I want to quantify how much groundwater is really available across Haryana and how that supply is changing over time. My approach relies on remote sensing, with GRACE satellite gravimetric data as the backbone, and I will validate everything against the in-situ monitoring network I already have on file. Here is the workflow I need you to carry through: • Compile and preprocess monthly GRACE mascon data, convert it to equivalent water height and clip it to the Haryana boundary. • Integrate long-term rainfall records so we can correlate precipitation with groundwater storage change and tease out recharge patterns. • Generate groundwater potential (GWP) maps in a GIS environment, then compare those outputs to the in-situ well data and to any previous GIS-based groundwater studies for the state. Statistical agreement, bias and trend analysis are essential. • Produce a forward-looking prediction of GWP to 2035, extrapolating current trends with an appropriate time-series model, and visualise the results in clear thematic maps. Deliverables 1. Cleaned GRACE and rainfall datasets in GIS-ready format (GeoTIFF / shapefile). 2. GWP maps and variability maps (PDF and layered MXD/QGS project). 3. Comparative analysis report outlining correlation with field data, accuracy metrics and discussion of limitations (Word or LaTeX). 4. Forecast maps and accompanying methodology notebook or script (Python, R or MATLAB). I am flexible on whether you prefer ArcGIS, QGIS, or a scripted workflow in Python using packages such as rasterio, xarray and GEE; just let me know your comfort zone. Accuracy, reproducibility and clear documentation are my top priorities, so please factor version control and metadata into your plan. If this sounds like a project you can take from raw satellite files to decision-ready maps and forecasts, I would love to see a short note on your relevant experience and a sample of past GRACE or groundwater work.