---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20098'
abstract:
- lang: eng
  text: Climate change is causing wildfires to become more frequent and intense. While
    predicting burned areas using bioclimatic and anthropogenic factors is an active
    research area, few studies have examined what drives the economic damages of wildfires.
    Our study aims to fill this gap by analyzing key factors influencing global economic
    wildfire damages and projecting future damages under three shared socioeconomic
    pathways (SSPs). We apply regression analyses to identify significant predictors
    of economic wildfire damages at country levels and use the fitted model to project
    future damages under SSP126, SSP245, and SSP370. Results show that the human vulnerability
    index (HVI), reflecting socioeconomic conditions, is the strongest predictor of
    historical wildfire damages, followed by water vapor pressure deficit during the
    fire season and population density around forested areas. We found high population
    density to be associated with lower damages. These findings contrast with studies
    of burned areas, where climate factors are more dominant. Our model projects that
    by 2070, average global economic wildfire damages will be three times higher under
    SSP370 than SSP126. Our model also shows that following SSP126 not only reduces
    wildfire damages but also lessens the inequalities in damage distribution across
    countries. This pathway’s dual focus on equitable socioeconomic progress and climate
    action potentially enhances a country’s resilience that helps mitigate wildfire
    damages. Our analyses also indicate that strong socioeconomic development can
    offset wildfire damages associated with climate hazards, although this is less
    certain under SSP370. SSP126’s integrated approach improves both socioeconomic
    conditions and limits global warming, providing substantial benefits to less developed
    countries while still reducing damages in developed nations, despite their already
    low HVI scores. Our work complements existing research on burned areas and underscores
    the importance of sustainable development and international collaboration in reducing
    the economic damages of wildfires.
acknowledgement: We thank Marina Andrijevic, Giacomo Falchetta, Samuel Lüthi, Caroline
  Muller, Carl Schleussner, and Adriano Vinca for providing useful ideas and feedback
  for this work. YLH is supported by funding from the European Union’s Horizon 2020
  research and innovation programme under the Marie Skłodowska‐Curie Grant No. 101034413.
  EB, MW, and YQ are supported by the European Union’s Horizon Europe research and
  innovation programme under Grant Agreement No. 101081369 (SPARCCLE). We also thank
  the two anonymous reviewers for providing helpful feedback that greatly improved
  this manuscript.
article_number: '035005'
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: Edward
  full_name: Byers, Edward
  last_name: Byers
- first_name: Michaela
  full_name: Werning, Michaela
  last_name: Werning
- first_name: Yann
  full_name: Quilcaille, Yann
  last_name: Quilcaille
citation:
  ama: 'Hwong Y-L, Byers E, Werning M, Quilcaille Y. Sustainable development key to
    limiting climate change-driven wildfire damages. <i>Environmental Research: Climate</i>.
    2025;4(3). doi:<a href="https://doi.org/10.1088/2752-5295/adec11">10.1088/2752-5295/adec11</a>'
  apa: 'Hwong, Y.-L., Byers, E., Werning, M., &#38; Quilcaille, Y. (2025). Sustainable
    development key to limiting climate change-driven wildfire damages. <i>Environmental
    Research: Climate</i>. IOP Publishing. <a href="https://doi.org/10.1088/2752-5295/adec11">https://doi.org/10.1088/2752-5295/adec11</a>'
  chicago: 'Hwong, Yi-Ling, Edward Byers, Michaela Werning, and Yann Quilcaille. “Sustainable
    Development Key to Limiting Climate Change-Driven Wildfire Damages.” <i>Environmental
    Research: Climate</i>. IOP Publishing, 2025. <a href="https://doi.org/10.1088/2752-5295/adec11">https://doi.org/10.1088/2752-5295/adec11</a>.'
  ieee: 'Y.-L. Hwong, E. Byers, M. Werning, and Y. Quilcaille, “Sustainable development
    key to limiting climate change-driven wildfire damages,” <i>Environmental Research:
    Climate</i>, vol. 4, no. 3. IOP Publishing, 2025.'
  ista: 'Hwong Y-L, Byers E, Werning M, Quilcaille Y. 2025. Sustainable development
    key to limiting climate change-driven wildfire damages. Environmental Research:
    Climate. 4(3), 035005.'
