Growth Rate of Deep Convective System Cloud Shields: Satellite Observations and Km-Scale Radiative Convective Equilibrium Simulations

Deep convection gives rise to large upper level clouds that strongly interact with radiation and are important to the climate energy budget. From an object-oriented perspective, these individual deep cloud systems are characterized by a well depicted cloud shield life cycle, starting with small clou...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Roca, Remy, Fiolleau, Thomas, Elsaesser, Gregory
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue AS1.17
container_start_page
container_title
container_volume EGU24-7675
creator Roca, Remy
Fiolleau, Thomas
Elsaesser, Gregory
description Deep convection gives rise to large upper level clouds that strongly interact with radiation and are important to the climate energy budget. From an object-oriented perspective, these individual deep cloud systems are characterized by a well depicted cloud shield life cycle, starting with small cloud extents that grow at varying rates before decaying and vanishing. A simple formulation of the growth rate of the cloud shield has been proposed that links together the growth rate on the convective part of the cloud, the mass flux of both the convective and stratiform parts of the cluster and a simple removal sink term (Elsaesser et al., 2022). In this presentation we first show using a suite of satellite observations (infrared from geostationary satellites, GPM radar, etc.) that the functional form of the proposed equation is well suited to quantify the shield growth rate. We then focus on RCE simulations, with deep cloud system objects post processed, to explore the relative role of each term of the growth rate budget. Three different models are used in the same RCEMIP-like configurations. The results show that the budget equation works very well for each model, although the time constants require model-dependent adjustments. We will further show in Vienna the commonalities and the specificities of each model.
doi_str_mv 10.5194/egusphere-egu24-7675
format Conference Proceeding
fullrecord <record><control><sourceid>nasa_CYI</sourceid><recordid>TN_cdi_nasa_ntrs_20240003104</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20240003104</sourcerecordid><originalsourceid>FETCH-nasa_ntrs_202400031043</originalsourceid><addsrcrecordid>eNqFjM0OwUAUhWdjIXgDi_sCZVpF2NZfYiEx9s3QS28ynWF-Kh7Ae2uwsLM6Jznn-xjrx3wwjmfpEC_BXUu0GDUtSaPpZDpus-famrsvYS89gjnDAvEKmdE1njzVCOLhPFaQKRMKECWhKtwcRPNWihpkd3Roa-nJaAdSF7CtInGSChtjQfLt-NEtb4EUHS2FCgRVQX3ILmudpXLY-2aH9VfLQ7aJtHQy1966POFJyjkfxTwd_ZlfvmdO0A</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Growth Rate of Deep Convective System Cloud Shields: Satellite Observations and Km-Scale Radiative Convective Equilibrium Simulations</title><source>NASA Technical Reports Server</source><creator>Roca, Remy ; Fiolleau, Thomas ; Elsaesser, Gregory</creator><creatorcontrib>Roca, Remy ; Fiolleau, Thomas ; Elsaesser, Gregory</creatorcontrib><description>Deep convection gives rise to large upper level clouds that strongly interact with radiation and are important to the climate energy budget. From an object-oriented perspective, these individual deep cloud systems are characterized by a well depicted cloud shield life cycle, starting with small cloud extents that grow at varying rates before decaying and vanishing. A simple formulation of the growth rate of the cloud shield has been proposed that links together the growth rate on the convective part of the cloud, the mass flux of both the convective and stratiform parts of the cluster and a simple removal sink term (Elsaesser et al., 2022). In this presentation we first show using a suite of satellite observations (infrared from geostationary satellites, GPM radar, etc.) that the functional form of the proposed equation is well suited to quantify the shield growth rate. We then focus on RCE simulations, with deep cloud system objects post processed, to explore the relative role of each term of the growth rate budget. Three different models are used in the same RCEMIP-like configurations. The results show that the budget equation works very well for each model, although the time constants require model-dependent adjustments. We will further show in Vienna the commonalities and the specificities of each model.</description><identifier>DOI: 10.5194/egusphere-egu24-7675</identifier><language>eng</language><publisher>Goddard Space Flight Center: European Geosciences Union</publisher><subject>Meteorology and Climatology</subject><creationdate>2024</creationdate><rights>Copyright Determination: MAY_INCLUDE_COPYRIGHT_MATERIAL</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-5785-4451 ; 0000-0001-5902-1701</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,780,800</link.rule.ids><linktorsrc>$$Uhttps://ntrs.nasa.gov/citations/20240003104$$EView_record_in_NASA$$FView_record_in_$$GNASA$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Roca, Remy</creatorcontrib><creatorcontrib>Fiolleau, Thomas</creatorcontrib><creatorcontrib>Elsaesser, Gregory</creatorcontrib><title>Growth Rate of Deep Convective System Cloud Shields: Satellite Observations and Km-Scale Radiative Convective Equilibrium Simulations</title><description>Deep convection gives rise to large upper level clouds that strongly interact with radiation and are important to the climate energy budget. From