Atif R M, Siddiqui M H, & Almazroui M (2020) Near‐real‐time spatiotemporal analysis of convection and extreme rainfall leading to a flash flood using MSG‐SEVIRI and TRMM data: A case study of a flash flood in Jeddah, Saudi Arabia on the November 25, 2009. Journal of Flood Risk Management 13(3):e12611
Azizian A, & Ramezani E H (2019) Spatiotemporal assessment of reanalysis and remotely-sensed precipitation datasets. Iran-Water Resources Research 15(1):163-177 (In Persian)
Babaei H, Janalipour M, & Tehrani N A (2019) A simple, robust, and automatic approach to extract water body from Landsat images (Case study: Lake Urmia, Iran). Journal of Water and Climate Change 12 (1):238–249
Cancelada M, Salio P, Vila D, Nesbitt S W, & Vidal L (2020) Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A methodology to determine extreme convective initiation regions using satellite infrared imagery. Remote Sensing 12(2):337
Chen Y, Ebert E E, Walsh K J, & Davidson N E (2013) Evaluation of TRMM 3B42 precipitation estimates of tropical cyclone rainfall using PACRAIN data. Journal of Geophysical Research: Atmospheres 118(5):2184-2196
Dinku T, Ceccato P, Grover‐Kopec E, Lemma M, Connor S J, & Ropelewski C F (2007) Validation of satellite rainfall products over East Africa's complex topography. International Journal of Remote Sensing 28(7):1503-1526
Ghahraman B, & Faridhosseini A (2019) Comparison of observed rainfall and PERSIANN and CMORPH satellite rainfall data in hourly and daily scale (Case study: Shapoor basin). Iran-Water Resources Research 14(4):1-13 (In Persian)
Giannakos A & Feidas H (2013) Classification of convective and stratiform rain based on the spectral and textural features of Meteosat Second Generation infrared data. Theoretical and Applied Climatology 113(3-4):495-510
Hong Y, Adler R F, Negri A, & Huffman G J (2007) Flood and landslide applications of near real-time satellite rainfall products. Natural Hazards 43(2):285-294
Hughes D A (2006) Comparison of satellite rainfall data with observations from gauging station networks. Journal of Hydrology 327(3-4):399-410
Kubota T, Shige S, Hashizume H, Aonashi K, Takahashi N, Seto S, ... & Iwanami K (2007) Global precipitation map using satellite-borne microwave radiometers by the GSMaP project: Production and validation. IEEE Transactions on Geoscience and Remote Sensing 45(7):2259-2275
Kühnlein M, Appelhans T, Thies B, & Nauß T (2014) Precipitation estimates from MSG SEVIRI daytime, nighttime, and twilight data with random forests. Journal of Applied Meteorology and Climatology 53(11):2457-2480
Meyer H, Kühnlein M, Appelhans T, & Nauss T (2016) Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals. Atmospheric Research 169:424-433
Parisooj P, Goharnejad H, & Moazami S (2018) Rainfall-runoff hydrologic simulation using adjusted satellite rainfall algorithms, a case study: Voshmgir dam basin, Golestan province. Iran-Water Resources Research 14(3):174-188 (In Persian)
Sanchez F, Iturbide SA, Boukabara K, Garrett Ch, Grassotti W, Chen F, Weng (2010) Development and validation of a rainfall rate algorithm based on hydrometeor products derived from passive microwave satellite observations: 11th specialist meeting on microwave radiometry and remote sensing of the environment. Washington, DC, USA.
Sehad M, & Ameur S (2020) A multilayer perceptron and multiclass support vector machine based high accuracy technique for daily rainfall estimation from MSG SEVIRI data. Advances in Space Research 65(4):1250-1262
Shayeghi A, Azizian A, & Brocca L (2019) Evaluating the efficiency of reanalysis and remote-sensing based rainfall data sets for hydrological modeling using VIC-3L large scale model. Iran-Water Resources Research 15(2):57-72 (In Persian)
Strangeways I (2006) Precipitation: Theory, measurement and distribution. Cambridge University Press
Wilks D S (2011) Statistical methods in the atmospheric sciences (Vol. 100). Academic Press
Yilmaz K K, Hogue T S, Hsu K L, Sorooshian S, Gupta H V, & Wagener T (2005) Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting. Journal of Hydrometeorology 6(4):497-517
Yan H, & Yang S (2007) A MODIS dual spectral rain algorithm. Journal of Applied Meteorology and Climatology 46(9):1305-1323
Zell A (1994) Simulation Neuronaler Netze [Simulation of Neural Networks] (in German) (1st ed.). Addison-Wesley p. 73,
ISBN 3-89319-554-8