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.

 
Jul 12th, 11:50 AM Jul 12th, 12:10 PM

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.