University of Colorado
|ESGF Data Services|
|Project Administrator Tutorials|
|Node Administrator Login|
|Home Project Setup|
|Home Page Example|
|Data Search Configuration|
|Data Access Control Setup|
|Data Transfer Node Setup|
|Header and Footer|
|ESGF-CoG User Accounts|
|Restore from backup|
|"Local Shard" Setup|
|Atomic Metadata Updates|
|CoG Installation or Upgrade|
|Earth Sciences Metadata|
|Climate Model Metadata|
|ESGF Search RESTful API|
|REST Publishing Services|
|CoG Installation from Docker|
|CoG Installation on Mac OSX|
|Long Name||Earth System CoG|
|Description||Earth System CoG is a collaboration environment designed to support distributed, complex, multi-part projects that require data sharing, such as model intercomparison projects (MIPs). Wiki-based project websites and workspaces are a core capability of CoG. A set of projects hosted on CoG can be organized into a network, and project information consolidated and communicated across the network. CoG offers a user interface to Earth System Grid Federation (ESGF) capabilities that can be customized by project (e.g. which data nodes to search, choice of search facets, facet groupings). It also offers access to Earth System Documentation (ES-DOC) collection, display, and comparison. By assembling these and other functions into an easy to use, structured, web-based environment, CoG encourages the close association of data with supporting metadata and contextual information.|
|Long Name||NOAA Environmental Software Infrastructure and Interoperability Group (NESII)|
|Description||The NESII group collaboratively develops a range of software infrastructure products for the Earth system sciences. These include model coupling systems, grid remapping and other utilities, metadata services, data subsetting and reformatting tools, and model intercomparison and collaboration environments. NESII products are distinguished by their outstanding computational performance and portability, range of features and options, production quality, and level of user support. They can stand alone, but they are also built to work together as a suite to address complex problems.|
|Long Name||Earth System Modeling Framework|
|Description||The ESMF (Earth System Modeling Framework) is open source software for building climate, numerical weather prediction, data assimilation, and other Earth science software applications. These applications are computationally demanding and usually run on supercomputers. The ESMF project is distinguished by its strong emphasis on community governance and distributed development, and by a diverse customer base that includes modeling groups from universities, major U.S. research centers, the National Weather Service, the Department of Defense, and NASA.|
|Long Name||Tampa Bay Water: Improve the Way We Look at Water|
|Description||We are students from University of Michigan, doing the Climate Change Informatics course project helping Tampa Bay Water improve their system and climate data usability, thus providing better water services.|
|Description||The goal of OpenClimateGIS is to make climate model datasets readily available in commonly used, modern geospatial formats used by GIS software, browser-based mapping tools, and virtual globes.|
|Long Name||Earth System Bridge|
|Description||The Earth System Bridge project, an EarthCube Building Block, is building connections between disciplines, technologies, and communities. It draws from significant disciplinary and interdisciplinary expertise in the development, implementation and support of geoscientific modeling architectures and in the adoption of community standards in model development and data management. The Earth System Bridge team is integrating existing model architectures, model coupling standards, and data standards into a set of open-source building blocks that will transform the process of Earth system model coupling, and bridge present technological and cultural gaps.|
|Long Name||The WGCM Infrastructure Panel|
The WIP will serve as a counterpart to the CMIP Modeling Panel and will enable the modeling groups, through the WGCM, to maintain some control over the technical requirements imposed by the increasingly burdensome MIPs. The membership will also include representation of those responsible for the standards and conventions and the IT and software infrastructure underpinning the MIPS.
The mission of the new panel is to promote a robust and sustainable global data infrastructure in support of the scientific mission of the WGCM. Drawing on experts intimately familiar with the scientific goals of the WGCM and aware of the promises and limitations of infrastructural technologies, the WIP will formulate achievable goals for global data infrastructure, ensure coordination of the various groups building components of the system, and advise the relevant institutions on the requirements and commitments needed to maintain its long term vitality.
