贵州省两次气象干旱对比分析及基于机器学习的干旱预测模型建立 |
王玥彤, 何东坡, 李忠燕, 王烁, 陈早阳 |
Analysis of two meteorological drought events in Guizhou Province and establishment of drought prediction model based on machine learning |
WANG Yuetong, HE Dongpo, LI Zhongyan, WANG Shuo, CHEN Zaoyang |
图4 2011(a、c、e)、2022(b、d、f)年200 hPa(a、b)、500 hPa(c、d)位势高度场(等值线)及其距平(填色)(单位:gpm)及850 hPa(e、f)风场距平(单位:m·s-1) (红色实线为气候态;A为反气旋式环流,C为气旋式环流;蓝色箭头为风场距平方向) |
Fig.4 The geopotential height field (contours) and its anomaly (the color shaded) at 200 hPa (a, b) and 500 hPa (c, d) (Unit: gpm),and wind field anomaly (Unit: m·s-1) at 850 hPa (e, f) in 2011 (a, c, e) and 2022 (b, d, f) (The red line indicates climatic state; the character A indicates anticyclonic circulation and C indicates cyclonic circulation; the blue arrows indicate the direction of wind anomaly) |
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