An Overview of CSDMS, the Community Surface Dynamics Modeling System and the Earth System Bridge Project

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1 An Overview of CSDMS, the Community Surface Dynamics Modeling System and the Earth System Bridge Project Scott D. Peckham Senior Research Scientist at INSTAAR Lead PI for Earth System Bridge Former Chief Software Architect for CSDMS University of Colorado, Boulder January 23, 2015 csdms.colorado.edu

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4 CSDMS: 1238 Members, 5 Working Groups, 6 Focus Research Groups

5 One Super Model or Stone Soup?

6 Some Key Concepts and Terms Model: State variables for some system of interest are discretized in space (on a computational grid) and new values are computed from previous values by marching forward in time according to a set of rules (e.g. laws of physics). Model Component: A model that has been specially prepared for plug-andplay reusability. (i.e. a standard interface & compiled for language interoperability). Interface: A standardized set of functions, which a caller uses to interact with a resource such as a model, database or service. Heterogeneous resources wrapped with a standard interface then operate in a familiar way. Modeling Framework: A software container in which pre-compiled model components are instantiated, configured and dynamically linked to rapidly create a customized model. (With a birds-eye view of all components.) Workflow: Software that allows a chain of steps to be saved, modified and re-executed. Each step uses an application to create an intermediate product that is passed along to the next step, often as a file.

7 Linking Component-based Models: How Can Two Models Differ? Programming language (C, C++, Fortran, Java, Python, etc.) Solution: Babel and Bocca (CCA toolchain) Computational grid (triangles, rectangles, Voronoi, points, etc.) Solution: ESMF regridder (parallel, spatial interpol.) Timestepping scheme (fixed, adaptive, local) Solution: Temporal interpolation tool Variable names Need some means of semantic mediation Solution: CSDMS Standard Names Variable units Solution: UDUNITS (Unidata)

8 Taming Heterogeneity with Interfaces Before: Each resource is unique. Own ways of doing things. Respond differently. Can become unstable. Difficult to control. After: Uniform outward appearance. Respond to same commands. Interchangeable units. Have a chain of command. Work as a team.

9 Reconciling Differences with Standards vs. If we reconcile differences between the resources in a pairwise manner, the amount of work, etc. grows fast: Cost(N) = N (N-1) / 2 ~ N 2. Introduce a new, generic or standard representation (the hub ), then map resources to and from it. The amount of work, maintenance, etc. drops to: Cost(N) = N.

10 Building a Modeling Framework CSDMS has integrated a variety of powerful, open-source tools to build its modeling framework, such as: Babel Language interoperability (C,C++,Java,Python,Fortran) Bocca Component preparation and project management Ccaffeine Low-level model coupling (parallel environ.) ESMF Regrid Multi-processor spatial regridding OpenMI Regrid Single-processor spatial regridding NetCDF Scientific data format (self-describing, etc.) VisIt Visualization of large data sets (multi-proc.) We developed our own interface standards, BMI & CMI, and greatly extended the original Ccaffeine GUI to create our CSDMS Web Modeling Tool for interactive model coupling.

11 Language Interoperability with Babel Language interoperability is a powerful feature of the CCA framework. Components written in different languages can be rapidly linked in HPC applications with hardly any performance cost. This allows us to shop for open-source solutions (e.g. libraries), gives us access to both procedural and object-oriented strategies (legacy and modern code), and allows us to add graphics & GUIs at will.

