Ashok Patel is an popular Indian weather blogger based in Rajkot, Gujarat. He runs a website which is very popular in Gujarat and other states of India. Ashok patel is a Gujrati Weather Analyst, Chemical Engineer, Independent Climate Researcher, Asset Allocation Strategist, Commodity Tracker.
His website
Weather website of Ashok Patel is followed by thousands of visitors clocking more than 10 Lac sessions in a Month during Monsoon & Millions page views in a year. Website of Ashok Pate Gujaratweather.com has been Ranked 26th among Top 100 Weather Blogs in the World and at Top position among Indian Weather Blogs.(According to the website)
The website of Ashok Patel provides weather forecasting in Gujarat. One can check the radar of Gujarat, India Monsoon and Bhuj. one can also check satellite images, rainfall radar and Indian Ocean Dipole.
Ashok regularly writes blogs on weather on the site and forecasts about Gujarat weather. Apart from that he also writes on other topics too.
Ashok Patel on Twitter
Ashok Patel has a twitter account which was created in 2010. However he is not followed by many people on twitter and only 567 people are following. He frequently posts on twitter. It is not known what motivates him to post the picture of ‘Awarded top 100 weather blog’ every time.
Education:
He is a chemical engineer by his education. Ashok Patel did MS Chemical Engineering from Illinois Institute of Technology in 1972-1974.
Experiences:
He was the manager of Arvind Industries. In 1998 he became the Executive Director of Arvind Extraction Pvt Ltd. In 2007 Ashok Patel founded RingRoad Weather Station in the Rajkot area. RingRoad Weather Station is a weather monitoring and forecasting station.
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Weather forecasting
Weather forecasting is the use of science and technology to forecast atmospheric conditions for a specific location and time. For millennia, people have sought to predict the weather informally, and systematically since the nineteenth century. Weather predictions are created by gathering quantitative data on the current state of the atmosphere, land, and ocean, and then applying meteorology to project how the atmosphere will change at a certain location.
Weather forecasting is currently based on computer-based models that take many atmospheric aspects into account, rather than being estimated manually based on changes in barometric pressure, present weather conditions, and sky condition or cloud cover.
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Pattern recognition skills, teleconnections, knowledge of model performance, and understanding of model biases are still required for selecting the best potential forecast model on which to base the forecast.
The chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, land, and ocean, the error involved in measuring the initial conditions, and an incomplete understanding of atmospheric and related processes are all factors that contribute to forecasting inaccuracy.
As a result, projections become less accurate as the time difference between now and the time for which the forecast is being made (the forecast range) grows. The use of ensembles and model consensus helps to reduce error and increase forecast confidence.
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