Multi-Objective Calibration Of A Hydrological Model Using Satellite-Based Data For Poorly Gauged Mekong River Basin
Abstract
Lack of observation data is a major challenge for hydrological modelling in ungauged or poorly gauged river basin. Mekong river basin, the world's 8th largest in discharge and 12th largest in length, is shared by six riparian countries and substantially affected by increased human activities and global climate changes. In transboundary river basins, data sharing is highly limited due to political issues of conflicts of economic interests. Therefore, growing efforts have been made over the past decades to simulate Mekong's hydrology for improved water resources management. However, limited availability of ground observation data restricts calibration of previous hydrological models for only streamflow at a few gauged stations and causes performance of simulation results vary by locations. Models have been recommended to satisfy different hydrological objectives for better simulation reliability. This study explores the possibility of multi-objective calibration against various hydrological variables by supplementing existing ground observation of streamflow with satellite observations of river stages from radar altimetry, and total storage changes from Gravity Recovery and Climate Experiment (GRACE) data. A physical-based model with diverse outputs as Hydrological Predictions for Environment (HYPE) is thus selected for its capacity to simulate different hydrological variables in the Mekong river basin from 2002 to 2012. This approach could potentially improve hydrological predictability and characterization of terrestrial water storage variability in ungauged or poorly gauged river basins.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFMGC23C..10D
- Keywords:
-
- 1622 Earth system modeling;
- GLOBAL CHANGEDE: 1630 Impacts of global change;
- GLOBAL CHANGEDE: 1632 Land cover change;
- GLOBAL CHANGEDE: 1640 Remote sensing;
- GLOBAL CHANGE