Satellite-based integrated land surface model and data management system

Friday 3 july 2015

12:45 - 12:48h at Central America (level 0)

Themes: (T) Water resources and hydro informatics (WRHI), (ST) Management support systems and serious gaming, Poster pitches

Parallel session: Poster pitches: 15H.WRHI - SeriousGaming

Soil moisture (SM) content near the land surface is extremely important not only in the derivation of infiltration, runoff and groundwater recharge from rainfall but also in clearly understanding the exchange of energy and water between land surface and atmosphere. Therefore, it is important to develop an integrated system which models the spatiotemporal variation of SM content and a database which stores it using all available data and modeling resources. To achieve this purpose, this study firstly reports the review on the previous journal articles discussing SM data assimilation (DA). Then, this study suggests the structure of the integrated SM modeling and database system optimized for Korea. It was found that the SM content DA technique refers to the processes in which the land surface model(LSM) simulates the overall hydrological cycle and the SM data observed from both land surface and remote sensing devices such as satellite is used to correct the SM data simulated from the LSM. This study reviewed the advanced DA technique: EnKF (Ensemble Kalman Filter) and 4D-VAR (4-Dimensional variational DA). This study also suggests an optimum structure of the integrated system for SM modeling and database for Korea. The system will firstly normalize the grid-based satellite SM observation using the SM data observed on the ground. Then, this corrected grid-based SM data will be used as the basis of assimilating the simulated SM data. Lastly, the model output and state variables such as SM content, runoff, and evapotranspiration will be stored in the grid-format in ESRI Geodatabase, which will be served to the public using the data distribution system based on the ArcGIS server and the web application. Acknowledgement This research was supported by a grant (14AWMP-B079364-01) from Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

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