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Meteorological data from radar and satellite sources often contain noise due to air turbulence and device manipulation, leading to inaccuracies in predictions. Mitigating with ANN & LSTM

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irfan112/Enhancing-Heavy-Rainfall-Prediction

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```
#use python=3.10
conda create -n rain_pred python=3.10
conda activate rain_pred
pip install -r requirments.txt
python main.py
python ANN_RE.py
```

```
conda activate rain_pred
conda install conda-forge::nb_conda
pip install ipykernel
jupyter notebook
```

LSTM


References

Pakistan: Flood Damages and Economic Losses Over USD 30 billion and Reconstruction Needs Over USD 16 billion, (The World Bank Press release - New Assessment, 28 October 2022 (https://www.worldbank.org/en/news/press-release/2022/10/28/pakistan-flood-damages-and-economic-losses-over-usd-30-billion-and-reconstruction-needs-over-usd-16-billion-new-assessme)

NetCDF-4: software implementing an enhanced data model for the geosciences (Russell K. Rew, UCAR, Boulder, CO; and E. J. Hartnett and J. Caron, 2018).

FACTORS AFFECTING AGRICULTURAL PRODUCTION OF PUNJAB (PAKISTAN) (Badar, Hammad, Abdul Ghafoor, and Sultan Ali Adil, 2007).

Precipitation Science: Observations, Retrievals, and Modeling (Kim, Soojun, Huiseong Noh, Narae Kang, Keonhaeng Lee, Yonsoo Kim, Sanghun Lim, Dong Ryul Lee, and Hung Soo Kim, 2014).

NASA (.gov) - TRMM (TMPA) Precipitation (https://disc.gsfc.nasa.gov/datasets/TRMM_3B42_Daily_7/summary)

Optimal Stochastic Prediction and Verification of Signal-to-Noise Ratio and Data Rate for Ka-Band Spaceborne Telemetry Using Weather Forecasts (Biscarini, M., A. Vittimberga, K. De Sanctis, S. Di Fabio, M. Montagna, L. Milani, Yuichi Tsuda, and F. S. Marzano, 2020).

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Meteorological data from radar and satellite sources often contain noise due to air turbulence and device manipulation, leading to inaccuracies in predictions. Mitigating with ANN & LSTM

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