BLOOM campaign - Remote sensing datasets

Résumé

This repository contains datasets from the remote sensing instrumentation used during the BLOOM (turBulence and oLea pOllen prOperties experiMent) campaign. This campaign took place from May 18 to June 21 2022, at the Guadiana-UGR station (37.91ºN, 3.23ºW, 370 m asl) in Southern Spain, within the framework of the INTEGRATYON3 project (PID2020-117825GB-C21 and PID2020-117825GB-C22), funded by MCIN/AEI/10.13039/501100011033. The primary focus of the campaign was to investigate olive tree pollen emissions and characterize aerosol particles and greenhouse gas exchanges in an olive field. Instruments deployed at the station included a HALO Photonics StreamLine Doppler lidar, a CHM15k-Nimbus ceilometer (Lufft) and a sun-sky photometer (Cimel Electronique), all operating continuously. The Doppler lidar dataset correspond to the raw data produced by the instrument software as well as the products produced by the "HALO lidar toolbox", developed by Manninen (2019; https://github.com/manninenaj/HALO_lidar_toolbox). Ceilometer dataset correspond to the raw data produced by the instrument software. Sun-photometer data is accessible via AERONET (https://aeronet.gsfc.nasa.gov/cgi-bin/data_display_aod_v3?site=Guadiana-UGR). For more information about the datasets contact Juan Luis Guerrero-Rascado (rascado@ugr.es) and Jesús Abril-Gago (jabrilgago@ugr.es).