---
_id: '9137'
abstract:
- lang: eng
  text: Pools of air cooled by partial rain evaporation span up to several hundreds
    of kilometers in nature and typically last less than 1 day, ultimately losing
    their identity to the large-scale flow. These fundamentally differ in character
    from the radiatively-driven dry pools defining convective aggregation. Advancement
    in remote sensing and in computer capabilities has promoted exploration of how
    precipitation-induced cold pool processes modify the convective spectrum and life
    cycle. This contribution surveys current understanding of such cold pools over
    the tropical and subtropical oceans. In shallow convection with low rain rates,
    the cold pools moisten, preserving the near-surface equivalent potential temperature
    or increasing it if the surface moisture fluxes cannot ventilate beyond the new
    surface layer; both conditions indicate downdraft origin air from within the boundary
    layer. When rain rates exceed ∼ 2 mm h−1, convective-scale downdrafts can bring
    down drier air of lower equivalent potential temperature from above the boundary
    layer. The resulting density currents facilitate the lifting of locally thermodynamically
    favorable air and can impose an arc-shaped mesoscale cloud organization. This
    organization allows clouds capable of reaching 4–5 km within otherwise dry environments.
    These are more commonly observed in the northern hemisphere trade wind regime,
    where the flow to the intertropical convergence zone is unimpeded by the equator.
    Their near-surface air properties share much with those shown from cold pools
    sampled in the equatorial Indian Ocean. Cold pools are most effective at influencing
    the mesoscale organization when the atmosphere is moist in the lower free troposphere
    and dry above, suggesting an optimal range of water vapor paths. Outstanding questions
    on the relationship between cold pools, their accompanying moisture distribution
    and cloud cover are detailed further. Near-surface water vapor rings are documented
    in one model inside but near the cold pool edge; these are not consistent with
    observations, but do improve with smaller horizontal grid spacings.
article_processing_charge: No
article_type: original
author:
- first_name: Paquita
  full_name: Zuidema, Paquita
  last_name: Zuidema
- first_name: Giuseppe
  full_name: Torri, Giuseppe
  last_name: Torri
- 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: Arunchandra
  full_name: Chandra, Arunchandra
  last_name: Chandra
citation:
  ama: Zuidema P, Torri G, Muller CJ, Chandra A. A survey of precipitation-induced
    atmospheric cold pools over oceans and their interactions with the larger-scale
    environment. <i>Surveys in Geophysics</i>. 2017;38(6):1283-1305. doi:<a href="https://doi.org/10.1007/s10712-017-9447-x">10.1007/s10712-017-9447-x</a>
  apa: Zuidema, P., Torri, G., Muller, C. J., &#38; Chandra, A. (2017). A survey of
    precipitation-induced atmospheric cold pools over oceans and their interactions
    with the larger-scale environment. <i>Surveys in Geophysics</i>. Springer Nature.
    <a href="https://doi.org/10.1007/s10712-017-9447-x">https://doi.org/10.1007/s10712-017-9447-x</a>
  chicago: Zuidema, Paquita, Giuseppe Torri, Caroline J Muller, and Arunchandra Chandra.
    “A Survey of Precipitation-Induced Atmospheric Cold Pools over Oceans and Their
    Interactions with the Larger-Scale Environment.” <i>Surveys in Geophysics</i>.
    Springer Nature, 2017. <a href="https://doi.org/10.1007/s10712-017-9447-x">https://doi.org/10.1007/s10712-017-9447-x</a>.
  ieee: P. Zuidema, G. Torri, C. J. Muller, and A. Chandra, “A survey of precipitation-induced
    atmospheric cold pools over oceans and their interactions with the larger-scale
    environment,” <i>Surveys in Geophysics</i>, vol. 38, no. 6. Springer Nature, pp.
