Statistical Approach to Determining Runoff Feneration Using Remote Sensing Data
Abstract
Within hydrology there are two major categories of runoff: surface runoff that experiences Hortonian flow and baseflow driven runoff that experiences Dunne flow. In this study, we correlate global satellite-based surface water inundation, precipitation and groundwater storage observations to better understand how surface water generation responds to these two dominant forcing mechanisms. Total water storage observations come from NASA's GRACE mission, while precipitation comes from the GPCP combined product, and surface inundation levels from the NASA SWAMPS product. We evaluate the statistical relationship between surface water inundation, total water storage anomalies, and precipitation values under different time lag and quality control adjustments between the data products. We find that the global prediction of surface inundation improves when considering a quality control threshold of 50% reliability for the SWAMPS data, and after applying time lags ranging from 1 to 5 months. We conclude that 85% of surface runoff within our domain is equally controlled by precipitation and total water storage while 8% is precipitation driven and 7% is water storage driven.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.H51M1471L
- Keywords:
-
- 1836 Hydrological cycles and budgets;
- HYDROLOGYDE: 1847 Modeling;
- HYDROLOGYDE: 1855 Remote sensing;
- HYDROLOGYDE: 1873 Uncertainty assessment;
- HYDROLOGY