AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century

Our paradigm-shifting framework will apply machine learning and perform physical analysis of contemporary volcanoes to develop sound forecasts of extreme eruptions in the 21stcentury and their abrupt drying and cooling impacts on the warming climate. We will also bridge climate data driven regressio...

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Bibliographic Details
Main Authors: Dubey, Manvendra Krishna, Benedict, James Joseph, O'Malley, Daniel, Nadiga, Balasubramanya T., Johnson, Paul Allan, Viswanathan, Hari S., Chylek, Petr, Carns, Simon
Language:unknown
Published: 2021
Subjects:
54 ENVIRONMENTAL SCIENCES
Arctic
Online Access:http://www.osti.gov/servlets/purl/1765859
https://www.osti.gov/biblio/1765859
https://doi.org/10.2172/1765859
id ftosti:oai:osti.gov:1765859
record_format openpolar
spelling ftosti:oai:osti.gov:1765859 2023-07-30T04:01:24+02:00 AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century Dubey, Manvendra Krishna Benedict, James Joseph O'Malley, Daniel Nadiga, Balasubramanya T. Johnson, Paul Allan Viswanathan, Hari S. Chylek, Petr Carns, Simon 2021-03-11 application/pdf http://www.osti.gov/servlets/purl/1765859 https://www.osti.gov/biblio/1765859 https://doi.org/10.2172/1765859 unknown http://www.osti.gov/servlets/purl/1765859 https://www.osti.gov/biblio/1765859 https://doi.org/10.2172/1765859 doi:10.2172/1765859 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.2172/1765859 2023-07-11T10:01:24Z Our paradigm-shifting framework will apply machine learning and perform physical analysis of contemporary volcanoes to develop sound forecasts of extreme eruptions in the 21stcentury and their abrupt drying and cooling impacts on the warming climate. We will also bridge climate data driven regression models and earth system model output to trace teleconnections that exacerbate regional impacts such as Arctic amplification and western US droughts. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Dubey, Manvendra Krishna
Benedict, James Joseph
O'Malley, Daniel
Nadiga, Balasubramanya T.
Johnson, Paul Allan
Viswanathan, Hari S.
Chylek, Petr
Carns, Simon
AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
topic_facet 54 ENVIRONMENTAL SCIENCES
description Our paradigm-shifting framework will apply machine learning and perform physical analysis of contemporary volcanoes to develop sound forecasts of extreme eruptions in the 21stcentury and their abrupt drying and cooling impacts on the warming climate. We will also bridge climate data driven regression models and earth system model output to trace teleconnections that exacerbate regional impacts such as Arctic amplification and western US droughts.
author Dubey, Manvendra Krishna
Benedict, James Joseph
O'Malley, Daniel
Nadiga, Balasubramanya T.
Johnson, Paul Allan
Viswanathan, Hari S.
Chylek, Petr
Carns, Simon
author_facet Dubey, Manvendra Krishna
Benedict, James Joseph
O'Malley, Daniel
Nadiga, Balasubramanya T.
Johnson, Paul Allan
Viswanathan, Hari S.
Chylek, Petr
Carns, Simon
author_sort Dubey, Manvendra Krishna
title AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
title_short AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
title_full AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
title_fullStr AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
title_full_unstemmed AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
title_sort ai for extreme volcanic climate forcing and feedback forecasting in the 21st century
publishDate 2021
url http://www.osti.gov/servlets/purl/1765859
https://www.osti.gov/biblio/1765859
https://doi.org/10.2172/1765859
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://www.osti.gov/servlets/purl/1765859
https://www.osti.gov/biblio/1765859
https://doi.org/10.2172/1765859
doi:10.2172/1765859
op_doi https://doi.org/10.2172/1765859
_version_ 1772812138909270016

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