Projects
Megha Lab, led by Dr. Shruti Upadhyaya, is engaged in a wide range of interdisciplinary research projects that focus on precipitation science, satellite remote sensing, AI/ML applications in geosciences, and climate variability.
The following table highlights the major projects currently undertaken or completed by Megha Lab:
| Role | Project Title | Funding Agency / Program | Duration |
|---|---|---|---|
|
Co-PI |
Unravelling multiscale connections to improve the seasonal to sub-seasonal forecasting of Precipitation and Temperature |
MOES Monsoon Mission III |
2025–2028 |
|
PI |
“PrecipCube”: Geospatial satellite observations data cube for precipitation research |
DST – National Geospatial Program |
2024–2027 |
|
PI |
Precipitation type classification with INSAT 3D/3DR Satellite Observations using Explainable AI/ML (XAI/ML) |
SERB – SRG |
2023–2025 |
|
Co-PI |
Development of automated crop classification methods using wavelet-based hybrid models |
ISRO – NRSC RESPOND |
2024–2027 |
|
Co-PI |
Augmenting geostationary observations to understand precipitation across complex orographic regions |
NASA ROSES 2022 (ESROGSS) |
2023–2026 |
|
Co-PI |
Global High Resolution Dataset for Convective or Stratiform Type for Precipitation |
NASA ROSES 2022 (MEaSURES) |
2023–2028 |
|
Co-PI |
Probabilistic Quantitative Precipitation Estimation with Geostationary Satellites |
NASA ESROGSS |
2020–2023 |
|
Co-PI |
Comprehensive Validation of GSMaP Products over India |
JAXA (PMM Research Scheme) |
2015–2016, 2016–2018
|