an object-oriented perspective, these individual deep cloud systems are characterized by a well depicted cloud shield life cycle, starting with small cloud extents that grow at varying rates before decaying and vanishing. A simple formulation of the growth rate of the cloud shield has been proposed that links together the growth rate on the convective part of the cloud, the mass flux of both the convective and stratiform parts of the cluster and a simple removal sink term (Elsaesser et al., 2022). In this presentation we first show using a suite of satellite observations (infrared from geostationary satellites, GPM radar, etc.) that the functional form of the proposed equation is well suited to quantify the shield growth rate. We then focus on RCE simulations, with deep cloud system objects post processed, to explore the relative role of each term of the growth rate budget. Three different models are used in the same RCEMIP-like configurations. The results show that the budget equation works very well for each model, although the time constants require model-dependent adjustments. We will further show in Vienna the commonalities and the specificities of each model.</description><subject>Meteorology and Climatology</subject><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><sourceid>CYI</sourceid><recordid>eNqFjM0OwUAUhWdjIXgDi_sCZVpF2NZfYiEx9s3QS28ynWF-Kh7Ae2uwsLM6Jznn-xjrx3wwjmfpEC_BXUu0GDUtSaPpZDpus-famrsvYS89gjnDAvEKmdE1njzVCOLhPFaQKRMKECWhKtwcRPNWihpkd3Roa-nJaAdSF7CtInGSChtjQfLt-NEtb4EUHS2FCgRVQX3ILmudpXLY-2aH9VfLQ7aJtHQy1966POFJyjkfxTwd_ZlfvmdO0A</recordid><startdate>20240415</startdate><enddate>20240415</enddate><creator>Roca, Remy</creator><creator>Fiolleau, Thomas</creator><creator>Elsaesser, Gregory</creator><general>European Geosciences Union</general><scope>CYE</scope><scope>CYI</scope><orcidid>https://orcid.org/0000-0001-5785-4451</orcidid><orcidid>https://orcid.org/0000-0001-5902-1701</orcidid></search><sort><creationdate>20240415</creationdate><title>Growth Rate of Deep Convective System Cloud Shields: Satellite Observations and Km-Scale Radiative Convective Equilibrium Simulations</title><author>Roca, Remy ; Fiolleau, Thomas ; Elsaesser, Gregory</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-nasa_ntrs_202400031043</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Meteorology and Climatology</topic><toplevel>online_resources</toplevel><creatorcontrib>Roca, Remy</creatorcontrib><creatorcontrib>Fiolleau, Thomas</creatorcontrib><creatorcontrib>Elsaesser, Gregory</creatorcontrib><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Roca, Remy</au><au>Fiolleau, Thomas</au><au>Elsaesser, Gregory</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Growth Rate of Deep Convective System Cloud Shields: Satellite Observations and Km-Scale Radiative Convective Equilibrium Simulations</atitle><date>2024-04-15</date><risdate>2024</risdate><volume>EGU24-7675</volume><issue>AS1.17</issue><abstract>Deep convection gives rise to large upper level clouds that strongly interact with radiation and are important to the climate energy budget. From an object-oriented perspective, these individual deep cloud systems are characterized by a well depicted cloud shield life cycle, starting with small cloud extents that grow at varying rates before decaying and vanishing. A simple formulation of the growth rate of the cloud shield has been proposed that links together the growth rate on the convective part of the cloud, the mass flux of both the convective and stratiform parts of the cluster and a simple removal sink term (Elsaesser et al., 2022). In this presentation we first show using a suite of satellite observations (infrared from geostationary satellites, GPM radar, etc.) that the functional form of the proposed equation is well suited to quantify the shield growth rate. We then focus on RCE simulations, with deep cloud system objects post processed, to explore the relative role of each term of the growth rate budget. Three different models are used in the same RCEMIP-like configurations. The results show that the budget equation works very well for each model, although the time constants require model-dependent adjustments. We will further show in Vienna the commonalities and the specificities of each model.</abstract><cop>Goddard Space Flight Center</cop><pub>European Geosciences Union</pub><doi>10.5194/egusphere-egu24-7675</doi><orcidid>https://orcid.org/0000-0001-5785-4451</orcidid><orcidid>https://orcid.org/0000-0001-5902-1701</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.5194/egusphere-egu24-7675
ispartof
issn
language eng
recordid cdi_nasa_ntrs_20240003104
source NASA Technical Reports Server
subjects Meteorology and Climatology
title Growth Rate of Deep Convective System Cloud Shields: Satellite Observations and Km-Scale Radiative Convective Equilibrium Simulations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T23%3A45%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-nasa_CYI&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Growth%20Rate%20of%20Deep%20Convective%20System%20Cloud%20Shields:%20Satellite%20Observations%20and%20Km-Scale%20Radiative%20Convective%20Equilibrium%20Simulations&rft.au=Roca,%20Remy&rft.date=2024-04-15&rft.volume=EGU24-7675&rft.issue=AS1.17&rft_id=info:doi/10.5194/egusphere-egu24-7675&rft_dat=%3Cnasa_CYI%3E20240003104%3C/nasa_CYI%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true