    1283–1305, 2017.
  ista: Zuidema P, Torri G, Muller CJ, Chandra A. 2017. A survey of precipitation-induced
    atmospheric cold pools over oceans and their interactions with the larger-scale
    environment. Surveys in Geophysics. 38(6), 1283–1305.
  mla: Zuidema, Paquita, et al. “A Survey of Precipitation-Induced Atmospheric Cold
    Pools over Oceans and Their Interactions with the Larger-Scale Environment.” <i>Surveys
    in Geophysics</i>, vol. 38, no. 6, Springer Nature, 2017, pp. 1283–305, doi:<a
    href="https://doi.org/10.1007/s10712-017-9447-x">10.1007/s10712-017-9447-x</a>.
  short: P. Zuidema, G. Torri, C.J. Muller, A. Chandra, Surveys in Geophysics 38 (2017)
    1283–1305.
date_created: 2021-02-15T14:20:07Z
date_published: 2017-11-14T00:00:00Z
date_updated: 2022-01-24T12:41:45Z
day: '14'
doi: 10.1007/s10712-017-9447-x
extern: '1'
intvolume: '        38'
issue: '6'
keyword:
- Geochemistry and Petrology
- Geophysics
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1007/s10712-017-9447-x
month: '11'
oa: 1
oa_version: Published Version
page: 1283-1305
publication: Surveys in Geophysics
publication_identifier:
  issn:
  - 0169-3298
  - 1573-0956
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: A survey of precipitation-induced atmospheric cold pools over oceans and their
  interactions with the larger-scale environment
type: journal_article
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 38
year: '2017'
...
---
_id: '9138'
abstract:
- lang: eng
  text: Convective self-aggregation, the spontaneous organization of initially scattered
    convection into isolated convective clusters despite spatially homogeneous boundary
    conditions and forcing, was first recognized and studied in idealized numerical
    simulations. While there is a rich history of observational work on convective
    clustering and organization, there have been only a few studies that have analyzed
    observations to look specifically for processes related to self-aggregation in
    models. Here we review observational work in both of these categories and motivate
    the need for more of this work. We acknowledge that self-aggregation may appear
    to be far-removed from observed convective organization in terms of time scales,
    initial conditions, initiation processes, and mean state extremes, but we argue
    that these differences vary greatly across the diverse range of model simulations
    in the literature and that these comparisons are already offering important insights
    into real tropical phenomena. Some preliminary new findings are presented, including
    results showing that a self-aggregation simulation with square geometry has too
    broad distribution of humidity and is too dry in the driest regions when compared
    with radiosonde records from Nauru, while an elongated channel simulation has
    realistic representations of atmospheric humidity and its variability. We discuss
    recent work increasing our understanding of how organized convection and climate
    change may interact, and how model discrepancies related to this question are
    prompting interest in observational comparisons. We also propose possible future
    directions for observational work related to convective aggregation, including
    novel satellite approaches and a ground-based observational network.
article_processing_charge: No
article_type: original
author:
- first_name: Christopher E.
  full_name: Holloway, Christopher E.
  last_name: Holloway
- first_name: Allison A.
  full_name: Wing, Allison A.
  last_name: Wing
- first_name: Sandrine
  full_name: Bony, Sandrine
  last_name: Bony
- 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: Hirohiko
  full_name: Masunaga, Hirohiko
  last_name: Masunaga
- first_name: Tristan S.
  full_name: L’Ecuyer, Tristan S.
  last_name: L’Ecuyer
- first_name: David D.
  full_name: Turner, David D.
  last_name: Turner
- first_name: Paquita
  full_name: Zuidema, Paquita
  last_name: Zuidema
citation:
  ama: Holloway CE, Wing AA, Bony S, et al. Observing convective aggregation. <i>Surveys
    in Geophysics</i>. 2017;38(6):1199-1236. doi:<a href="https://doi.org/10.1007/s10712-017-9419-1">10.1007/s10712-017-9419-1</a>
  apa: Holloway, C. E., Wing, A. A., Bony, S., Muller, C. J., Masunaga, H., L’Ecuyer,
    T. S., … Zuidema, P. (2017). Observing convective aggregation. <i>Surveys in Geophysics</i>.
    Springer Nature. <a href="https://doi.org/10.1007/s10712-017-9419-1">https://doi.org/10.1007/s10712-017-9419-1</a>
  chicago: Holloway, Christopher E., Allison A. Wing, Sandrine Bony, Caroline J Muller,
    Hirohiko Masunaga, Tristan S. L’Ecuyer, David D. Turner, and Paquita Zuidema.
