---
_id: '15047'
abstract:
- lang: eng
text: Tropical precipitation extremes and their changes with surface warming are
investigated using global storm resolving simulations and high-resolution observations.
The simulations demonstrate that the mesoscale organization of convection, a process
that cannot be physically represented by conventional global climate models, is
important for the variations of tropical daily accumulated precipitation extremes.
In both the simulations and observations, daily precipitation extremes increase
in a more organized state, in association with larger, but less frequent, storms.
Repeating the simulations for a warmer climate results in a robust increase in
monthly-mean daily precipitation extremes. Higher precipitation percentiles have
a greater sensitivity to convective organization, which is predicted to increase
with warming. Without changes in organization, the strongest daily precipitation
extremes over the tropical oceans increase at a rate close to Clausius-Clapeyron
(CC) scaling. Thus, in a future warmer state with increased organization, the
strongest daily precipitation extremes over oceans increase at a faster rate than
CC scaling.
acknowledgement: This work is supported by the Max-Planck-Gesellschaft (MPG). We greatly
appreciate computational resources from Deutsches Klimarechenzentrum (DKRZ) and
the Jülich Supercomputing Centre (JSC). ICONA/O simulations are funded through the
NextGEMS project by the EU’s Horizon 2020 programme (grant agreement no. 101003470).
ICONA simulations are funded through the MONSOON-2.0 project (grant agreement no.
01LP1927A) which is supported from German Federal Ministry of Education and Research
(BMBF). J.B. acknowledges funding from the European Union’s Horizon 2020 research
and innovation programme under the Marie Skłodowska-Curie grant (grant agreement
no. 101034413). B.S. acknowledges funding from the EU’s Horizon 2020 programme (grant
agreement no. 101003470). C.M. gratefully acknowledges funding from the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
program (Project CLUSTER, grant agreement no. 805041).
article_number: eadj6801
article_processing_charge: Yes
article_type: original
author:
- first_name: Jiawei
full_name: Bao, Jiawei
id: bb9a7399-fefd-11ed-be3c-ae648fd1d160
last_name: Bao
- first_name: Bjorn
full_name: Stevens, Bjorn
last_name: Stevens
- first_name: Lukas
full_name: Kluft, Lukas
last_name: Kluft
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
citation:
ama: Bao J, Stevens B, Kluft L, Muller CJ. Intensification of daily tropical precipitation
extremes from more organized convection. Science Advances. 2024;10(8).
doi:10.1126/sciadv.adj6801
apa: Bao, J., Stevens, B., Kluft, L., & Muller, C. J. (2024). Intensification
of daily tropical precipitation extremes from more organized convection. Science
Advances. American Association for the Advancement of Science. https://doi.org/10.1126/sciadv.adj6801
chicago: Bao, Jiawei, Bjorn Stevens, Lukas Kluft, and Caroline J Muller. “Intensification
of Daily Tropical Precipitation Extremes from More Organized Convection.” Science
Advances. American Association for the Advancement of Science, 2024. https://doi.org/10.1126/sciadv.adj6801.
ieee: J. Bao, B. Stevens, L. Kluft, and C. J. Muller, “Intensification of daily
tropical precipitation extremes from more organized convection,” Science Advances,
vol. 10, no. 8. American Association for the Advancement of Science, 2024.
ista: Bao J, Stevens B, Kluft L, Muller CJ. 2024. Intensification of daily tropical
precipitation extremes from more organized convection. Science Advances. 10(8),
eadj6801.
mla: Bao, Jiawei, et al. “Intensification of Daily Tropical Precipitation Extremes
from More Organized Convection.” Science Advances, vol. 10, no. 8, eadj6801,
American Association for the Advancement of Science, 2024, doi:10.1126/sciadv.adj6801.
short: J. Bao, B. Stevens, L. Kluft, C.J. Muller, Science Advances 10 (2024).
date_created: 2024-03-03T23:00:50Z
date_published: 2024-02-23T00:00:00Z
date_updated: 2024-03-05T09:26:47Z
day: '23'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1126/sciadv.adj6801
ec_funded: 1
external_id:
pmid:
- '38394192'
file:
- access_level: open_access
checksum: d4ec4f05a6d14745057e14d1b8bf45ae
content_type: application/pdf
creator: dernst
date_created: 2024-03-04T07:34:00Z
date_updated: 2024-03-04T07:34:00Z
file_id: '15051'
file_name: 2024_ScienceAdv_Bao.pdf
file_size: 800926
relation: main_file
success: 1
file_date_updated: 2024-03-04T07:34:00Z
has_accepted_license: '1'
intvolume: ' 10'
issue: '8'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
call_identifier: H2020
grant_number: '805041'
name: organization of CLoUdS, and implications of Tropical cyclones and for the
Energetics of the tropics, in current and waRming climate
publication: Science Advances
publication_identifier:
eissn:
- 2375-2548
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
related_material:
link:
- description: News on ISTA Website
relation: press_release
url: https://ista.ac.at/en/news/cloud-clustering-causes-more-extreme-rain/
scopus_import: '1'
status: public
title: Intensification of daily tropical precipitation extremes from more organized
convection
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10
year: '2024'
...
---
_id: '11434'
abstract:
- lang: eng
text: The Indian summer monsoon rainfall (ISMR) has been declining since the 1950s.
However, since 2002 it is reported to have revived. For these observed changes
in the ISMR, several explanations have been reported. Among these explanations,
however, the role of the eastern equatorial Indian Ocean (EEIO) is missing despite
being one of the warmest regions in the Indian Ocean, and monotonously warming.
A recent study reported that EEIO warming impacts the rainfall over northern India.
Here we report that warming in the EEIO weakens the low-level Indian summer monsoon
circulation and reduces ISMR. A warm EEIO drives easterly winds in the Indo–Pacific
sector as a Gill response. The warm EEIO also enhances nocturnal convection offshore
the western coast of Sumatra. The latent heating associated with the increased
convection augments the Gill response and the resultant circulation opposes the
monsoon low-level circulation and weakens the seasonal rainfall.
acknowledgement: This work was supported by the National Research Foundation of Korea
(NRF) grant funded by the Korea government (MSIT) (NRF-2018R1A5A1024958). Model
simulation and data transfer were supported by the National Supercomputing Center
with supercomputing resources including technical support (KSC-2019-CHA-0005), the
National Center for Meteorological Supercomputer of Korea Meteorological Administration,
and by the Korea Research Environment Open NETwork (KREONET), respectively. The
authors declare no conflicts of interest.
article_processing_charge: No
article_type: original
author:
- first_name: Bidyut B
full_name: Goswami, Bidyut B
id: 3a4ac09c-6d61-11ec-bf66-884cde66b64b
last_name: Goswami
citation:
ama: GOSWAMI BB. Role of the eastern equatorial Indian Ocean warming in the Indian
summer monsoon rainfall trend. Climate Dynamics. 2023;60:427-442. doi:10.1007/s00382-022-06337-7
apa: GOSWAMI, B. B. (2023). Role of the eastern equatorial Indian Ocean warming
in the Indian summer monsoon rainfall trend. Climate Dynamics. Springer
Nature. https://doi.org/10.1007/s00382-022-06337-7
chicago: GOSWAMI, BIDYUT B. “Role of the Eastern Equatorial Indian Ocean Warming
in the Indian Summer Monsoon Rainfall Trend.” Climate Dynamics. Springer
Nature, 2023. https://doi.org/10.1007/s00382-022-06337-7.
ieee: B. B. GOSWAMI, “Role of the eastern equatorial Indian Ocean warming in the
Indian summer monsoon rainfall trend,” Climate Dynamics, vol. 60. Springer
Nature, pp. 427–442, 2023.
ista: GOSWAMI BB. 2023. Role of the eastern equatorial Indian Ocean warming in the
Indian summer monsoon rainfall trend. Climate Dynamics. 60, 427–442.
mla: GOSWAMI, BIDYUT B. “Role of the Eastern Equatorial Indian Ocean Warming in
the Indian Summer Monsoon Rainfall Trend.” Climate Dynamics, vol. 60, Springer
Nature, 2023, pp. 427–42, doi:10.1007/s00382-022-06337-7.
short: B.B. GOSWAMI, Climate Dynamics 60 (2023) 427–442.
date_created: 2022-06-05T22:01:50Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2023-06-28T11:49:58Z
day: '01'
department:
- _id: CaMu
doi: 10.1007/s00382-022-06337-7
external_id:
isi:
- '000803119400002'
intvolume: ' 60'
isi: 1
language:
- iso: eng
month: '01'
oa_version: None
page: 427-442
publication: Climate Dynamics
publication_identifier:
eissn:
- 1432-0894
issn:
- 0930-7575
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: ' https://doi.org/10.1007/s00382-022-06401-2'
scopus_import: '1'
status: public
title: Role of the eastern equatorial Indian Ocean warming in the Indian summer monsoon
rainfall trend
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 60
year: '2023'
...
