Dataset for the AquaVIT-4 intercomparison of atmospheric hygrometers

DOI

Data of the AquaVIT-4 intercomparison of atmospheric hygrometers which was conducted at the AIDA climate simulation chamber of the Karlsruhe Institute of Technology (KIT), Germany, in March–April 2022, within the framework of the HEMERA H2020 EU project. The objectives were to document the performance of existing hygrometers and to support the development of novel methods for water vapor (H2O) measurements in the upper atmosphere. The AquaVIT-4 intercomparison involved seven hygrometers, based on either infrared laser absorption spectroscopy or frostpoint hygrometry techniques: four deployed on aircraft or stratospheric balloon platforms, and three reference instruments. The simulated conditions in the AIDA chamber reproduced the characteristic atmospheric conditions of the upper troposphere-lower stratosphere (UTLS, altitude range ~5–28 km) in the tropics and mid-latitudes, spanning between 20–600 hPa pressure, 190–245 K temperature, and 0.5–530 ppm H2O mixing ratio. The campaign was divided into two phases, each consisting of four measurement days: an “open intercomparison”, where the simulated conditions were known to the participants, and a “blind intercomparison”, where the conditions were coordinated by independent referees and unknown to the participating teams. Here we present a statistical analysis of the entire dataset, which allows to assess the accuracy and limitations of each instrument. For the accuracy evaluation, two sets of reference measurements were defined: one for in situ instruments, located inside the AIDA vessel, and one for extractive instruments, sampling the chamber gas through a heated inlet. This distinction accounts for H2O desorption effects, which are most prominent at low pressures and low H2O concentrations. All instruments showed a good agreement with the reference values in the range of H2O > 2 ppm, with mean deviations within ±7 % for H2O > 10 ppm, and ±8 % between 2–10 ppm H2O. The largest differences were found for H2O < 2 ppm, a rarely observed range in the atmosphere, though most of the instruments still achieved average deviations within ±10 %. Overall, the results of AquaVIT-4 demonstrate the high accuracy and reliability of the four involved sensors for upper atmospheric monitoring and research applications.

The data is related to the publication: Brunamonti, S., Saathoff, H., Hertzog, A., Diskin, G., Fujiwara, M., Rosenlof, K., Möhler, O., Tuzson, B., Emmenegger, L., Amarouche, N., Durry, G., Frérot, F., Samake, J.-C., Cenac, C., Lopez, J., Monnier, P., and Ghysels, M.: The AquaVIT-4 intercomparison of atmospheric hygrometers, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1029, 2025.

The data is sorted according to the date of measurement with the blind intercomparison conducted during 4 days from 2022-04-04 to 2022-04-07 and the open intercomparison conducted from 2022-03-29 to 2022-04-01. The files labeled AIDA-pt contain the pressure and temperature data during the experiments. The water mixing ratios measured by the individual instruments are given in the following files including the names of the instruments.

Identifier
DOI https://doi.org/10.35097/e7yxjpyc8xyv1ga4
Related Identifier IsIdenticalTo https://publikationen.bibliothek.kit.edu/1000184689
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/e7yxjpyc8xyv1ga4
Provenance
Creator Brunamonti, Simone; Saathoff, Harald ORCID logo; Hertzog, Albert; Diskin, Glenn S.; Fujiwara, Masatomo; Rosenlof, Karen; Möhler, Ottmar; Tuzson, Béla; Emmenegger, Lukas; Amarouche, Nadir; Durry, Georges; Frérot, Fabien; Samake, Jean-Christophe; Cenac, Claire; Lopez, Julio; Monnier, Paul; Ghysels, Mélanie
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2025
Rights Open Access; Creative Commons Attribution Share Alike 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-sa/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Other