  mla: 'Hwong, Yi-Ling, et al. “Sustainable Development Key to Limiting Climate Change-Driven
    Wildfire Damages.” <i>Environmental Research: Climate</i>, vol. 4, no. 3, 035005,
    IOP Publishing, 2025, doi:<a href="https://doi.org/10.1088/2752-5295/adec11">10.1088/2752-5295/adec11</a>.'
  short: 'Y.-L. Hwong, E. Byers, M. Werning, Y. Quilcaille, Environmental Research:
    Climate 4 (2025).'
corr_author: '1'
date_created: 2025-07-31T14:03:16Z
date_published: 2025-07-15T00:00:00Z
date_updated: 2025-08-04T07:46:33Z
day: '15'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1088/2752-5295/adec11
ec_funded: 1
file:
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has_accepted_license: '1'
intvolume: '         4'
issue: '3'
language:
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license: https://creativecommons.org/licenses/by/4.0/
month: '07'
oa: 1
oa_version: Published Version
project:
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publication: 'Environmental Research: Climate'
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  - 2752-5295
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
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title: Sustainable development key to limiting climate change-driven wildfire damages
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abstract:
- lang: eng
  text: 'This repository contains the data and scripts required to reproduce the results
    of the manuscript "Sustainable Development Key to Limiting Climate Change-Driven
    Wildfire Damages" submitted to the Environmental Research Climate Journal (ERCL). '
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: Edward
  full_name: Byers, Edward
  last_name: Byers
- first_name: Michaela
  full_name: Werning, Michaela
  last_name: Werning
- first_name: Yann
  full_name: Quilcaille, Yann
  last_name: Quilcaille
citation:
  ama: Hwong Y-L, Byers E, Werning M, Quilcaille Y. Data - Sustainable Development
    Key to Limiting Climate Change-Driven Wildfire Damages. 2025. doi:<a href="https://doi.org/10.5281/ZENODO.13988679">10.5281/ZENODO.13988679</a>
  apa: Hwong, Y.-L., Byers, E., Werning, M., &#38; Quilcaille, Y. (2025). Data - Sustainable
    Development Key to Limiting Climate Change-Driven Wildfire Damages. Zenodo. <a
    href="https://doi.org/10.5281/ZENODO.13988679">https://doi.org/10.5281/ZENODO.13988679</a>
  chicago: Hwong, Yi-Ling, Edward Byers, Michaela Werning, and Yann Quilcaille. “Data
    - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages.”
    Zenodo, 2025. <a href="https://doi.org/10.5281/ZENODO.13988679">https://doi.org/10.5281/ZENODO.13988679</a>.
  ieee: Y.-L. Hwong, E. Byers, M. Werning, and Y. Quilcaille, “Data - Sustainable
    Development Key to Limiting Climate Change-Driven Wildfire Damages.” Zenodo, 2025.
  ista: Hwong Y-L, Byers E, Werning M, Quilcaille Y. 2025. Data - Sustainable Development
    Key to Limiting Climate Change-Driven Wildfire Damages, Zenodo, <a href="https://doi.org/10.5281/ZENODO.13988679">10.5281/ZENODO.13988679</a>.
  mla: Hwong, Yi-Ling, et al. <i>Data - Sustainable Development Key to Limiting Climate
    Change-Driven Wildfire Damages</i>. Zenodo, 2025, doi:<a href="https://doi.org/10.5281/ZENODO.13988679">10.5281/ZENODO.13988679</a>.
  short: Y.-L. Hwong, E. Byers, M. Werning, Y. Quilcaille, (2025).
corr_author: '1'
date_created: 2025-08-04T07:34:39Z
date_published: 2025-05-21T00:00:00Z
date_updated: 2025-08-04T07:46:33Z
day: '21'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.5281/ZENODO.13988679
ec_funded: 1
has_accepted_license: '1'
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5281/zenodo.15409324
month: '05'
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
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status: public
title: Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire
  Damages
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: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19307'
abstract:
- lang: eng
  text: "This repository contains the data, scripts, SAM codes and files required
    to reproduce the results of the manuscript \"The Unreasonable Efficiency of Total
    Rain Evaporation Removal in Triggering Convective Self-Aggregation\" submitted
    to the Geophysical Research Letters (GRL).\r\n\r\nBrief description of project:
    This project aims to examine the impact of rain evaporation removal or reduction
    in the planetary boundary layer (PBL) on convective self aggregation (CSA). Non-rotating
    radiative-convective equilibrium (RCE) simulations were conducted with the System
    for Atmospheric Modeling (SAM) cloud resolving model. Rain evaporation in the
    lowest 1 km was progressively reduced and the effect on CSA was investigated.