    “Observing Convective Aggregation.” <i>Surveys in Geophysics</i>. Springer Nature,
    2017. <a href="https://doi.org/10.1007/s10712-017-9419-1">https://doi.org/10.1007/s10712-017-9419-1</a>.
  ieee: C. E. Holloway <i>et al.</i>, “Observing convective aggregation,” <i>Surveys
    in Geophysics</i>, vol. 38, no. 6. Springer Nature, pp. 1199–1236, 2017.
  ista: Holloway CE, Wing AA, Bony S, Muller CJ, Masunaga H, L’Ecuyer TS, Turner DD,
    Zuidema P. 2017. Observing convective aggregation. Surveys in Geophysics. 38(6),
    1199–1236.
  mla: Holloway, Christopher E., et al. “Observing Convective Aggregation.” <i>Surveys
    in Geophysics</i>, vol. 38, no. 6, Springer Nature, 2017, pp. 1199–236, doi:<a
    href="https://doi.org/10.1007/s10712-017-9419-1">10.1007/s10712-017-9419-1</a>.
  short: C.E. Holloway, A.A. Wing, S. Bony, C.J. Muller, H. Masunaga, T.S. L’Ecuyer,
    D.D. Turner, P. Zuidema, Surveys in Geophysics 38 (2017) 1199–1236.
date_created: 2021-02-15T14:20:38Z
date_published: 2017-11-01T00:00:00Z
date_updated: 2022-01-24T12:43:13Z
day: '01'
doi: 10.1007/s10712-017-9419-1
extern: '1'
intvolume: '        38'
issue: '6'
keyword:
- Geochemistry and Petrology
- Geophysics
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1007/s10712-017-9419-1
month: '11'
oa: 1
oa_version: Published Version
page: 1199-1236
publication: Surveys in Geophysics
publication_identifier:
  issn:
  - 0169-3298
  - 1573-0956
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Observing convective aggregation
type: journal_article
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 38
year: '2017'
...
---
_id: '9139'
abstract:
- lang: eng
  text: Organized convection in the tropics occurs across a range of spatial and temporal
    scales and strongly influences cloud cover and humidity. One mode of organization
    found is “self-aggregation,” in which moist convection spontaneously organizes
    into one or several isolated clusters despite spatially homogeneous boundary conditions
    and forcing. Self-aggregation is driven by interactions between clouds, moisture,
    radiation, surface fluxes, and circulation, and occurs in a wide variety of idealized
    simulations of radiative–convective equilibrium. Here we provide a review of convective
    self-aggregation in numerical simulations, including its character, causes, and
    effects. We describe the evolution of self-aggregation including its time and
    length scales and the physical mechanisms leading to its triggering and maintenance,
    and we also discuss possible links to climate and climate change.
article_processing_charge: No
article_type: original
author:
- first_name: Allison A.
  full_name: Wing, Allison A.
  last_name: Wing
- first_name: Kerry
  full_name: Emanuel, Kerry
  last_name: Emanuel
- first_name: Christopher E.
  full_name: Holloway, Christopher E.
  last_name: Holloway
- 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: 'Wing AA, Emanuel K, Holloway CE, Muller CJ. Convective self-aggregation in
    numerical simulations: A review. <i>Surveys in Geophysics</i>. 2017;38(6):1173-1197.
    doi:<a href="https://doi.org/10.1007/s10712-017-9408-4">10.1007/s10712-017-9408-4</a>'
  apa: 'Wing, A. A., Emanuel, K., Holloway, C. E., &#38; Muller, C. J. (2017). Convective
    self-aggregation in numerical simulations: A review. <i>Surveys in Geophysics</i>.
    Springer Nature. <a href="https://doi.org/10.1007/s10712-017-9408-4">https://doi.org/10.1007/s10712-017-9408-4</a>'
  chicago: 'Wing, Allison A., Kerry Emanuel, Christopher E. Holloway, and Caroline
    J Muller. “Convective Self-Aggregation in Numerical Simulations: A Review.” <i>Surveys
    in Geophysics</i>. Springer Nature, 2017. <a href="https://doi.org/10.1007/s10712-017-9408-4">https://doi.org/10.1007/s10712-017-9408-4</a>.'
  ieee: 'A. A. Wing, K. Emanuel, C. E. Holloway, and C. J. Muller, “Convective self-aggregation
    in numerical simulations: A review,” <i>Surveys in Geophysics</i>, vol. 38, no.