Rationale and Terms of Reference:
In 2013 a group of concerned individuals articulated in a letter to the WGCM (https://drive.google.com/open?id=0B-X2uY_FGt7Xd...) why we needed an Infrastructure panel. The WGCM agreed and approved the WIP's Terms of Reference (https://drive.google.com/open?id=0B-X2uY_FGt7XZ...).
|Long Name||3rd Workshop on Coupling Technologies for Earth System Models|
|Description||Workshop web space for the third coupling workshop to be held April 20-22, 2015 in Manchester.|
|Long Name||ESMF Python Interface (stable procedural interface)|
|Description||ESMP is a Python interface to the Earth System Modeling Framework (ESMF) regridding utility. ESMF has a robust, parallel and scalable remapping package, used to generate remapping weights. It can handle a wide variety of grids and options: logically rectangular grids and unstructured meshes; regional or global grids; 2D or 3D; and pole and masking options. ESMP is an older, stable version of this utility with an interface that closely follows the underlying Fortran code. A newer interface is available called ESMPy.|
|Long Name||Earth System Model Documentation|
|Description||ES-DOC-Models is a joint international effort to develop metadata services for a set of climate modeling and related projects. This project is the evolution of the Metafor project and Earth System Curator project. Development focuses on the Common Information Model (CIM), a schema for describing Earth System Models.|
|Long Name||Dynamical Core Model Intercomparison Project|
The Dynamical Core Model Intercomparison Project (DCMIP) evaluates of the fluid flow component of atmospheric General Circulation Models (GCMs). The goal of DCMIP is to survey the advantages and trade-offs of the many numerical and computational design options in the dynamical cores of weather and climate models. These options incorporate the choice of the equation set, numerical schemes, computational grids and their grid staggering options, dissipative mechanisms, and the computational efficiency. In addition, the coupling strategy to physical parameterizations and simple moisture feedbacks are assessed. The assessments utilize a suite of idealized dry and moist dynamical core test cases.
Sponsored by NOAA, NSF, DoE, NCAR CISL
|Long Name||WIP Data Request Working Group|
|Description||Project to formulate the data request for CMIP6 -- through discussion with MIP coordinators.|
|Long Name||The Dynamical Core Model Intercomparison Project (DCMIP) and Summer School, August 2012|
The Dynamical Core Model Intercomparison Project (DCMIP) and associated two-week summer school in August 2012 highlights the newest modeling techniques for global climate and weather models. Special attention is paid to non-hydrostatic global models and their dynamical cores that now emerge in the General Circulation Model (GCM) community. Such future-generation GCMs allow for high-resolution simulations and offer new pathways for embedded variable-resolution meshes.
The objectives of DCMIP and its summer school are (1) to establish an open-access database via the Earth System Grid that hosts DCMIP simulations for community use, (2) to host about 10-15 dynamical core modeling groups at NCAR in August 2012 for the hands-on student-run DCMIP model intercomparison project, (3) to establish new non-hydrostatic dynamical core test cases in the community that also include simple moisture processes (4) teach a group of about 30 multi-disciplinary students and postdocs how today’s and future atmospheric models are or need to be built, and (5) to hear from keynote speakers who give lectures on modern GCM modeling techniques, uncertainty quantification, the physics-dynamics coupling and innovative computational tools.
This multidisciplinary two-week summer school and Dynamical Core Model Intercomparison Project (DCMIP) takes place at the National Center for Atmospheric Research (NCAR) in Boulder, CO, USA, from 7/30-8/10/2012. The event brings together graduate students, postdocs, atmospheric modelers, expert lecturers and computer specialists to create a stimulating, unique and hands-on driven learning environment.
The DCMIP summer school is sponsored by NOAA, the National Science Foundation (NSF), the Department of Energy (DoE), NCAR and the University of Michigan.