12 CSDMS Regridding Tools ESMF Regrid (multi-proc., Fortran) OpenMI Regrid (single-proc., Java)

13 The CSDMS Standard Names The CSDMS Standard Names can be viewed as a lingua franca that provides a bridge for mapping variable names between models. They play an important role in the Basic Model Interface (BMI). Model developers are asked to provide a BMI interface that includes a mapping of their model's internal variable names to CSDMS Standard Names and a Model Metadata File that provides model assumptions and other information. IMPORTANT: Model developers continue to use whatever variable names they want to in their code, but then "map" each of their internal variable names to the appropriate CSDMS standard name in their BMI implementation. Main Page: csdms.colorado.edu/wiki/csdms_standard_names Basic Rules: csdms.colorado.edu/wiki/csn_basic_rules Object Names: csdms.colorado.edu/wiki/csn_object_templates Operation Names: csdms.colorado.edu/wiki/csn_operation_templates Quantity Names: csdms.colorado.edu/wiki/csn_quantity_templates Process Names: csdms.colorado.edu/wiki/csn_process_names Assumption Names: csdms.colorado.edu/wiki/csn_assumption_names Metadata Names: csdms.colorado.edu/wiki/csn_metadata_names Model Metadata Files: csdms.colorado.edu/wiki/csn_mmf_example

14 The CSDMS Standard Names Data Models like RDF and EAV use triples like: Subject + Predicate + Object, and Entity/Object + Attribute + Value (object-oriented) CSDMS Standard Names use a similar pattern for creating unambiguous and easily understood standard variable names or preferred labels according to a set of rules. These are then used to retrieve values and metadata. The pattern is: Object name + [Operation name] + Quantity name Examples: atmosphere_carbon_dioxide partial_pressure atmosphere_water liquid_equivalent_precipitation_rate earth_ellipsoid equatorial_radius soil saturated_hydraulic_conductivity We have also started building a set of standard Attribute and Process Names.

15 How Can a Model be Converted to a Reusable, Plug-and-Play Component? CSDMS has developed two model interfaces, one called Basic Model Interface (BMI) and one called Component Model Interface (CMI) for this purpose. BMI requires a developer to make some relatively simple, noninvasive, and framework-independent changes to his/her model source code, mostly by adding some new functions. These provide a caller with 3 key things: (1) fine-grained control (i.e. IUF), (2) variable getters and setters and (3) model metadata. The model can still be used in stand-alone mode, just as before. CSDMS automatically wraps BMI-enabled models to provide them with a CMI interface. CMI makes function calls to the (1) framework, (2) service components (the reconcilers ), (3) the BMI of the wrapped model and (4) the CMI of other plug-and-play components. CMI gives a model many new capabilities, including NetCDF output.

16 How BMI and CMI Work

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18 Multiple Methods per Process Snowmelt None Degree-Day Energy Balance Evaporation Priestley- Taylor None Energy Balance Channel Flow Dynamic Wave Kinematic Wave None For each physical process (blue), there are typically many different ways to parameterize it, ranging from not at all to simple (with few inputs) to advanced (with many inputs).

19 The CSDMS Modeling Tool (CMT)

20 Tabbed Dialog for Meteorology

21 HTML Help for Meteorology Component

22 HTML Help for Meteorology Component

23 NSF s EarthCube Initiative 10-year time frame (2+ years in) Seamless integration for the geosciences via transformative cyberinfrastructure Many funded projects: - Building Blocks - Research Coordination Networks

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26 Earth System Bridge BMI Adapters CSDMS OMS ESMF OpenMI Other BMI Adapters will allow a BMI-enabled model to be used in any component-based modeling framework.

27 Earth System Bridge, CoG Page

28 IWCCT, CoG Page

29 ES - Framework Definition Language

30 For More Information Peckham, S.D., E.W.H. Hutton and B. Norris (2013) A component-based approach to integrated modeling in the geosciences: The Design of CSDMS, Computers & Geosciences, special issue: Modeling for Environmental Change, 53, Peckham, S.D. (2014) The CSDMS Standard Names: Cross-domain naming conventions for describing process models, data sets and their associated variables, Proceedings of the 7 th Intl. Congress on Env. Modelling and Software, International Environmental Modelling and Software Society (iemss), San Diego, CA. (Eds. D.P. Ames, N.W.T. Quinn, A.E. Rizzoli). Peckham, S.D. (2014) EMELI 1.0: An experimental smart modeling framework for automatic coupling of self-describing models, Proceedings of HIC 2014, 11 th International Conf. on Hydroinformatics, New York, NY.

31 For More Information Basic Model Interface (BMI): CSDMS Standard Names:

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