    6. Springer Nature, pp. 1173–1197, 2017.'
  ista: 'Wing AA, Emanuel K, Holloway CE, Muller CJ. 2017. Convective self-aggregation
    in numerical simulations: A review. Surveys in Geophysics. 38(6), 1173–1197.'
  mla: 'Wing, Allison A., et al. “Convective Self-Aggregation in Numerical Simulations:
    A Review.” <i>Surveys in Geophysics</i>, vol. 38, no. 6, Springer Nature, 2017,
    pp. 1173–97, doi:<a href="https://doi.org/10.1007/s10712-017-9408-4">10.1007/s10712-017-9408-4</a>.'
  short: A.A. Wing, K. Emanuel, C.E. Holloway, C.J. Muller, Surveys in Geophysics
    38 (2017) 1173–1197.
date_created: 2021-02-15T14:20:56Z
date_published: 2017-11-01T00:00:00Z
date_updated: 2022-01-24T12:42:36Z
day: '01'
doi: 10.1007/s10712-017-9408-4
extern: '1'
intvolume: '        38'
issue: '6'
keyword:
- Geochemistry and Petrology
- Geophysics
language:
- iso: eng
month: '11'
oa_version: None
page: 1173-1197
publication: Surveys in Geophysics
publication_identifier:
  issn:
  - 0169-3298
  - 1573-0956
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: 'Convective self-aggregation in numerical simulations: A review'
type: journal_article
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 38
year: '2017'
...
---
_id: '12648'
abstract:
- lang: eng
  text: Distributed glacier melt models generally assume that the glacier surface
    consists of bare exposed ice and snow. In reality, many glaciers are wholly or
    partially covered in layers of debris that tend to suppress ablation rates. In
    this paper, an existing physically based point model for the ablation of debris-covered
    ice is incorporated in a distributed melt model and applied to Haut Glacier d'Arolla,
    Switzerland, which has three large patches of debris cover on its surface. The
    model is based on a 10 m resolution digital elevation model (DEM) of the area;
    each glacier pixel in the DEM is defined as either bare or debris-covered ice,
    and may be covered in snow that must be melted off before ice ablation is assumed
    to occur. Each debris-covered pixel is assigned a debris thickness value using
    probability distributions based on over 1000 manual thickness measurements. Locally
    observed meteorological data are used to run energy balance calculations in every
    pixel, using an approach suitable for snow, bare ice or debris-covered ice as
    appropriate. The use of the debris model significantly reduces the total ablation
    in the debris-covered areas, however the precise reduction is sensitive to the
    temperature extrapolation used in the model distribution because air near the
    debris surface tends to be slightly warmer than over bare ice. Overall results
    suggest that the debris patches, which cover 10% of the glacierized area, reduce
    total runoff from the glacierized part of the basin by up to 7%.
article_number: D18105
article_processing_charge: No
article_type: original
author:
- first_name: T. D.
  full_name: Reid, T. D.
  last_name: Reid
- first_name: M.
  full_name: Carenzo, M.
  last_name: Carenzo
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: B. W.
  full_name: Brock, B. W.
  last_name: Brock
citation:
  ama: 'Reid TD, Carenzo M, Pellicciotti F, Brock BW. Including debris cover effects
    in a distributed model of glacier ablation. <i>Journal of Geophysical Research:
    Atmospheres</i>. 2012;117(D18). doi:<a href="https://doi.org/10.1029/2012jd017795">10.1029/2012jd017795</a>'
  apa: 'Reid, T. D., Carenzo, M., Pellicciotti, F., &#38; Brock, B. W. (2012). Including
    debris cover effects in a distributed model of glacier ablation. <i>Journal of
    Geophysical Research: Atmospheres</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2012jd017795">https://doi.org/10.1029/2012jd017795</a>'
  chicago: 'Reid, T. D., M. Carenzo, Francesca Pellicciotti, and B. W. Brock. “Including
    Debris Cover Effects in a Distributed Model of Glacier Ablation.” <i>Journal of
    Geophysical Research: Atmospheres</i>. American Geophysical Union, 2012. <a href="https://doi.org/10.1029/2012jd017795">https://doi.org/10.1029/2012jd017795</a>.'
  ieee: 'T. D. Reid, M. Carenzo, F. Pellicciotti, and B. W. Brock, “Including debris
    cover effects in a distributed model of glacier ablation,” <i>Journal of Geophysical
    Research: Atmospheres</i>, vol. 117, no. D18. American Geophysical Union, 2012.'
  ista: 'Reid TD, Carenzo M, Pellicciotti F, Brock BW. 2012. Including debris cover
    effects in a distributed model of glacier ablation. Journal of Geophysical Research:
    Atmospheres. 117(D18), D18105.'
  mla: 'Reid, T. D., et al. “Including Debris Cover Effects in a Distributed Model
    of Glacier Ablation.” <i>Journal of Geophysical Research: Atmospheres</i>, vol.
