Latitudinal and temporal distribution of aerosols and precipitable water vapor in the tropical Andes from AERONET, sounding, and MERRA-2 data

• Published in: Scientific Reports
• Main Authors: Cazorla, María, Giles, David M., Herrera, Edgar, Suárez, Luis, Estevan, Rene, Andrade, Marcos, Bastidas, Álvaro
• Format: Text
• Language: English
• Published: Nature Publishing Group UK 2024
• Subjects: Article; Merra; Quito; Aerosol Robotic Network
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10776852/; http://www.ncbi.nlm.nih.gov/pubmed/38195912; https://doi.org/10.1038/s41598-024-51247-9

The aerosol and precipitable water vapor (PW) distribution over the tropical Andes region is characterized using Aerosol Robotic Network (AERONET) observations at stations in Medellin (Colombia), Quito (Ecuador), Huancayo (Peru), and La Paz (Bolivia). AERONET aerosol optical depth (AOD) is interpreted using PM(2.5) data when available. Columnar water vapor derived from ozone soundings at Quito is used to compare against AERONET PW. MERRA-2 data are used to complement analyses. Urban pollution and biomass burning smoke (BBS) dominate the regional aerosol composition. AOD and PM(2.5) yearly cycles for coincident measurements correlate linearly at Medellin and Quito. The Andes cordillera’s orientation and elevation funnel or block BBS transport into valleys or highlands during the two fire seasons that systematically impact South America. The February–March season north of Colombia and the Colombian-Venezuelan border directly impacts Medellin. Possibly, the March aerosol signal over Quito has a long-range transport component. At Huancayo and La Paz, AOD increases in September due to the influence of BBS in the Amazon. AERONET PW and sounding data correlate linearly but a dry bias with respect to soundings was identified in AERONET. PW and rainfall progressively decrease from north to south due to increasing altitude. This regional diagnosis is an underlying basis to evaluate future changes in aerosol and PW given prevailing conditions of rapidly changing atmospheric composition.