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Coupling Climate and Hydrological Models Interoperability Through Web Services Kathy Saint/SGI – NESII Jon Goodall/University of South Carolina Richard.

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Presentation on theme: "Coupling Climate and Hydrological Models Interoperability Through Web Services Kathy Saint/SGI – NESII Jon Goodall/University of South Carolina Richard."— Presentation transcript:

1 Coupling Climate and Hydrological Models Interoperability Through Web Services Kathy Saint/SGI – NESII Jon Goodall/University of South Carolina Richard Rood/University of Michigan Haihang You/NSF XSEDE Cecelia DeLuca/NOAA NESII CW2013 February 20, 2013

2 Outline Project Objective Motivation System Description
Components Frameworks System Driver Logical Workflow Data Flow Architecture Future Directions

3 Project Objectives The development of a distributed, service-based modeling system that incorporates both high performance computing and local, PC-based computing resources. Demonstration of a prototype two-way coupled system utilizing a high performance, highly parallel atmospheric model and a PC-based hydrology code used by local resource managers. Preservation of native infrastructure for both of the communities involved (climate research, water resources information delivery)

4 Motivation Hydrological impact studies can be improved when forced with data from climate models [Zeng et al., 2003; Yong et al., 2009] ; regional hydrology can affect climate. A technology gap exists: Many hydrological models, impacts models, and end-user services run on personal computers Most climate models run on high performance supercomputers Leveraging interface standards ESMF and OpenMI can mitigate the communication difficulties between these model types ESMF contains web services interfaces that can be used to communicate across a distributed network Both ESMF and OpenMI are widely used within their respective communities

5 High Performance Computer
System Description Soil and Water Assessment Tool – SWAT (hydrology model) runs on PC Community Atmosphere Model - CAM (climate model) runs on HPC Wrappers for both SWAT and CAM provide OpenMI interface to each model Driver (OpenMI Configuration Editor) uses OpenMI interface to timestep through models via wrappers SWAT OpenMI CAM OpenMI Wrapper Driver Personal Computer High Performance Computer ESMF Web Services ESMF CAM Component Access to CAM across the network provided by ESMF Web Services CAM output data streamed to CAM wrapper via ESMF Web Services

6 Components: SWAT SWAT is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds It was chosen for this project because it is widely used, is open source, and runs on a Windows platform

7 Components: CAM The atmospheric model chosen for this system is the Community Atmospheric Model (CAM5), part of the Community Climate System Model (CESM1.0.3) It was chosen because it has ESMF component interfaces, it is widely used, and it is open source

8 Frameworks: Earth System Modeling Framework
Is a high-performance, flexible software infrastructure that increases the ease of use, performance portability, interoperability, and reuse of Earth science applications Provides an architecture for composing complex, coupled modeling systems and includes array-based, multi-dimensional data structures Has utilities for developing individual models including utilities to make models self-describing Web services included in the ESMF distribution allow any networked ESMF component to be available as a web service.

9 Frameworks: OpenMI The OpenMI Software Development Kit (SDK) is a software library that provides a standardized interface that focuses on time dependent data transfer Primarily designed to work with systems that run simultaneously, but in a single-threaded environment [Gregerson et al., 2007] The primary data structure in OpenMI is the ExchangeItem, which comes in the form of an InputExchangeItem and an OutputExchangeItem (single point, single timestep)

10 The system driver Controls the application flow
Implemented using OpenMI’s Configuration Editor Convenient tool for the testing of the OpenMI implementations and model interactions

11 Hardware Architecture
The Atmospheric Model runs on a HPC platform Access to the HPC Compute Nodes must be through the Login Nodes Access to the Login Nodes is through the Virtual Server (Web Svcs) Personal Computer (Windows) High Performance Computer Virtual Linux Server The Client contains the OpenMI and SWAT software, which run on a Windows platform. Login Nodes (kraken) Compute Nodes (kraken)

12 Software Achitecture Client
Configuration Editor is the driver… it is used to link the models and trigger the start of the run. Hydrological model (SWAT 2005) is a modified version to work with OpenMI Access to Atmospheric model (CAM) is done through “wrapper” code that accesses ESMF Web Services via an OpenMI interface Personal Computer (Windows) OpenMI Configuration Editor OpenMI SWAT 2005 CAM OpenMI Wrapper … to Web Services

