AUTHOR=Stuivenvolt-Allen Jacob , Wang Simon S.-Y. 

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

JOURNAL=Frontiers in Big Data

VOLUME=Volume 2 - 2019

YEAR=2019

URL=https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2019.00020

DOI=10.3389/fdata.2019.00020

ISSN=2624-909X

ABSTRACT=Anomalously cold winters with extreme storms intensify natural gas (NG) markets due to heightened residential and commercial demands, which include heating, electricity generation, disrupted distribution, and consumer pricing. 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 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 with relatively long persistence is useful for estimating NG storage; this could facilitate economic adaptation toward extreme winter weather conditions. Understanding the implicated impact of climate variability on NG is a crucial step towards economic adaptation to climate change.