---
_id: '14453'
abstract:
- lang: eng
text: Squall lines are substantially influenced by the interaction of low-level
shear with cold pools associated with convective downdrafts. Beyond an optimal
shear amplitude, squall lines tend to orient themselves at an angle with respect
to the low-level shear. While the mechanisms behind squall line orientation seem
to be increasingly well understood, uncertainties remain on the implications of
this orientation. Roca and Fiolleau (2020, https://doi.org/10.1038/s43247-020-00015-4)
show that long lived mesoscale convective systems, including squall lines, are
disproportionately involved in rainfall extremes in the tropics. This article
investigates the influence of the interaction between low-level shear and squall
line outflow on squall line generated precipitation extrema in the tropics. Using
a cloud resolving model, simulated squall lines in radiative convective equilibrium
amid a shear-dominated regime (super optimal), a balanced regime (optimal), and
an outflow dominated regime (suboptimal). Our results show that precipitation
extremes in squall lines are 40% more intense in the case of optimal shear and
remain 30% superior in the superoptimal regime relative to a disorganized case.
With a theoretical scaling of precipitation extremes (C. Muller & Takayabu, 2020,
https://doi.org/10.1088/1748-9326/ab7130), we show that the condensation rates
control the amplification of precipitation extremes in tropical squall lines,
mainly due to its change in vertical mass flux (dynamic component). The reduction
of dilution by entrainment explains half of this change, consistent with Mulholland
et al. (2021, https://doi.org/10.1175/jas-d-20-0299.1). The other half is explained
by increased cloud-base velocity intensity in optimal and superoptimal squall
lines.
acknowledgement: The authors gratefully acknowledge funding from the European Research
Council under the European Union's Horizon 2020 research and innovation program
(Project CLUSTER, Grant Agreement No. 805041). This work is also supported by a
PhD fellowship funded by the Ecole Normale Supérieure de Paris-Saclay. Authors are
also grateful to Benjamin Filider, who was of great help and support in the development
of ideas. Eventually, we would like to thank Martin Singh, John M. Peters and an
anonymous reviewer for their valuable comments and suggestions, which greatly improved
the quality of the manuscript.
article_number: e2022MS003477
article_processing_charge: Yes
article_type: original
author:
- first_name: Sophie
full_name: Abramian, Sophie
last_name: Abramian
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Camille
full_name: Risi, Camille
last_name: Risi
citation:
ama: Abramian S, Muller CJ, Risi C. Extreme precipitation in tropical squall lines.
Journal of Advances in Modeling Earth Systems. 2023;15(10). doi:10.1029/2022MS003477
apa: Abramian, S., Muller, C. J., & Risi, C. (2023). Extreme precipitation in
tropical squall lines. Journal of Advances in Modeling Earth Systems. Wiley.
https://doi.org/10.1029/2022MS003477
chicago: Abramian, Sophie, Caroline J Muller, and Camille Risi. “Extreme Precipitation
in Tropical Squall Lines.” Journal of Advances in Modeling Earth Systems.
Wiley, 2023. https://doi.org/10.1029/2022MS003477.
ieee: S. Abramian, C. J. Muller, and C. Risi, “Extreme precipitation in tropical
squall lines,” Journal of Advances in Modeling Earth Systems, vol. 15,
no. 10. Wiley, 2023.
ista: Abramian S, Muller CJ, Risi C. 2023. Extreme precipitation in tropical squall
lines. Journal of Advances in Modeling Earth Systems. 15(10), e2022MS003477.
mla: Abramian, Sophie, et al. “Extreme Precipitation in Tropical Squall Lines.”
Journal of Advances in Modeling Earth Systems, vol. 15, no. 10, e2022MS003477,
Wiley, 2023, doi:10.1029/2022MS003477.
short: S. Abramian, C.J. Muller, C. Risi, Journal of Advances in Modeling Earth
Systems 15 (2023).
date_created: 2023-10-29T23:01:15Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2023-12-13T13:06:40Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2022MS003477
ec_funded: 1
external_id:
isi:
- '001084933600001'
file:
- access_level: open_access
checksum: 43e6a1a35b663843c7d3f8d0caaca1a5
content_type: application/pdf
creator: dernst
date_created: 2023-10-30T13:31:42Z
date_updated: 2023-10-30T13:31:42Z
file_id: '14470'
file_name: 2023_JAMES_Abramian.pdf
file_size: 1975210
relation: main_file
success: 1
file_date_updated: 2023-10-30T13:31:42Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
issue: '10'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
call_identifier: H2020
grant_number: '805041'
name: organization of CLoUdS, and implications of Tropical cyclones and for the
Energetics of the tropics, in current and waRming climate
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
eissn:
- 1942-2466
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Extreme precipitation in tropical squall lines
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2023'
...
---
_id: '14564'
abstract:
- lang: eng
text: Cumulus parameterization (CP) in state‐of‐the‐art global climate models is
based on the quasi‐equilibrium assumption (QEA), which views convection as the
action of an ensemble of cumulus clouds, in a state of equilibrium with respect
to a slowly varying atmospheric state. This view is not compatible with the organization
and dynamical interactions across multiple scales of cloud systems in the tropics
and progress in this research area was slow over decades despite the widely recognized
major shortcomings. Novel ideas on how to represent key physical processes of
moist convection‐large‐scale interaction to overcome the QEA have surged recently.
The stochastic multicloud model (SMCM) CP in particular mimics the dynamical interactions
of multiple cloud types that characterize organized tropical convection. Here,
the SMCM is used to modify the Zhang‐McFarlane (ZM) CP by changing the way in
which the bulk mass flux and bulk entrainment and detrainment rates are calculated.
This is done by introducing a stochastic ensemble of plumes characterized by randomly
varying detrainment level distributions based on the cloud area fraction of the
SMCM. The SMCM is here extended to include shallow cumulus clouds resulting in
a unified shallow‐deep CP. The new stochastic multicloud plume CP is validated
against the control ZM scheme in the context of the single column Community Climate
Model of the National Center for Atmospheric Research using data from both tropical
ocean and midlatitude land convection. Some key features of the SMCM CP such as
it capability to represent the tri‐modal nature of organized convection are emphasized.
acknowledgement: The research of B.K. is supported in part by a Discovery Grant from
the Natural Sciences and Engineering Research Council of Canada (RGPIN-04246-2020).
This research was conducted during the visits of P.M. Krishna to the Center for
Prototype Climate Models at NYU Abu Dhabi and University of Victoria from November
2018 to June 2019 and July 2019 and October 2019, respectively. The authors are
very grateful to the three anonymous reviewers who provided very thoughtful and
constructive comments during the review process that helped greatly improve and
shape the final version of the manuscript.
article_number: e2022MS003391
article_processing_charge: Yes
article_type: original
author:
- first_name: B.
full_name: Khouider, B.
last_name: Khouider
- first_name: BIDYUT B
full_name: GOSWAMI, BIDYUT B
id: 3a4ac09c-6d61-11ec-bf66-884cde66b64b
last_name: GOSWAMI
orcid: 0000-0001-8602-3083
- first_name: R.
full_name: Phani, R.
last_name: Phani
- first_name: A. J.
full_name: Majda, A. J.
last_name: Majda
citation:
ama: Khouider B, GOSWAMI BB, Phani R, Majda AJ. A shallow‐deep unified stochastic
mass flux cumulus parameterization in the single column community climate model.
Journal of Advances in Modeling Earth Systems. 2023;15(11). doi:10.1029/2022ms003391
apa: Khouider, B., GOSWAMI, B. B., Phani, R., & Majda, A. J. (2023). A shallow‐deep
unified stochastic mass flux cumulus parameterization in the single column community
climate model. Journal of Advances in Modeling Earth Systems. American
Geophysical Union. https://doi.org/10.1029/2022ms003391
chicago: Khouider, B., BIDYUT B GOSWAMI, R. Phani, and A. J. Majda. “A Shallow‐deep
Unified Stochastic Mass Flux Cumulus Parameterization in the Single Column Community
Climate Model.” Journal of Advances in Modeling Earth Systems. American
Geophysical Union, 2023. https://doi.org/10.1029/2022ms003391.
ieee: B. Khouider, B. B. GOSWAMI, R. Phani, and A. J. Majda, “A shallow‐deep unified
stochastic mass flux cumulus parameterization in the single column community climate
model,” Journal of Advances in Modeling Earth Systems, vol. 15, no. 11.
American Geophysical Union, 2023.
ista: Khouider B, GOSWAMI BB, Phani R, Majda AJ. 2023. A shallow‐deep unified stochastic
mass flux cumulus parameterization in the single column community climate model.
