[1] V Levizzani et al., Satellite Precipitation Measurement, Vol 1 & 2, Springer Nature Switzerland, Cham (2020).


[2] C Prigent, Precipitation retrieval from space: An overview, Comptes Rendus Geoscience 342, 4-5, (2010).
https://www.sciencedirect.com/science/article/pii/S1631071310000155

[3] S Marsland, Machine Learning: An Algorithmic Perspective, 2nd edition, CRC Press, Boca Raton (2015).
https://doi.org/10.1201/b17476

[4] M A Nielsen, Neural Networks and Deep Learning, Determination Press (2013).


[5] W G Rees, Physical Principles of Remote Sensing, Cambridge University Press, Cambridge (2015).


[6] R J Kuligowksi, GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document For Rainfall Rate (QPE), NOAA NESDIS CENTER for SATELLITE APPLICATIONS and RESEARCH, (2013).
https://www.star.nesdis.noaa.gov/goesr/documents/ATBDs/Enterprise/ATBD_Enterprise_Rainfall_Rate_v3_2020-07-10.pdf

[7] T Chen, C Guestrin, XGBoost: A Scalable Tree Boosting System, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785, (2016).
https://arxiv.org/abs/1603.02754

[8] S Mohajerani, S Parvaneh, Cloud-Net: An End-To-End Cloud Detection Algorithm for Landsat 8 Imagery, IGARSS 2019, 1029, (2019).
https://arxiv.org/abs/1901.10077

[9] M Sadeghi et al., PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Convolutional Neural Networks, J. of Hydromet., 40, (2019).
https://journals.ametsoc.org/view/journals/hydr/20/12/jhm-d-19-0110_1.xml

[10] M Sadeghi et al., Improving Near Real-time Precipitation Estimation Using a U-Net Convolutional Neural Network and Geographical Information, Envi. Modelling & Software, 134, 104856, (2020).
https://www.sciencedirect.com/science/article/abs/pii/S1364815220309130

[11] A Sai et al., Estimating rainfall using machine learning strategies based on weather radar data, International J. of Comm. Systems, 33, (2020).
https://onlinelibrary.wiley.com/doi/10.1002/dac.3999

[12] G Ayzel et al., RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting, Geosc. Model Development, 13, 2631, (2020).
https://gmd.copernicus.org/articles/13/2631/2020/

[13] A Moraux et al., Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements, Remote Sensing, 11, 2463,(2019).
https://www.researchgate.net/publication/336809097_Deep_Learning_for_Precipitation_Estimation_from_Satellite_and_Rain_Gauges_Measurements

[14] S Jadon, A survey of loss functions for semantic segmentation, 2020 IEEE CIBCB, 1, (2020).
https://arxiv.org/abs/2006.14822

[15] N Abraham, N Khan, A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation, 2019 IEEE (ISBI), 683, (2019).
https://arxiv.org/abs/1810.07842

[16] R Zhao et al., Rethinking Dice Loss for Medical Image Segmentation, 2020 IEEE (ICDM), 10541, 851, (2020).
https://ieeexplore.ieee.org/document/9338261

[17] S Salehi, D Erdogmus, A Gholipur, Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks, Machine Learning in Medical Imaging, 379, (2017).
https://arxiv.org/abs/1706.05721

[18] T Lin et al., Focal Loss for Dense Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2, (2020).
https://arxiv.org/abs/1708.02002

[19] M Guico et al., Design and development of a novel acoustic rain sensor with automated telemetry, MATEC Web of Conferences, (2018).
https://www.matec-conferences.org/articles/matecconf/abs/2018/60/matecconf_ici2017_03003/matecconf_ici2017_03003.html

[20] W Huang et al., Simulation and Projection of Summer Convective Afternoon Rainfall Activities over Southeast Asia in CMIP6 Models, J. of Climate, 34, 1, (2021).
https://journals.ametsoc.org/view/journals/clim/34/12/JCLI-D-20-0788.1.xml

[21] J Welty et al., Increased Likelihood of Appreciable Afternoon Rainfall Over Wetter or Drier Soils Dependent Upon Atmospheric Dynamic Influence, Geophys. Research L., 47, 11, (2020).
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020GL087779

[22] C B ̈ohm et al., The Role of Moisture Conveyor Belts for Precipitation in the Atacama Desert, Geophy. Research L., 48, 24, (2021).
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021GL094372

[23] L Sun et al., Cross Validation of GOES-16 and NOAA Multi-Radar Multi-Sensor (MRMS) QPE over the Continental United States, Remote Sensing, 13, 4030, (2021).
https://www.mdpi.com/2072-4292/13/20/4030

[24] R Mancuello, 11/04/2022, “Temporal en Castelli: En una hora y con fuertes vientos hubo destrozos en viviendas, salones comerciales, voladuras de techos”, Chaco D ́ıa por D ́ıa, accesed 07/11/2023,
https://www.chacodiapordia.com/2022/04/11/temporal-en-castelli-en-una-hora-y-con-fuertes-vientos-hubo-destrozos-en-viviendas-salones-comerciales-voladuras-de-techos/

[25] Website of Chaco police with rainfall information, accesed 07/11/2023,
https://policia.chaco.gob.ar/#/lluvia