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

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

Full description

Bibliographic Details
Main Authors: Dubey, Manvendra, Benedict, James, O'Malley, Daniel, Nadiga, Balu, Johnson, Paul., Viswanathan, Hari, Chylek, Peter, Carns, Simon
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1769659
https://www.osti.gov/biblio/1769659
https://doi.org/10.2172/1769659
id ftosti:oai:osti.gov:1769659
record_format openpolar
spelling ftosti:oai:osti.gov:1769659 2023-07-30T04:01:27+02:00 AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century Dubey, Manvendra Benedict, James O'Malley, Daniel Nadiga, Balu Johnson, Paul. Viswanathan, Hari Chylek, Peter Carns, Simon 2022-01-25 application/pdf http://www.osti.gov/servlets/purl/1769659 https://www.osti.gov/biblio/1769659 https://doi.org/10.2172/1769659 unknown http://www.osti.gov/servlets/purl/1769659 https://www.osti.gov/biblio/1769659 https://doi.org/10.2172/1769659 doi:10.2172/1769659 58 GEOSCIENCES 54 ENVIRONMENTAL SCIENCES 97 MATHEMATICS AND COMPUTING 2022 ftosti https://doi.org/10.2172/1769659 2023-07-11T10:01:47Z Focal Areas: Our paradigm-shifting framework will apply machine learning and perform physical analysis of contemporary volcanoes to develop sound forecasts of extreme eruptions in the 21st century 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 58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES
97 MATHEMATICS AND COMPUTING
spellingShingle 58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES
97 MATHEMATICS AND COMPUTING
Dubey, Manvendra
Benedict, James
O'Malley, Daniel
Nadiga, Balu
Johnson, Paul.
Viswanathan, Hari
Chylek, Peter
Carns, Simon
AI for Extreme Volcanic Climate Forcing and Feedback Forecasting in the 21st century
topic_facet 58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES
97 MATHEMATICS AND COMPUTING
description Focal Areas: Our paradigm-shifting framework will apply machine learning and perform physical analysis of contemporary volcanoes to develop sound forecasts of extreme eruptions in the 21st century 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
Benedict, James
O'Malley, Daniel
Nadiga, Balu
Johnson, Paul.
Viswanathan, Hari
Chylek, Peter
Carns, Simon
author_facet Dubey, Manvendra
Benedict, James
O'Malley, Daniel
Nadiga, Balu
Johnson, Paul.
Viswanathan, Hari
Chylek, Peter
Carns, Simon
author_sort Dubey, Manvendra
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 2022
url http://www.osti.gov/servlets/purl/1769659
https://www.osti.gov/biblio/1769659
https://doi.org/10.2172/1769659
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://www.osti.gov/servlets/purl/1769659
https://www.osti.gov/biblio/1769659
https://doi.org/10.2172/1769659
doi:10.2172/1769659
op_doi https://doi.org/10.2172/1769659
_version_ 1772812187086094336