Abstarct: Today, in many parts of the world, human beings face the challenge of getting the water they need. Therefore, the importance of water resources management has become more apparent due to the increasing population and greater demand for water consumption and the reduction of fresh water resources. One of the most important issues that should be paid special attention in the discussion of water resources management and as a result of decisions and plans for water consumption in different sectors is water balance. To calculate the water balance, various information and data are needed, which in most parts of Iran, access to this data and information is associated with problems, or due to the lack of required data, it is not possible to calculate the water balance. Therefore, in this study, remote sensing technology was used to collect the required data in areas without statistics. For this purpose, IMERG precipitation satellite products and ERA5 temperature reanalysis data were used. Evaluation results of these products using five statistical indices including Pearson correlation coefficient (R),Root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliffe efficiency coefficient (NS) and BIAS coefficient in Zarandeh sub-basin located in region of Neyshabur indicates their high accuracy and correlation with ground station data; Therefore, these products can be used in areas with similar climates and also without proper statistics. Then, to calculate the water balance, remote sensing products in the form of abcd monthly water balance conceptual model were used. Fuzzy numbers and the Monte Carlo method were also used to reduce uncertainties in the model parameters and to estimate them. This model was optimized with two different objective functions including Nash-Sutcliffe efficiency coefficient and coefficient of determination. The results show the high accuracy of the abcd water balance model (efficiency coefficient = 0.86) in the study area and well simulate the discharge behavior of the Zarandeh sub-basin. The model was validated in the Sebi sub-basin located in Torbat-e-Heydariyeh region, which due to its efficiency coefficient (0.488), had a moderate performance in this sub-basin. Therefore, the need to calibrate the parameters for each region seems necessary.