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प्रश्न
- Collect weather information over media such as newspaper, TV and radio for understanding the weather systems.
- Read the section on weather in any newspaper, preferably, one having a map showing a satellite picture. Mark the area of cloudiness. Attempt to infer the atmospheric circulation from the distribution of clouds. Compare the forecast given in the newspaper with the TV coverage, if you have access to TV. Estimate, how many days in a week was the forecast were accurate.
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उत्तर
For one week, collect weather information from your chosen sources (e.g., The Times of India for newspaper, NDTV or Doordarshan for TV, and All India Radio for radio).
| Day | Source(s) Used | Key Weather Information Noticed (e.g., temperature, rainfall, cloud cover) | Weather System Understood (e.g., approaching low-pressure system, clear skies due to high pressure, monsoon conditions) |
| Day 1 | Newspaper & TV | Max: \[32^\circ\text{C}\], Min: \[24^\circ\text{C}\], Heavy rain, Overcast skies | Likely arrival of a depression or cyclonic circulation from the Bay of Bengal. |
| Day 2 | Newspaper & Radio | Max: \[33^\circ\text{C}\], Min: \[25^\circ\text{C}\], Moderate rain, Cloudy | Continued influence of the weather system, weakening slightly. |
| Day 3 | TV & Radio | Max: \[34^\circ\text{C}\], Min: \[24^\circ\text{C}\], Light drizzle, Partly cloudy | The system is moving away; atmosphere is stabilizing. |
| Day 4 | Newspaper | Max: \[36^\circ\text{C}\], Min: \[23^\circ\text{C}\], Dry, Clear skies | System has passed; local heating is dominant. |
| Day 5 | Newspaper & TV | Max: \[35^\circ\text{C}\], Min: \[24^\circ\text{C}\], Sunny, Scattered clouds | Normal weather for the season; typical convection. |
| Day 6 | TV & Radio | Max: \[33^\circ\text{C}\], Min: v25^\circ\text{C}\], Thunderstorms in evening | Indicates local humidity and evening instability (common pre-monsoon or late-monsoon). |
| Day 7 | Newspaper | Max: \[34^\circ\text{C}\], Min: \[24^\circ\text{C}\], Humid, Partly cloudy | Stable, slightly humid conditions. |
This section requires you to analyze a weather map and compare forecasts.
A. Satellite Picture Analysis:
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Task: Find a weather map in your newspaper (like the one often shown by the India Meteorological Department - IMD) that includes a satellite image.
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Your Observation: Look for large white swirling or patchy areas, which indicate thick clouds.
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Inference:
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If there is a large, dense, circular mass of clouds, it might indicate a cyclonic storm.
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If there are long, thick bands of clouds, it could show an active monsoon trough or a western disturbance.
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Example Inference: "The satellite picture shows a dense patch of clouds over the coastal districts, indicating heavy moisture influx and potential heavy rainfall associated with the ongoing monsoon."
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B. Forecast Comparison:
Keep track of the forecasts given by your sources the previous day versus what actually happened.
| Day | Yesterday's Newspaper Forecast for Today | Yesterday's TV Forecast for Today | Today's Actual Weather (What happened) |
| Day 1 | Heavy rain | Heavy rain, thunderstorm | Accurate: Heavy rain occurred. |
| Day 2 | Moderate rain | Cloudy with slight drizzle | Mostly Accurate: Moderate rain occurred, slightly more than the TV forecast suggested. |
| Day 3 | Cloudy, clearing later | Clear skies | Inaccurate: Remained cloudy with light drizzle all day. |
| Day 4 | Sunny and hot | Sunny and hot | Accurate: Day was sunny and hot. |
| Day 5 | Partly cloudy | Sunny with few clouds | Accurate: It was partly cloudy with some sunshine. |
| Day 6 | Clear, humid | Clear, isolated evening showers | Accurate: Evening thunderstorms matched the TV forecast. |
| Day 7 | Humid, stable | Humid, stable | Accurate: Conditions were as forecast. |
C. Conclusion and Accuracy Estimation:
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Task: Based on your table above, count how many daily forecasts (from either source) matched the actual weather.
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Example Calculation: "Out of 14 individual forecasts checked (7 days x 2 sources), 12 forecasts were found to be accurate. Therefore, the forecasts were accurate approximately 85% of the time during this observation week."
