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Title: Convective cloud vertical velocity and mass-flux characteristics from radar wind profiler observations during GoAmazon2014/5

Journal Article · · Journal of Geophysical Research: Atmospheres
DOI:https://doi.org/10.1002/2016JD025303· OSTI ID:1344234
 [1];  [1];  [1];  [1];  [2];  [3];  [4];  [5];  [6]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States). Environmental and Climate Sciences Dept.
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Centre for Australian Weather and Climate Research, Melbourne, Vic (Australia)
  4. Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States). Earth System Research Lab.
  5. Texas A&M Univ., College Station, TX (United States)
  6. National Inst. for Space Research, Sao Jose dos Campos (Brazil)

A radar wind profiler data set collected during the 2 year Department of Energy Atmospheric Radiation Measurement Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) campaign is used to estimate convective cloud vertical velocity, area fraction, and mass flux profiles. Vertical velocity observations are presented using cumulative frequency histograms and weighted mean profiles to provide insights in a manner suitable for global climate model scale comparisons (spatial domains from 20 km to 60 km). Convective profile sensitivity to changes in environmental conditions and seasonal regime controls is also considered. Aggregate and ensemble average vertical velocity, convective area fraction, and mass flux profiles, as well as magnitudes and relative profile behaviors, are found consistent with previous studies. Updrafts and downdrafts increase in magnitude with height to midlevels (6 to 10 km), with updraft area also increasing with height. Updraft mass flux profiles similarly increase with height, showing a peak in magnitude near 8 km. Downdrafts are observed to be most frequent below the freezing level, with downdraft area monotonically decreasing with height. Updraft and downdraft profile behaviors are further stratified according to environmental controls. These results indicate stronger vertical velocity profile behaviors under higher convective available potential energy and lower low-level moisture conditions. Sharp contrasts in convective area fraction and mass flux profiles are most pronounced when retrievals are segregated according to Amazonian wet and dry season conditions. During this deployment, wet season regimes favored higher domain mass flux profiles, attributed to more frequent convection that offsets weaker average convective cell vertical velocities.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0012704; AC05-76RL01830
OSTI ID:
1344234
Alternate ID(s):
OSTI ID: 1339830
Report Number(s):
BNL-113519-2017-JA; PNNL-SA-122876; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
Journal Information:
Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 21; ISSN 2169-897X
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 44 works
Citation information provided by
Web of Science

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Cited By (14)

Environmental impacts on the flux of mass through deep convection journal October 2019
Dependence of Vertical Alignment of Cloud and Precipitation Properties on Their Effective Fall Speeds journal February 2019
Thresholds for Atmospheric Convection in Amazonian Rainforests journal August 2019
GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales journal April 2018
Substantial convection and precipitation enhancements by ultrafine aerosol particles journal January 2018
Using Satellite Error Modeling to Improve GPM-Level 3 Rainfall Estimates over the Central Amazon Region journal February 2018
Large-scale vertical velocity, diabatic heating and drying profiles associated with seasonal and diurnal variations of convective systems observed in the GoAmazon2014/5 experiment journal January 2016
Tropical continental downdraft characteristics: mesoscale systems versus unorganized convection journal January 2018
Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA journal January 2018
Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework journal January 2018
X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems journal January 2019
Campaign datasets for Observations and Modeling of the Green Ocean Amazon (GOAMAZON) dataset January 2016
The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment journal January 2018
Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework posted_content October 2017