PEcAn.utils - PEcAn Functions Used for Ecological Forecasts and Reanalysis
The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool that is designed to simplify the management of model parameterization, execution, and analysis. The goal of PEcAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.
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pecanbayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationplants
11.25 score 241 stars 36 dependents 273 scriptsPEcAn.remote - PEcAn Model Execution Utilities
This package contains utilities for communicating with and executing code on local and remote hosts. In particular, it has PEcAn-specific utilities for starting ecosystem model runs.
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pecandistributed-computingbayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationplants
9.88 score 241 stars 32 dependents 13 scriptsPEcAn.logger - Logger Functions for 'PEcAn'
Convenience functions for logging outputs from 'PEcAn', the Predictive Ecosystem Analyzer (LeBauer et al. 2017) <doi:10.1890/12-0137.1>. Enables the user to set what level of messages are printed, as well as whether these messages are written to the console, a file, or both. It also allows control over whether severe errors should stop execution of the 'PEcAn' workflow; this allows strictness when debugging and lenience when running large batches of simulations that should not be terminated by errors in individual models. It is loosely based on the 'log4j' package.
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pecanloggererror-handlinglogging-levelsmessage-filteringbayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationplants
9.87 score 241 stars 41 dependents 10 scriptsPEcAn.SIBCASA - PEcAn Package for Integration of the SiBCASA Model
This module provides functions to link (SiBCASA) to PEcAn. It is a work in progress and is not yet fully functional.
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sibcasaecosystem-modelingbayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplants
7.78 score 241 stars
