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Title: Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA

Journal Article · · Atmospheric Chemistry and Physics (Online)
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  1. National Inst. for Space Research (INPE), Sao Jose dos Campos (Brazil)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Univ. of Sao Paulo (Brazil). Inst. of Astronomy, Geophysics, and Atmospheric Sciences
  4. Max Planck Inst. for Chemistry, Mainz (Germany); Univ. of California, San Diego, CA (United States). Scripps Inst. of Oceanography
  5. Univ. of Sao Paulo (Brazil). Inst. of Physics
  6. Max Planck Inst. for Chemistry, Mainz (Germany)
  7. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  8. Dept. of Aerospace Science and Technology, Sao Jose dos Campos (Brazil)
  9. Harvard Univ., Cambridge, MA (United States)
  10. Hebrew Univ. of Jerusalem (Israel)
  11. Amazon Protection System (SIPAM), Manaus (Brazil)
  12. Texas A & M Univ., College Station, TX (United States)
  13. Snow College, Richfield, UT (United States)
  14. Leipzig Univ., Leipzig (Germany). Leipzig Inst. for Meteorology

This study provides an overview of precipitation processes and their sensitivities to environmental conditions in the Central Amazon Basin near Manaus during the GoAmazon2014/5 and ACRIDICON-CHUVA experiments. Here, this study takes advantage of the numerous measurement platforms and instrument systems operating during both campaigns to sample cloud structure and environmental conditions during 2014 and 2015; the rainfall variability among seasons, aerosol loading, land surface type, and topography has been carefully characterized using these data. Differences between the wet and dry seasons were examined from a variety of perspectives. The rainfall rates distribution, total amount of rainfall, and raindrop size distribution (the mass-weighted mean diameter) were quantified over both seasons. The dry season generally exhibited higher rainfall rates than the wet season and included more intense rainfall periods. However, the cumulative rainfall during the wet season was 4 times greater than that during the total dry season rainfall, as shown in the total rainfall accumulation data. The typical size and life cycle of Amazon cloud clusters (observed by satellite) and rain cells (observed by radar) were examined, as were differences in these systems between the seasons. Moreover, monthly mean thermodynamic and dynamic variables were analysed using radiosondes to elucidate the differences in rainfall characteristics during the wet and dry seasons. The sensitivity of rainfall to atmospheric aerosol loading was discussed with regard to mass-weighted mean diameter and rain rate. This topic was evaluated only during the wet season due to the insignificant statistics of rainfall events for different aerosol loading ranges and the low frequency of precipitation events during the dry season. The impacts of aerosols on cloud droplet diameter varied based on droplet size. For the wet season, we observed no dependence between land surface type and rain rate. However, during the dry season, urban areas exhibited the largest rainfall rate tail distribution, and deforested regions exhibited the lowest mean rainfall rate. Airplane measurements were taken to characterize and contrast cloud microphysical properties and processes over forested and deforested regions. Vertical motion was not correlated with cloud droplet sizes, but cloud droplet concentration correlated linearly with vertical motion. Clouds over forested areas contained larger droplets than clouds over pastures at all altitudes. Finally, the connections between topography and rain rate were evaluated, with higher rainfall rates identified at higher elevations during the dry season.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-76RL01830; SC0012704
OSTI ID:
1595752
Alternate ID(s):
OSTI ID: 1457344
Report Number(s):
PNNL-SA-134180; BNL-205803-2018-JAAM; TRN: US2100908
Journal Information:
Atmospheric Chemistry and Physics (Online), Vol. 18, Issue 9; ISSN 1680-7324
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 31 works
Citation information provided by
Web of Science

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Cited By (5)

Thresholds for Atmospheric Convection in Amazonian Rainforests journal August 2019
Erosion of the nocturnal boundary layer in the central Amazon during the dry season journal November 2019
Aircraft-based observations of isoprene-epoxydiol-derived secondary organic aerosol (IEPOX-SOA) in the tropical upper troposphere over the Amazon region journal January 2018
Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory journal January 2019
X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems journal January 2019

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