Journal of Advances in Modeling Earth Systems. 15(11), e2022MS003391.
mla: Khouider, B., et al. “A Shallow‐deep Unified Stochastic Mass Flux Cumulus Parameterization
in the Single Column Community Climate Model.” Journal of Advances in Modeling
Earth Systems, vol. 15, no. 11, e2022MS003391, American Geophysical Union,
2023, doi:10.1029/2022ms003391.
short: B. Khouider, B.B. GOSWAMI, R. Phani, A.J. Majda, Journal of Advances in Modeling
Earth Systems 15 (2023).
date_created: 2023-11-20T09:18:21Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2023-11-28T12:04:42Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2022ms003391
file:
- access_level: open_access
checksum: e30329dd985559de0ddc7021ca7382b4
content_type: application/pdf
creator: dernst
date_created: 2023-11-20T11:29:16Z
date_updated: 2023-11-20T11:29:16Z
file_id: '14582'
file_name: 2023_JAMES_Khoulder.pdf
file_size: 6435697
relation: main_file
success: 1
file_date_updated: 2023-11-20T11:29:16Z
has_accepted_license: '1'
intvolume: ' 15'
issue: '11'
keyword:
- General Earth and Planetary Sciences
- Environmental Chemistry
- Global and Planetary Change
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '11'
oa: 1
oa_version: Published Version
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
eissn:
- 1942-2466
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: A shallow‐deep unified stochastic mass flux cumulus parameterization in the
single column community climate model
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2023'
...
---
_id: '14654'
abstract:
- lang: eng
text: Two assumptions commonly applied in convection schemes—the diagnostic and
quasi-equilibrium assumptions—imply that convective activity (e.g., convective
precipitation) is controlled only by the large-scale (macrostate) environment
at the time. In contrast, numerical experiments indicate a “memory” or dependence
of convection also on its own previous activity whereby subgrid-scale (microstate)
structures boost but are also boosted by convection. In this study we investigated
this memory by comparing single-column model behavior in two idealized tests previously
executed by a cloud-resolving model (CRM). Conventional convection schemes that
employ the diagnostic assumption fail to reproduce the CRM behavior. The memory-capable
org and Laboratoire de Météorologie Dynamique Zoom cold pool schemes partially
capture the behavior, but fail to fully exhibit the strong reinforcing feedbacks
implied by the CRM. Analysis of this failure suggests that it is because the CRM
supports a linear (or superlinear) dependence of the subgrid structure growth
rate on the precipitation rate, while the org scheme assumes a sublinear dependence.
Among varying versions of the org scheme, the growth rate of the org variable
representing subgrid structure is strongly associated with memory strength. These
results demonstrate the importance of parameterizing convective memory, and the
ability of idealized tests to reveal shortcomings of convection schemes and constrain
model structural assumptions.
acknowledgement: YLH is supported by funding from the European Union's Horizon 2020
research and innovation programme under the Marie Skłodowska-Curie Grant Agreement
No. 101034413. CJM gratefully acknowledges funding from the European Research Council
under the European Union's Horizon 2020 research and innovation program (Project
CLUSTER, Grant Agreement No. 805041). YLH and SCS were supported by the Australian
Research Council (FL150100035). The authors thank Brian Mapes, David Fuchs and Siwon
Song for stimulating and helpful discussions. MC warmly thanks the LMD team in Paris
for their assistance with the LMDZ model. We thank the two anonymous reviewers for
their constructive comments that greatly improved this manuscript.
article_number: e2023MS003726
article_processing_charge: Yes
article_type: original
author:
- first_name: Yi-Ling
full_name: Hwong, Yi-Ling
id: 1217aa61-4dd1-11ec-9ac3-f2ba3f17ee22
last_name: Hwong
orcid: 0000-0001-9281-3479
- first_name: M.
full_name: Colin, M.
last_name: Colin
- first_name: Philipp
full_name: Aglas, Philipp
id: 02eace56-97fc-11ee-b81a-f0939ca85a77
last_name: Aglas
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: S. C.
full_name: Sherwood, S. C.
last_name: Sherwood
citation:
ama: Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood SC. Assessing memory in convection
schemes using idealized tests. Journal of Advances in Modeling Earth Systems.
2023;15(12). doi:10.1029/2023MS003726
apa: Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., & Sherwood, S. C. (2023).
Assessing memory in convection schemes using idealized tests. Journal of Advances
in Modeling Earth Systems. Wiley. https://doi.org/10.1029/2023MS003726
chicago: Hwong, Yi-Ling, M. Colin, Philipp Aglas, Caroline J Muller, and S. C. Sherwood.
“Assessing Memory in Convection Schemes Using Idealized Tests.” Journal of
Advances in Modeling Earth Systems. Wiley, 2023. https://doi.org/10.1029/2023MS003726.
ieee: Y.-L. Hwong, M. Colin, P. Aglas, C. J. Muller, and S. C. Sherwood, “Assessing
memory in convection schemes using idealized tests,” Journal of Advances in
Modeling Earth Systems, vol. 15, no. 12. Wiley, 2023.
ista: Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood SC. 2023. Assessing memory
in convection schemes using idealized tests. Journal of Advances in Modeling Earth
Systems. 15(12), e2023MS003726.
mla: Hwong, Yi-Ling, et al. “Assessing Memory in Convection Schemes Using Idealized
Tests.” Journal of Advances in Modeling Earth Systems, vol. 15, no. 12,
e2023MS003726, Wiley, 2023, doi:10.1029/2023MS003726.
short: Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, Journal of Advances
in Modeling Earth Systems 15 (2023).
date_created: 2023-12-10T23:00:57Z
date_published: 2023-12-01T00:00:00Z
date_updated: 2024-02-27T07:26:30Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2023MS003726
ec_funded: 1
file:
- access_level: open_access
checksum: 4d060b293da3d203de8769e398edf711
content_type: application/pdf
creator: dernst
date_created: 2023-12-11T08:08:44Z
date_updated: 2023-12-11T08:08:44Z
file_id: '14670'
file_name: 2023_JAMES_Hwong.pdf
file_size: 2783677
relation: main_file
success: 1
file_date_updated: 2023-12-11T08:08:44Z
has_accepted_license: '1'
intvolume: ' 15'
issue: '12'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
call_identifier: H2020
grant_number: '805041'
name: organization of CLoUdS, and implications of Tropical cyclones and for the
Energetics of the tropics, in current and waRming climate
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
eissn:
- 1942-2466
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '14991'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Assessing memory in convection schemes using idealized tests
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2023'
...
---
_id: '14752'
abstract:
- lang: eng
text: 'Radiative cooling of the lowest atmospheric levels is of strong importance
for modulating atmospheric circulations and organizing convection, but detailed
observations and a robust theoretical understanding are lacking. Here we use unprecedented
observational constraints from subsidence regimes in the tropical Atlantic to
develop a theory for the shape and magnitude of low‐level longwave radiative cooling
in clear‐sky, showing peaks larger than 5–10 K/day at the top of the boundary
layer. A suite of novel scaling approximations is first developed from simplified
spectral theory, in close agreement with the measurements. The radiative cooling
peak height is set by the maximum lapse rate in water vapor path, and its magnitude
is mainly controlled by the ratio of column relative humidity above and below
the peak. We emphasize how elevated intrusions of moist air can reduce low‐level
cooling, by sporadically shading the spectral range which effectively cools to
space. The efficiency of this spectral shading depends both on water content and
altitude of moist intrusions; its height dependence cannot be explained by the
temperature difference between the emitting and absorbing layers, but by the decrease
of water vapor extinction with altitude. This analytical work can help to narrow
the search for low‐level cloud patterns sensitive to radiative‐convective feedbacks:
the most organized patterns with largest cloud fractions occur in atmospheres
below 10% relative humidity and feel the strongest low‐level cooling. This motivates
further assessment of favorable conditions for radiative‐convective feedbacks
and a robust quantification of corresponding shallow cloud dynamics in current
and warmer climates.'
acknowledgement: The authors would like to thank two anonymous reviews and gratefully
acknowledge diverse funding agencies and resources used for this work. B.F. and
C.M. thank funding from the European Research Council (ERC) under the European Union's
Horizon 2020 research and innovation program (Project CLUSTER, grant agreement no.
805041), and the EUREC4A campaign organizers for giving the opportunity to take
part to the campaign and use the data early on. R. P. was supported by the US National
Science Foundation (award AGS 19–16908), by the National Oceanic and Atmospheric
Administration (award NA200AR4310375), and the Vetlesen Foundation.
article_number: e2023AV000880
article_processing_charge: Yes
article_type: original
author:
- first_name: B.
full_name: Fildier, B.
last_name: Fildier
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: R.
full_name: Pincus, R.
last_name: Pincus
- first_name: S.
full_name: Fueglistaler, S.
last_name: Fueglistaler
citation:
ama: Fildier B, Muller CJ, Pincus R, Fueglistaler S. How moisture shapes low‐level
radiative cooling in subsidence regimes. AGU Advances. 2023;4(3). doi:10.1029/2023av000880
apa: Fildier, B., Muller, C. J., Pincus, R., & Fueglistaler, S. (2023). How
moisture shapes low‐level radiative cooling in subsidence regimes. AGU Advances.
American Geophysical Union. https://doi.org/10.1029/2023av000880
chicago: Fildier, B., Caroline J Muller, R. Pincus, and S. Fueglistaler. “How Moisture
Shapes Low‐level Radiative Cooling in Subsidence Regimes.” AGU Advances.
American Geophysical Union, 2023. https://doi.org/10.1029/2023av000880.
ieee: B. Fildier, C. J. Muller, R. Pincus, and S. Fueglistaler, “How moisture shapes
low‐level radiative cooling in subsidence regimes,” AGU Advances, vol.
4, no. 3. American Geophysical Union, 2023.
ista: Fildier B, Muller CJ, Pincus R, Fueglistaler S. 2023. How moisture shapes
low‐level radiative cooling in subsidence regimes. AGU Advances. 4(3), e2023AV000880.
mla: Fildier, B., et al. “How Moisture Shapes Low‐level Radiative Cooling in Subsidence
Regimes.” AGU Advances, vol. 4, no. 3, e2023AV000880, American Geophysical
Union, 2023, doi:10.1029/2023av000880.
short: B. Fildier, C.J. Muller, R. Pincus, S. Fueglistaler, AGU Advances 4 (2023).
date_created: 2024-01-08T13:07:49Z
date_published: 2023-06-01T00:00:00Z
date_updated: 2024-01-09T08:54:03Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2023av000880
ec_funded: 1
file:
- access_level: open_access
checksum: af773220a9fa194c61a8dc2fae092c16
content_type: application/pdf
creator: dernst
date_created: 2024-01-09T08:51:25Z
date_updated: 2024-01-09T08:51:25Z
file_id: '14761'
file_name: 2023_AGUAdvances_Fildier.pdf
file_size: 24149551
relation: main_file
success: 1
file_date_updated: 2024-01-09T08:51:25Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '3'
keyword:
- General Earth and Planetary Sciences
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
project:
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
call_identifier: H2020
grant_number: '805041'
name: organization of CLoUdS, and implications of Tropical cyclones and for the
Energetics of the tropics, in current and waRming climate
publication: AGU Advances
publication_identifier:
eissn:
- 2576-604X
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: How moisture shapes low‐level radiative cooling in subsidence regimes
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2023'
...
---
_id: '14773'
abstract:
- lang: eng
text: Through a combination of idealized simulations and real-world data, researchers
are uncovering how internal feedbacks and large-scale motions influence cloud
dynamics.
article_number: '28'
article_processing_charge: No
article_type: original
author:
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Sophie
full_name: Abramian, Sophie
last_name: Abramian
citation:
ama: Muller CJ, Abramian S. The cloud dynamics of convective storm systems. Physics
Today. 2023;76(5). doi:10.1063/pt.3.5234
apa: Muller, C. J., & Abramian, S. (2023). The cloud dynamics of convective
storm systems. Physics Today. AIP Publishing. https://doi.org/10.1063/pt.3.5234
chicago: Muller, Caroline J, and Sophie Abramian. “The Cloud Dynamics of Convective
Storm Systems.” Physics Today. AIP Publishing, 2023. https://doi.org/10.1063/pt.3.5234.
ieee: C. J. Muller and S. Abramian, “The cloud dynamics of convective storm systems,”
Physics Today, vol. 76, no. 5. AIP Publishing, 2023.
ista: Muller CJ, Abramian S. 2023. The cloud dynamics of convective storm systems.
Physics Today. 76(5), 28.
mla: Muller, Caroline J., and Sophie Abramian. “The Cloud Dynamics of Convective
Storm Systems.” Physics Today, vol. 76, no. 5, 28, AIP Publishing, 2023,
doi:10.1063/pt.3.5234.
short: C.J. Muller, S. Abramian, Physics Today 76 (2023).
date_created: 2024-01-10T09:18:04Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2024-01-10T12:38:02Z
day: '01'
department:
- _id: CaMu
doi: 10.1063/pt.3.5234
external_id:
isi:
- '000984516100007'
intvolume: ' 76'
isi: 1
issue: '5'
keyword:
- General Physics and Astronomy
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.lmd.ens.fr/muller/Pubs/2023-MullerAbramianPhysToday.pdf
month: '05'
oa: 1
oa_version: Published Version
publication: Physics Today
publication_identifier:
eissn:
- 1945-0699
issn:
- 0031-9228
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
status: public
title: The cloud dynamics of convective storm systems
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 76
year: '2023'
...
---
_id: '14853'
abstract:
- lang: eng
text: Organization – or departure from a random pattern – in tropical deep convection
is heavily studied due to its immediate relevance to climate sensitivity and extremes.
Low-latitude convection has motivated numerical model idealizations, where the
Coriolis force is removed and boundary conditions are simplified spatially and
temporally. One of the most stunning aspects of such idealized simulated cloud
organization is the spontaneous clumping of convection that can occur without
any predetermining external perturbation, such as inhomogeneous surface boundary
conditions or large-scale waves. Whereas individual convective rain cells measure
only few kilometers in horizontal diameter, the clusters they form can often span
hundreds or even thousands of kilometers. Hence, organization may emerge from
the very small scales but can show effects at the synoptic scale. We refer to
such emergent organization as convective self-organization. Convective self-organization
thus features characteristics of emergence, such as non-trivial system-scale pattern
formation or hysteresis. We summarize observational evidence for large-scale organization
and briefly recap classical idealized modeling studies that yield convective self-aggregation
– emergent organization under strongly idealized boundary conditions. We then
focus on developing research, where temporal variation, such as the diurnal cycle,
or two-way interactive surface properties yield distinct organizational modes.
Convectively generated cold pools and mesoscale convective systems, both ubiquitous
in nature, are thereby found to potentially play key roles in promoting – rather
than suppressing – sustained system-scale organization.
alternative_title:
- Geophysical Monograph Series
article_processing_charge: No
author:
- first_name: Jan O.
full_name: Haerter, Jan O.
last_name: Haerter
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
citation:
ama: 'Haerter JO, Muller CJ. Mechanisms for the Self‐Organization of Tropical Deep
Convection. In: Sullivan S, Hoose C, eds. Clouds and Their Climatic Impacts.
Wiley; 2023:179-193. doi:10.1002/9781119700357.ch8'
apa: Haerter, J. O., & Muller, C. J. (2023). Mechanisms for the Self‐Organization
of Tropical Deep Convection. In S. Sullivan & C. Hoose (Eds.), Clouds and
Their Climatic Impacts (pp. 179–193). Wiley. https://doi.org/10.1002/9781119700357.ch8
chicago: Haerter, Jan O., and Caroline J Muller. “Mechanisms for the Self‐Organization
of Tropical Deep Convection.” In Clouds and Their Climatic Impacts, edited
by Sylvia Sullivan and Corinna Hoose, 179–93. Wiley, 2023. https://doi.org/10.1002/9781119700357.ch8.
ieee: J. O. Haerter and C. J. Muller, “Mechanisms for the Self‐Organization of Tropical
Deep Convection,” in Clouds and Their Climatic Impacts, S. Sullivan and
C. Hoose, Eds. Wiley, 2023, pp. 179–193.
ista: 'Haerter JO, Muller CJ. 2023.Mechanisms for the Self‐Organization of Tropical
Deep Convection. In: Clouds and Their Climatic Impacts. Geophysical Monograph
Series, , 179–193.'
mla: Haerter, Jan O., and Caroline J. Muller. “Mechanisms for the Self‐Organization
of Tropical Deep Convection.” Clouds and Their Climatic Impacts, edited
by Sylvia Sullivan and Corinna Hoose, Wiley, 2023, pp. 179–93, doi:10.1002/9781119700357.ch8.
short: J.O. Haerter, C.J. Muller, in:, S. Sullivan, C. Hoose (Eds.), Clouds and
Their Climatic Impacts, Wiley, 2023, pp. 179–193.
date_created: 2024-01-22T08:23:16Z
date_published: 2023-12-15T00:00:00Z
date_updated: 2024-01-23T12:40:36Z
day: '15'
department:
- _id: CaMu
doi: 10.1002/9781119700357.ch8
editor:
- first_name: Sylvia
full_name: Sullivan, Sylvia
last_name: Sullivan
- first_name: Corinna
full_name: Hoose, Corinna
last_name: Hoose
language:
- iso: eng
month: '12'
oa_version: None
page: 179-193
publication: Clouds and Their Climatic Impacts
publication_identifier:
eisbn:
- '9781119700357'
isbn:
- '9781119700319'
issn:
- 2328-8779
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Mechanisms for the Self‐Organization of Tropical Deep Convection
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14863'
article_number: EGU23-6157
article_processing_charge: No
author:
- first_name: Andrea
full_name: Polesello, Andrea
id: 74c777f4-32da-11ee-b498-874db0835561
last_name: Polesello
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Claudia
full_name: Pasquero, Claudia
last_name: Pasquero
- first_name: Agostino N.
full_name: Meroni, Agostino N.
last_name: Meroni
citation:
ama: 'Polesello A, Muller CJ, Pasquero C, Meroni AN. Intensification mechanisms
of tropical cyclones. In: EGU General Assembly 2023. European Geosciences
Union; 2023. doi:10.5194/egusphere-egu23-6157'
apa: 'Polesello, A., Muller, C. J., Pasquero, C., & Meroni, A. N. (2023). Intensification
mechanisms of tropical cyclones. In EGU General Assembly 2023. Vienna,
Austria & Virtual: European Geosciences Union. https://doi.org/10.5194/egusphere-egu23-6157'
chicago: Polesello, Andrea, Caroline J Muller, Claudia Pasquero, and Agostino N.
