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9. Rainfall Data in India
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Today, we'll learn about the rainfall data collected by the India Meteorological Department, or IMD. Can anyone tell me what organizations like IMD do?
They monitor the weather, right?
Exactly! They track various weather parameters, including rainfall. The IMD maintains real-time and historical rainfall data across India. Why do you think this data is important?
It helps in understanding weather patterns and predicting floods.
Correct! Plus, it aids in agricultural planning and disaster management. Now, what was the significance of May 2025 in the rainfall records?
It was the wettest month since 1901!
Right! The rainfall was 106% above the average. This shows how impactful weather can be. Remember, 'IMD' stands for 'Indian Meteorological Data!'
In summary, the IMD collects vital rainfall data crucial for analysis and planning.
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Let's discuss the record high rainfall in May 2025. What do you remember about that event?
The total rainfall was 126.7 mm!
Good, and why is this significant?
It was the highest since 1901, showing how rainfall trends can change.
Exactly! Trends like this can affect everything from agriculture to water supply. Can someone give me an example of rainfall data usefulness in a real situation?
Maybe for planning the harvest? Farmers need to know when it will rain.
Absolutely! Summarizing, the rainfall data helps in areas like agriculture and water resource management. Don't forget about the memorable rainfall averages!
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Today we'll explore how rainfall varies across India. Who can tell me which regions receive the most rainfall?
The western coast and northeastern areas get the highest amounts.
Correct! In particular, places like Cherrapunji get over 10,000 mm of rainfall a year! Why do you think these regions get so much rain?
Because of geographical features like mountains that trap moisture!
Exactly! Now, compared to areas like the northwestern regions with around 500 mm a year, the differences are quite stark. Summarizing, spatial variations in rainfall significantly impact regional planning and agriculture.
Overview
Short Summary
The section discusses the rainfall data provided by the India Meteorological Department (IMD), emphasizing trends, record rainfall events, and regional variations.
Medium Summary
This section details the rainfall records maintained by the IMD, highlighting significant rainfall events like the record wet month of May 2025. It also provides district-wise and state-wise summaries for operational and research needs, thereby illustrating Indian rainfall's variability and patterns.
Detailed Summary
Rainfall Data in India
The India Meteorological Department (IMD) offers a comprehensive collection of real-time and historical rainfall data, which includes maps and time series for all 36 meteorological subdivisions, states, river basins, and rainfall observation stations. The recent weather trend is notable, with May 2025 recorded as the wettest month since records began in 1901, reporting pan-India rainfall 106% above the long-term average. Specifically, all-India rainfall was recorded at 126.7 mm, marking it as the highest since 1901.
Regional Highlights
- In Central India, rainfall reached 100.9 mm, the highest since records began.
- South Peninsular India experienced 199.7 mm of rainfall, the second highest since 1901.
The IMD continues to provide summaries district-wise, state-wise, and sub-divisional summaries for operational needs and research purposes on their official platforms.
Audio Book
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Create a free accountIMD provides real-time and historical rainfall data, maps, and time series for all 36 meteorological subdivisions, states, river basins, and stations.
Detailed Explanation
The Indian Meteorological Department (IMD) is responsible for collecting and providing rainfall data in India. They maintain up-to-date and historical records, which are essential for understanding rainfall patterns. This information is organized for different geographical areas such as states, river basins, and specific meteorological subdivisions to aid various stakeholders, including researchers and decision-makers.
Examples & Analogies
Imagine if a student wanted to study the weather changes in their city over the past few years. They would look at their local weather station, which collects data on temperature and rainfall. Similarly, IMD collects rainfall data across the entire country, helping everyone from farmers planning their crops to city planners designing drainage systems.
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Create a free accountMay 2025 was the wettest since records began in 1901, with pan-India rainfall 106% above its long period average.
Detailed Explanation
Recent data show that May 2025 was an extraordinary month for rainfall in India, surpassing all previous records since 1901. The rainfall recorded was significantly higher than the average, indicating possible changes in weather patterns and climate conditions. This trend is crucial for assessing how rainfall variability affects agriculture, water resources, and disaster management.
Examples & Analogies
Consider how a student might keep track of their test scores over time. If they suddenly score much higher than their average due to an exceptional study session or better preparation, they would recognize it as a significant trend. The same goes for rainfall – this extraordinary amount can be a sign of shifting weather patterns that need to be studied and understood.
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Create a free accountDistrictwise, statewise, and sub-divisional summaries are provided for operational and research purposes via IMD's official platforms.
Detailed Explanation
IMD not only collects aggregate data but also breaks it down into detailed summaries by district, state, and subdivision. This granularity helps various entities like local governments and researchers analyze rainfall patterns closely, assess water resource management needs, and prepare for potential flood situations. These summaries are accessible to the public through IMD's digital platforms.
Examples & Analogies
Think of a big pizza that is cut into many slices. Each slice represents a different region's rainfall data. Just like you can analyze each slice to see how much you like one topping over another, researchers can assess each region's rainfall to understand local climate impacts and needs.
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Key concepts
Examples
Memory aids
Imagine a farmer, eager and spry, checks the IMD data to see if the clouds are nigh, knowing that in May, it'll surely pour high!