---
_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:
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checksum: 4d060b293da3d203de8769e398edf711
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date_created: 2023-12-11T08:08:44Z
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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
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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
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---
_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
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full_name: Muller, Caroline J
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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).
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