본문

서브메뉴

Assessing the Role of Parameterized Turbulence on Tropical Cyclones and the Mean Climate in the Community Earth System Model
Assessing the Role of Parameterized Turbulence on Tropical Cyclones and the Mean Climate i...
Assessing the Role of Parameterized Turbulence on Tropical Cyclones and the Mean Climate in the Community Earth System Model

상세정보

자료유형  
 학위논문 서양
최종처리일시  
20260202104731
ISBN  
9798290648002
DDC  
536.7
저자명  
Nardi, Kyle M.
서명/저자  
Assessing the Role of Parameterized Turbulence on Tropical Cyclones and the Mean Climate in the Community Earth System Model
발행사항  
[Sl] : The Pennsylvania State University, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
215 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-04, Section: B.
주기사항  
Advisor: Zarzycki, Colin.
학위논문주기  
Thesis (Ph.D.)--The Pennsylvania State University, 2025.
초록/해제  
요약Earth System Models (ESMs) simulate the interaction of various components of the global Earth system. This includes, but is not limited to, atmospheric, oceanic, land, and sea ice processes. With enhanced computational capacity, we can now run ESMs at finer horizontal and vertical resolutions. However, despite these advances, many ESMs are incapable of resolving certain small-scale processes like boundary layer (PBL) turbulence. Therefore, these processes need to be estimated, or parameterized, based on theoretical or observed relationships with resolved fields. Prior studies have demonstrated that the choice of PBL parameterization is a key source of uncertainty in models of various spatial scales. In this study, we seek to understand how the parameterization of PBL turbulence, specifically the depiction of momentum fluxes, affects ESM model output.To answer this question, we use the Community Atmosphere Model version 6 (CAM6), the atmospheric component of the Community Earth System Model version 2 (CESM2). Turbulence in CAM6 is parameterized by the Cloud Layers Unified by Binormals (CLUBB) scheme. We adopt an experimental version of CLUBB (CLUBBX) with two key modifications: 1) a prognostic formulation of vertical momentum flux and 2) a regime-specific formulation for the dissipation of turbulent eddies. We perform a computationally-efficient sensitivity analysis (the Morris One-at-a-Time method) to identify a group of tunable CLUBBX parameters that appreciably impact CESM2-CAM6 output.In Chapter 3, we use MOAT to identify input parameters that affect the PBL structure of tropical cyclones (TCs) in an idealized 0.25° configuration of CAM6-CLUBBX. We highlight a handful of input parameters that broadly affect TC PBL structure, including metrics such as height of maximum tangential wind and latent heat flux fraction. In Chapter 4, we extend the MOAT analysis to 3-day, initialized global CAM6-CLUBBX simulations at 1° horizontal resolution. We find that the parameters appreciably impacting idealized TCs are also influential for key characteristics of the global mean climate, including cloud-radiative effects and surface wind stress. These influential parameters are physically linked to the modulation of vertical turbulent mixing in the PBL. Using parameter sensitivities from the 3-day simulations, we make targeted parameter perturbations to a longer (20-year) simulation. We find that for certain dynamical outputs, long simulations allow time for nonlinear feedbacks within the climate system to affect parameter sensitivities. In Chapter 5, we explore these nonlinear feedbacks and analyze the response of the general circulation to countergradient momentum fluxes in CLUBB. We show that reducing eddy diffusivity in the PBL contracts the Hadley cell and affects related precipitation patterns over the tropics.
일반주제명  
Heat
일반주제명  
Precipitation
일반주제명  
Humidity
일반주제명  
Wind shear
일반주제명  
Climate change
일반주제명  
Meteorology
일반주제명  
Atmospheric sciences
기타저자  
The Pennsylvania State University.
기본자료저록  
Dissertations Abstracts International. 87-04B.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260126s2025        us                              c    eng  d
■001000017358646
■00520260202104731
■006m          o    d                
■007cr#unu||||||||
■020    ▼a9798290648002
■035    ▼a(MiAaPQ)AAI32148888
■035    ▼a(MiAaPQ)PennState20798kmn182
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a536.7
■1001  ▼aNardi,  Kyle  M.
■24510▼aAssessing  the  Role  of  Parameterized  Turbulence  on  Tropical  Cyclones  and  the  Mean  Climate  in  the  Community  Earth  System  Model
