Development of a hydrologic community modeling system using a workflow engine

2021 ◽  
Author(s):  
Bo Lu
Keyword(s):  
Workflow Engine ◽  
Community Modeling

scholarly journals Building Data Civilizer Pipelines with an Advanced Workflow Engine

2018 ◽  
Author(s):  
Essam Mansour ◽  
Dong Deng ◽  
Raul Castro Fernandez ◽  
Abdulhakim A. Qahtan ◽  
Wenbo Tao ◽  
...  
Keyword(s):  
Workflow Engine

The Design of Enterprise Cooperative Platform Based on Workflow

2014 ◽  
Vol 568-570 ◽  
pp. 1616-1620
Author(s):  
Min Qin ◽  
Shi Quan Qiao
Keyword(s):  
Business Process ◽  
Management System ◽  
Business Processes ◽  
Computer Network ◽  
Workflow Management ◽  
Workflow Management System ◽  
Workflow Engine ◽  
Operation Efficiency ◽  
Business Operation ◽  
Whole Process

At present, the enterprise has many business processes. It need transfer many forms involving personnel, procurement and other aspects. The workflow management system uses computer network to realize the automation of the business process. This paper analyses the workflow management system, describes the operational principle of the workflow engine and presents a cooperative platform design based on workflow. It can effectively track the whole process and realize standardized management. Otherwise, it can enhance the enterprise business operation efficiency.

scholarly journals Workflow Engine: A Tool for Improving Reproducibility of EEG Processing Pipelines in CBRAIN

2021 ◽  
Vol 168 ◽  
pp. S199
Author(s):  
Héctor Castellanos-Loaces ◽  
Tania Pérez-Ramírez ◽  
Eduardo Martínez-Montes ◽  
Lídice Galán-García
Keyword(s):  
Workflow Engine

Wikipedia Knowledge Community Modeling

2018 ◽  
pp. 3402-3411
Author(s):  
Michal Jankowski-Lorek ◽  
Lukasz Ostrowski ◽  
Piotr Turek ◽  
Adam Wierzbicki
Keyword(s):  
Knowledge Community ◽  
Community Modeling

scholarly journals Technical Note: Implementation of prescribed (OFFLEM), calculated (ONLEM), and pseudo-emissions (TNUDGE) of chemical species in the Modular Earth Submodel System (MESSy)

2006 ◽  
Vol 6 (3) ◽  
pp. 5485-5504
Author(s):  
A. Kerkweg ◽  
R. Sander ◽  
H. Tost ◽  
P. Jöckel
Keyword(s):  
Chemical Species ◽  
Atmospheric Modeling ◽  
Technical Note ◽  
Mixing Ratio ◽  
Emission Data ◽  
Sources And Sinks ◽  
Emission Fluxes ◽  
Specific Emissions ◽  
The Creation ◽  
Community Modeling

Abstract. We present the submodels OFFLEM, ONLEM, and TNUDGE for the Modular Earth Submodel System (MESSy). Prescribed emissions from input files are handled by OFFLEM. ONLEM deals with online-calculated emissions, i.e., emissions that are calculated during the simulation. The submodel TNUDGE uses the ''tracer nudging'' technique for pseudo-sources and -sinks. For species with highly uncertain emission fluxes and/or with sufficiently long lifetimes, e.g., CH4, it is common to create such pseudo-fluxes by prescribing the observed mixing ratio of the species at a given boundary (e.g., the mixing ratio of methane at the surface, or the ozone mixing ratio at the tropopause). All three submodels substantially simplify the inclusion of emissions into a model. Specific emissions can easily be switched on or off. New prescribed emissions can be included without rewriting any code. New online emissions only require one additional subroutine containing the new parameterization. A major advantage is that input fields at arbitrary resolution can be used. The problem of incompatible grids between emission data and model is overcome by utilizing the MESSy data import interface. To further simplify the creation of new offline emission data, the preprocessing program EDGAR2NC is provided. EDGAR2NC transforms files from the EDGAR format into the netCDF format which is required by OFFLEM. The presented routines are a part of the community modeling project MESSy and can be made available for use to the atmospheric modeling community.

SEISMIC HAZARD ANALYSIS USING DISTRIBUTED COMPUTING IN THE SCEC COMMUNITY MODELING ENVIRONMENT

2005 ◽  
Vol 76 (2) ◽  
pp. 177-181
Author(s):  
P. Maechling ◽  
V. Gupta ◽  
N. Gupta ◽  
E. H. Field ◽  
D. Okaya ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Seismic Hazard Analysis ◽  
Modeling Environment ◽  
Community Modeling
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