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Data Mining Climate Variability as an Indicator of U.S. Natural Gas

Anomalously cold winters with extreme storms strain natural gas (NG) markets due to heightened demand for heating and electricity generation. While extended weather forecasting has become an indicator for NG management, seasonal (2–3 month) prediction could mitigate the impact of extreme winters on...

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Detalles Bibliográficos
Autores principales: Stuivenvolt-Allen, Jacob, Wang, Simon S.-Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931971/
https://www.ncbi.nlm.nih.gov/pubmed/33693343
http://dx.doi.org/10.3389/fdata.2019.00020
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author Stuivenvolt-Allen, Jacob
Wang, Simon S.-Y.
author_facet Stuivenvolt-Allen, Jacob
Wang, Simon S.-Y.
author_sort Stuivenvolt-Allen, Jacob
collection PubMed
description Anomalously cold winters with extreme storms strain natural gas (NG) markets due to heightened demand for heating and electricity generation. While extended weather forecasting has become an indicator for NG management, seasonal (2–3 month) prediction could mitigate the impact of extreme winters on the NG market for consumers and industry. Interrelated climate patterns of ocean and atmospheric circulation anomalies exhibit characteristics useful for developing effective seasonal outlooks of NG storage and consumption due to their influence on the persistence and intensity of extreme winter weather in North America. This study explores the connection between the Pacific-North American climate systems and the NG market in the U.S., connecting macro-scale oceanic and atmospheric processes to regional NG storage and consumption. Western Pacific sea surface temperatures and atmospheric pressure patterns describe significant variation in seasonal NG storage and consumption. Prediction of these coupled climate processes is useful for estimating NG storage and consumption; this could facilitate economic adaptation toward extreme winter weather conditions. Understanding the implicated impact of climate variability on NG is a crucial step toward economic adaptation to climate change.
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spelling pubmed-79319712021-03-09 Data Mining Climate Variability as an Indicator of U.S. Natural Gas Stuivenvolt-Allen, Jacob Wang, Simon S.-Y. Front Big Data Big Data Anomalously cold winters with extreme storms strain natural gas (NG) markets due to heightened demand for heating and electricity generation. While extended weather forecasting has become an indicator for NG management, seasonal (2–3 month) prediction could mitigate the impact of extreme winters on the NG market for consumers and industry. Interrelated climate patterns of ocean and atmospheric circulation anomalies exhibit characteristics useful for developing effective seasonal outlooks of NG storage and consumption due to their influence on the persistence and intensity of extreme winter weather in North America. This study explores the connection between the Pacific-North American climate systems and the NG market in the U.S., connecting macro-scale oceanic and atmospheric processes to regional NG storage and consumption. Western Pacific sea surface temperatures and atmospheric pressure patterns describe significant variation in seasonal NG storage and consumption. Prediction of these coupled climate processes is useful for estimating NG storage and consumption; this could facilitate economic adaptation toward extreme winter weather conditions. Understanding the implicated impact of climate variability on NG is a crucial step toward economic adaptation to climate change. Frontiers Media S.A. 2019-06-20 /pmc/articles/PMC7931971/ /pubmed/33693343 http://dx.doi.org/10.3389/fdata.2019.00020 Text en Copyright © 2019 Stuivenvolt-Allen and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Stuivenvolt-Allen, Jacob
Wang, Simon S.-Y.
Data Mining Climate Variability as an Indicator of U.S. Natural Gas
title Data Mining Climate Variability as an Indicator of U.S. Natural Gas
title_full Data Mining Climate Variability as an Indicator of U.S. Natural Gas
title_fullStr Data Mining Climate Variability as an Indicator of U.S. Natural Gas
title_full_unstemmed Data Mining Climate Variability as an Indicator of U.S. Natural Gas
title_short Data Mining Climate Variability as an Indicator of U.S. Natural Gas
title_sort data mining climate variability as an indicator of u.s. natural gas
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931971/
https://www.ncbi.nlm.nih.gov/pubmed/33693343
http://dx.doi.org/10.3389/fdata.2019.00020
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