    117, no. D18, D18105, American Geophysical Union, 2012, doi:<a href="https://doi.org/10.1029/2012jd017795">10.1029/2012jd017795</a>.'
  short: 'T.D. Reid, M. Carenzo, F. Pellicciotti, B.W. Brock, Journal of Geophysical
    Research: Atmospheres 117 (2012).'
date_created: 2023-02-20T08:17:57Z
date_published: 2012-09-27T00:00:00Z
date_updated: 2023-02-20T10:57:31Z
day: '27'
doi: 10.1029/2012jd017795
extern: '1'
intvolume: '       117'
issue: D18
keyword:
- Paleontology
- Space and Planetary Science
- Earth and Planetary Sciences (miscellaneous)
- Atmospheric Science
- Earth-Surface Processes
- Geochemistry and Petrology
- Soil Science
- Water Science and Technology
- Ecology
- Aquatic Science
- Forestry
- Oceanography
- Geophysics
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2012JD017795
month: '09'
oa: 1
oa_version: Published Version
publication: 'Journal of Geophysical Research: Atmospheres'
publication_identifier:
  issn:
  - 0148-0227
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Including debris cover effects in a distributed model of glacier ablation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 117
year: '2012'
...
---
_id: '12651'
abstract:
- lang: eng
  text: Temperature data from three Automatic Weather Stations and twelve Temperature
    Loggers are used to investigate the spatiotemporal variability of temperature
    over a glacier, its main atmospheric controls, the suitability of extrapolation
    techniques and their effect on melt modeling. We use data collected on Juncal
    Norte Glacier, central Chile, during one ablation season. We examine temporal
    and spatial variability in lapse rates (LRs), together with alternative statistical
    interpolation methods. The main control over the glacier thermal regime is the
    development of a katabatic boundary layer (KBL). Katabatic wind occurs at night
    and in the morning and is eroded in the afternoon. LRs reveal strong diurnal variability,
    with steeper LRs during the day when the katabatic wind weakens and shallower
    LRs during the night and morning. We suggest that temporally variable LRs should
    be used to account for the observed change. They tend to be steeper than equivalent
    constant LRs, and therefore result in a reduction in simulated melt compared to
    use of constant LRs when extrapolating from lower to higher elevations. In addition
    to the temporal variability, the temperature-elevation relationship varies also
    in space. Differences are evident between local LRs and including such variability
    in melt modeling affects melt simulations. Extrapolation methods based on the
    spatial variability of the observations after removal of the elevation trend,
    such as Inverse Distance Weighting or Kriging, do not seem necessary for simulations
    of gridded temperature data over a glacier.
article_number: D23109
article_processing_charge: No
article_type: original
author:
- first_name: L.
  full_name: Petersen, L.
  last_name: Petersen
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
citation:
  ama: 'Petersen L, Pellicciotti F. Spatial and temporal variability of air temperature
    on a melting glacier: Atmospheric controls, extrapolation methods and their effect
    on melt modeling, Juncal Norte Glacier, Chile. <i>Journal of Geophysical Research:
    Atmospheres</i>. 2011;116(D23). doi:<a href="https://doi.org/10.1029/2011jd015842">10.1029/2011jd015842</a>'
  apa: 'Petersen, L., &#38; Pellicciotti, F. (2011). Spatial and temporal variability
    of air temperature on a melting glacier: Atmospheric controls, extrapolation methods
    and their effect on melt modeling, Juncal Norte Glacier, Chile. <i>Journal of
    Geophysical Research: Atmospheres</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2011jd015842">https://doi.org/10.1029/2011jd015842</a>'
  chicago: 'Petersen, L., and Francesca Pellicciotti. “Spatial and Temporal Variability
    of Air Temperature on a Melting Glacier: Atmospheric Controls, Extrapolation Methods
    and Their Effect on Melt Modeling, Juncal Norte Glacier, Chile.” <i>Journal of
    Geophysical Research: Atmospheres</i>. American Geophysical Union, 2011. <a href="https://doi.org/10.1029/2011jd015842">https://doi.org/10.1029/2011jd015842</a>.'
