Alizahed A (2018) Princiles of applied hydrology. Imam Reza International Univarsity, 946 p (In Persian)
Azadi M, Soufiyani M, Vakili G, and Ghaemi H (2016) A case study on the impact of synoptic and upper air data assimilation in WRF output for precipitation over Iran. Iranian Journal of Geophysics 10(2):110–119 (In Persian)
Cho KH, Pachepsky Y, Ligaray M, Kwon Y, and Kim KH (2020) Data assimilation in surface water quality modeling: A review. Water Research 186:116307
Clark MP, Rupp DE, Woods RA, Zheng X, Ibbitt RP, Slater AG, Schmidt J, and Uddstrom MJ (2008) Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model. Advances in Water Resources 31(10):1309–1324
Franssen H-JH and Neuweiler I (2015) Data assimilation for improved predictions of integrated terrestrial systems. Advances in Water Resources 86:257–259
Ghorbanidehno H, Kokkinaki A, Lee J, and Darve E (2020) Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology. Journal of Hydrology 591:125266
Goudarzi M, Lashkar-Ara B, and Seyed Kaboli H (2021) Experimental study of the consolidation of the cohesive sediments Case study: Karkheh dam reservoir. Scientia Iranica. Department of Civil Engineering, Jundi-Shapur University of Technology, Dezful, Postal Code: 64616-18674, Iran 28(6):3072–3081
Kutner MH, Nachtsheim CJ, Neter J, and Li W (2005) Applied linear statistical models. McGraw-hill
Llauca H, Arestegui M, and Lavado-Casimiro W (2023) Constraining flood forecasting uncertainties through streamflow data assimilation in the tropical Andes of Peru: Case of the Vilcanota River Basin. Water 15(22):3944
Mehrparvar M, Asghari K, and Golmohammadi MH (2019) Reducing error of rainfall-runoff simulation using coupled hydrological SWAT model and data assimilation technique. Iran-Water Resources Research 14(5):85–102 (In Persian)
Park K Il and Park M (2018) Fundamentals of probability and stochastic processes with applications to communications. Springer
Pensoneault A, Krajewski WF, Velásquez N, Zhu X, and Mantilla R (2023) Ensemble Kalman Inversion for upstream parameter estimation and indirect streamflow correction: A simulation study. Advances in Water Resources 181:104545
Piazzi G, Thirel G, Perrin C, and Delaigue O (2021) Sequential data assimilation for streamflow forecasting: Assessing the sensitivity to uncertainties and updated variables of a conceptual hydrological model at basin scale. Water Resources Research. John Wiley & Sons, Ltd 57(4)
Samuel J, Rousseau AN, Abbasnezhadi K, and Savary S (2019) Development and evaluation of a hydrologic data-assimilation scheme for short-range flow and inflow forecasts in a data-sparse high-latitude region using a distributed model and ensemble Kalman filtering. Advances in Water Resources 130:198–220
Tajiki M, Najafinejad A, Bahremand A, Schoups G, and Hendricks-Franssen H-J (2019) Improving river discharge forecasting with the hymod conceptual rainfall-runoff model using data assimilation. Iran-Water Resources Research 15(4):137–147 (In Persian)
Julier SJ and Uhlmann JK (2004) Unscented filtering and nonlinear estimation. Proceedings of the IEEE 92(3):401–422
Evensen G (1994) Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics. Journal of Geophysical Research: Oceans. Wiley Online Library 99(C5):10143–10162
Houtekamer PL and Mitchell HL (1998) Data assimilation using an ensemble kalman filter technique. Monthly Weather Review. Boston MA, USA: American Meteorological Society 126(3):796–811