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@Akshay_Sunil_

Empowering Mumbai: Weather updates for a sustainable tomorrow. Managed by @akshaysunil172 Ping me for any help :) @akshaysunil172

IIT Mumbai, India Katılım Eylül 2022
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WeatherEx.ai@Akshay_Sunil_·
We conducted benchmarking for different sea surface temperature (SST) prediction models for a square domain in the Arabian Sea, covering prediction periods of 1 week, 15 days, and 30 days. For short-term predictions (1 week), all models (CNN, LSTM, Transformer, PINN-Transformer) showed good agreement with actual sea surface temperatures, with minor deviations and overall high accuracy. The CNN model initially performed well for shorter lead times, demonstrating high accuracy and good alignment with actual observations. As the prediction period increased to 15 days, the models began to show noticeable deviations from actual observations. However, the CNN and PINN-Transformer maintained relatively better consistency compared to the others. By the 30-day mark, significant deviations from actual observations were observed in all models, but the PINN-Transformer demonstrated better consistency compared to the other models, despite some variability. When evaluating model performance for 30-day ahead predictions using metrics such as Anomaly Correlation Coefficient (ACC), Nash-Sutcliffe Efficiency (NSE), Normalized Root Mean Square Error (NRMSE), and Mean Absolute Error (MAE), both the PINN-Transformer and Transformer models consistently outperformed the other models. The PINN-Transformer and Transformer models exhibited higher ACC and NSE values, indicating better agreement with observed data and predictive performance. Additionally, they showed lower NRMSE and MAE values, reflecting higher accuracy and lower prediction errors. The superior performance of the PINN-Transformer is likely due to the preservation of physical laws within its framework, while the Transformer model benefits from its advanced architecture, which helps maintain accuracy and stability in predictions over longer periods. In contrast, the CNN model tends to lose information over longer lead times, resulting in reduced performance. This highlights the importance of model choice, with physics-informed and Transformer models being more effective for long-term SST predictions. @ClimateIITB
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WeatherEx.ai@Akshay_Sunil_·
Rain Alert | Thursday, 2nd | 6:00 PM Rain activity is expected over interior Maharashtra, with the highest intensity around Satara and nearby areas. Pune may receive light to moderate rain.
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WeatherEx.ai@Akshay_Sunil_·
Isolated rainfall is possible today, with a higher chance of thunder development mainly over the ghat regions. For Mumbai, it appears more hit-or-miss, with isolated rains possible.
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WeatherEx.ai@Akshay_Sunil_·
Mumbai Weather Update 🌡️ Warm conditions persist today, though maximum temperatures are slightly lower than yesterday. **A gradual moderation in temperatures is expected from tomorrow.
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WeatherEx.ai@Akshay_Sunil_·
Temperatures are beginning to rise, and the coming week is expected to be relatively hotter, with afternoon temperatures reaching around 35–36 °C plus in Mumbai. Dry and sunny conditions are likely. Please stay hydrated and take necessary precautions during the Holi period, especially during the afternoon hours.
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WeatherEx.ai@Akshay_Sunil_·
Model guidance indicates a Bay of Bengal low will consolidate and move toward the Tamil Nadu coast until around February 22, after which stronger mid and upper level westerlies may shear the system and push it back offshore, leading to weakening. For February 21 to 25, the highest rainfall risk remains over south Tamil Nadu and south Kerala, while western and central Tamil Nadu is more likely to see light to moderate spells. You can cross check the track and rainfall spread by comparing GFS, ICON and ECMWF on WeatherEx.ai and watching how the ensemble clustering shifts.
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Dr. Vineet Kumar
Dr. Vineet Kumar@vineet_mausam·
meteo.gov.lk As per official forecast from the Sri Lanka met office, IMD-GFs forecast, ECMWF forecast, there is a low chance of rain in #INDvPAK match #WorldCup2026 in Colombo. However, a minor drizzle can occur. Overall, it is likely to be a full 20-20 over contest.
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WeatherEx.ai
WeatherEx.ai@Akshay_Sunil_·
Colombo on Saturday (14th) will stay warm and humid, with temperatures around 25–29°C. Most of the daytime looks dry, but light showers are likely in the evening to night, roughly between 5 PM and 11 PM (around 0.1–1.3 mm). weatherex.ai
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WeatherEx.ai@Akshay_Sunil_·
Mumbai will see mostly dry and stable weather this week with clear to partly cloudy skies. Day temperatures around 30 to 32°C and nights near 23 to 25°C with moderate humidity. No significant rainfall expected, only slight haze possible during early mornings. Overall conditions remain typical for February with light winds and comfortable weather.
