Despite the significant potential of remotely sensed earth observations, their application is yet to be full-fledged in watershed hydrologic modeling. Inconsistent storage structures, data formats and spatial resolution among different platforms/sources of earth observations hinder the use of these data. Available web-services help bulk data download and visualization of earth observations, but they are not interoperable for hydrologic modeling at user-defined spatial scales. To address this issue, we developed an open-access, online platform, named HydroGlobe, that minimizes all these geo-processing tasks, creates ready-to-use data from different earth observation sources, and potentially performs data assimilation into hydrologic models. In its preliminary version, HydroGlobe simultaneously handles five data sources including the surface and root zone soil moisture from SMAP (Soil Moisture Active Passive Mission), actual and potential evapotranspiration from MODIS (Moderate Resolution Imaging Spectroradiometer), and precipitation from GPM (Global Precipitation Measurements). Besides introducing the web interface, we will demonstrate how HydroGlobe enabled easy integration of remotely sensed data in hydrologic/coupled atmospheric-land surface models. Specifically, we will discuss a number of recently published case studies, based on US National Water Model (NWM) and Soil and Water Assessment Tool (SWAT), highlighting (i) spatial evaluation of model accuracy on large scale, (ii) spatially explicit model calibration, and (iii) improved process representation via direct insertion of earth observations.
AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- 1804 Catchment;
- HYDROLOGYDE: 1843 Land/atmosphere interactions;
- HYDROLOGYDE: 1846 Model calibration;
- HYDROLOGYDE: 1855 Remote sensing;