|Long Name||National Unified Operational Prediction Capability Layer|
|Description||The National Unified Operational Prediction Capability (NUOPC) is a consortium of Navy, NOAA, and Air Force modelers and their research partners. It aims to advance the weather prediction modeling systems used by meteorologists, mission planners, and decision makers. NUOPC partners are working toward a common model architecture - a standard way or building models - in order to make it easier to collaboratively build modeling systems. To this end, they have developed a NUOPC Layer that defines conventions and templates for using the Earth System Modeling Framework (ESMF). The NUOPC Layer also includes a compliance checker that helps to guide users through implementation of compliant model components.|
|Long Name||ESMF Web Services|
|Description||This software enables models implemented as the Earth System Modeling Framework (ESMF) components to run as web services. ESMF is based on the idea of components, which may represent physical domains such as the atmosphere, ocean, or cryosphere, or specific processes such as ocean biogeochemistry. These components have a standard interface that includes a specification of input fields, output fields, and time information. When running on high performance computing systems, ESMF components are usually called as subroutines of a main program. With ESMF web services, the components can be run on multiple computer systems, and can communicate with each other through web protocols.|
|Description||The Cupid project is creating a software development and user training environment for climate models. There are two main activities. The first is the creation of an Integrated Development Environment (IDE) based on the Eclipse framework, work led by the Georgia Institute of Technology. The second is the componentization of GISS ModelE, a collaboration that includes staff from NOAA NESII, NASA GISS and NASA GSFC. Standard ESMF and NUOPC component interfaces will be prototyped. As the project proceeds, we plan to merge these lines of development, so that ModelE can be linked to the IDE. The resulting system should allow GISS modelers and new users to change, configure, and run the model more easily.|
|Long Name||ESMF Regrid Weight Generation|
|Description||The ESMF_RegridWeightGen software is a utility for generating interpolation weights from file. It is bundled with the Earth System Modeling Framework (ESMF) distribution and is an easy way to begin using ESMF regridding|
|Long Name||Computational Modeling Algorithms and Cyberinfrastructure|
|Description||This is a workspace for the CMAC program. CMAC is a NASA program that provides research and development opportunities for new or improved computational modeling algorithms; the exploitation of new computing, storage, and networking architectures, the development of programming and analysis environment, interfaces between observational data and models; large scale observational input data and model output data management, and the adoption of rigorous software engineering standards, practice, and tools. This program is also concerned about the interdisciplinary workforce development, especially at the interface between Earth, computing and computational sciences, and software engineering.|
|Long Name||The NCEP Global Forecast System/NOAA Environmental Modeling System Summer School|
|Description||The National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) is pleased to announce a four-day Summer School on the NOAA operational Global Forecast System (GFS) within the NOAA Environmental Modeling System (NEMS) framework. The Summer School will be held at NCEP/EMC at the new NOAA Center for Climate and Weather Prediction in College Park, Maryland on July 29-August 1, 2013.|
|Long Name||ESMF Python interface (Pythonic prototype)|
|Description||ESMPy is a prototype Python interface to the Earth System Modeling Framework (ESMF) regridding utility. ESMF has a robust, parallel and scalable remapping package, used to generate remapping weights. It can handle a wide variety of grids and options: logically rectangular grids and unstructured meshes; regional or global grids; 2D or 3D; and pole and masking options. ESMPy has an interface that is "Pythonic." ESMP is an older, stable version of this utility with an interface that closely follows the underlying Fortran code.|
|Long Name||GFDL Perfect Model Test Framework|
|Description||GFDL is developing a framework for systematic testing of empirical-statistical downscaling (ESD) schemes. It uses the approach that Laprise and collaborators call the "big-brother" framework, which is also referred to as "perfect model." High-resolution model output is used as a "nature run" and used in place of observations to train the ESD scheme under testing. The data is then interpolated to a coarse grid (the "little brother") and the ESD scheme attempts to downscale and bias-correct. The output of ESD can then be rigorously compared to the original nature run on a chosen list of metrics.|
|Long Name||Earth System Prediction Suite|
The Earth System Prediction Suite (ESPS) is a collection of interoperable codes used for forecasts and projections, with timescales ranging from hours to decades. They represent an agreement among modeling centers to use metadata standards and a compatible component interface.
ESPS is being developed under the Earth System Prediction Capability (ESPC) program. The process of making models NUOPC-compliant is a broader activity with sponsors that include NASA, NOAA, and the Department of Defense.
