Overview of the hi-scale field campaign a new perspective on shallow convective clouds. Fast, J., D., Berg, L., K., Alexander, L., Bell, D., D'Ambro, E., Hubbe, J., Kuang, C., Liu, J., Long, C., Matthews, A., Mei, F., Newsom, R., Pekour, M., Pinterich, T., Schmid, B., Schobesberger, S., Shilling, J., Smith, J., N., Springston, S., Suski, K., Thornton, J., A., Tomlinson, J., Wang, J., Xiao, H., & Zelenyuk, A. Bulletin of the American Meteorological Society, 100(5):821-840, 5, 2019.
abstract   bibtex   
Shallow convective clouds are common, occurring over many areas of the world, and are an important component in the atmospheric radiation budget. In addition to synoptic and mesoscale meteorological conditions, land-atmosphere interactions and aerosol-radiation-cloud interactions can influence the formation of shallow clouds and their properties. These processes exhibit large spatial and temporal variability and occur at the subgrid scale for all current climate, operational forecast, and cloud-system-resolving models; therefore, they must be represented by parameterizations. Uncertainties in shallow cloud parameterization predictions arise from many sources, including insufficient coincident data needed to adequately represent the coupling of cloud macrophysical and microphysical properties with inhomogeneity in the surface-layer, boundary layer, and aerosol properties. Predictions of the transition of shallow to deep convection and the onset of precipitation are also affected by errors in simulated shallow clouds. Coincident data are a key factor needed to achieve a more complete understanding of the life cycle of shallow convective clouds and to develop improved model parameterizations. To address these issues, the Holistic Interactions of Shallow Clouds, Aerosols and Land Ecosystems (HI-SCALE) campaign was conducted near the Atmospheric Radiation Measurement (ARM) Southern Great Plains site in north-central Oklahoma during the spring and summer of 2016. We describe the scientific objectives of HI-SCALE as well as the experimental approach, overall weather conditions during the campaign, and preliminary findings from the measurements. Finally, we discuss scientific gaps in our understanding of shallow clouds that can be addressed by analysis and modeling studies that use HI-SCALE data.
@article{
 title = {Overview of the hi-scale field campaign a new perspective on shallow convective clouds},
 type = {article},
 year = {2019},
 identifiers = {[object Object]},
 pages = {821-840},
 volume = {100},
 month = {5},
 id = {02314040-0b2e-371a-8a01-7b4b82416d6e},
 created = {2020-02-09T00:05:58.650Z},
 file_attached = {false},
 profile_id = {2e2b0bf1-6573-3fd8-8628-55d1dc39fe31},
 last_modified = {2020-07-01T00:39:01.560Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {ISI:000470678200007},
 source_type = {article},
 private_publication = {false},
 abstract = {Shallow convective clouds are common, occurring over many areas of the
world, and are an important component in the atmospheric radiation
budget. In addition to synoptic and mesoscale meteorological conditions,
land-atmosphere interactions and aerosol-radiation-cloud interactions
can influence the formation of shallow clouds and their properties.
These processes exhibit large spatial and temporal variability and occur
at the subgrid scale for all current climate, operational forecast, and
cloud-system-resolving models; therefore, they must be represented by
parameterizations. Uncertainties in shallow cloud parameterization
predictions arise from many sources, including insufficient coincident
data needed to adequately represent the coupling of cloud macrophysical
and microphysical properties with inhomogeneity in the surface-layer,
boundary layer, and aerosol properties. Predictions of the transition of
shallow to deep convection and the onset of precipitation are also
affected by errors in simulated shallow clouds. Coincident data are a
key factor needed to achieve a more complete understanding of the life
cycle of shallow convective clouds and to develop improved model
parameterizations. To address these issues, the Holistic Interactions of
Shallow Clouds, Aerosols and Land Ecosystems (HI-SCALE) campaign was
conducted near the Atmospheric Radiation Measurement (ARM) Southern
Great Plains site in north-central Oklahoma during the spring and summer
of 2016. We describe the scientific objectives of HI-SCALE as well as
the experimental approach, overall weather conditions during the
campaign, and preliminary findings from the measurements. Finally, we
discuss scientific gaps in our understanding of shallow clouds that can
be addressed by analysis and modeling studies that use HI-SCALE data.},
 bibtype = {article},
 author = {Fast, Jerome D. and Berg, Larry K. and Alexander, Lizbeth and Bell, David and D'Ambro, Emma and Hubbe, John and Kuang, Chongai and Liu, Jiumeng and Long, Chuck and Matthews, Alyssa and Mei, Fan and Newsom, Rob and Pekour, Mikhail and Pinterich, Tamara and Schmid, Beat and Schobesberger, Siegfried and Shilling, John and Smith, James N. and Springston, Stephen and Suski, Kaitlyn and Thornton, Joel A. and Tomlinson, Jason and Wang, Jian and Xiao, Heng and Zelenyuk, Alla},
 journal = {Bulletin of the American Meteorological Society},
 number = {5}
}

Downloads: 0