Time series analysis and statistical significance of trends in rainfall data was carried out using standard Mann-Kendall test statistics. The non-parametric Mann-Kendall (M-K) statistical rank test, which is widely used in climate research, was employed in this study to find out fluctuations and presence of trend in time series data of rainfall at a single station, as well as regional averages.

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The paper investigate probability distribution of daily minimum temperature during winter (November to February) based on meteorological data of Jalgaon weather station for the period of agriculture years 1973-74 to 2015-16.

Original Source

Weather plays an important role in agricultural production. It plays a major role before and during the cropping season and if the same is provided well in advance, it results in inspiring the farmers to organize and activate their own resources in the best possible way to increase the crop production.

Given the importance of aerosol particles to radiative transfer via aerosol-radiation interactions, a methodology for tracking and diagnosing causes of temporal changes in regional-scale aerosol populations is illustrated. The aerosol optical properties tracked include estimates of total columnar burden (aerosol optical depth, AOD), dominant size mode (Ångström exponent, AE), and relative magnitude of radiation scattering versus absorption (single scattering albedo, SSA), along with metrics of the structure of the spatial feld of these properties.

The ability of very high frequency (VHF) (∼50 MHz) windprofilers to measure backscatter, winds and turbulence in the troposphere and the lower stratosphere gives them a unique perspective not available with many other remote sounding radar techniques. This capability has been utilized to study the environment of 31 tornadoes generated in the provinces of Ontario and Quebec in Canada over an 11-year period. Tornadoes were mostly of Enhanced Fujita (EF) types EF0 to EF2, with one being EF3. Focus is on events which produced visible damage.