Paper/Poster/Presentation Title
Keywords
MODIS ET; evapotranspiration; hydrological modelling; Web Processing Service; WPS
Location
Session C3: Spatio-Temporal Modelling and Integration
Start Date
12-7-2016 11:50 AM
End Date
12-7-2016 12:10 PM
Abstract
Current challenges of understanding and assessing the impacts of climate and land use changes on ecosystems worldwide demand for an ever increasing integration of data and process knowledge in environmental simulation models. While the growing performance of multi-processor computer environments and the availability of well-tested data products with global coverage provide the basis to address this demand, the seamless and automated pre-processing of existing information and their integration into environmental models often remains a crucial point. Here, Web Processing Services (WPS) can be used for an easily usable, standardized geo-information processing that links data with models. This work presents a WPS that allows to prepare MODIS global terrestrial evapotranspiration data for application in hydrological models using a two-step approach. In a first step, a mapping between MODIS raster cells and a set of target geometry features is created. Based on this mapping, the second step generates time series of interpolated MODIS data for each target geometry. The use of parallel processing in both steps of the procedure and its service-based implementation ensures high runtime performance and flexible operation. The suitability of the overall procedure will be shown in a real-world application of a spatially distributed hydrological model which takes MODIS evapotranspiration data as input to simulate runoff in a mesoscale river basin in southeastern Brazil.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Service-based Processing of MODIS Global Terrestrial Evapotranspiration Data for Hydrological Modelling
Session C3: Spatio-Temporal Modelling and Integration
Current challenges of understanding and assessing the impacts of climate and land use changes on ecosystems worldwide demand for an ever increasing integration of data and process knowledge in environmental simulation models. While the growing performance of multi-processor computer environments and the availability of well-tested data products with global coverage provide the basis to address this demand, the seamless and automated pre-processing of existing information and their integration into environmental models often remains a crucial point. Here, Web Processing Services (WPS) can be used for an easily usable, standardized geo-information processing that links data with models. This work presents a WPS that allows to prepare MODIS global terrestrial evapotranspiration data for application in hydrological models using a two-step approach. In a first step, a mapping between MODIS raster cells and a set of target geometry features is created. Based on this mapping, the second step generates time series of interpolated MODIS data for each target geometry. The use of parallel processing in both steps of the procedure and its service-based implementation ensures high runtime performance and flexible operation. The suitability of the overall procedure will be shown in a real-world application of a spatially distributed hydrological model which takes MODIS evapotranspiration data as input to simulate runoff in a mesoscale river basin in southeastern Brazil.
