Analysis of circulation feature and water vapor transport of winter precipitation anomaly in Northern Xinjiang

doi:10.12006/j.issn.1673-1719.2018.044

Abstract

Abstract:

Circulation feature and water vapor transport of winter precipitation anomaly were studied by using the ERA-Interim reanalysis data and the daily rainfall observations of 49 meteorological stations in winter in Northern Xinjiang during 1979-2016. The analyzed results showed that two routes of water vapor transport had an effect on winter precipitation in Northern Xinjiang. The west water vapor passage was Mediterranean Sea-Black Sea-Caspian Sea-Aral Sea-Balkhash Lake-Northern Xinjiang, the southwest water vapor passage was Red Sea-Persian Gulf/southern Caspian Sea-Balkhash Lake-Northern Xinjiang. Two of the passages, the west water vapor passage was more important. The reasons for more (less) winter rainfall in Northern Xinjiang were that, on 500 hPa, high (Low) pressure was anomaly active in high latitude, transient low-pressure disturbance (high pressure) was unusually active in Siberia and high-pressure ridge (low-pressure trough) was unusually in Iranian plateau. The reasons for more (less) winter rainfalls in the northwest of Northern Xinjiang were that, on 500 hPa, positive (negative) anomaly was active in Scandinavian Peninsula, negative (positive) anomaly was active in Siberia-Iranian plateau, and low-pressure trough (high-pressure ridge) was unusually active in Mediterranean. The reasons for more (less) winter rainfalls in the west of Northern Xinjiang were that, on 500 hPa, negative (positive) anomaly was active in the southwest side of the Balkhash Lake, positive (negative) anomaly was active in Siberia. Three of the distributions, the most main distribution pattern was consistent in wintertime precipitation in Northern Xinjiang.

Key words: Northern Xinjiang, Winter precipitation, Water vapor transport, Circulation feature

Ya-Yun LI,Lian-Mei YANG. Analysis of circulation feature and water vapor transport of winter precipitation anomaly in Northern Xinjiang[J]. Climate Change Research, 2018, 14(5): 465-474.

Figures/Tables 10

Fig. 1 Distribution of annual precipitation during 1979-2016 in winter in Xinjiang

Fig. 2 Winter water vapor flux divergence (a) and standardization of precipitation (b) in Northern Xinjiang

Table 1 Variance contribution and accumulated variance contribution of the five main modes of wintertime precipitation in Northern Xinjiang

Fig. 3 The spatial distribution and time-coefficient series of three main modes of wintertime precipitation in Northern Xinjiang

Fig. 4 The correlation field between wintertime precipitation in Northern Xinjiang and the water vapor fluxes in the low-level (a), the upper-level (b), and the all-level (c), respectively (The correlation coefficients that are statistically significant at 90% confidence level are shaded; heavy and light shadings indicate positive and negative coefficient, respectively )

Fig. 5 The whole water vapor flux component field and its correlation field with wintertime precipitation in Northern Xinjiang

Fig. 6 The boundary of water vapor transport (a) and the time series of water vapor budget of every boundary and wintertime precipitation (b)

Fig. 7 The water vapor flux and circulation feature in wet (a, c, e) /dry (b, d, f) years in Northern Xinjiang: (a, b) height anomaly fields on 500 hPa, (c, d) wind anomaly fields on 700 hPa, (e, f) anomaly of water vapor flux (The anomalies that are statistically significant at 95% confidence level are shaded)

Fig. 8 The water vapor flux and circulation feature in wet (a, c, e) /dry (b, d, f) years in the northwest of Northern Xinjiang: (a, b) height anomaly fields on 500 hPa, (c, d) wind anomaly fields on 700 hPa, (e, f) anomaly of water vapor flux (The anomalies that are statistically significant at 95% confidence level are shaded)

Fig. 9 The water vapor flux and circulation feature in wet (a, c, e) /dry (b, d, f) years in the west of Northern Xinjiang: (a, b) height anomaly fields on 500hPa, (c, d) wind anomaly fields on 700hPa, (e, f) anomaly of water vapor flux (The anomalies that are statistically significant at 95% confidence level are shaded)

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