Meroni. “Intensification Mechanisms of Tropical Cyclones.” In EGU General Assembly
2023. European Geosciences Union, 2023. https://doi.org/10.5194/egusphere-egu23-6157.
ieee: A. Polesello, C. J. Muller, C. Pasquero, and A. N. Meroni, “Intensification
mechanisms of tropical cyclones,” in EGU General Assembly 2023, Vienna,
Austria & Virtual, 2023.
ista: Polesello A, Muller CJ, Pasquero C, Meroni AN. 2023. Intensification mechanisms
of tropical cyclones. EGU General Assembly 2023. EGU General Assembly, EGU23-6157.
mla: Polesello, Andrea, et al. “Intensification Mechanisms of Tropical Cyclones.”
EGU General Assembly 2023, EGU23-6157, European Geosciences Union, 2023,
doi:10.5194/egusphere-egu23-6157.
short: A. Polesello, C.J. Muller, C. Pasquero, A.N. Meroni, in:, EGU General Assembly
2023, European Geosciences Union, 2023.
conference:
end_date: 2023-04-28
location: Vienna, Austria & Virtual
name: EGU General Assembly
start_date: 2023-04-23
date_created: 2024-01-22T12:08:12Z
date_published: 2023-04-13T00:00:00Z
date_updated: 2024-01-24T11:25:07Z
day: '13'
ddc:
- '550'
department:
- _id: CaMu
- _id: GradSch
doi: 10.5194/egusphere-egu23-6157
file:
- access_level: open_access
checksum: 8cb88c1bc80ccee328478a62064d98f7
content_type: application/pdf
creator: dernst
date_created: 2024-01-24T11:19:54Z
date_updated: 2024-01-24T11:19:54Z
file_id: '14883'
file_name: 2023_EGU_Polesello.pdf
file_size: 296769
relation: main_file
success: 1
file_date_updated: 2024-01-24T11:19:54Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
publication: EGU General Assembly 2023
publication_status: published
publisher: European Geosciences Union
status: public
title: Intensification mechanisms of tropical cyclones
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14864'
acknowledgement: This project has received funding from the European Research Council
(ERC) under the European Union’s Starting Grant (No. 949120).
article_number: '6166'
article_processing_charge: No
author:
- first_name: Andrea
full_name: Stöllner, Andrea
id: 4bdcf7f6-eb97-11eb-a6c2-9981bbdc3bed
last_name: Stöllner
orcid: 0000-0002-0464-8440
- first_name: Isaac C
full_name: Lenton, Isaac C
id: a550210f-223c-11ec-8182-e2d45e817efb
last_name: Lenton
orcid: 0000-0002-5010-6984
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
citation:
ama: 'Stöllner A, Lenton IC, Muller CJ, Waitukaitis SR. Measuring spontaneous charging
of single aerosol particles. In: EGU General Assembly 2023. European Geosciences
Union; 2023. doi:10.5194/egusphere-egu23-6166'
apa: 'Stöllner, A., Lenton, I. C., Muller, C. J., & Waitukaitis, S. R. (2023).
Measuring spontaneous charging of single aerosol particles. In EGU General
Assembly 2023. Vienna, Austria & Virtual: European Geosciences Union.
https://doi.org/10.5194/egusphere-egu23-6166'
chicago: Stöllner, Andrea, Isaac C Lenton, Caroline J Muller, and Scott R Waitukaitis.
“Measuring Spontaneous Charging of Single Aerosol Particles.” In EGU General
Assembly 2023. European Geosciences Union, 2023. https://doi.org/10.5194/egusphere-egu23-6166.
ieee: A. Stöllner, I. C. Lenton, C. J. Muller, and S. R. Waitukaitis, “Measuring
spontaneous charging of single aerosol particles,” in EGU General Assembly
2023, Vienna, Austria & Virtual, 2023.
ista: Stöllner A, Lenton IC, Muller CJ, Waitukaitis SR. 2023. Measuring spontaneous
charging of single aerosol particles. EGU General Assembly 2023. EGU General Assembly,
6166.
mla: Stöllner, Andrea, et al. “Measuring Spontaneous Charging of Single Aerosol
Particles.” EGU General Assembly 2023, 6166, European Geosciences Union,
2023, doi:10.5194/egusphere-egu23-6166.
short: A. Stöllner, I.C. Lenton, C.J. Muller, S.R. Waitukaitis, in:, EGU General
Assembly 2023, European Geosciences Union, 2023.
conference:
end_date: 2023-04-28
location: Vienna, Austria & Virtual
name: EGU General Assembly
start_date: 2023-04-23
date_created: 2024-01-22T12:09:07Z
date_published: 2023-04-23T00:00:00Z
date_updated: 2024-01-24T11:21:42Z
day: '23'
ddc:
- '530'
department:
- _id: CaMu
- _id: ScWa
doi: 10.5194/egusphere-egu23-6166
ec_funded: 1
file:
- access_level: open_access
checksum: 8d6ddbb359e584b156f991f00196d86b
content_type: application/pdf
creator: dernst
date_created: 2024-01-23T13:00:26Z
date_updated: 2024-01-23T13:00:26Z
file_id: '14880'
file_name: 2023_EGU_Stoellner.pdf
file_size: 419736
relation: main_file
success: 1
file_date_updated: 2024-01-23T13:00:26Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 0aa60e99-070f-11eb-9043-a6de6bdc3afa
call_identifier: H2020
grant_number: '949120'
name: 'Tribocharge: a multi-scale approach to an enduring problem in physics'
publication: EGU General Assembly 2023
publication_status: published
publisher: European Geosciences Union
status: public
title: Measuring spontaneous charging of single aerosol particles
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14865'
article_number: EGU23-4968
article_processing_charge: No
author:
- first_name: Yi-Ling
full_name: Hwong, Yi-Ling
id: 1217aa61-4dd1-11ec-9ac3-f2ba3f17ee22
last_name: Hwong
orcid: 0000-0001-9281-3479
- first_name: Maxime
full_name: Colin, Maxime
last_name: Colin
- first_name: Philipp
full_name: Aglas, Philipp
id: 02eace56-97fc-11ee-b81a-f0939ca85a77
last_name: Aglas
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Steven
full_name: Sherwood, Steven
last_name: Sherwood
citation:
ama: 'Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood S. Evaluating memory properties
in convection schemes using idealised tests. In: EGU General Assembly 2023.
European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-4968'
apa: 'Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., & Sherwood, S. (2023).
Evaluating memory properties in convection schemes using idealised tests. In EGU
General Assembly 2023. Vienna, Austria & Virtual: European Geosciences
Union. https://doi.org/10.5194/egusphere-egu23-4968'
chicago: Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven
Sherwood. “Evaluating Memory Properties in Convection Schemes Using Idealised
Tests.” In EGU General Assembly 2023. European Geosciences Union, 2023.
https://doi.org/10.5194/egusphere-egu23-4968.
ieee: Y.-L. Hwong, M. Colin, P. Aglas, C. J. Muller, and S. Sherwood, “Evaluating
memory properties in convection schemes using idealised tests,” in EGU General
Assembly 2023, Vienna, Austria & Virtual, 2023.
ista: Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood S. 2023. Evaluating memory
properties in convection schemes using idealised tests. EGU General Assembly 2023.
EGU General Assembly, EGU23-4968.
mla: Hwong, Yi-Ling, et al. “Evaluating Memory Properties in Convection Schemes
Using Idealised Tests.” EGU General Assembly 2023, EGU23-4968, European
Geosciences Union, 2023, doi:10.5194/egusphere-egu23-4968.
short: Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S. Sherwood, in:, EGU General
Assembly 2023, European Geosciences Union, 2023.
conference:
end_date: 2023-04-28
location: Vienna, Austria & Virtual
name: EGU General Assembly
start_date: 2023-04-23
date_created: 2024-01-22T12:10:32Z
date_published: 2023-04-23T00:00:00Z
date_updated: 2024-02-05T08:49:49Z
day: '23'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.5194/egusphere-egu23-4968
file:
- access_level: open_access
checksum: 628a27caff437855ab320be46b9e8dcc
content_type: application/pdf
creator: dernst
date_created: 2024-02-05T08:48:41Z
date_updated: 2024-02-05T08:48:41Z
file_id: '14936'
file_name: 2023_EGU_Hwong.pdf
file_size: 317541
relation: main_file
success: 1
file_date_updated: 2024-02-05T08:48:41Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
publication: EGU General Assembly 2023
publication_status: published
publisher: European Geosciences Union
status: public
title: Evaluating memory properties in convection schemes using idealised tests
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14866'
article_number: EGU23-15870
article_processing_charge: No
author:
- first_name: Sophie
full_name: Abramian, Sophie
last_name: Abramian
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Camille
full_name: Risi, Camille
last_name: Risi
citation:
ama: 'Abramian S, Muller CJ, Risi C. Extreme precipitation in tropical squall lines.
In: EGU General Assembly 2023. European Geosciences Union; 2023. doi:10.5194/egusphere-egu23-15870'
apa: 'Abramian, S., Muller, C. J., & Risi, C. (2023). Extreme precipitation
in tropical squall lines. In EGU General Assembly 2023. Vienna, Austria
& Virtual: European Geosciences Union. https://doi.org/10.5194/egusphere-egu23-15870'
chicago: Abramian, Sophie, Caroline J Muller, and Camille Risi. “Extreme Precipitation
in Tropical Squall Lines.” In EGU General Assembly 2023. European Geosciences
Union, 2023. https://doi.org/10.5194/egusphere-egu23-15870.
ieee: S. Abramian, C. J. Muller, and C. Risi, “Extreme precipitation in tropical
squall lines,” in EGU General Assembly 2023, Vienna, Austria & Virtual,
2023.
ista: Abramian S, Muller CJ, Risi C. 2023. Extreme precipitation in tropical squall
lines. EGU General Assembly 2023. EGU General Assembly, EGU23-15870.
mla: Abramian, Sophie, et al. “Extreme Precipitation in Tropical Squall Lines.”
EGU General Assembly 2023, EGU23-15870, European Geosciences Union, 2023,
doi:10.5194/egusphere-egu23-15870.
short: S. Abramian, C.J. Muller, C. Risi, in:, EGU General Assembly 2023, European
Geosciences Union, 2023.
conference:
end_date: 2023-04-28
location: Vienna, Austria & Virtual
name: EGU General Assembly
start_date: 2023-04-23
date_created: 2024-01-22T12:10:52Z
date_published: 2023-04-23T00:00:00Z
date_updated: 2024-02-05T08:13:12Z
day: '23'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.5194/egusphere-egu23-15870
file:
- access_level: open_access
checksum: 8cd5bb8bf3d48ceefb395b6875819147
content_type: application/pdf
creator: dernst
date_created: 2024-02-05T08:10:43Z
date_updated: 2024-02-05T08:10:43Z
file_id: '14935'
file_name: 2023_EGU_Abramian.pdf
file_size: 294690
relation: main_file
success: 1
file_date_updated: 2024-02-05T08:10:43Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
publication: EGU General Assembly 2023
publication_status: published
publisher: European Geosciences Union
status: public
title: Extreme precipitation in tropical squall lines
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '14991'
abstract:
- lang: eng
text: This repository contains the data, scripts, WRF codes and files required to
reproduce the results of the manuscript "Assessing Memory in Convection Schemes
Using Idealized Tests" submitted to the Journal of Advances in Modeling Earth
Systems (JAMES).
article_processing_charge: No
author:
- first_name: Yi-Ling
full_name: Hwong, Yi-Ling
id: 1217aa61-4dd1-11ec-9ac3-f2ba3f17ee22
last_name: Hwong
orcid: 0000-0001-9281-3479
- first_name: Maxime
full_name: Colin, Maxime
last_name: Colin
- first_name: Philipp
full_name: Aglas, Philipp
id: 02eace56-97fc-11ee-b81a-f0939ca85a77
last_name: Aglas
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Steven C.
full_name: Sherwood, Steven C.
last_name: Sherwood
citation:
ama: Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood SC. Data-assessing memory
in convection schemes using idealized tests. 2023. doi:10.5281/ZENODO.7757041
apa: Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., & Sherwood, S. C. (2023).
Data-assessing memory in convection schemes using idealized tests. Zenodo. https://doi.org/10.5281/ZENODO.7757041
chicago: Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven
C. Sherwood. “Data-Assessing Memory in Convection Schemes Using Idealized Tests.”
Zenodo, 2023. https://doi.org/10.5281/ZENODO.7757041.
ieee: Y.-L. Hwong, M. Colin, P. Aglas, C. J. Muller, and S. C. Sherwood, “Data-assessing
memory in convection schemes using idealized tests.” Zenodo, 2023.
ista: Hwong Y-L, Colin M, Aglas P, Muller CJ, Sherwood SC. 2023. Data-assessing
memory in convection schemes using idealized tests, Zenodo, 10.5281/ZENODO.7757041.
mla: Hwong, Yi-Ling, et al. Data-Assessing Memory in Convection Schemes Using
Idealized Tests. Zenodo, 2023, doi:10.5281/ZENODO.7757041.
short: Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, (2023).
date_created: 2024-02-14T14:37:57Z
date_published: 2023-06-23T00:00:00Z
date_updated: 2024-02-27T07:26:31Z
day: '23'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.5281/ZENODO.7757041
ec_funded: 1
has_accepted_license: '1'
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.7757041
month: '06'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publisher: Zenodo
related_material:
record:
- id: '14654'
relation: used_in_publication
status: public
status: public
title: Data-assessing memory in convection schemes using idealized tests
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '13256'
abstract:
- lang: eng
text: The El Niño-Southern Oscillation (ENSO) and the Indian summer monsoon (ISM,
or monsoon) are two giants of tropical climate. Here we assess the future evolution
of the ENSO-monsoon teleconnection in climate simulations with idealized forcing
of CO2 increment at a rate of 1% year-1 starting from a present-day condition
(367 p.p.m.) until quadrupling. We find a monotonous weakening of the ENSO-monsoon
teleconnection with the increase in CO2. Increased co-occurrences of El Niño and
positive Indian Ocean Dipoles (pIODs) in a warmer climate weaken the teleconnection.
Co-occurrences of El Niño and pIOD are attributable to mean sea surface temperature
(SST) warming that resembles a pIOD-type warming pattern in the Indian Ocean and
an El Niño-type warming in the Pacific. Since ENSO is a critical precursor of
the strength of the Indian monsoon, a weakening of this relation may mean a less
predictable Indian monsoon in a warmer climate.
acknowledgement: This work was supported by National Research Foundation of Korea
(NRF) grants funded by the Korean government (MSIT) (NRF-2018R1A5A1024958, RS-2023-00208000).
Model simulation and data transfer were supported by the National Supercomputing
Center with supercomputing resources including technical support (KSC-2019-CHA-0005),
the National Center for Meteorological Supercomputer of the Korea Meteorological
Administration (KMA), and by the Korea Research Environment Open NETwork (KREONET),
respectively. We sincerely thank Dr. Jongsoo Shin of Pohang University of Science
and Technology, Pohang, South Korea for the model simulations.
article_number: '82'
article_processing_charge: Yes
article_type: original
author:
- first_name: Bidyut B
full_name: Goswami, Bidyut B
id: 3a4ac09c-6d61-11ec-bf66-884cde66b64b
last_name: Goswami
- first_name: Soon Il
full_name: An, Soon Il
last_name: An
citation:
ama: GOSWAMI BB, An SI. An assessment of the ENSO-monsoon teleconnection in a warming
climate. npj Climate and Atmospheric Science. 2023;6. doi:10.1038/s41612-023-00411-5
apa: GOSWAMI, B. B., & An, S. I. (2023). An assessment of the ENSO-monsoon teleconnection
in a warming climate. Npj Climate and Atmospheric Science. Springer Nature.
https://doi.org/10.1038/s41612-023-00411-5
chicago: GOSWAMI, BIDYUT B, and Soon Il An. “An Assessment of the ENSO-Monsoon Teleconnection
in a Warming Climate.” Npj Climate and Atmospheric Science. Springer Nature,
2023. https://doi.org/10.1038/s41612-023-00411-5.
ieee: B. B. GOSWAMI and S. I. An, “An assessment of the ENSO-monsoon teleconnection
in a warming climate,” npj Climate and Atmospheric Science, vol. 6. Springer
Nature, 2023.
ista: GOSWAMI BB, An SI. 2023. An assessment of the ENSO-monsoon teleconnection
in a warming climate. npj Climate and Atmospheric Science. 6, 82.
mla: GOSWAMI, BIDYUT B., and Soon Il An. “An Assessment of the ENSO-Monsoon Teleconnection
in a Warming Climate.” Npj Climate and Atmospheric Science, vol. 6, 82,
Springer Nature, 2023, doi:10.1038/s41612-023-00411-5.
short: B.B. GOSWAMI, S.I. An, Npj Climate and Atmospheric Science 6 (2023).
date_created: 2023-07-23T22:01:10Z
date_published: 2023-07-08T00:00:00Z
date_updated: 2023-08-02T06:38:07Z
day: '08'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1038/s41612-023-00411-5
external_id:
isi:
- '001024920300002'
file:
- access_level: open_access
checksum: e9967d436a83b8ffcc6f58782e1f7500
content_type: application/pdf
creator: dernst
date_created: 2023-07-31T08:00:01Z
date_updated: 2023-07-31T08:00:01Z
file_id: '13326'
file_name: 2023_npjclimate_Goswami.pdf
file_size: 1750712
relation: main_file
success: 1
file_date_updated: 2023-07-31T08:00:01Z
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: npj Climate and Atmospheric Science
publication_identifier:
eissn:
- 2397-3722
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: An assessment of the ENSO-monsoon teleconnection in a warming climate
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 6
year: '2023'
...
---
_id: '12791'
abstract:
- lang: eng
text: We investigate the capabilities of Physics-Informed Neural Networks (PINNs)
to reconstruct turbulent Rayleigh–Bénard flows using only temperature information.
