Q7 · UPPSC PCS Mains 2024 · GS VI (UP) · 8 marks · ~125 words in the hall · 2 min read

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Mention the technological advancements adopted by the Uttar Pradesh Government to improve weather forecasting.

Topic: Environment and climate of UP. Syllabus: Pollution and Environmental Issues in UP, Pollution Control Board and its functions. Natural Resources of UP — Soil, Water, Air, Forests, Grasslands, Wetlands. Climate Change and Weather Forecasting issues in UP. Habitat and Ecosystem, structure and function, adjustment, Flora and Fauna with reference to UP. Same official PYQ from year-wise 2024 and Environment and climate of UP.

Revision summary

U.P. densifies Doppler radar and automatic weather stations rather than replacing IMD. UPRSAC adds satellite drought, flood, and crop layers. Lightning and heat monitoring feed seasonal alerts. Agromet bulletins and SDMA channels carry the forecast to farmers and districts. Last-mile phones and power still decide whether a warning becomes action.

Model answer

Introduction

Weather in Uttar Pradesh is a farm, flood, heat, and lightning problem. The state does not replace the India Meteorological Department; it densifies sensors, uses remote sensing, and pushes district alerts so that a warning reaches the block, not only a Lucknow briefing.

Body

Observing systems

  • Doppler Weather Radar coverage, including the Lucknow radar and expansion toward other cities, gives now-cast of thunderstorms that older sparse observatories missed.
  • Automatic Weather Stations and automatic rain gauges thicken the mesh so that a tehsil rain is not guessed from a distant city airport.
  • Uttar Pradesh Remote Sensing Applications Centre uses satellite layers for drought, flood inundation, and crop condition beside IMD charts.
  • Lightning-detection feeds and heat-index monitoring support early warnings in pre-monsoon and May–June peaks.

Forecast to the farmer and the district

  • Agromet Field Units and crop-weather bulletins turn a city forecast into sowing, spray, and irrigation advice through Krishi and SMS channels.
  • U.P. State Disaster Management Authority and district control rooms push IMD now-casts as heat, flood, and thunderstorm alerts on apps, sirens, and the CM helpline stack.
  • Integration with agriculture and revenue dashboards is the administrative advance: a forecast that sits in a PDF is not yet a public technology.

Limit

  • A denser mesh still depends on IMD science and on last-mile power and phones; a radar does not by itself move a village out of a floodplain.

Flow diagram

flowchart TD
  DWR[Doppler radar AWS] --> NC[Now-cast]
  RS[UPRSAC satellite] --> DR[Drought flood crop]
  NC --> AL[SDMA district alerts]
  DR --> AG[Agromet farmer SMS]
  AL --> ACT[Block action]
  AG[AG] --> ACT[ACT]

Conclusion

U.P. has improved forecasting by densifying Doppler radar and automatic stations, using UPRSAC satellite products, and pushing agromet and SDMA alerts to districts. The advance is observation plus dissemination. The science core remains national IMD, which the state localises rather than replaces.

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