    The physical processes underlying this type of aggregation (referred to in the
    manuscript as no-evaporation CSA, or NE-CSA) were analyzed and described. \r\nThe
    default SAM code base (version 6.10.8) can be downloaded from here: http://rossby.msrc.sunysb.edu/~marat/SAM.html"
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: Caroline J
  full_name: Muller, Caroline J
  id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
  last_name: Muller
  orcid: 0000-0001-5836-5350
citation:
  ama: Hwong Y-L, Muller CJ. Data - The unreasonable efficiency of total rain evaporation
    removal in triggering convective self-aggregation. 2024. doi:<a href="https://doi.org/10.5281/ZENODO.10687169">10.5281/ZENODO.10687169</a>
  apa: Hwong, Y.-L., &#38; Muller, C. J. (2024). Data - The unreasonable efficiency
    of total rain evaporation removal in triggering convective self-aggregation. Zenodo.
    <a href="https://doi.org/10.5281/ZENODO.10687169">https://doi.org/10.5281/ZENODO.10687169</a>
  chicago: Hwong, Yi-Ling, and Caroline J Muller. “Data - The Unreasonable Efficiency
    of Total Rain Evaporation Removal in Triggering Convective Self-Aggregation.”
    Zenodo, 2024. <a href="https://doi.org/10.5281/ZENODO.10687169">https://doi.org/10.5281/ZENODO.10687169</a>.
  ieee: Y.-L. Hwong and C. J. Muller, “Data - The unreasonable efficiency of total
    rain evaporation removal in triggering convective self-aggregation.” Zenodo, 2024.
  ista: Hwong Y-L, Muller CJ. 2024. Data - The unreasonable efficiency of total rain
    evaporation removal in triggering convective self-aggregation, Zenodo, <a href="https://doi.org/10.5281/ZENODO.10687169">10.5281/ZENODO.10687169</a>.
  mla: Hwong, Yi-Ling, and Caroline J. Muller. <i>Data - The Unreasonable Efficiency
    of Total Rain Evaporation Removal in Triggering Convective Self-Aggregation</i>.
    Zenodo, 2024, doi:<a href="https://doi.org/10.5281/ZENODO.10687169">10.5281/ZENODO.10687169</a>.
  short: Y.-L. Hwong, C.J. Muller, (2024).
corr_author: '1'
date_created: 2025-03-07T08:39:40Z
date_published: 2024-02-21T00:00:00Z
date_updated: 2025-09-04T13:16:39Z
day: '21'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.5281/ZENODO.10687169
has_accepted_license: '1'
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5281/zenodo.8369509
month: '02'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
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    relation: used_in_publication
    status: public
status: public
title: Data - The unreasonable efficiency of total rain evaporation removal in triggering
  convective self-aggregation
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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  short: CC BY (4.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
APC_amount: 2940 EUR
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '15186'
abstract:
- lang: eng
  text: The elimination of rain evaporation in the planetary boundary layer (PBL)
    has been found to lead to convective self‐aggregation (CSA) even without radiative
    feedback, but the precise mechanisms underlying this phenomenon remain unclear.
    We conducted cloud‐resolving simulations with two domain sizes and progressively
    reduced rain evaporation in the PBL. Surprisingly, CSA only occurred when rain
    evaporation was almost completely removed. The additional convective heating resulting
    from the reduction of evaporative cooling in the moist patch was found to be the
    trigger, thereafter a dry subsidence intrusion into the PBL in the dry patch takes
    over and sets CSA in motion. Temperature and moisture anomalies oppose each other
    in their buoyancy effects, hence explaining the need for almost total rain evaporation
    removal. We also found radiative cooling and not cold pools to be the leading
    cause for the comparative ease of CSA to take place in the larger domain.
acknowledgement: "YLH is supported by funding from the European Union's Horizon 2020
  research and innovation programme under the Marie Skłodowska-Curie Grant 101034413.
