Ground- and ship-based microwave radiometer measurements during EUREC4A

Abstract

During the EUREC4A field study, microwave radiometric measurements were performed at Barbados Cloud Observatory (BCO) and aboard RV Meteor and RV Maria S Merian in the downstream winter trades of the North Atlantic. We present retrieved integrated water vapor (IWV), liquid water path (LWP), and temperature and humidity profiles as a unified, quality-controlled, multi-site data set on a 3s temporal resolution for a core period between 19 January and 14 February 2020 in which all instruments were operational. Multi-channel radiometric measurements were performed at BCO and aboard RV Meteor between 22 and 31GHz (K-band) and from 51 to 58GHz (V-band). Combined radar-radiometer measurements of a W-band Doppler radar with a single-channel radiometer instrument were conducted at 89GHz aboard RV Meteor and RV Maria S Merian. We present a novel retrieval method to retrieve LWP from single-channel 89GHz measurements, evaluate retrieved quantities with independent measurements, and analyze retrieval uncertainties by site and instrument intercomparison. Mean IWV conditions of 31.8kgm-2 match independent radiosoundings at BCO with a root-mean-square difference of 1.1kgm-2. Mean LWP conditions in confidently liquid cloudy, non-precipitating conditions ranged between 63.1gm-2 at BCO and 46.8gm-2 aboard RV Maria S Merian. Aboard the ships, 90% of LWP was below 120gm-2 with a 30% uncertainty for LWP of 50gm-2. Up to 20% of confidently liquid cloudy profiles ranged below the LWP detection limit due to optically thin clouds. The data set comprises of processed raw data (Level 1), full quality-controlled post-processed instrument data (Level 2), a unified temporal resolution (Level 3), and a ready-to-use multi-site time series of IWV and LWP (Level 4), available to the public via AERIS (https://doi.org/10.25326/454##v2.0; ). The data set complements the airborne LWP measurements conducted during EUREC4A and provides a unique benchmark tool for satellite evaluation and model-observation studies.