A CloudSat and CALIPSO-based evaluation of the effects of thermodynamic instability and aerosol loading on Amazon Basin deep convection and lightning

dc.contributor.authorAllen, Dale
dc.date.accessioned2023-08-14T19:41:43Z
dc.date.available2023-08-14T19:41:43Z
dc.date.issued2023-08-14
dc.descriptionSee journal article
dc.description.abstractThe Amazon Basin, which plays an important role in the carbon and water cycle, is under stress due to changes in climate, agricultural practices, and deforestation. The Basin includes a rainforest in the northwest and a mix of deforested areas, savannah-type vegetation, and agriculture in the southeast. The effects of instability and aerosol loading on thunderstorms in the Basin (75-45° W, 0-15° S) were examined during mid-August through mid-December, a period with large variations in aerosols, intense convective storms, and plentiful flashes. The analysis used measurements of radar reflectivity, ice water content (IWC), and aerosol type from instruments aboard the CloudSat and CALIPSO satellites, flash rates from the ground-based STARNET network, and aerosol optical depth (AOD) from a surface network and a meteorological re-analysis. After controlling for convective available potential energy (CAPE), a measure of instability, it was found that thunderstorms that developed under dirty (high-AOD) conditions were approximately 1.5 km deeper, had 50% more IWC, and more than two times as many flashes as storms that developed under clean (low-AOD) conditions. Flash rates were also found to be larger during periods when smoke rather than dust was common in the lower troposphere, likely because these periods were less stable.
dc.description.sponsorshipThe authors acknowledge the support of NASA Grant 80NSSC20K0131 that was awarded to first author Dale Allen under the NASA ROSES-2018 CloudSat and CALIPSO solicitation. Ken Pickering, Siyu Shan, and Melody Avery were also supported under this grant. Z. Li was supported by the National Science Foundation (AGS2126098). In addition, co-author P. Artaxo acknowledges funding from FAPESP through grant 2017/17047-0.
dc.identifierhttps://doi.org/10.13016/dspace/o1om-l1dc
dc.identifier.urihttp://hdl.handle.net/1903/30416
dc.language.isoen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtAtmospheric & Oceanic Scienceen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectlightning aerosols
dc.subjectCloudSat
dc.subjectCALIPSO
dc.subjectAmazon Basin
dc.titleA CloudSat and CALIPSO-based evaluation of the effects of thermodynamic instability and aerosol loading on Amazon Basin deep convection and lightning
dc.typeDataset
local.equitableAccessSubmissionNo

Files

Original bundle

Now showing 1 - 5 of 5
No Thumbnail Available
Name:
readme.txt
Size:
4.18 KB
Format:
Plain Text
No Thumbnail Available
Name:
Conv_metrics.txt
Size:
675.62 KB
Format:
Plain Text
No Thumbnail Available
Name:
Conv_metrics.ncf
Size:
7.67 MB
Format:
Unknown data format
No Thumbnail Available
Name:
Figure2.tar
Size:
360 KB
Format:
Unknown data format
No Thumbnail Available
Name:
aeronet_vars.ncf
Size:
3.78 MB
Format:
Unknown data format