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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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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. |
format | Online Article Text |
id | pubmed-7931971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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