■260    ▼a[Sl]▼bThe  Pennsylvania  State  University▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a215  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-04,  Section:  B.
■500    ▼aAdvisor:  Zarzycki,  Colin.
■5021  ▼aThesis  (Ph.D.)--The  Pennsylvania  State  University,  2025.
■520    ▼aEarth  System  Models  (ESMs)  simulate  the  interaction  of  various  components  of  the  global  Earth  system.  This  includes,  but  is  not  limited  to,  atmospheric,  oceanic,  land,  and  sea  ice  processes.  With  enhanced  computational  capacity,  we  can  now  run  ESMs  at  finer  horizontal  and  vertical  resolutions.  However,  despite  these  advances,  many  ESMs  are  incapable  of  resolving  certain  small-scale  processes  like  boundary  layer  (PBL)  turbulence.  Therefore,  these  processes  need  to  be  estimated,  or  parameterized,  based  on  theoretical  or  observed  relationships  with  resolved  fields.  Prior  studies  have  demonstrated  that  the  choice  of  PBL  parameterization  is  a  key  source  of  uncertainty  in  models  of  various  spatial  scales.  In  this  study,  we  seek  to  understand  how  the  parameterization  of  PBL  turbulence,  specifically  the  depiction  of  momentum  fluxes,  affects  ESM  model  output.To  answer  this  question,  we  use  the  Community  Atmosphere  Model  version  6  (CAM6),  the  atmospheric  component  of  the  Community  Earth  System  Model  version  2  (CESM2).  Turbulence  in  CAM6  is  parameterized  by  the  Cloud  Layers  Unified  by  Binormals  (CLUBB)  scheme.  We  adopt  an  experimental  version  of  CLUBB  (CLUBBX)  with  two  key  modifications:  1)  a  prognostic  formulation  of  vertical  momentum  flux  and  2)  a  regime-specific  formulation  for  the  dissipation  of  turbulent  eddies.  We  perform  a  computationally-efficient  sensitivity  analysis  (the  Morris  One-at-a-Time  method)  to  identify  a  group  of  tunable  CLUBBX  parameters  that  appreciably  impact  CESM2-CAM6  output.In  Chapter  3,  we  use  MOAT  to  identify  input  parameters  that  affect  the  PBL  structure  of  tropical  cyclones  (TCs)  in  an  idealized  0.25°  configuration  of  CAM6-CLUBBX.  We  highlight  a  handful  of  input  parameters  that  broadly  affect  TC  PBL  structure,  including  metrics  such  as  height  of  maximum  tangential  wind  and  latent  heat  flux  fraction.  In  Chapter  4,  we  extend  the  MOAT  analysis  to  3-day,  initialized  global  CAM6-CLUBBX  simulations  at  1°  horizontal  resolution.  We  find  that  the  parameters  appreciably  impacting  idealized  TCs  are  also  influential  for  key  characteristics  of  the  global  mean  climate,  including  cloud-radiative  effects  and  surface  wind  stress.  These  influential  parameters  are  physically  linked  to  the  modulation  of  vertical  turbulent  mixing  in  the  PBL.  Using  parameter  sensitivities  from  the  3-day  simulations,  we  make  targeted  parameter  perturbations  to  a  longer  (20-year)  simulation.  We  find  that  for  certain  dynamical  outputs,  long  simulations  allow  time  for  nonlinear  feedbacks  within  the  climate  system  to  affect  parameter  sensitivities.  In  Chapter  5,  we  explore  these  nonlinear  feedbacks  and  analyze  the  response  of  the  general  circulation  to  countergradient  momentum  fluxes  in  CLUBB.  We  show  that  reducing  eddy  diffusivity  in  the  PBL  contracts  the  Hadley  cell  and  affects  related  precipitation  patterns  over  the  tropics.
■590    ▼aSchool  code:  0176.
■650  4▼aHeat
■650  4▼aPrecipitation
■650  4▼aHumidity
■650  4▼aWind  shear
■650  4▼aClimate  change
■650  4▼aMeteorology
■650  4▼aAtmospheric  sciences
■690    ▼a0404
■690    ▼a0557
■690    ▼a0725
■71020▼aThe  Pennsylvania  State  University.
■7730  ▼tDissertations  Abstracts  International▼g87-04B.
■790    ▼a0176
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358646▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

미리보기

내보내기

chatGPT토론

Ai 추천 관련 도서


    신착도서 더보기
    최근 3년간 통계입니다.

    소장정보

    • 예약
    • 소재불명신고
    • 나의폴더
    • 우선정리요청
    • 비도서대출신청
    • 야간 도서대출신청
    소장자료
    등록번호 청구기호 소장처 대출가능여부 대출정보
    TF18446 전자도서 대출가능 마이폴더 부재도서신고 비도서대출신청 야간 도서대출신청

    * 대출중인 자료에 한하여 예약이 가능합니다. 예약을 원하시면 예약버튼을 클릭하십시오.

    해당 도서를 다른 이용자가 함께 대출한 도서

    관련 인기도서

    로그인 후 이용 가능합니다.