Koirala, S., Yeh, P. J. F., Hirabayashi, Y., Kanae, S. & Oki, T. Global‐scale land surface hydrologic modeling with the representation of water table dynamics.
Unstructured mesh generation has long been a labor-intensive and time-consuming aspect of hydrologic modeling.
Climate data measured by weather stations are crucially important and regularly used in hydrologic modeling.
Development of STORE DHM is a part of a broader objective to develop a modular hydrologic modeling system within GIS.
Three land use maps representing a 17-year period when the region underwent significant transitions served as inputs for hydrologic modeling using the Automated Geospatial Watershed Assessment (AGWA) tool, a GIS-based hydrologic modeling system.
Streamflow forecasting, especially the long lead-time forecasting, is still a very challenging task in hydrologic modeling.
Characterizing the spatial and temporal variability of small scale runoff responses is essential to distributed hydrologic modeling.
It is a long-lasting challenge in subsurface hydrologic modeling to develop numerically efficient algorithm for coupling unsaturated and saturated flow, especially in regional-scale modeling.
Investigation of relative uncertainties shows that the uncertainty linked to the climate data is greater than the uncertainty induced by hydrologic modeling.
The best data assimilation scheme for hydrologic modeling involved using a combination of streamflow, soil moisture, and snow water equivalent while performing both state and parameter updating.
Briefly tracing the history of hydrologic modeling, this paper discusses the progress that has been achieved in hydrologic modeling since the advent of computer and what the future may have in store for hydrologic modeling.