|Description||ClimateTranslator is a web-based graphical user interface that allows users to locate climate data, create geographical subsets, compute climate derivatives, and return values and associated metadata in various formats. It runs on top of OpenClimateGIS.|
|Long Name||Model Coupling Toolkit|
|Description||MCT is a set of open-source software tools for creating coupled models. MCT is fully parallel and can be used to couple message-passing parallel models to create a parallel coupled model. MCT is available as a small library and a set of Fortran90 modules.|
|Long Name||Hydro-Climate Modeling System|
|Description||The hydro-climate modeling system is a distributed, service-based modeling system that incorporates both high performance computing and local, PC-based computing resources. At its current stage of development, it is a prototype two-way coupled system utilizing a highly parallel atmospheric model and a PC-based surface hydrology code used by water resource managers. It preserves the native infrastructure for both of the communities involved (climate research, water resources information delivery).|
|Long Name||Optimized Infrastructure for ESPC|
|Description||The Optimized Infrastructure for ESPC project has three parts: 1) optimization of coupled models for emerging computer platforms, 2) integration of DOE tools and libraries, including the Model Coupling Toolkit and MOAB finite element library, with the Earth System Modeling Framework, and 3) integration of the HYbrid Coordinate Ocean Model (HYCOM) with the Community Earth System Model. Collectively these activities work to unify the community, merge widely used coupling tools to increase interoperability across timescales, and prepare for extreme scale computing.|
|Long Name||Coupling Testbed|
|Description||The Coupling Testbed is a collaborative area where software developers can explore new challenges in coupling Earth system models. Initial topics include coupling models discretized on adaptive grids, coupling in interactive ensembles and multi-model ensembles, optimizations for multi-component modeling systems, and connecting coupling technologies across disciplines. The Testbed was initiated as part of the Earth System Prediction Capability (ESPC), under the Office of Naval Research.|
|Long Name||Earth System Framework Definition Language|
|Description||The Earth System Framework Definition Language (FDL) allows the functional scope and characteristics of modeling frameworks used for Earth system model coupling to be codified in a standardized way. It will serve as a theoretical basis for understanding, describing, and connecting frameworks such as the Community Surface Dynamics Modeling System and the Earth System Modeling Framework.|
|Long Name||The North American Multi-Model Ensemble|
|Description||The North American Multi-Model Ensemble (NMME) is an experimental multi-model seasonal forecasting system consisting of coupled models from US modeling centers including NOAA/NCEP, NOAA/GFDL, IRI, NCAR, NASA, and Canada's CMC. A collaborative and coordinated implementation strategy for an NMME prediction system has been developed and is currently delivering real-time seasonal-to-interannual predictions on the NOAA Climate Prediction Center (CPC) operational schedule. The hindcast and real-time prediction data is readily available and in graphical format from CPC. Moreover, the NMME forecast are already currently being used as guidance for operational forecasters.|
|Long Name||International Working Committee on Coupling Technologies|
|Description||The International Working Committee on Coupling Technologies (IWCCT) organizes global efforts related to the characterization, comparison, and benchmarking of coupling technologies.|
A wide variety of observationally-based datasets are used for climate model evaluation. Obs4MIPs refers to a limited collection of well-established and documented datasets that have been organized according to the CMIP5 model output requirements and made available to the research community in the same way CMIP5 is accessed. Each Obs4MIPs dataset corresponds to a field that is output in one or more of the CMIP5 experiments. This technical alignment of observational products with climate model output greatly facilitates model data comparisons. Guidelines have also been developed for Obs4MIPs product documentation that is of particular relevance for model evaluation. More recently, the World Climate Research Program (WCRP)'s Data Advisory Council (WDAC) has initiated a Task Team to provide governance and guidance to obs4MIPs (see Governance tab).
To summarize, products available via Obs4MIPs are:
1. Directly comparable to a model output field defined as part of CMIP5
2. Open to contributions from all data producers that meet the Obs4MIPs requirements (see below)
3. Well documented, with traceability to track product version changes
4. Served through ESGF
When the CMIP6 experiments are finalized, obs4MIPs will update its protocols to include CMIP6 variables.
NASA/JPL and DOE/PCMDI initiated this activity with a focus on monthly mean near global satellite products and a limited selection of higher frequency data. To date, a variety of satellite products have been contributed to obs4MIPs from NASA. Cloud related datasets have been contributed by the CFMIP-OBS activity (http://climserv.ipsl.polytechnique.fr/cfmip-obs/), and some data from ESA (http://www.esa.int/ESA) is now available.
The CMIP5 simulation protocol (Taylor et al., 2011) is utilized as the guideline for identifying which products to make available via the ESGF, in particular: which variables, and for what periods, temporal frequencies, and spatial resolutions. A planning workshop sponsored by NASA and the DOE brought together experts in satellite observations and climate model diagnosis (held at PCMDI in October 2010, Gleckler et al., 2011). These initial efforts along with a summary of the activity were also highlighted in a BAMS In-Box article (Teixeira et al., 2014).
This effort has been initiated with support from the United States' National Aeronautical and Space Administration (NASA) and Department of Energy (DOE) with the intent of enabling additional data providers to contribute products. In addition, the World Climate Research Program (WCRP)'s Data Advisory Council (WDAC) has initiated a Task Team to provide governance and guidance to obs4MIPs (see Governance tab).
