利用MWP967KV型地基微波辐射计及红外观测仪探测数据,对邢台市两次降水个例发生前的水汽含量(IWV)、液态水含量(ILW)和云底高度变化特征进行了分析。结果表明:层状云降水的IWV、ILW在降水前2~1 h的增幅要大于层状积状云降水发生前的IWV和ILW增幅,但降水前2~1 h的IWV、ILW绝对值却是层状积状云降水大于层状云降水;层状云降水的云底高度在降水前2~1 h的降幅要小于层状积状云降水发生前的云底高度降幅,且降水前2~1 h的云底高度绝对值也是层状积状云降水小于层状云降水。IWV呈持续增加时间 ≥ 2 h且IWV ≥ 4.20 cm,ILW呈明显增加时间 ≥ 2 h且ILW ≥ 0.119 mm,云底高度持续下降时间 ≥ 2 h,平均降幅 ≥ 0.34 km/h且云底高度 ≤ 2.69 km可作为判断未来1 h邢台市发生降水的参考指标。
The variation characteristics of water vapor content (IWV), liquid water content (ILW) and cloud base height before two precipitation cases in Xingtai City were analyzed by means of the data of MWP967KV ground-based microwave radiometer and infrared observation instrument. The results show that: the increase of IWV and ILW of stratiform precipitation in 2~1 h before precipitation is greater than that of stratiform precipitation, but the absolute value of IWV and ILW of stratiform precipitation in 2~1 h before precipitation is greater than that of stratiform precipitation. The decrease of cloud base height of stratiform cloud precipitation 2~1 h before precipitation is less than that of stratiform cumulus precipitation, and the absolute value of cloud base height of stratiform cumulus precipitation 2~1 h before precipitation is also less than that of stratiform cumulus precipitation. As the time when IWV continuously increased for ≥2 h and IWV ≥ 4.20 cm, ILW significantly increased for ≥2 h and ILW ≥ 0.119 mm, cloud base height continuously decreased for ≥2 h, average decrease for ≥0.34 km/h and cloud base height for ≤2.69 km, it can be utilized as a reference index to judge the occurrence of precipitation in Xingtai City in the next 1 h.
References
[1]
O’Gorman, P.A. and Muller, C.J. (2010) How Closely Do Changes in Surface and Column Water Vapor Follow Clau-sius-Clapeyron Scaling in Climate Change Simulations? Environmental Research Letters, 5, Article No. 025207.
https://doi.org/10.1088/1748-9326/5/2/025207
Guldner, J. (1999) Results of Year-Round Remotely Sensed Integrated Water Vapor by Ground-Based Microwave Radiometry. Journal of Applied Meteorology, 38, 981-988.
https://doi.org/10.1175/1520-0450(1999)038<0981:ROYRRS>2.0.CO;2
[9]
Chan, P.W. (2009) Performance and Application of a Multi-Wavelength, Ground-Based Microwave Radiometer in Intense Convective Weather. Meteor-ologische Zeitschrift, 18, 253-265.
https://doi.org/10.1127/0941-2948/2009/0375
Cadeddu, M.P., Turner, D.D. and Liljegren, J.C. (2009) A Neural Network for Real-Time Retriev-als of PWV and LWP From Arctic Millimeter-Wave Ground-Based Observations. IEEE Transactions on Geoscience & Remote Sensing, 47, 1887-1900. https://doi.org/10.1109/TGRS.2009.2013205