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WeatherEx.ai@Akshay_Sunil_·
A deep depression over the Bay of Bengal is expected to maintain unsettled conditions across coastal Tamil Nadu, Puducherry, Karaikal, with heavy rain and strong winds through 9–10 January and hazardous sea conditions along the southeast coast. Expected to weaken post this period.
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WeatherEx.ai@Akshay_Sunil_·
Minimum temperatures are set to drop in Mumbai, so expect very poor morning air quality as cold air sinks and traps pollutants. #Mumbai #MumbaiWeather
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WeatherEx.ai@Akshay_Sunil_·
⛈️ Nowcast (next 2–3 hrs): Thane, Vikhroli, Powai, Navi Mumbai, Kalyan to get moderate–heavy rain spells from passing rainband.
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WeatherEx.ai@Akshay_Sunil_·
@arpzrocz Today post afternoon there are chances of rains.
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Arpit Awasthi
Arpit Awasthi@arpzrocz·
@Akshay_Sunil_ When would rains be at peak this week ? Also weather forecast for 30th-31st there is women World Cup semifinals at DY Patil then
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WeatherEx.ai@Akshay_Sunil_·
⚠️ Weather update: Low-pressure system over the Arabian Sea is close to Mumbai. Expect on-and-off rains with gusty winds along Mumbai–Konkan and up to Saurashtra/Kutch over the next 24–36 hrs. Seas rough—avoid non-essential trips/boating. #MumbaiRains #GujaratWeather
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WeatherEx.ai@Akshay_Sunil_·
🌧️ #Mumbai Weather Update (Oct 26) •⚡ Moderate to heavy rain with thunderstorms in the next few hours 🌩️ •Affected areas: Mumbai, Thane, Panvel, Neral, Ambarnath •🌡️ Temp: 28°C | Humidity: 80% | Winds: 25 km/h Stay safe and keep monitoring! 💧 #WeatherUpdate #MumbaiWeather #Thunderstorms #RainAlert
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India Meteorological Department
India Meteorological Department@Indiametdept·
IMD Weather Alert ! A Low Pressure Area over the southeast Bay of Bengal is likely to intensify into a Cyclonic Storm by 27th Oct over the southwest & adjoining westcentral Bay of Bengal. 🌧️ Heavy to very heavy rainfall expected over: Tamil Nadu, Kerala & Mahe: 24–28 Oct Coastal Andhra Pradesh, Yanam & Rayalaseema: 24–29 Oct Odisha: 27–29 Oct Extremely heavy rainfall at isolated places on 27–28 Oct. Stay updated & stay safe! #IMDWeatherAlert #CycloneWarning #BayOfBengal #HeavyRainfall #TamilNadu #Kerala #CoastalAndhraPradesh #Odisha #StaySafe #WeatherUpdate @moesgoi @ndmaindia @DDNational @airnewsalerts
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Dr. Kirthiga Murugesan, Ph.D.
Oct 24, 2025 Dynamic setup across seas! Two Lows --> one in the Bay of Bengal & another in the Arabian Sea set to bring widespread rains over India in the coming days. 🔹 Bay Low likely to intensify, could become the NEM season’s 1st named cyclone. 🌀 Probable interaction with land: Between #Ongole#Vizag (Oct 27–28) with more rain than wind impact. 🌧️ Rain outlook (Bay system): Heavy rains are expected in #Kerala (Oct 24–28) Interiors #Karnataka (Oct 26–29) #Andhra (Oct 26–30) #Telangana (Oct 27–31) Parts of #Odisha (Oct 26–29) 🌊 Arabian Sea circulation: To bring rains over #CoastalKarnataka, #Goa, #Mumbai, #Pune, #Gujarat (#Surat) from Oct 25–Nov 2/3. TamilNadu: Limited rains, except #Chennai #Thiruvallur #Chengalpattu #Kancheepuram #Vellore can expect moderate rains (with breaks) from noon of Oct 25 until Oct 27. Temperatures expected to increase slowly as the low moves north of #Chennai latitude. Scattered thunderstorms in #Madurai #Virudhunagar #Dindigul #Dharmapuri #Krishnagiri. #Kanyakumari#Tenkasi ghats: mod–heavy rains (Oct 24–25). #CycloneWatch #IndiaRains #Monsoon2025
Dr. Kirthiga Murugesan, Ph.D. tweet mediaDr. Kirthiga Murugesan, Ph.D. tweet mediaDr. Kirthiga Murugesan, Ph.D. tweet mediaDr. Kirthiga Murugesan, Ph.D. tweet media
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