In cases where acknowledgement is needed to the obs4MIPs activity as a whole, please use the following language as guidance. "...like to acknowledge the obs4MIPs activity, a project initiated by the National Aeronautical and Space Administration (NASA) and U.S. Department of Energy (DOE), with governance provided by the World Climate Research Program's (WCRP) Data Advisory Council (WDAC)".
In cases where the acknowledgement is needed to specific data sets, please refer to the "How to Cite" item in the menu to the left, as well as the guidance given on Acknowledgments in the data set's corresponding Technical Document.
Gleckler, P., R. Ferraro, and D. Waliser (2011), Improving use of satellite data in evaluating climate models, Eos Trans. AGU, 92(20), http://onlinelibrary.wiley.com/doi/10.1029/2011....
Taylor, K E., Stouffer, R., and G A Meehl (2011): An Overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society. http://dx.doi.org/10.1175/BAMS-D-11-00094.1.
Teixeira, J., D. Waliser, R. Ferraro, P. Gleckler, T. Lee and G. Potter, 2014: Satellite Observations for CMIP5: The Genesis of Obs4MIPs. Bull. Amer. Meteor. Soc., early online release http://dx.doi.org/10.1175/BAMS-D-12-00204.1
|Long Name||ESMF Metadata Generation|
|Description||Using ESMF Attributes to support model self documentation via metadata generation.|
|Long Name||First Workshop on Coupling Technologies for ESMs|
|Description||CERFACS and the Georgia Institute of Technology organized a workshop on the theme of “Coupling Technologies for Earth System Modelling : Today and Tomorrow”. The first thrust of the workshop was to assess the state of the art in ESM coupling frameworks. The second thrust was to discuss a vision for coupling in the year 2020.|
|Long Name||Second Workshop on Coupling Technologies for ESMs|
|Description||Second Workshop on Coupling Technologies for Earth System Models|
|Long Name||GASS-YoTC Vertical Structure & Physical Processes|
A Joint Research Activity by the GEWEX Atmosphere System Study (GASS) [http://www.gewex.org/gass_panel.html] and WCRP-WWRP/THORPEX Year of Tropical Convection (YOTC) Activity [http://yotc.ucar.edu] & WGNE MJO Task Force [http://www.wmo.int/pages/prog/arep/wwrp/new/MJO...]
The GASS-YoTC data and access services are hosted by the NASA Jet Propulsion Laboratory.
|Long Name||CF String Syntax|
|Description||CF String Syntax (CFSS) is a format for expressing semantically meaningful assemblages of CF metadata in strings suitable for manipulation and comparison. CFSS defines a syntax for associating standard names with qualifiers that may be coordinate variables or cell methods. It is intended to be extensible to constructs such as non-cell-based operators. A driver for creating CFSS strings is to enable the semantic mediation of fields passed between components during model run-time. Standard names alone often cannot express the features of the data that are necessary for this sort of brokering. Important features of CFSS are that it uses only CF-compliant content and is backward-compatible with existing standard names.|
|Long Name||ESPC Air-Ocean-Land-Ice Global Coupled Prediction|
A significantly improved capability to simulate and predict the coupled global air-ocean-wave- land-ice system at eddy-resolving spatial scales in a computationally and operationally efficient and massively parallel architecture towards real-time, predictions is desired. Responders to this announcement proposed work in collaboration with the Naval Research Laboratory (NRL), Department of Energy (DOE), National Oceanic and Atmospheric Administration (NOAA), and/or National Center for Atmospheric Research (NCAR) laboratories; and should consider an interdisciplinary team of computer scientists, oceanographic and meteorological scientists, numerical methods experts, and software engineers. Projects use the Navy, DOE and NOAA's component models and conduct research towards the following scientific and engineering goals:
Predictive simulations on heterogeneous architectures Central Processing Unit (CPU), MIC, GPU: identification of representative code patterns that either look particularly amenable or intractable to refactoring; establishment of pathways to maintain single source code compatible with multiple platforms; and determination of mechanisms to achieve optimal performance and portability.
Identification of key bottlenecks in component models such as Navy Global Environmental Model (NAVGEM), Global Forecast System (GFS), Non-hydrostatic Unified Model of the Atmosphere (NUMA), Model for Prediction Across Scales (MPAS), High Resolution Atmospheric Model (HIRAM), Non-Hydrostatic Icosahedral Model (NIM), Community Earth System Model (CESM), Hybrid Coordinate Ocean Model (HYCOM), Modular Ocean Model (MOM), Community Ice Code (CICE), and WAVEWATCH 3 and minimization of the impact in resulting systems.
