The S5PVAL-BR-PORTOVELHO campaign is scheduled to start in 2020, in collaboration with the Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Karlsruhe Institute of Technology (KIT) and Instituto Federal de Educação, Ciência e Tecnologia de Rondônia - Campus Porto Velho (IFRO). The campaign deployment at the Instituto Federal de Educação, Ciência e Tecnologia de Rondônia - Campus Porto Velho (-8.774° N, 296.128° E, 87.0 m.a.s.l) in Brazil focuses on multiple species under realistic conditions of cloud cover. Porto Velho is the capital of the state of Rondônia and located on the border of Rondônia and the state of Amazonas. It is situated on the eastern shore of the Madeira River in the upper Amazon River basin. It features a tropical monsoon climate and is particularly wet from November through April. The dry season is typically during the months of June to August. As part of the campaign an EM27/SUN (part of the COCCON ground-based low-resolution Fourier transform infrared network) will be deployed to collect column-averaged abundances of methane (CH4), carbon monoxide (CO) and carbon dioxide (CO2) products. The location of the site in the Amazonas gives an unique opportunity as a low albedo site. The dataset will help for checking possible variations of S-5p CH4 and CO data with respect to ground characteristics. Currently there are no station in South American continent and this will be the first such site providing total column measurements during the campaign period in 2020 and 2021. The measurements during the campaign will help to detect drifts and seasonal variations of the S-5p data. In addition, the dataset will be capturing observations of localised sources such as fire events. These measurements from ground-based remote sensing instrument will allow to verify the S-5p observations over the same region during the same conditions. The EM27/SUN has a short integration time (~ 1 min) and moderate spectral resolution (0.5 cm-1) which allows to operate it successfully under partly cloudy or hazy or cirrus conditions. These measurements will also be an added value for detecting problems of the S-5p data products under less-than ideal meteorological conditions.
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