DARWIN Remote Sensing
Projektmitglieder:
Dr. Daniela Ballari
Prof. Dr. Jörg Bendix
Prof. Dr. Rolando Célleri Alvear
Dr. Mario Córdova
Byron Delgado Maldonado
Maik Dobbermann
Tino Hensel
Ivo Jung
Lorena Orellana
Dr. Johanna Orellana-Alvear
Pascal Remmetter
Prof. Dr. Dieter Scherer
Benjamin Schmidt
Pablo Tenelanda
Dr. Nazli Turini
Cindy Urgiles
Programmbeschreibung:
To derive area-wide rainfall data, WP2 applies rainfall retrieval by using weather satellite data and machine learning (ML). A new retrieval scheme, the Galápagos Rainfall Retrieval GRR, will be developed based on the newest-generation GOES satellite with the ABI instrument (Advanced Baseline Imager) and active systems such as Cloudsat, GPM and CALIPSO. In addition to the new retrieval, we exploit longer time series (back to 1980) of satellite-based rainfall products, retrieved from lower-resolution satellite systems, to particularly study area-wide rainfall during extreme events such as El Niño and La Niña. The retrieved rainfall grids and its uncertainties will be intensively tested with the AWS data of WP1 and the GAR rainfields.
Workflow for the development of the Galápagos Rainfall Retrieval (GRR); CBA = Cloud BaseAltitude, LWC = Liquid Water Content