Identification or development of software tools to facilitate code porting to maximize performance, assess memory and communication infrastructures efficiently, and minimize cross- platform communication and data copies.
Addressing of language based or directive based compiler solutions in coordination with a model developers working group across similar national efforts at NOAA, NCAR, DOE, and National Aeronautics and Space Administration (NASA).
Assessment of the performance in terms of speed and accuracy of the resulting multi-platform versions of the component models, coupling interfaces, data-assimilation, and post-processing against the current modeling suite.
Use of these new multi-platform versions in the representation of air-sea coupled processes such as tropical cyclones, the Madden-Julian Oscillation, El Nino-Southern Oscillation (ENSO), Atlantic Meridional Mode (AMM), or the sub-seasonal to annual Arctic sea-ice evolution in coordination with the Earth System Prediction Capability (ESPC) initiative (www.espc.oar.noaa.gov).
Creation of a working group of dynamical and observational environmental scientists, process modelers, model developers, and computer scientists to assess model performance and provide recommendations.
One technical goal of this topic is, by the end of the collective efforts, to produce a data- assimilative, eddy-resolving, high-resolution air-ocean-land-ice coupled prediction system suitable for medium-range to seasonal forecasts that might begin the transition process to U.S. operational environmental prediction centers. The NOPP-funded groups collectively perform the background scientific research necessary to design and test such a model, including the data assimilation component.
|Long Name||NPS-NRL-Rice-UIUC Collaboration on Navy Atmosphere-Ocean Coupled Models on Many-Core Computer Architectures|
The goal of this project is threefold.
The first goal is to identify the bottlenecks of the
Nonhydrostatic Unified Model of the Atmosphere (NUMA) and then
circumvent these bottlenecks through the use of: 1) analytical tools to
identify the most computationally intensive parts of both the dynamics
and physics; 2) intelligent and performance portable use of
heterogeneous accelerator-based many-core machines, such as General
Purpose Graphics Processing Units (GPGPU or GPU, for short) or Intel's
Many Integrated Core (MIC), for the dynamics; and 3) intelligent use
of accelerators for the physics.
The second goal is to implement Earth System Modeling Framework (ESMF)
interfaces for the accelerator-based computational kernels of NUMA
allowing the study of coupling many-core based components.
We will investigate whether the ESMF data structures can be used to
streamline the coupling of models in light of these new computer
architectures which require
memory access that has to be carefully orchestrated to maximize both
cache hits and bus occupancy for out of cache requests.
The third goal is to implement NUMA as an ESMF component allowing NUMA
to be used as an atmospheric component in a coupled earth system
application. A specific outcome of this goal will be a demonstration
of a coupled air-ocean-wave-ice system involving NUMA, HYCOM, Wavewatch III,
and CICE within the Navy ESPC\@. The understanding gained
through this investigation will have a direct impact on the Navy ESPC
that is currently under development.
NUMA has already been shown to scale up to tens of thousands of
processors on CPU-based distributed-memory
platforms. This impressive scalability has been
achieved through the use of the Message Passing Interface to exchange data between processors. The work proposed here
will further increase the performance of NUMA especially for the most
costly operations that are currently taking place on-processor.
Examples of such operations include the right-hand-side (RHS) vectors
formed by the continuous/discontinuous Galerkin (CG/DG) high-order
spatial operators, the implicit time integration strategy, and the
sub-grid scale physics.
|Long Name||Accelerated Prediction of the Polar Ice and Global Ocean|
|Description||This project, funded by the National Ocean Partnership Program, is devoted to creating optimized ocean and ice models for Arctic prediction on emerging architectures.|
|Long Name||RRTMGP: A High-Performance Broadband Radiation Code for the Next Decade|
|Description||We will develop a high-performance broadband radiation code for the current generation of computational architectures. This code, called RRTMGP, will be a completely restructured and modern version of the accurate RRTMG radiation code that has been implemented in many General Circulation Models (GCMs) including the Navy Global Environmental Model (NAVGEM), the NCAR Community Earth System Model (CESM), and NOAA’s Global Forecast System (GFS). Our proposed development will significantly lessen a key bottleneck in these highly complex and coupled models, namely the large fraction of computational time currently required for the calculation of radiative fluxes and heating rates. This will allow these models to increase their resolution and/or the complexity of their other physical parameterizations, thereby enabling a large potential increase in model performance.|