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Muita, R., Kucera, P., Aura, S., Muchemi, D., Gikungu, D., Mwangi, S., Steinson, M., Oloo, P., Maingi, N., Muigai, E., & Kamau, M. (2021). Towards Increasing Data Availability for Meteorological Services: Inter-Comparison of Meteorological Data from a Synoptic Weather Station and Two Automatic Weather Stations in Kenya. American Journal of Climate Change, 10, 300-316.
https://doi.org/10.4236/ajcc.2021.103014

has been cited by the following article:

• TITLE: Analysis of Dust Weather Process in Most Areas of China from January 11 to 16, 2021

  AUTHORS: Tianyu Xu

  KEYWORDS: Dust Weather, Cold Front, Cyclone

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.10 No.11, November 28, 2022

  ABSTRACT: The DERF2.0 model of China National Climate Center and NCEP (National Centers for Environmental Prediction) data were used in this paper. Using the knowledge of synoptic principles, the process of dust weather in most parts of China from January 11 to 16, 2021 was analyzed. The results show that: 1) Compared with previous years, this process has a large impact scope and appears earlier. 2) The continuous cold air caused the dust weather process. 3) The surface cold front is conducive to the development of dust. 4) Surface cyclone is conducive to the transport and diffusion of dust.