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IAS CLOUD

IAS CLOUD

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For Feedback/Suggestions Please Message At @Yogesh1908

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📈 Analytical overview of Telegram channel IAS CLOUD

Channel IAS CLOUD (@ias_cloud) in the English language segment is an active participant. Currently, the community unites 18 482 subscribers, ranking 11 020 in the Education category and 21 612 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 482 subscribers.

According to the latest data from 12 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -248 over the last 30 days and by -9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.63%. Within the first 24 hours after publication, content typically collects 1.33% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 301 views. Within the first day, a publication typically gains 246 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as psir, cse, upsc, akashvani, mains-25.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“For Feedback/Suggestions Please Message At @Yogesh1908”

Thanks to the high frequency of updates (latest data received on 13 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

18 482
Subscribers
-924 hours
-247 days
-24830 days
Attracting Subscribers
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January '21
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December '20
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Date
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Channel Posts
Delhi air pollution: How cloud seeding works — and doesn’t work

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CSAT Special Channel 👆
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https://t.me/+iMLCMx614SNhY2E1
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CSAT Special Channel 👆
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https://t.me/+iMLCMx614SNhY2E1
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🌊 ENSO 2026–2027 Outlook: A Possible Transition from El Niño to La Niña Based on a 21-year analog composite, incorporating some of the strongest historical El Niño events since 1950, using the pyreweather interface and NOAA CORe data, our latest ANN-based tropical Pacific SST forecast suggests a classic post-peak ENSO transition. 📊 Key Takeaways (November 2026 – October 2027) 1️⃣ November 2026: Persistent warm SST anomalies across the central and eastern equatorial Pacific, consistent with mature El Niño conditions. Gradually fading out through February 2027. 2️⃣ Spring 2027 Transition: A rapid weakening of the warm SST anomalies and a gradual breakdown of the El Niño signal are projected after April 2027. 3️⃣ Second Half of 2027: A developing La Niña-like cold SST pattern may emerge by mid-to-late 2027. 🚦Note The post-February appearance of cold anomalies in the western pacific equatorial region marks the onset of the discharge phase of the ENSO cycle, serving as the structural trigger for El Niño's decay and the subsequent transition toward La Niña. During mature El Niño events, weakened trade winds allow upper-ocean heat to accumulate and discharge poleward; once this heat content is depleted, cold anomalies emerge in the west and propagate eastward as upwelling oceanic Kelvin waves along the thermocline. As these subsurface cold waters lift toward the surface across the central and eastern Pacific, they erode the remaining warm surface pool while driving atmospheric convection back toward the Maritime Continent. This atmospheric shift reinstates and strengthens low-level easterly trade winds—reversing the Bjerknes feedback mechanism—which accelerates surface cooling and sets the stage for a La Niña imprint to emerge by mid-to-late 2027. 🔬 Latent Structural Evolution & Atmospheric Lag Although tropical Pacific SST anomalies are projected to shift toward neutral or negative territory by mid-2027, the atmospheric response may not change at the same pace. Atmospheric coupling parameters and associated teleconnections can retain an El Niño imprint for several months, potentially extending into July 2027, before the global circulation gradually adjusts to a developing La Niña background state. The Spring Predictability Barrier remains an important source of uncertainty in ENSO forecasting. The transition across spring can make it difficult to determine the eventual ENSO state with confidence. This animation illustrates the projected evolution of tropical Pacific SST anomalies across the analog composite, but the spring barrier may affect the reliability of the transition timing. Consequently, the lingering atmospheric influence of El Niño could persist longer than the SST animation alone suggests. Although older super-El Niño seasons are represented in my climatic reconstruction, which extends back to 1645, incorporating them into the current analysis was not feasible because the present model relies on modern datasets with more consistent observational coverage. However, using multivariable climatic indicators and broader structural analog contexts, I have identified at least 14 potential super-El Niño events before 1948 back to 1642. These candidates are part of the longer historical reconstruction, although they were not included in the current 21-analog composite. 📈 Baseline: CORe monthly climatology, 1991–2020 Data: NCEP CORe Reanalysis / Mercator. This is an interim statistical outlook and remains subject to revision later in winter 2026 as additional observations and model data become available.
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Praley is Quasi Ballistic Missile!+3
Praley is Quasi Ballistic Missile!
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🌧️ What happens when the land itself begins to intensify a monsoon drought? The 2009 Indian Summer Monsoon drought offers im
🌧️ What happens when the land itself begins to intensify a monsoon drought? The 2009 Indian Summer Monsoon drought offers important insights into this question. A research paper published in MAUSAM explores how declining soil moisture, increased surface heating and changes in atmospheric circulation contributed to the severity of the drought. The study highlights the role of land–atmosphere interactions and reduced moisture transport in shaping extreme drought conditions over India.
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This booklet has been prepared from the CSE 2025 transcripts. This will give you a logical preparable format to begin with. https://t.me/SOMPGUIDANCE Courtesy for transcripts - CSE updates.
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♦️👉UPSC CSE 2026 MAINS RESULT.
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Forest Landscape Restoration isn't about isolated sites. It's landscape-level work balancing ecology, community wellbeing and
Forest Landscape Restoration isn't about isolated sites. It's landscape-level work balancing ecology, community wellbeing and livelihoods — restoring ecosystem function, water and soil systems together. IUCN's 7 FLR principles turn this into practical guidance.
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Link Deleting Soon 👆
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