The Earth System Modeling Framework is a componentbased architecture for developing and assembling climate and related models. A virtual machine underlies the component-level constructs in ESMF, providing both a foundation for performance portability and mechanisms for resource allocation and component sequencing.
CAPSULE SUMMARY:Benefits from common modeling infrastructure and component 27 interface standards are being realized in a suite of national weather and climate codes. 28
ABSTRACT 29The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate 30 models and model components that are being instrumented to conform to interoperability 31 conventions, documented to follow metadata standards, and made available either under open 32 source terms or to credentialed users. 33The ESPS represents a culmination of efforts to create a common Earth system model 34 architecture, and the advent of increasingly coordinated model development activities in the U.S. 35 ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), 36 community-developed software for building and coupling models, and the National Unified 37Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates 38 and interoperability conventions. This shared infrastructure simplifies the process of model 39 coupling by guaranteeing that components conform to a set of technical and semantic behaviors.
BODY TEXT 49The software infrastructure that underlies Earth system models includes workhorse utilities as 50 well as libraries generated by research efforts in computer science, mathematics, and 51 computational physics. The utilities cover tasks like time management and error handling, while 52 research-driven libraries include areas such as high performance I/O, algorithms for grid 53 remapping, and programming tools for optimizing software on emerging computer architectures. multiple weather and climate modeling centers could share. This idea was shaped by an ad-hoc, 60 multi-agency working group that had started meeting several years earlier, and was echoed in 61 reports on the state of U.S. climate modeling (NRC 1998, NRC 2001, Rood et al. 2000. Leads 62 from research and operational centers posited that common infrastructure had the potential to 63 foster collaborative development and transfer of knowledge; lessen redundant code; advance 641 Codes compared are CESM 1.0.3, at about 820K lines of code (Alexander and Easterbrook 2011), and ESMF 6.3.0rp1, at about 920K lines of code (ESMF metrics available online at: https://www.earthsystemcog.org/projects/esmf/sloc_annual) 4 computational capabilities, model performance and predictive skill; and enable controlled 65 experimentation in coupled systems and ensembles. This vision of shared infrastructure has been 66 revisited in more recent publications and venues; for example, in the 2012 National Research 67Council report entitled A National Strategy for Advancing Climate Modeling (NRC 2012). 68In this article we describe how the vision of common infrastructure is being realized, and how it 69 is changing the approach to Earth system modeling in the U.S. Central to its implementation is 70an Earth System Prediction Suite (ESPS), a collection of weather and climate models and model 71 components that are being instrumented to confor...
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