of the location of heavy precipitation areas.

2020年7月4日，日本九州中部附近出现准静止带状强降水区。利用天气研究与预报模式考察了浅对流对降水区域局域化的贡献。选择了两个湍流运输方案，延世大学方案和Mellor-Yamada-Nakanishi-Niino (MYNN)方案。模拟了5 km水平分辨率域(SIM1)和嵌套在5 km分辨率域(SIM2)中的1 km水平分辨率域。结果表明，与雷达/雨量计分析的降水区域相比，SIM1预测的偏北偏大，但对MYNN方案的偏小，SIM2对两种方案的分析降水区域的预测都比较好。他们还认为sim2的改善是由于西南风逆风从浅对流到深对流的转变，SIM1中带有部分凝结方案的MYNN方案通过参数化与云形成相关的湍流浮力产生，合理地模拟了浅对流的增长。预计对浅对流的准确预报可以改善强降水区域位置的再现。

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引用次数: 0

Land surface physics-based downscaling approach for agricultural meteorological prediction: Applicability for tropical-monsoon region, the Red River Delta, Vietnam 基于地表物理的农业气象预报降尺度方法:对越南红河三角洲热带季风区的适用性

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-11-21 DOI: 10.2151/sola.2023-039

Mau Nguyen-Dang, Quang-Van Doan, Duong-Trịnh Hoang, Thanh-Hung Nguyen, Do Ngoc Khanh, Duong Cao Phan, Tam Tran-Thi, Hieu-Nguyen Van, Tuan Bui-Minh

This study represents a pioneering effort to establish a downscaling framework named “land-surface-physics-based downscaling” (LSP-DS) for agricultural meteorological prediction in the tropical-monsoon region of the Red River Delta, Vietnam. The primary focus of this article is to evaluate the performance of LSP-DS on meteorological variables, specifically temperature and humidity. In details, LSP-DS, which is based on the NCAR's Noah Multi-Parameterizations land surface model, incorporated by recently developed land use/cover data for Vietnam released by JAXA, is forced by ERA5 data for 2013; and the results are compared with ground-based station observations. The results exhibit excellent performance of LSP-DS versus observations with consistently high correlation coefficient between the two, highlighting the high potential of using LSP-DS for real-time operational forecast. The LSP-DS performance varies with different sub land use/cover categories, implying that the proper parameter settings could be key point for improvement. The findings of this research underscore the dual strengths of the LSP-DS approach: its computational efficiency and its remarkable efficacy in predicting spatial heterogeneity of local climates. These attributes render it well-suited for agrometeorological forecasting in a tropical monsoon climate, exemplified by the Red River Delta in Vietnam.

本研究为越南红河三角洲热带季风区农业气象预报建立了一个名为“陆地-地表物理降尺度”(LSP-DS)的降尺度框架，这是一项开创性的努力。本文的主要重点是评估LSP-DS对气象变量，特别是温度和湿度的性能。其中，LSP-DS基于NCAR的Noah多参数化地表模型，并结合JAXA最近开发的越南土地利用/覆被数据，采用ERA5 2013年数据进行强制反演;并与地面站观测结果进行了比较。结果表明，与观测结果相比，LSP-DS具有优异的性能，两者之间具有一致的高相关系数，突出了使用LSP-DS进行实时作战预报的巨大潜力。不同的子土地利用/覆被类型对LSP-DS性能的影响不同，表明适当的参数设置可能是改善的关键。本研究结果强调了LSP-DS方法的双重优势:其计算效率和在预测局部气候空间异质性方面的显著效果。这些特性使它非常适合于热带季风气候的农业气象预报，例如越南的红河三角洲。

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引用次数: 0

Diurnal SST warming and the boreal summer intraseasonal oscillation in the Philippine Sea: contrasts between early and late summer 菲律宾海海温日增温与北方夏季季节内振荡:夏初和夏末的对比

4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-038

Ayako Seiki, Akira Nagano, Ning Zhao, Iwao Ueki, Satoru Yokoi

The relationship between diurnal fluctuations of sea surface temperature (SST) in the Philippine Sea and the boreal summer intraseasonal oscillation (BSISO) and its difference between early and late summer are investigated using four-year (2017-2020) data of a moored buoy deployed at 137°E, 13°N. A strong diurnal cycle of SST is observed frequently during convectively suppressed phases of the BSISO, simultaneous with a weakening of surface winds and enhanced insolation. In addition, abrupt SST warming along with the strong diurnal cycle occurred in the middle of May in 2018 and 2019, in conjunction with the first BSISO of the year. Interestingly, the convectively suppressed phases of second BSISO showed small SST warming albeit the strong diurnal cycle, which can be attributed to a deepening of the warm isothermal layer. In the remaining two years, 2017 and 2020, SST increased gradually with small diurnal SST amplitude, which is presumably attributed to continuous surface winds with moderate strengths mixing the upper ocean. Moreover, the first BSISO was observed in late summer. These results suggest that the abrupt SST warming associated with the strong diurnal cycle is linked to the seasonal onset of the BSISO.

