A New Infrared Desert Dust Index over French Guyana Rain forest: First results
Résumé
Text: Recently a NASA searcher showed the role of desert dust contribution for the Amazonian rain forest. But in another hand, desert dust impact population health when PM 10 level reached values around and upper the PM 10 threshold of 50 µg m-3, established by the World Health Organization (WHO). Infrared Desert Dust Index (IDDI) developed by Legrand with Meteosat infrared images, allow the following of desert dust plumes over semi-arid land. In French Guyana the WHO threshold is currently overpass in measurements done by ORA air quality network, in the two main towns located close to the coast. For inland population, it is very difficult to have continuous dust measures due to low infrastructure supplies. We need to develop a tools to follow the crossing of desert dust over the French Guyana rain forest, from the coast to inland villages. Following the IDDI concept and comparing with VIIRS AOT EDR result over the same area, a modified IDDI for Amazonian region (IDDI_A) has been proposed to identify the dusty pixels over the forest. In spite of high cloud presence, a good correlation between AOT EDR and IDDI_A was obtained. The IDDI_A calculation has been applied over French Guyana area for different PM 10 level at Cayenne, a town along the coast. Abstract Title: A New Infrared Desert Dust Index over French Guyana Rain forest: First results Requested Presentation Type: Assigned by Program Committee (oral, panel, poster, or lightning poster talk)