Workflow-Based Platform Design and Implementation for Numerical Weather Prediction Models and Meteorological Data Service

ISSN Print: 2160-0414
ISSN Online: 2160-0422
www.scirp.net/journal/acs
E-mail: [email protected]

Citations

"Workflow-Based Platform Design and Implementation for Numerical Weather Prediction Models and Meteorological Data Service"
written by Xiaoxia Chen, Min Wei, Jing Sun,
published by Atmospheric and Climate Sciences, Vol.7 No.3, 2017

has been cited by the following article(s):

[1]	A novel wind power prediction model using graph attention networks and bi-directional deep learning long and short term memory
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[2]	Dynamic Resource Provisioning with Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud
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[3]	Trust-Aware Resource Provisioning for Meteorological Workflow in Cloud
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[4]	Resource management for meteorological service in cloud‐edge computing: A survey
	Transactions on Emerging Telecommunications Technologies, 2019

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[1]	Dynamic Resource Provisioning With Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud IEEE Transactions on Industrial Informatics, 2020 DOI:10.1109/TII.2019.2959258

[2]	Design and Application of Integrated Monitoring Model for Provincial Meteorological Observation Data Transmission Journal of Geoscience and Environment Protection, 2019 DOI:10.4236/gep.2019.75010