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An object-oriented shared data model for GIS and distributed hydrologic models., , и . Int. J. Geogr. Inf. Sci., 24 (7): 1061-1079 (2010)Physics Guided Machine Learning Methods for Hydrology., , , , , , , и . CoRR, (2020)Fully-coupled hydrologic processes for modeling landscape evolution., , и . Environ. Model. Softw., (2016)Probabilistic Inverse Modeling: An Application in Hydrology., , , , , , , и . SDM, стр. 847-855. SIAM, (2023)Enhancing the performance of feature selection algorithms for classifying hyperspectral imagery., , и . IGARSS, стр. 3264-3267. IEEE, (2004)An efficient domain decomposition framework for accurate representation of geodata in distributed hydrologic models., , и . Int. J. Geogr. Inf. Sci., 23 (12): 1569-1596 (2009)An introduction to the special issue on Geoscience Papers of the Future, , , , и . Earth and Space Science, 3 (10): 441-444 (2016)Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory., , , , , и . IEEE Syst. J., 10 (3): 1239-1250 (2016)A coupled surface-subsurface hydrologic model to assess groundwater flood risk spatially and temporally., , , , , и . Environ. Model. Softw., (2019)Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment., и . Environ. Model. Softw., (2016)