東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Shedding Light on the Sun-climate Connection : = Evidence of a Deeper Maunder Minimum From Bayesian Modeling of Satellite and Proxy Observations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Shedding Light on the Sun-climate Connection :/
Reminder of title:	Evidence of a Deeper Maunder Minimum From Bayesian Modeling of Satellite and Proxy Observations.
Author:	Amdur, Samuel T., IV.
Description:	1 online resource (202 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
Subject:	Paleoclimate science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492253click for full text (PQDT)
ISBN:	9798379614218

Shedding Light on the Sun-climate Connection : = Evidence of a Deeper Maunder Minimum From Bayesian Modeling of Satellite and Proxy Observations.
Amdur, Samuel T., IV.

Shedding Light on the Sun-climate Connection :Evidence of a Deeper Maunder Minimum From Bayesian Modeling of Satellite and Proxy Observations. - 1 online resource (202 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--Harvard University, 2023.

Includes bibliographical references

This dissertation investigates solar variability and its role in climate changes, addressing outstanding questions through four central research chapters. The first chapter re-examines global temperature responses to solar cycles, specifically whether disagreement exists between model predictions and observations of temperature response. The second chapter introduces a Bayesian hierarchical model for total solar irradiance (BTSI) to correct satellite biases and detect significant trends in total solar irradiance (TSI) over the past 40 years. The third chapter applies this model to the full satellite record, revealing a statistically significant decrease in TSI and implications for long-term TSI variability.The fourth chapter explores the drivers of TSI variations on long timescales, focusing on the roles of surface magnetic activity and the open magnetic field. We find that sunspots and facular indices alone are insufficient for capturing TSI variations, and propose a nonlinear empirical model incorporating open solar flux, sunspots, and facular indices. This model estimates greater solar variability than currently-used TSI reconstructions. Lastly, the dissertation assesses the ability of the BTSI TSI reconstruction to explain pre-industrial climate records with external radiative forcings, including solar forcing. Our results, which indicate substantial changes in solar variability since the Maunder Minimum, are consistent with studies from the early 2000s that observed agreement between radiative forcing and temperature changes over the past millennium when using solar forcing with large Maunder Minimum TSI variations. In conclusion, we highlight the need for further research to improve understanding of pre-industrial climate variability and thus better constrain climate sensitivity through paleoclimate observations.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379614218Subjects--Topical Terms:

3173835
Paleoclimate science.
Subjects--Index Terms:

Climate sensitivityIndex Terms--Genre/Form:

542853
Electronic books.

Shedding Light on the Sun-climate Connection : = Evidence of a Deeper Maunder Minimum From Bayesian Modeling of Satellite and Proxy Observations.
LDR:03321nmm a2200409K 4500 001 2363060
005 20231109104748.5
006 m o d
007 cr mn ---uuuuu
008 241011s2023 xx obm 000 0 eng d
020 $a 9798379614218
035 $a (MiAaPQ)AAI30492253
035 $a AAI30492253
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Amdur, Samuel T., IV. $3 3703806
245 1 0 $a Shedding Light on the Sun-climate Connection : $b Evidence of a Deeper Maunder Minimum From Bayesian Modeling of Satellite and Proxy Observations.
264 0 $c 2023
300 $a 1 online resource (202 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
500 $a Advisor: Huybers, Peter J.
502 $a Thesis (Ph.D.)--Harvard University, 2023.
504 $a Includes bibliographical references
520 $a This dissertation investigates solar variability and its role in climate changes, addressing outstanding questions through four central research chapters. The first chapter re-examines global temperature responses to solar cycles, specifically whether disagreement exists between model predictions and observations of temperature response. The second chapter introduces a Bayesian hierarchical model for total solar irradiance (BTSI) to correct satellite biases and detect significant trends in total solar irradiance (TSI) over the past 40 years. The third chapter applies this model to the full satellite record, revealing a statistically significant decrease in TSI and implications for long-term TSI variability.The fourth chapter explores the drivers of TSI variations on long timescales, focusing on the roles of surface magnetic activity and the open magnetic field. We find that sunspots and facular indices alone are insufficient for capturing TSI variations, and propose a nonlinear empirical model incorporating open solar flux, sunspots, and facular indices. This model estimates greater solar variability than currently-used TSI reconstructions. Lastly, the dissertation assesses the ability of the BTSI TSI reconstruction to explain pre-industrial climate records with external radiative forcings, including solar forcing. Our results, which indicate substantial changes in solar variability since the Maunder Minimum, are consistent with studies from the early 2000s that observed agreement between radiative forcing and temperature changes over the past millennium when using solar forcing with large Maunder Minimum TSI variations. In conclusion, we highlight the need for further research to improve understanding of pre-industrial climate variability and thus better constrain climate sensitivity through paleoclimate observations.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Paleoclimate science. $3 3173835
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Statistics. $3 517247
650 4 $a Climate change. $2 bicssc $3 2079509
653 $a Climate sensitivity
653 $a Little Ice Age
653 $a Maunder Minimum
653 $a Total solar irradiance
653 $a Solar variability
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0653
690 $a 0725
690 $a 0463
690 $a 0404
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Harvard University. $b Earth and Planetary Sciences. $3 3168947
773 0 $t Dissertations Abstracts International $g 84-12B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492253 $z click for full text (PQDT)