We perform a quantitative analysis of the quality of the reconstructions at various
amounts of low-passed-filtered information and turbulent intensities. We compare
our results with those obtained via nudging, a classical equation-informed data
assimilation technique. At low Rayleigh numbers, PINNs are able to reconstruct
with high precision, comparable to the one achieved with nudging. At high Rayleigh
numbers, PINNs outperform nudging and are able to achieve satisfactory reconstruction
of the velocity fields only when data for temperature is provided with high spatial
and temporal density. When data becomes sparse, the PINNs performance worsens,
not only in a point-to-point error sense but also, and contrary to nudging, in
a statistical sense, as can be seen in the probability density functions and energy
spectra.
acknowledgement: This project has received partial funding from the European Research
Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme
(Grant Agreement No. 882340))
article_number: '16'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Patricio
full_name: Clark Di Leoni, Patricio
last_name: Clark Di Leoni
- first_name: Lokahith N
full_name: Agasthya, Lokahith N
id: cd100965-0804-11ed-9c55-f4878ff4e877
last_name: Agasthya
- first_name: Michele
full_name: Buzzicotti, Michele
last_name: Buzzicotti
- first_name: Luca
full_name: Biferale, Luca
last_name: Biferale
citation:
ama: Clark Di Leoni P, Agasthya LN, Buzzicotti M, Biferale L. Reconstructing Rayleigh–Bénard
flows out of temperature-only measurements using Physics-Informed Neural Networks.
The European Physical Journal E. 2023;46(3). doi:10.1140/epje/s10189-023-00276-9
apa: Clark Di Leoni, P., Agasthya, L. N., Buzzicotti, M., & Biferale, L. (2023).
Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using
Physics-Informed Neural Networks. The European Physical Journal E. Springer
Nature. https://doi.org/10.1140/epje/s10189-023-00276-9
chicago: Clark Di Leoni, Patricio, Lokahith N Agasthya, Michele Buzzicotti, and
Luca Biferale. “Reconstructing Rayleigh–Bénard Flows out of Temperature-Only Measurements
Using Physics-Informed Neural Networks.” The European Physical Journal E.
Springer Nature, 2023. https://doi.org/10.1140/epje/s10189-023-00276-9.
ieee: P. Clark Di Leoni, L. N. Agasthya, M. Buzzicotti, and L. Biferale, “Reconstructing
Rayleigh–Bénard flows out of temperature-only measurements using Physics-Informed
Neural Networks,” The European Physical Journal E, vol. 46, no. 3. Springer
Nature, 2023.
ista: Clark Di Leoni P, Agasthya LN, Buzzicotti M, Biferale L. 2023. Reconstructing
Rayleigh–Bénard flows out of temperature-only measurements using Physics-Informed
Neural Networks. The European Physical Journal E. 46(3), 16.
mla: Clark Di Leoni, Patricio, et al. “Reconstructing Rayleigh–Bénard Flows out
of Temperature-Only Measurements Using Physics-Informed Neural Networks.” The
European Physical Journal E, vol. 46, no. 3, 16, Springer Nature, 2023, doi:10.1140/epje/s10189-023-00276-9.
short: P. Clark Di Leoni, L.N. Agasthya, M. Buzzicotti, L. Biferale, The European
Physical Journal E 46 (2023).
date_created: 2023-04-02T22:01:11Z
date_published: 2023-03-20T00:00:00Z
date_updated: 2023-08-01T14:03:47Z
day: '20'
department:
- _id: CaMu
doi: 10.1140/epje/s10189-023-00276-9
external_id:
arxiv:
- '2301.07769'
isi:
- '000956387200001'
intvolume: ' 46'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2301.07769'
month: '03'
oa: 1
oa_version: Preprint
publication: The European Physical Journal E
publication_identifier:
eissn:
- 1292-895X
issn:
- 1292-8941
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using
Physics-Informed Neural Networks
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 46
year: '2023'
...
---
_id: '10656'
abstract:
- lang: eng
text: Idealized simulations of the tropical atmosphere have predicted that clouds
can spontaneously clump together in space, despite perfectly homogeneous settings.
This phenomenon has been called self-aggregation, and it results in a state where
a moist cloudy region with intense deep convective storms is surrounded by extremely
dry subsiding air devoid of deep clouds. We review here the main findings from
theoretical work and idealized models of this phenomenon, highlighting the physical
processes believed to play a key role in convective self-aggregation. We also
review the growing literature on the importance and implications of this phenomenon
for the tropical atmosphere, notably, for the hydrological cycle and for precipitation
extremes, in our current and in a warming climate.
acknowledgement: C.M. gratefully acknowledges funding from the European Research Council
(ERC) under the European Union's Horizon 2020 research and innovation program (Project
CLUSTER, grant agreement 805041). She also thanks Grand Équipement National de Calcul
Intensif (GENCI), France, for providing access to their computing platforms at Très
Grand Centre de Calcul (TGCC). J.O.H. gratefully acknowledges funding from the Villum
Foundation (grant 13168), the ERC under the Horizon 2020 research and innovation
program (grant 771859), and the Novo Nordisk Foundation's Interdisciplinary Synergy
Program (grant NNF19OC0057374). G.C. gratefully acknowledges the support of the
transregional collaborative research center (SFB/TRR 165) “Waves to Weather” (http://www.wavestoweather.de)
funded by the German Research Foundation (DFG). D.Y. is supported by a Packard Fellowship
in Science and Engineering, the France–Berkeley Fund, Laboratory Directed Research
and Development (LDRD) funding from the Lawrence Berkeley National Laboratory, and
the US Department of Energy, Office of Science, Office of Biological and Environmental
Research, Climate and Environmental Sciences Division, Regional and Global Climate
Modeling Program under award DE-AC02-05CH11231.
article_processing_charge: No
article_type: original
author:
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Da
full_name: Yang, Da
last_name: Yang
- first_name: George
full_name: Craig, George
last_name: Craig
- first_name: Timothy
full_name: Cronin, Timothy
last_name: Cronin
- first_name: Benjamin
full_name: Fildier, Benjamin
last_name: Fildier
- first_name: Jan O.
full_name: Haerter, Jan O.
last_name: Haerter
- first_name: Cathy
full_name: Hohenegger, Cathy
last_name: Hohenegger
- first_name: Brian
full_name: Mapes, Brian
last_name: Mapes
- first_name: David
full_name: Randall, David
last_name: Randall
- first_name: Sara
full_name: Shamekh, Sara
last_name: Shamekh
- first_name: Steven C.
full_name: Sherwood, Steven C.
last_name: Sherwood
citation:
ama: Muller CJ, Yang D, Craig G, et al. Spontaneous aggregation of convective storms.
Annual Review of Fluid Mechanics. 2022;54:133-157. doi:10.1146/annurev-fluid-022421-011319
apa: Muller, C. J., Yang, D., Craig, G., Cronin, T., Fildier, B., Haerter, J. O.,
… Sherwood, S. C. (2022). Spontaneous aggregation of convective storms. Annual
Review of Fluid Mechanics. Annual Reviews. https://doi.org/10.1146/annurev-fluid-022421-011319
chicago: Muller, Caroline J, Da Yang, George Craig, Timothy Cronin, Benjamin Fildier,
Jan O. Haerter, Cathy Hohenegger, et al. “Spontaneous Aggregation of Convective
Storms.” Annual Review of Fluid Mechanics. Annual Reviews, 2022. https://doi.org/10.1146/annurev-fluid-022421-011319.
ieee: C. J. Muller et al., “Spontaneous aggregation of convective storms,”
Annual Review of Fluid Mechanics, vol. 54. Annual Reviews, pp. 133–157,
2022.
ista: Muller CJ, Yang D, Craig G, Cronin T, Fildier B, Haerter JO, Hohenegger C,
Mapes B, Randall D, Shamekh S, Sherwood SC. 2022. Spontaneous aggregation of convective
storms. Annual Review of Fluid Mechanics. 54, 133–157.
mla: Muller, Caroline J., et al. “Spontaneous Aggregation of Convective Storms.”
Annual Review of Fluid Mechanics, vol. 54, Annual Reviews, 2022, pp. 133–57,
doi:10.1146/annurev-fluid-022421-011319.
short: C.J. Muller, D. Yang, G. Craig, T. Cronin, B. Fildier, J.O. Haerter, C. Hohenegger,
B. Mapes, D. Randall, S. Shamekh, S.C. Sherwood, Annual Review of Fluid Mechanics
54 (2022) 133–157.
date_created: 2022-01-23T23:01:29Z
date_published: 2022-01-01T00:00:00Z
date_updated: 2023-10-03T10:51:07Z
day: '01'
department:
- _id: CaMu
doi: 10.1146/annurev-fluid-022421-011319
ec_funded: 1
external_id:
isi:
- '000794152800006'
intvolume: ' 54'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1146/annurev-fluid-022421-011319
month: '01'
oa: 1
oa_version: Published Version
page: 133-157
project:
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
call_identifier: H2020
grant_number: '805041'
name: organization of CLoUdS, and implications of Tropical cyclones and for the
Energetics of the tropics, in current and waRming climate
publication: Annual Review of Fluid Mechanics
publication_identifier:
eissn:
- 1545-4479
issn:
- 0066-4189
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spontaneous aggregation of convective storms
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2022'
...