  CM gratefully acknowledges funding from the European Research Council (ERC) under
  the European Union's Horizon 2020 research and innovation program (Project CLUSTER,
  Grant 805041). The authors warmly thank Steven Sherwood, Jiawei Bao, Bidyut Goswami,
  and Martin Janssens for stimulating and helpful discussions. They also thank Christopher
  Holloway and an anonymous reviewer for providing helpful feedback that greatly improved
  this manuscript.\r\n"
article_number: ' e2023GL106523'
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: Caroline J
  full_name: Muller, Caroline J
  id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
  last_name: Muller
  orcid: 0000-0001-5836-5350
citation:
  ama: Hwong Y-L, Muller CJ. The unreasonable efficiency of total rain evaporation
    removal in triggering convective self‐aggregation. <i>Geophysical Research Letters</i>.
    2024;51(6). doi:<a href="https://doi.org/10.1029/2023gl106523">10.1029/2023gl106523</a>
  apa: Hwong, Y.-L., &#38; Muller, C. J. (2024). The unreasonable efficiency of total
    rain evaporation removal in triggering convective self‐aggregation. <i>Geophysical
    Research Letters</i>. Wiley. <a href="https://doi.org/10.1029/2023gl106523">https://doi.org/10.1029/2023gl106523</a>
  chicago: Hwong, Yi-Ling, and Caroline J Muller. “The Unreasonable Efficiency of
    Total Rain Evaporation Removal in Triggering Convective Self‐aggregation.” <i>Geophysical
    Research Letters</i>. Wiley, 2024. <a href="https://doi.org/10.1029/2023gl106523">https://doi.org/10.1029/2023gl106523</a>.
  ieee: Y.-L. Hwong and C. J. Muller, “The unreasonable efficiency of total rain evaporation
    removal in triggering convective self‐aggregation,” <i>Geophysical Research Letters</i>,
    vol. 51, no. 6. Wiley, 2024.
  ista: Hwong Y-L, Muller CJ. 2024. The unreasonable efficiency of total rain evaporation
    removal in triggering convective self‐aggregation. Geophysical Research Letters.
    51(6), e2023GL106523.
  mla: Hwong, Yi-Ling, and Caroline J. Muller. “The Unreasonable Efficiency of Total
    Rain Evaporation Removal in Triggering Convective Self‐aggregation.” <i>Geophysical
    Research Letters</i>, vol. 51, no. 6, e2023GL106523, Wiley, 2024, doi:<a href="https://doi.org/10.1029/2023gl106523">10.1029/2023gl106523</a>.
  short: Y.-L. Hwong, C.J. Muller, Geophysical Research Letters 51 (2024).
corr_author: '1'
date_created: 2024-03-25T10:27:30Z
date_published: 2024-03-19T00:00:00Z
date_updated: 2025-09-04T13:16:39Z
day: '19'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2023gl106523
ec_funded: 1
external_id:
  isi:
  - '001187002300001'
file:
- access_level: open_access
  checksum: eacb011091a503b9e7b748fef639ba4c
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  creator: dernst
  date_created: 2024-03-25T11:28:25Z
  date_updated: 2024-03-25T11:28:25Z
  file_id: '15187'
  file_name: 2024_GeophysResLetters_Hwong.pdf
  file_size: 1280108
  relation: main_file
  success: 1
file_date_updated: 2024-03-25T11:28:25Z
has_accepted_license: '1'
intvolume: '        51'
isi: 1
issue: '6'
keyword:
- General Earth and Planetary Sciences
- Geophysics
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '03'
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'
- _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:
  record:
  - id: '19307'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: The unreasonable efficiency of total rain evaporation removal in triggering
  convective self‐aggregation
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 51
year: '2024'
...
---
_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. <i>Journal of Advances in Modeling Earth Systems</i>.