  ieee: 'L. Petersen and F. Pellicciotti, “Spatial and temporal variability of air
    temperature on a melting glacier: Atmospheric controls, extrapolation methods
    and their effect on melt modeling, Juncal Norte Glacier, Chile,” <i>Journal of
    Geophysical Research: Atmospheres</i>, vol. 116, no. D23. American Geophysical
    Union, 2011.'
  ista: 'Petersen L, Pellicciotti F. 2011. Spatial and temporal variability of air
    temperature on a melting glacier: Atmospheric controls, extrapolation methods
    and their effect on melt modeling, Juncal Norte Glacier, Chile. Journal of Geophysical
    Research: Atmospheres. 116(D23), D23109.'
  mla: 'Petersen, L., and Francesca Pellicciotti. “Spatial and Temporal Variability
    of Air Temperature on a Melting Glacier: Atmospheric Controls, Extrapolation Methods
    and Their Effect on Melt Modeling, Juncal Norte Glacier, Chile.” <i>Journal of
    Geophysical Research: Atmospheres</i>, vol. 116, no. D23, D23109, American Geophysical
    Union, 2011, doi:<a href="https://doi.org/10.1029/2011jd015842">10.1029/2011jd015842</a>.'
  short: 'L. Petersen, F. Pellicciotti, Journal of Geophysical Research: Atmospheres
    116 (2011).'
date_created: 2023-02-20T08:18:14Z
date_published: 2011-12-16T00:00:00Z
date_updated: 2023-02-20T10:29:44Z
day: '16'
doi: 10.1029/2011jd015842
extern: '1'
intvolume: '       116'
issue: D23
keyword:
- Paleontology
- Space and Planetary Science
- Earth and Planetary Sciences (miscellaneous)
- Atmospheric Science
- Earth-Surface Processes
- Geochemistry and Petrology
- Soil Science
- Water Science and Technology
- Ecology
- Aquatic Science
- Forestry
- Oceanography
- Geophysics
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2011JD01584
month: '12'
oa: 1
oa_version: Published Version
publication: 'Journal of Geophysical Research: Atmospheres'
publication_identifier:
  issn:
  - 0148-0227
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Spatial and temporal variability of air temperature on a melting glacier:
  Atmospheric controls, extrapolation methods and their effect on melt modeling, Juncal
  Norte Glacier, Chile'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 116
year: '2011'
...
---
_id: '12658'
abstract:
- lang: eng
  text: '[1] During the ablation period 2001 a glaciometeorological experiment was
    carried out on Haut Glacier d''Arolla, Switzerland. Five meteorological stations
    were installed on the glacier, and one permanent automatic weather station in
    the glacier foreland. The altitudes of the stations ranged between 2500 and 3000
    m a.s.l., and they were in operation from end of May to beginning of September
    2001. The spatial arrangement of the stations and temporal duration of the measurements
    generated a unique data set enabling the analysis of the spatial and temporal
    variability of the meteorological variables across an alpine glacier. All measurements
    were taken at a nominal height of 2 m, and hourly averages were derived for the
    analysis. The wind regime was dominated by the glacier wind (mean value 2.8 m
    s−1) but due to erosion by the synoptic gradient wind, occasionally the wind would
    blow up the valley. A slight decrease in mean 2 m air temperatures with altitude
    was found, however the 2 m air temperature gradient varied greatly and frequently
    changed its sign. Mean relative humidity was 71% and exhibited limited spatial
    variation. Mean incoming shortwave radiation and albedo both generally increased
    with elevation. The different components of shortwave radiation are quantified
    with a parameterization scheme. Resulting spatial variations are mainly due to
    horizon obstruction and reflections from surrounding slopes, i.e., topography.
    The effect of clouds accounts for a loss of 30% of the extraterrestrial flux.
    Albedos derived from a Landsat TM image of 30 July show remarkably constant values,
    in the range 0.49 to 0.50, across snow covered parts of the glacier, while albedo
    is highly spatially variable below the zone of continuous snow cover. These results
    are verified with ground measurements and compared with parameterized albedo.
