**Probability Forecasting in Meteorology**

Efforts to quantify the uncertainty in weather forecasts began more than 75 years ago, and many studies and experiments involving objective and subjective probability forecasting have been conducted in meteorology in the intervening period. Moreover, the U.S. National Weather Service (NWS) initiated a nationwide program in 1965 in which precipitation probability forecasts were formulated on an operational basis and routinely disseminated to the general public. In addition, the NWS now prepares objective probability forecasts for many variables, using statistical procedures. Hence probability forecasting in meteorology is unique in that very large sets of probability forecasts that have been subjected to detailed evaluation are available. [1]

**GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water**

Emerging networks of Global Positioning System (GPS) receivers can be used in the remote sensing of atmospheric water vapor. The time-varying zenith wet delay observed at each GPS receiver in a network can be transformed into an estimate of the precipitable water overlying that receiver. This transformation is achieved by multiplying the zenith wet delay by a factor whose magnitude is a function of certain constants related to the refractivity of moist air and of the weighted mean temperature of the atmosphere. [2]

**Handbook of statistical methods in meteorology**

Although intended for the meteorological worker, at least twenty out of the twenty-two chapters of this book are concerned with statistical methods of general adaptability and may well be turned to by the more general scientist seeking an insight into the application of these methods, and their application to numerical data. The material is up-to-date, and authoritatively set out. [3]

**Trend Analysis of Hydro-meteorological Data for River Kaduna at Shiroro Dam Site, Niger State Nigeria**

Variation in the hydro-climatic variables of River Kaduna at Shiroro Dam site, Nigeria is linked to a number of climate change activities around the river. In view of this, the paper aims at examining the trend of stream flow, rainfall, temperature and evaporation. [4]

**The Role of Meteorology for Seasonal Variation in Air Pollution Level in Eleme, Rivers State, Nigeria**

Meteorological variables play important roles in the dispersion and dilution of air pollutants in an area. This study investigates the influence of meteorological parameters on seasonal variations of air pollutants in a semi industrial area. A ten year set of air quality and meteorological data were collected and used in the study. [5]

Reference

[1] Murphy, A.H. and Winkler, R.L., 1984. Probability forecasting in meteorology. Journal of the American Statistical Association, 79(387), pp.489-500.

[2] Bevis, M., Businger, S., Chiswell, S., Herring, T.A., Anthes, R.A., Rocken, C. and Ware, R.H., 1994. GPS meteorology: Mapping zenith wet delays onto precipitable water. Journal of applied meteorology, 33(3), pp.379-386.

[3] Brooks, C.E.P. and Carruthers, N., 1953. Handbook of statistical methods in meteorology. Handbook of statistical methods in meteorology.

[4]Abayomi, K. I., Murtala, A. I., Babatunde, O. and Suleiman, A. (2015) “Trend Analysis of Hydro-meteorological Data for River Kaduna at Shiroro Dam Site, Niger State Nigeria”, Journal of Scientific Research and Reports, 8(5), pp. 1-12. doi: 10.9734/JSRR/2015/18331.

[5] Yorkor, B., Leton, T. G. and Ugbebor, J. N. (2017) “The Role of Meteorology for Seasonal Variation in Air Pollution Level in Eleme, Rivers State, Nigeria”, Journal of Scientific Research and Reports, 17(3), pp. 1-17. doi: 10.9734/JSRR/2017/36613.