    2023;15(12). doi:<a href="https://doi.org/10.1029/2023MS003726">10.1029/2023MS003726</a>
  apa: Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., &#38; Sherwood, S. C. (2023).
    Assessing memory in convection schemes using idealized tests. <i>Journal of Advances
    in Modeling Earth Systems</i>. Wiley. <a href="https://doi.org/10.1029/2023MS003726">https://doi.org/10.1029/2023MS003726</a>
  chicago: Hwong, Yi-Ling, M. Colin, Philipp Aglas, Caroline J Muller, and S. C. Sherwood.
    “Assessing Memory in Convection Schemes Using Idealized Tests.” <i>Journal of
    Advances in Modeling Earth Systems</i>. Wiley, 2023. <a href="https://doi.org/10.1029/2023MS003726">https://doi.org/10.1029/2023MS003726</a>.
  ieee: Y.-L. Hwong, M. Colin, P. Aglas, C. J. Muller, and S. C. Sherwood, “Assessing
    memory in convection schemes using idealized tests,” <i>Journal of Advances in
    Modeling Earth Systems</i>, 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.” <i>Journal of Advances in Modeling Earth Systems</i>, vol. 15, no. 12,
    e2023MS003726, Wiley, 2023, doi:<a href="https://doi.org/10.1029/2023MS003726">10.1029/2023MS003726</a>.
  short: Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, Journal of Advances
    in Modeling Earth Systems 15 (2023).
corr_author: '1'
date_created: 2023-12-10T23:00:57Z
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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: <i>EGU General Assembly 2023</i>.
    European Geosciences Union; 2023. doi:<a href="https://doi.org/10.5194/egusphere-egu23-4968">10.5194/egusphere-egu23-4968</a>'
  apa: 'Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., &#38; Sherwood, S. (2023).
    Evaluating memory properties in convection schemes using idealised tests. In <i>EGU
    General Assembly 2023</i>. Vienna, Austria &#38; Virtual: European Geosciences
    Union. <a href="https://doi.org/10.5194/egusphere-egu23-4968">https://doi.org/10.5194/egusphere-egu23-4968</a>'
  chicago: Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven
    Sherwood. “Evaluating Memory Properties in Convection Schemes Using Idealised
    Tests.” In <i>EGU General Assembly 2023</i>. European Geosciences Union, 2023.
    <a href="https://doi.org/10.5194/egusphere-egu23-4968">https://doi.org/10.5194/egusphere-egu23-4968</a>.
  ieee: Y.-L. Hwong, M. Colin, P. Aglas, C. J. Muller, and S. Sherwood, “Evaluating
    memory properties in convection schemes using idealised tests,” in <i>EGU General
    Assembly 2023</i>, Vienna, Austria &#38; 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.” <i>EGU General Assembly 2023</i>, EGU23-4968, European
    Geosciences Union, 2023, doi:<a href="https://doi.org/10.5194/egusphere-egu23-4968">10.5194/egusphere-egu23-4968</a>.
  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
corr_author: '1'
date_created: 2024-01-22T12:10:32Z
date_published: 2023-04-23T00:00:00Z
date_updated: 2024-10-09T21:08:04Z
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ddc:
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department:
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language:
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month: '04'
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publication: EGU General Assembly 2023
publication_status: published
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title: Evaluating memory properties in convection schemes using idealised tests
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  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).
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author:
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- first_name: Philipp
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citation:
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  apa: Hwong, Y.-L., Colin, M., Aglas, P., Muller, C. J., &#38; Sherwood, S. C. (2023).
    Data-assessing memory in convection schemes using idealized tests. Zenodo. <a
    href="https://doi.org/10.5281/ZENODO.7757041">https://doi.org/10.5281/ZENODO.7757041</a>
  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. <a href="https://doi.org/10.5281/ZENODO.7757041">https://doi.org/10.5281/ZENODO.7757041</a>.
  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
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    Idealized Tests</i>. Zenodo, 2023, doi:<a href="https://doi.org/10.5281/ZENODO.7757041">10.5281/ZENODO.7757041</a>.
  short: Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S.C. Sherwood, (2023).
corr_author: '1'
date_created: 2024-02-14T14:37:57Z
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date_updated: 2025-09-09T13:35:40Z
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...