13 Software Architecture Server
HPC Login Nodes Linux Server (Web Svr) Tomcat/Axis2 Process Controller Registrar SOAP Svcs Job Scheduler In some HPC systems, access to nodes can be restrictive. In XSEDE, only the Login Nodes can communicate with the Compute Nodes. Access to/from external systems can be controlled via “gateway” systems using Web Services. Running applications (such as CAM Component Svc) on Compute Nodes must be handled by a Job Scheduler. HPC Compute Nodes Comp Svc Comp Svc Comp Svc CAM CAM CAM

14 Creating a Component Svc From an ESMF Component
Make sure ESMF Component implements standard initialize, run and finalize routines Modify the driver from this: gcomp = ESMF_GridCompCreate(name=cname, rc=rc) call ESMF_GridCompSetServices(gcomp, userRoutine=my_register_routine, rc=rc) call ESMF_GridCompInitialize(gcomp, rc=rc) call ESMF_GridCompRun(gcomp, rc=rc) call ESMF_GridCompFinalize(gcomp, rc=rc) to this: call ESMF_WebServicesLoop(gcomp, portNum=27060, rc=rc) Setup and install Process Controller, Registrar, and Web Server applications

15 Logical Workflow One-Way Coupling
Driver SWAT/OpenMI ATM/OpenMI Wrapper ESMF Web Services ESMF Component Initialize Prepare GetValues Finish Dispose NewClient RunTimestep Finalize GetData EndClient ESMF_GridCompInitialize ESMF_GridCompRun ESMF_GridCompFinalize ValueSet

16 Logical Workflow Two-Way Coupling
Driver SWAT/OpenMI ATM/OpenMI Wrapper ESMF Web Services ESMF Component Initialize Prepare GetValues Finish Dispose NewClient RunTimestep Finalize GetData EndClient ESMF_GridCompInitialize ESMF_GridCompRun ESMF_GridCompFinalize Extrapolate ValueSet

17 Data Flow One-Way Coupling
High Performance Computer Personal Computer GetValues ESMF Component/CAM GetDataValues SWAT/OpenMI Input Exchange Item ESMF State CAM/OpenMI Wrapper Output Exchange Item The data is pulled from the CAM Component to SWAT via the wrapper , initiated by the OpenMI GetValues call; this call is made once per timestep. Data is exchanged between CAM and SWAT using the OpenMI Exchange Item structures that handle the translation from grid to point values

18 Data Flow Two-Way Coupling
ESMF Component/CAM ESMF Export State CAM/OpenMI Wrapper Output Exchange Item Import SWAT/OpenMI Input GetValues Personal Computer High Performance Computer GetDataValues SetInputData ESMF Import State In two-way coupling, each model pulls the data from the other model using the OpenMI GetValues method. Extrapolation is used on the first timestep to break the deadlock between the two model requests. OpenMI Input and Output Exchanges items are again used to exchange and translate the data.

19 Model Configurations CAM SWAT Global atmospheric model
Model run: 1 day Timestep: 1800 sec Dynamical core: finite volume Horizontal grid: 10x15 Export data variables: surface air temperature precipitation wind speed relative humidity solar radiation SWAT Hydrology science information provided by Jon Goodall of University of S. Carolina Lake Fork Watershed (TX) Watershed area: km2 Model run: 2 years, 1977 – 1978 Timestep = 1 day Weather stations: wea62 (33.03 N, W) wea43 (33.25 N, W) Export data variables: evapotranspiration

20 Scaling Analysis 4 areas of increasing size
3 variations of CAM resolution (.25, .5, and 1 degree) CAM almost always gating factor in run times Data transfer rates minimal 5 data values CAM to SWAT 1 data value SWAT to CAM

21 Future Tasks Additional SWAT configurations for larger scales
Readying the system for scientific experimentation Currently working on replacement of CAM with WRF Abstraction of data exchange within the ESMF wrapper code to accommodate configuration of different variables for different model implementations Setting up SWAT as a service (running on Windows platform) so both models can be remotely accessible Exploration of cloud computing services


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