About
As the VP of WeatherEX, at Experiqs Pvt Ltd, I am committed to bridging the gap between cutting-edge science and real-world deployment. I lead a team dedicated to providing high-resolution weather and climate intelligence by unifying satellite imagery, AI emulators, and physics-based solvers on our collaborative platform. My work involves transforming this complex data into actionable insights for everything from short-term nowcasting to long-term climate adaptation strategies. I am passionate about fostering collaboration between academia and industry to co-create the next generation of environmental models that drive sustainable, data-driven decisions.
Work Experience
Education
Skills
Check out our latest work
The hourly simulation demonstrates stable model integration and consistent evolution of large scale atmospheric features. Initial diagnostics from the 10 m wind fields show physically realistic global circulation, with well defined trade winds, midlatitude jets, and coherent storm track structures.
Publications
- A
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea
A Sunil, B Deepthi, M Rashid, R Sreedhar, G Ganjir, S Adarsh
Stochastic Environmental Research and Risk Assessment 39 (9), 4063-4082
- E
Enhanced rainfall forecasting for Mumbai using data-driven ConvLSTM2D models at fine spatial and temporal scales
A Sunil, A Devda, R Murthy, B Deepthi
Natural Hazards, 1-26
- F
Forecasting Sea Surface Temperature: A Benchmarking of Deep Learning Models
A Sunil, B Deepthi, R Sreedhar, M Rashid, G Ganjir
AGU24
- E
Enhanced Precision in Rainfall Forecasting for Coastal Megacity Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution
A Devda, M Rashid, A Sunil
AGU Fall Meeting Abstracts 2024, SY01-36
- R
Rainfall Nowcasting using Physics informed ConvLSTM2D model at fine spatial and temporal scales for the coastal city of Mumbai, India
A Devda, A Sunil, RL Murthi
Water Science Conference (WaterSciCon24, 318-173)
- A
Adaptive (re) operations facilitate environmental flow maintenance downstream of multi-purpose reservoirs
A Sunil, R Singh, M Molakala
Journal of Hydrology
- A
Assessment of climate change impacts on the precipitation and temperature: a case study on Krishna River Basin, India
NSS Syam, A Sunil, S Pichuka, A Mandal
Russian Meteorology and Hydrology 49 (1), 62-70
- H
Hourly Precipitation Prediction: Integrating Long Short-Term Memory (LSTM) Neural Networks with Granger Causality
MRL Rahul Sreedhar, Akshay Sunil
EGU24
- W
When Can We Prioritize Environmental Flow Release Without Affecting Hydropower and Water Demand Satisfaction?
A Sunil, R Singh
AGU Fall Meeting
- D
Does prioritizing environmental flows compromise demand satisfaction and hydropower production in the Nagarjuna Sagar reservoir?
A Sunil, R Singh
Fall Meeting 2022
- R
RANKING OF CMIP5-BASED GENERAL CIRCULATION MODELS USING COMPROMISE PROGRAMMING AND TOPSIS FOR PRECIPITATION: A CASE STUDY OF UPPER GODAVARI BASIN, INDIA
B DEEPTHI, S AKSHAY, SC NAIR, AB MIRAJKAR, S ADARSH
International Journal of Big Data Mining for Global Warming, 2050007
- M
Modeling future irrigation water demands in the context of climate change: a case study of Jayakwadi command area, India
A Sunil, B Deepthi, AB Mirajkar, S Adarsh
Modeling Earth Systems and Environment
- B
Balancing Ecological and Socioeconomic Objectives in Multi-Purpose Reservoir Operations: Not a Zero-Sum Game
A Sunil, R Singh
SSRN 5292979
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