Date post: | 30-Dec-2015 |
Category: |
Documents |
Upload: | blaine-maxwell |
View: | 47 times |
Download: | 0 times |
Complex Hydrologic Models
For forecast applications,adding complexity not always warranted:
-limited observations to constrain parameters
-run the risk of over-calibration
Distributed Modeling
-Don’t precisely capture watershed due to discretization-better capture forcing spatial variability and response
Distributed modeling methods allow modeling of smaller and smaller basins. They also allow computation of more realistic runoff within a basin. Flash flood forecasts, for example, have improved with the implementation of distributed models.
Distributed models do however require more complex and more high-resolution data, introducing more uncertainty.