    Mean longwave radiative fluxes decreased with elevation due to lower air temperatures
    and the effect of upper hemisphere slopes. It is shown through parameterization
    that this effect would even be more pronounced without the effect of clouds. Results
    are discussed with respect to a similar study which has been carried out on Pasterze
    Glacier (Austria). The presented algorithms for interpolating, parameterizing
    and simulating variables and parameters in alpine regions are integrated in the
    software package AMUNDSEN which is freely available to be adapted and further
    developed by the community.'
article_number: D03103
article_processing_charge: No
article_type: original
author:
- first_name: Ulrich
  full_name: Strasser, Ulrich
  last_name: Strasser
- first_name: Javier
  full_name: Corripio, Javier
  last_name: Corripio
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
- first_name: Ben
  full_name: Brock, Ben
  last_name: Brock
- first_name: Martin
  full_name: Funk, Martin
  last_name: Funk
citation:
  ama: 'Strasser U, Corripio J, Pellicciotti F, Burlando P, Brock B, Funk M. Spatial
    and temporal variability of meteorological variables at Haut Glacier d’Arolla
    (Switzerland) during the ablation season 2001: Measurements and simulations. <i>Journal
    of Geophysical Research: Atmospheres</i>. 2004;109(D3). doi:<a href="https://doi.org/10.1029/2003jd003973">10.1029/2003jd003973</a>'
  apa: 'Strasser, U., Corripio, J., Pellicciotti, F., Burlando, P., Brock, B., &#38;
    Funk, M. (2004). Spatial and temporal variability of meteorological variables
    at Haut Glacier d’Arolla (Switzerland) during the ablation season 2001: Measurements
    and simulations. <i>Journal of Geophysical Research: Atmospheres</i>. American
    Geophysical Union. <a href="https://doi.org/10.1029/2003jd003973">https://doi.org/10.1029/2003jd003973</a>'
  chicago: 'Strasser, Ulrich, Javier Corripio, Francesca Pellicciotti, Paolo Burlando,
    Ben Brock, and Martin Funk. “Spatial and Temporal Variability of Meteorological
    Variables at Haut Glacier d’Arolla (Switzerland) during the Ablation Season 2001:
    Measurements and Simulations.” <i>Journal of Geophysical Research: Atmospheres</i>.
    American Geophysical Union, 2004. <a href="https://doi.org/10.1029/2003jd003973">https://doi.org/10.1029/2003jd003973</a>.'
  ieee: 'U. Strasser, J. Corripio, F. Pellicciotti, P. Burlando, B. Brock, and M.
    Funk, “Spatial and temporal variability of meteorological variables at Haut Glacier
    d’Arolla (Switzerland) during the ablation season 2001: Measurements and simulations,”
    <i>Journal of Geophysical Research: Atmospheres</i>, vol. 109, no. D3. American
    Geophysical Union, 2004.'
  ista: 'Strasser U, Corripio J, Pellicciotti F, Burlando P, Brock B, Funk M. 2004.
    Spatial and temporal variability of meteorological variables at Haut Glacier d’Arolla
    (Switzerland) during the ablation season 2001: Measurements and simulations. Journal
    of Geophysical Research: Atmospheres. 109(D3), D03103.'
  mla: 'Strasser, Ulrich, et al. “Spatial and Temporal Variability of Meteorological
    Variables at Haut Glacier d’Arolla (Switzerland) during the Ablation Season 2001:
    Measurements and Simulations.” <i>Journal of Geophysical Research: Atmospheres</i>,
    vol. 109, no. D3, D03103, American Geophysical Union, 2004, doi:<a href="https://doi.org/10.1029/2003jd003973">10.1029/2003jd003973</a>.'
  short: 'U. Strasser, J. Corripio, F. Pellicciotti, P. Burlando, B. Brock, M. Funk,
    Journal of Geophysical Research: Atmospheres 109 (2004).'
date_created: 2023-02-20T08:18:57Z
date_published: 2004-02-16T00:00:00Z
date_updated: 2023-02-20T08:40:21Z
day: '16'
doi: 10.1029/2003jd003973
extern: '1'
intvolume: '       109'
issue: D3
keyword:
- Paleontology
- Space and Planetary Science
- Earth and Planetary Sciences (miscellaneous)
- Atmospheric Science
- Earth-Surface Processes
- Geochemistry and Petrology
- Soil Science
- Water Science and Technology
- Ecology
- Aquatic Science
- Forestry
- Oceanography
- Geophysics
language:
- iso: eng
month: '02'
oa_version: None
publication: 'Journal of Geophysical Research: Atmospheres'
publication_identifier:
  issn:
  - 0148-0227
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Spatial and temporal variability of meteorological variables at Haut Glacier
  d''Arolla (Switzerland) during the ablation season 2001: Measurements and simulations'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 109
year: '2004'
...
