Journal of Arid Meteorology ›› 2026, Vol. 44 ›› Issue (1): 28-36.DOI: 10.11755/j.issn.1006-7639-2026-01-0028
• Column on "Regional Drought" • Previous Articles Next Articles
LUO Dongli1(
), ZHAO Erxu1,2(
), WAN Yunxia1,2
Received:2025-10-09
Revised:2026-01-07
Online:2026-02-28
Published:2026-03-25
通讯作者:
赵尔旭
作者简介:罗冬莉(1986—),女,云南人,工程师,主要从事干旱成因及季节内振荡研究。E-mail: 553529898@qq.com。
基金资助:CLC Number:
LUO Dongli, ZHAO Erxu, WAN Yunxia. Influence of the MJO and sea surface temperature anomalies on spring drought in 2019 in Yunnan[J]. Journal of Arid Meteorology, 2026, 44(1): 28-36.
罗冬莉, 赵尔旭, 万云霞. MJO及海温异常对云南2019年春季干旱的影响[J]. 干旱气象, 2026, 44(1): 28-36.
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URL: http://www.ghqx.org.cn/EN/10.11755/j.issn.1006-7639-2026-01-0028
Fig.2 Distribution of average geopotential height field (black solid lines, Unit: gpm),temperature field (red dashed lines, Unit: ℃),and wind field(green arrow vectors, Unit: m·s-1) at 500 hPa (a) and 700 hPa (b) in spring of 2019 (The black box indicates the Yunnan region, the same as below)
Fig.5 The distribution of the average OLR anomaly fields in the spring of 2019 (a) and May 2019 (b)(Unit: W·m-2) (The shaded area represents the value greater than or equal to 10)
Fig.6 The longitudinal-altitude cross-section of the wind field (arrow vectors,Unit: m·s-1) and vertical velocity (the color shaded,Unit: -10-2 Pa·s-1) along the equator averaged from March to May during the period 1979-2018
| 月份 | WI与WYI | Niño3.4与WYI | Niño3.4与WI |
|---|---|---|---|
| 3 | 0.35* | -0.32* | -0.76** |
| 4 | 0.42** | -0.49** | -0.87** |
| 5 | 0.42** | -0.49** | -0.72** |
Tab.1 The correlation coefficients between WYI and WI,and between the Ni?o3.4 index and WYI,WI from March to May during the period of 1979-2018
| 月份 | WI与WYI | Niño3.4与WYI | Niño3.4与WI |
|---|---|---|---|
| 3 | 0.35* | -0.32* | -0.76** |
| 4 | 0.42** | -0.49** | -0.87** |
| 5 | 0.42** | -0.49** | -0.72** |
Fig.8 The distribution of the difference between the average sea surface temperature field in spring (a) and May (b) of 2019 and the average sea surface temperature field of the same period from 1979 to 2018 (Unit: °C)
Fig.9 The correlation coefficients between the average OLR over the 0°-10°N,80°E-90°E region in spring from 1982 to 2018 and the sea surface temperature field in the same period (The yellow and red areas pass the significance tests at the 0.05 and 0.01 levels,respectively)
Fig.10 Distribution of the 700 hPa water vapor flux (arrow vectors,Unit: 10-5 kg·m-1·hPa-1·s-1) and the water vapor flux divergence (the colored shaded,Unit: 10-8 kg·m-2·hPa-1·s-1) in spring of 2019
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