---
_id: '10653'
abstract:
- lang: eng
text: Squall lines are known to be the consequence of the interaction of low-level
shear with cold pools associated with convective downdrafts. Also, as the magnitude
of the shear increases beyond a critical shear, squall lines tend to orient themselves.
The existing literature suggests that this orientation reduces incoming wind shear
to the squall line, and maintains equilibrium between wind shear and cold pool
spreading. Although this theory is widely accepted, very few quantitative studies
have been conducted on supercritical regime especially. Here, we test this hypothesis
with tropical squall lines obtained by imposing a vertical wind shear in cloud
resolving simulations in radiative convective equilibrium. In the sub-critical
regime, squall lines are perpendicular to the shear. In the super-critical regime,
their orientation maintain the equilibrium, supporting existing theories. We also
find that as shear increases, cold pools become more intense. However, this intensification
has little impact on squall line orientation.
acknowledgement: The authors gratefully acknowledge funding from the European Research
Council (ERC) under the European Union's Horizon 2020 research and innovation program
(Project CLUSTER, Grant Agreement No. 805041), and from the PhD fellowship of Ecole
Normale Supérieure de Paris-Saclay. Two supplementary movies are also provided showing
the angle detection method and the squall line of the Usfc = 10 m s−1 simulation.
article_number: e2021GL095184
article_processing_charge: No
article_type: original
author:
- first_name: Sophie
full_name: Abramian, Sophie
last_name: Abramian
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
- first_name: Camille
full_name: Risi, Camille
last_name: Risi
citation:
ama: Abramian S, Muller CJ, Risi C. Shear-convection interactions and orientation
of tropical squall lines. Geophysical Research Letters. 2022;49(1). doi:10.1029/2021GL095184
apa: Abramian, S., Muller, C. J., & Risi, C. (2022). Shear-convection interactions
and orientation of tropical squall lines. Geophysical Research Letters.
Wiley. https://doi.org/10.1029/2021GL095184
chicago: Abramian, Sophie, Caroline J Muller, and Camille Risi. “Shear-Convection
Interactions and Orientation of Tropical Squall Lines.” Geophysical Research
Letters. Wiley, 2022. https://doi.org/10.1029/2021GL095184.
ieee: S. Abramian, C. J. Muller, and C. Risi, “Shear-convection interactions and
orientation of tropical squall lines,” Geophysical Research Letters, vol.
49, no. 1. Wiley, 2022.
ista: Abramian S, Muller CJ, Risi C. 2022. Shear-convection interactions and orientation
of tropical squall lines. Geophysical Research Letters. 49(1), e2021GL095184.
mla: Abramian, Sophie, et al. “Shear-Convection Interactions and Orientation of
Tropical Squall Lines.” Geophysical Research Letters, vol. 49, no. 1, e2021GL095184,
Wiley, 2022, doi:10.1029/2021GL095184.
short: S. Abramian, C.J. Muller, C. Risi, Geophysical Research Letters 49 (2022).
date_created: 2022-01-23T23:01:27Z
date_published: 2022-01-16T00:00:00Z
date_updated: 2023-08-02T14:00:17Z
day: '16'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2021GL095184
ec_funded: 1
external_id:
isi:
- '000743989800040'
file:
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content_type: application/pdf
creator: cchlebak
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date_updated: 2022-01-24T12:14:41Z
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file_size: 1117408
relation: main_file
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file_date_updated: 2022-01-24T12:14:41Z
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intvolume: ' 49'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
call_identifier: H2020
grant_number: '805041'
name: organization of CLoUdS, and implications of Tropical cyclones and for the
Energetics of the tropics, in current and waRming climate
publication: Geophysical Research Letters
publication_identifier:
eissn:
- 1944-8007
issn:
- 0094-8276
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
link:
- relation: earlier_version
url: https://doi.org/10.1002/essoar.10507697.1
scopus_import: '1'
status: public
title: Shear-convection interactions and orientation of tropical squall lines
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 49
year: '2022'
...
---
_id: '12107'
abstract:
- lang: eng
text: The sensitivity of coarse-grained daily extreme precipitation to sea surface
temperature is analyzed using satellite precipitation estimates over the 300–302.5
K range. A theoretical scaling is proposed, linking changes in coarse-grained
precipitation to changes in fine-scale hourly precipitation area fraction and
changes in conditional fine-scale precipitation rates. The analysis reveals that
the extreme coarse-grained precipitation scaling with temperature (∼7%/K) is dominated
by the fine-scale precipitating fraction scaling (∼6.5%/K) when using a 3 mm/h
fine-scale threshold to delineate the precipitating fraction. These results are
shown to be robust to the selection of the precipitation product and to the percentile
used to characterize the extreme. This new coarse-grained scaling is further related
to the well-known scaling for fine-scale precipitation extremes, and suggests
a compensation between thermodynamic and dynamic contributions or that both contributions
are small with respect to that of fractional coverage. These results suggest that
processes responsible for the changes in fractional coverage are to be accounted
for to assess the sensitivity of coarse-grained extreme daily precipitation to
surface temperature.
acknowledgement: "We thank S. Cloché for her support with the handling of these various
data sets. This study benefited from the IPSL mesocenter ESPRI facility which is
supported by CNRS, UPMC, Labex L-IPSL, CNES and Ecole Polytechnique. We thank Rômulo
A. Jucá Oliveira and Thomas\r\nFiolleau for helpful discussions on satellite data
and precipitation. The authors acknowledge the CNES and CNRS support under the Megha-Tropiques
program. C.M. gratefully acknowledges\r\nfunding from the European Research Council
(ERC) under the European Union's Horizon 2020 research and innovation programme
(Project CLUSTER, Grant agreement 805041). We further\r\nthank the reviewers for
their insightful comments that improved the paper."
article_number: e2022GL100624
article_processing_charge: No
article_type: letter_note
author:
- first_name: Rémy
full_name: Roca, Rémy
last_name: Roca
- first_name: Victorien
full_name: De Meyer, Victorien
last_name: De Meyer
- first_name: Caroline J
full_name: Muller, Caroline J
id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
last_name: Muller
orcid: 0000-0001-5836-5350
citation:
ama: Roca R, De Meyer V, Muller CJ. Precipitating fraction, not intensity, explains
extreme coarse-grained precipitation Clausius-Clapeyron scaling with sea surface
temperature over tropical oceans. Geophysical Research Letters. 2022;49(24).
doi:10.1029/2022GL100624
apa: Roca, R., De Meyer, V., & Muller, C. J. (2022). Precipitating fraction,
not intensity, explains extreme coarse-grained precipitation Clausius-Clapeyron
scaling with sea surface temperature over tropical oceans. Geophysical Research
Letters. Wiley. https://doi.org/10.1029/2022GL100624
chicago: Roca, Rémy, Victorien De Meyer, and Caroline J Muller. “Precipitating Fraction,
Not Intensity, Explains Extreme Coarse-Grained Precipitation Clausius-Clapeyron
Scaling with Sea Surface Temperature over Tropical Oceans.” Geophysical Research
Letters. Wiley, 2022. https://doi.org/10.1029/2022GL100624.
ieee: R. Roca, V. De Meyer, and C. J. Muller, “Precipitating fraction, not intensity,
explains extreme coarse-grained precipitation Clausius-Clapeyron scaling with
sea surface temperature over tropical oceans,” Geophysical Research Letters,
vol. 49, no. 24. Wiley, 2022.
ista: Roca R, De Meyer V, Muller CJ. 2022. Precipitating fraction, not intensity,
explains extreme coarse-grained precipitation Clausius-Clapeyron scaling with
sea surface temperature over tropical oceans. Geophysical Research Letters. 49(24),
e2022GL100624.
mla: Roca, Rémy, et al. “Precipitating Fraction, Not Intensity, Explains Extreme
Coarse-Grained Precipitation Clausius-Clapeyron Scaling with Sea Surface Temperature
over Tropical Oceans.” Geophysical Research Letters, vol. 49, no. 24, e2022GL100624,
Wiley, 2022, doi:10.1029/2022GL100624.
short: R. Roca, V. De Meyer, C.J. Muller, Geophysical Research Letters 49 (2022).
date_created: 2023-01-08T23:00:53Z
date_published: 2022-12-28T00:00:00Z
date_updated: 2023-08-03T14:10:27Z
day: '28'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2022GL100624
external_id:
isi:
- '000924587900001'
file:
- access_level: open_access
checksum: 2c6325cea8938adeea7e3a6f5c2ab64e
content_type: application/pdf
creator: dernst
date_created: 2023-01-20T10:52:31Z
date_updated: 2023-01-20T10:52:31Z
file_id: '12326'
file_name: 2022_GeophysicalResearchLetters_Roca.pdf
file_size: 875379
relation: main_file
success: 1
file_date_updated: 2023-01-20T10:52:31Z
has_accepted_license: '1'
intvolume: ' 49'
isi: 1
issue: '24'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: Geophysical Research Letters
publication_identifier:
eissn:
- 1944-8007
issn:
- 0094-8276
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Precipitating fraction, not intensity, explains extreme coarse-grained precipitation
Clausius-Clapeyron scaling with sea surface temperature over tropical oceans
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 49
year: '2022'
...