Geographical simulation is a popular method in geographical and environmental research.Many models developed to address geographic and environmental issues are distributed worldwide.However,due to the lack of portals,...Geographical simulation is a popular method in geographical and environmental research.Many models developed to address geographic and environmental issues are distributed worldwide.However,due to the lack of portals,these models are still difficult to invoke for geographical simulations in open web environments.This study designs and develops a framework to assemble service-oriented models from volunteers distributed worldwide for geographical simulations on the web.The framework consists of three layers(task layer,data exchange layer,and model execution layer)that establish a network of serviceoriented locally shared models and simulation tasks for user configurations.With the help of such a framework,users can configure simulation tasks and invoke suitable models shared worldwide for geographical simulations.This article provides an application of the distributed simulation of gross primary production(GPP)by the Biome-BioGeochemical Cycles(BGC)model in China.This application shows that the framework can be beneficial for model assembly from volunteers’computers and distributed simulation tasks that are run for geographical and environmental issues,which can be applied to Digital Earth initiatives.展开更多
As researchers globally work towards a fully digital representation of the earth and its processes-i.e.a true Digital Earth-the need grows for software and systems to link disparate computer simulation models of vario...As researchers globally work towards a fully digital representation of the earth and its processes-i.e.a true Digital Earth-the need grows for software and systems to link disparate computer simulation models of various parts of the earth in a reliable and highly functional way.Web services have been demonstrated as an effective way to share and reuse models as they enable communication and interoperation among applications via the Internet.However,even using well-designed software tools,it remains a daunting process to publish heterogeneous environmental models as web services and provide long-term maintenance in response to changing computational environments.We present an approach that enables environmental models to be published as long-term functional web services on the same platform regardless of execution mode,programming language,and computational environment conflicts.The approach adopts the OpenGMS Wrapper System(OGMS-WS)for service publishing and Docker containers for model isolation.A streamflow prediction service is developed using this approach and is applied to analyze historical streamflow trends in Bangladesh.We demonstrate that this approach can lower the barrier to deploying heterogeneous environmental models as long-term functional web services,contributing to the development of a Digital Earth.展开更多
基金supported by National Natural Science Foundation of China:[Grant Numbers 41871285,41930648,42071361,42071363,and U1811464].
文摘Geographical simulation is a popular method in geographical and environmental research.Many models developed to address geographic and environmental issues are distributed worldwide.However,due to the lack of portals,these models are still difficult to invoke for geographical simulations in open web environments.This study designs and develops a framework to assemble service-oriented models from volunteers distributed worldwide for geographical simulations on the web.The framework consists of three layers(task layer,data exchange layer,and model execution layer)that establish a network of serviceoriented locally shared models and simulation tasks for user configurations.With the help of such a framework,users can configure simulation tasks and invoke suitable models shared worldwide for geographical simulations.This article provides an application of the distributed simulation of gross primary production(GPP)by the Biome-BioGeochemical Cycles(BGC)model in China.This application shows that the framework can be beneficial for model assembly from volunteers’computers and distributed simulation tasks that are run for geographical and environmental issues,which can be applied to Digital Earth initiatives.
基金supported by National Science Fund for Distinguished Young Scholars,China:[grant number 41622108]NASA ROSES SERVIR Applied Research:[grant number NNX16AN45G].
文摘As researchers globally work towards a fully digital representation of the earth and its processes-i.e.a true Digital Earth-the need grows for software and systems to link disparate computer simulation models of various parts of the earth in a reliable and highly functional way.Web services have been demonstrated as an effective way to share and reuse models as they enable communication and interoperation among applications via the Internet.However,even using well-designed software tools,it remains a daunting process to publish heterogeneous environmental models as web services and provide long-term maintenance in response to changing computational environments.We present an approach that enables environmental models to be published as long-term functional web services on the same platform regardless of execution mode,programming language,and computational environment conflicts.The approach adopts the OpenGMS Wrapper System(OGMS-WS)for service publishing and Docker containers for model isolation.A streamflow prediction service is developed using this approach and is applied to analyze historical streamflow trends in Bangladesh.We demonstrate that this approach can lower the barrier to deploying heterogeneous environmental models as long-term functional web services,contributing to the development of a Digital Earth.
