The full project proposal can be download here as a PDF file.
The GoAmazon experiment seeks to understand how aerosol and cloud life cycles are influenced by pollutant outflow from Manaus in the tropical rain forest. Particularly, the susceptibility to cloud-aerosol-precipitation interactions and the feedbacks among biosphere and atmosphere functioning and human activities. The scientific objectives are organized as Aerosol Life Cycle (ALC), Cloud Life Cycle (CLC), and Cloud-Aerosol-Radiation-Precipitation Interactions (CAPI). One of the focus is to understand the production of secondary organic aerosol (SOA) from the interaction of urban pollution emissions with VOCs emitted from the forest. Manaus is a 2 million people urban area surrounded by hundreds of kilometers of forest, and the study of atmospheric processes in this interaction is important to regional and global climate change assessments. A set of detailed aerosol, trace gases and cloud measurements will be performed over 6 different sites, followed by detailed meteorological transport studies. Atmospheric properties measurements will take place before the Manaus plume on three sites (ATTO (site T0), ZF2 (site T01) and EMBRAPA (site T02)), 2 sites will be located downwind of the Manaus plume (Iranduba (site T2), close to the Negro River and Manacapuru (site T3)) and one site will be operated downtown Manaus. This FAPESP proposal involves the installation and operation of all 3 upwind sites (ATTO, ZF2 and EMBRAPA) and Iranduba. The data analysis and modeling, nevertheless will make use of all GoAmazon sites and data. In Manacapuru, US DoE will operate the ARM Mobile Aerosol Observing System (MAOS-A and C) and the ARM Mobile Facility #1 (AMF1). In the sites operated by this proposal, a large set of measurements will be performed: aerosol optical measurements with spectral light scattering and absorption, aerosol size distribution, aerosol composition for organic and inorganic components, CCN (Cloud Condensation Nuclei), aerosol optical depth, radiation balance, atmospheric vertical thermodynamic structure among other measurements. Four aerosol mass spectrometers will be deployed to measure organic and inorganic aerosol composition with 30 minutes time resolution in several locations. Raman Lidar will measure the vertical distribution of aerosols and water vapor up to 12 Km. Trace gases such as O3, CO, CO2, CH4, SO2 and detailed VOCs characterization will also be determined. Measurements of cloud properties including cloud cover fraction, droplet size distribution, precipitation, water vapor and others will be combined with cloud and precipitation radars for a regional assessment of cloud-aerosol- precipitation relationship. Boundary layer thermodynamic properties will be measured with radiosondes in several sites. High resolution BRAMS regional modeling will be performed daily with 2 km resolution and full aerosol and trace gas chemistry. High resolution cloud modeling will integrate aerosol, CCN, water vapor and thermodynamic conditions for a variety of conditions. The GoAmazon measurements and modeling framework will provide a dataset vital to constrain tropical forest model parameterizations for organic aerosols, cloud and convection schemes, and radiation balance. The dataset also will provide insights into how these are perturbed by pollution and how they influence climate regionally and globally.
Objectives of the proposed work This work is the Brazilian component of the GoAmazon experiment, and as such, responds to the white paper: GoAmazon 2014 Workshop Report (DoE SC-0141 Report, 2012), and the document on the Intensive Operating Periods. A large set of key scientific questions were formulated at the GoAmazon workshops. The key questions and objectives for this proposal are in 4 main topic areas:
We propose to use observations from a large range of instruments, remote sensing from surface and satellite based sensors, and numerical modeling of physical processes acting in several spatial and temporal scales as tools to advance the understanding of the underlying processes expressed in the above questions. Detailed objectives based on these critical questions and issues are as follows: