A functional test platform for the Community Land Model

Wang, Dali; Xu, Yang; Thornton, P. E.; King, A. W.; Steed, Chad A.; Gu, Lianhong; Schuchart, Joseph

doi:10.1016/j.envsoft.2014.01.015

Cited by 28 publications

(17 citation statements)

References 10 publications

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“…However, new initiatives to pull out specific functional parameters from TBMs are promising. For example, a new functional testing platform has been developed for CLM (the land component of the Community Earth System Model), which has successfully extracted the photosynthetic subunit from CLM for testing and modification, and includes a user‐friendly graphical user interface (GUI) (Wang et al ., ). Both the extraction of belowground functional modules in current TBMs and the addition of new modules (e.g.…”

Section: Recommendations For Leveraging Root Knowledge Into Modelsmentioning

confidence: 97%

“…Many TBMs have quite complex interlinked source files and algorithms that, when paired with earth system models, make testing of specific mechanistic process simulations slow and difficult (Wang et al ., ). In addition, the structure is not easy to assess or comprehend by nonmodelers, thereby excluding experimentalists from model development and improvement efforts.…”

Section: Recommendations For Leveraging Root Knowledge Into Modelsmentioning

confidence: 97%

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Root structural and functional dynamics in terrestrial biosphere models – evaluation and recommendations

et al. 2014

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59I.59II.62III.69IV.7373References73 Summary There is wide breadth of root function within ecosystems that should be considered when modeling the terrestrial biosphere. Root structure and function are closely associated with control of plant water and nutrient uptake from the soil, plant carbon (C) assimilation, partitioning and release to the soils, and control of biogeochemical cycles through interactions within the rhizosphere. Root function is extremely dynamic and dependent on internal plant signals, root traits and morphology, and the physical, chemical and biotic soil environment. While plant roots have significant structural and functional plasticity to changing environmental conditions, their dynamics are noticeably absent from the land component of process‐based Earth system models used to simulate global biogeochemical cycling. Their dynamic representation in large‐scale models should improve model veracity. Here, we describe current root inclusion in models across scales, ranging from mechanistic processes of single roots to parameterized root processes operating at the landscape scale. With this foundation we discuss how existing and future root functional knowledge, new data compilation efforts, and novel modeling platforms can be leveraged to enhance root functionality in large‐scale terrestrial biosphere models by improving parameterization within models, and introducing new components such as dynamic root distribution and root functional traits linked to resource extraction.

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Section: Recommendations For Leveraging Root Knowledge Into Modelsmentioning

confidence: 97%

Section: Recommendations For Leveraging Root Knowledge Into Modelsmentioning

confidence: 97%

Root structural and functional dynamics in terrestrial biosphere models – evaluation and recommendations

et al. 2014

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“…However, we have implemented an automatic ecosystem function testing system, which is able to extract a specific subroutine/module from CLM and to generate a standalone functional test module for the given subroutine/module. It is a significant improvement from our previous effort on function test platform [7]. Using this testing system, we have successfully tested most ecosystem modules, and it can be extended to all submodels in CLM or even CESM.…”

Section: Software Dependence and Scientific Fucntioanl Testing Smentioning

confidence: 82%

A Feasibility Study on Porting the Community Land Model onto Accelerators Using Openacc

Wang¹,

Wu²,

Winkler³

et al. 2014

ijacsa

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Abstract-As environmental models (such as AcceleratedClimate Model for Energy (ACME), Parallel Reactive Flow and Transport Model (PFLOTRAN), Arctic Terrestrial Simulator (ATS), etc.) became more and more complicated, we are facing enormous challenges regarding to porting those applications onto hybrid computing architecture. OpenACC emerges as a very promising technology, therefore, we have conducted a feasibility analysis on porting the Community Land Model (CLM), a terrestrial ecosystem model within the Community Earth System Models (CESM)). Specifically, we used automatic function testing platform to extract a small computing kernel out of CLM, then we apply this kernel into the actually CLM dataflow procedure, and investigate the strategy of data parallelization and the benefit of data movement provided by current implementation of OpenACC. Even it is a non-intensive kernel, on a single 16-core computing node, the performance (based on the actual computation time using one GPU) of OpenACC implementation is 2.3 time faster than that of OpenMP implementation using single OpenMP thread, but it is 2.8 times slower than the performance of OpenMP implementation using 16 threads. On multiple nodes, MPI_OpenACC implementation demonstrated very good scalability on up to 128 GPUs on 128 computing nodes. This study also provides useful information for us to look into the potential benefits of "deep copy" capability and "routine" feature of OpenACC standards. We believe that our experience on the environmental model, CLM, can be beneficial to many other scientific research programs who are interested to porting their large scale scientific code using OpenACC onto high-end computers, empowered by hybrid computing architecture.

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“…Authors adopted a similar workflow procedure used in a scientific function test platform (Wang et. al., 2015(Wang et. al., , 2014bYao et.…”

Section: A Software Analysis and Automated Instrumentationmentioning

confidence: 99%

Virtual Observation System for Earth System Model: An Application to ACME Land Model Simulations

Wang¹,

Yuan²,

Hernández³

et al. 2017

ijacsa

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Abstract-Investigating and evaluating physical-chemicalbiological processes within an Earth system model (EMS) can be very challenging due to the complexity of both model design and software implementation. A virtual observation system (VOS) is presented to enable interactive observation of these processes during system simulation.Based on advance computing technologies, such as compiler-based software analysis, automatic code instrumentation, and high-performance data transport, the VOS provides run-time observation capability, in-situ data analytics for Earth system model simulation, model behavior adjustment opportunities through simulation steering. A VOS for a terrestrial land model simulation within the Accelerated Climate Modeling for Energy model is also presented to demonstrate the implementation details and system innovations.

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A functional test platform for the Community Land Model

Cited by 28 publications

References 10 publications

Root structural and functional dynamics in terrestrial biosphere models – evaluation and recommendations

Root structural and functional dynamics in terrestrial biosphere models – evaluation and recommendations

A Feasibility Study on Porting the Community Land Model onto Accelerators Using Openacc

Virtual Observation System for Earth System Model: An Application to ACME Land Model Simulations

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