利用位于137°E, 13°N的系泊浮标的4年(2017-2020年)数据，研究了菲律宾海海表温度(SST)日波动与北方夏季季节内振荡(BSISO)的关系及其夏初和夏末的差异。在BSISO对流抑制阶段，频繁观测到强烈的海温日循环，同时地面风减弱，日照增强。此外，2018年5月中旬和2019年5月中旬，海温突变增温伴随着强烈的日循环，同时出现了当年的第一次BSISO。有趣的是，第二次BSISO对流抑制期虽然表现出较强的日循环，但海温增温幅度较小，这可归因于暖等温层的加深。其余2年(2017年和2020年)海温逐渐升高，日海温幅值较小，这可能与持续的中等强度地面风混合上层海洋有关。第一次BSISO是在夏末观测到的。这些结果表明，与强日循环相关的海温突变增温与BSISO的季节性爆发有关。

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引用次数: 0

Regional extreme precipitation events in wintertime Japan facilitated by East-Asian large-scale flow patterns 东亚大尺度环流模式对日本冬季区域极端降水事件的促进作用

4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-033

Takumi Matsunobu, Julian F. Quinting, Christian M. Grams, Mio Matsueda

The statistical and dynamical relationships between regional extreme precipitation events (EPEs) during wintertime in five Japanese regions and East-Asian synoptic weather patterns are addressed. 4 Two of the five weather patterns, the southerly flow (SF) and low pressure (LP), are associated with about 50% of EPEs in all the regions. A regional dependency is found, with SF being more likely to cause extreme precipitation in two regions in the south of Japan and LP in the other regions, respectively. The large-scale dynamics leading to EPEs in each region are assessed by a combined Lagrangian and Eulerian analysis. In the two southern regions, EPEs are predominantly associated with direct moisture supply from the subtropical oceans. This is modulated by the large-scale flow pattern of SF. In contrast, EPEs in the northern coastal areas of the Sea of Japan and the Pacific Ocean are influenced by anomalous moisture supply from the cyclone-induced moisture convergence modulated by LP. The eastern coastal region of the Sea of Japan shows a mixture of both these moisture supply mechanisms. The strong link between EPEs and synoptic patterns might help to improve predictions of extreme events, even on the sub-seasonal forecast horizon.

研究了日本5个地区冬季区域极端降水事件与东亚天气型之间的统计和动力关系。5种天气模式中的两种，南风(SF)和低压(LP)与所有地区约50%的epe有关。研究发现，在日本南部的两个地区，SF更容易引起极端降水，而在其他地区，LP更容易引起极端降水。通过拉格朗日和欧拉的联合分析，评估了导致各区域EPEs的大尺度动力学。在南部两个地区，epe主要与副热带海洋的直接水汽供应有关。这是由SF的大尺度流型调制的。相比之下，日本海和太平洋北部沿海地区的epe受到低压调制的气旋引起的水汽辐合的异常水汽供应的影响。日本海东部沿海地区表现出这两种水汽供应机制的混合。epe与天气型态之间的密切联系可能有助于改进对极端事件的预测，甚至在分季节预报层面上也是如此。

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引用次数: 0

Monitoring of recent aridification in Türkiye using MODIS satellite data from 2000 to 2021 利用2000 - 2021年MODIS卫星数据监测<s:1>基尔基耶近期干旱化情况

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-013

R. Kimura, M. Moriyama, L. Şaylan

引用次数: 0

Water vapor in the upper troposphere above Syowa Station in the Antarctic: Its variations and causes 南极Syowa站对流层上层水汽的变化及其成因

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-012

Y. Tomikawa, M. Kohma, M. Takeda, Kaoru Sato

引用次数: 1

Intercomparison of Synthetic Inflow Turbulence Generation Methods for Large-Eddy Simulation Models in Thermally Driven Convective Boundary Layer Simulations 热驱动对流边界层模拟中大涡模拟模型综合入流湍流产生方法的比较

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-022

Takuto Sato, H. Kusaka

引用次数: 0

Tropical Cyclone Track Modified by a Front Located to the Northeast 位于东北方向的一个锋改变了热带气旋路径

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-015

S. Hirano, Kosuke Ito, Hiroyuki Yamada

引用次数: 0

A projection of future JPCZs by WRF dynamical downscaling simulations based on MIROC6 ScenarioMIP ssp585 基于MIROC6 scenario omip ssp585的WRF动态降尺度模拟对未来jpcz的预测

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-014

T. Kawano, Rina Yasukiyo, R. Kawamura, T. Mochizuki

引用次数: 0

Mechanism for the Abnormal Extension of North Pacific Subtropical High toward Japan in Late June 2022 2022年6月下旬北太平洋副热带高压向日本异常延伸的机制

IF 1.9 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Sola

Pub Date : 2023-01-01 DOI: 10.2151/sola.2023-001

Kazuto Takemura, H. Mukougawa

引用次数: 0

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