Preprints
https://doi.org/10.5194/essd-2021-284
https://doi.org/10.5194/essd-2021-284
 
06 Sep 2021
06 Sep 2021
Status: a revised version of this preprint was accepted for the journal ESSD.

A dataset of microphysical cloud parameters, retrieved from Emission-FTIR spectra measured in Arctic summer 2017

Philipp Richter1, Mathias Palm1, Christine Weinzierl1, Hannes Griesche2, Penny M. Rowe3, and Justus Notholt1 Philipp Richter et al.
  • 1University of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28359 Bremen
  • 2Leibniz Institute for Tropospheric Research (TROPOS), Permoserstr. 15, 04318 Leipzig
  • 3NorthWest Research Associates, Redmond, WA, USA

Abstract. A dataset of microphysical cloud parameters from optically thin clouds, retrieved from infrared spectral radiances measured in summer 2017 in the Arctic, is presented. Measurements were conducted using a mobile Fourier-transform infrared (FTIR) spectrometer which was carried by the RV Polarstern. This dataset contains retrieved optical depths and effective radii of ice and water, from which the liquid water path and ice water path are calculated. These water paths and the effective radii are compared with derived quantities from a combined cloud radar, lidar and microwave radiometer measurement synergy retrieval, called Cloudnet. Comparing the liquid water paths from the infrared retrieval and Cloudnet shows significant correlations with a standard deviation of 8.60 g · m−2. Although liquid water path retrievals from microwave radiometer data come with a uncertainty of at least 20 g · m−2, a significant correlation and a standard deviation of 5.32 g · m−2 between the results of clouds with a liquid water path of at most 20 g · m−2 retrieved from infrared spectra and results from Cloudnet can be seen. Therefore, despite its large uncertainty, the comparison with data retrieved from infrared spectra shows that optically thin clouds of the measurement campaign in summer 2017 can be observed well using microwave radiometers within the Cloudnet framework. Apart from this, the dataset of microphysical cloud properties presented here allows to perform calculations of the cloud radiative effects, when the Cloudnet data from the campaign are not available, which was from the 22nd July 2017 until the 19th August 2017. The dataset is published at Pangaea (Richter et al., 2021).

Philipp Richter et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-284', Anonymous Referee #1, 02 Nov 2021
    • AC1: 'Reply on RC1', Philipp Richter, 17 Mar 2022
  • RC2: 'Comment on essd-2021-284', Anonymous Referee #2, 03 Feb 2022
    • AC2: 'Reply on RC2', Philipp Richter, 17 Mar 2022

Philipp Richter et al.

Data sets

Microphysical Cloud Parameters and water paths retrieved from EM-FTIR spectra, measured during PS106 and PS107 in Arctic summer 2017 Richter, Philipp; Palm, Mathias; Weinzierl, Christine; Notholt, Justus https://doi.pangaea.de/10.1594/PANGAEA.933829

Model code and software

Total Cloud Water retrieval Richter, Philipp https://doi.org/10.5281/zenodo.4621127

Philipp Richter et al.

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Short summary
We present a dataset of cloud optical depths, effective radii and water paths from optically thin clouds observed in the Arctic around Svalbard. The data has been retrieved from infrared spectral radiance measured using a FTIR spectrometer. Besides a description of the measurements and retrieval technique, the data is set into context with results of corresponding measurements from microwave radiometer, lidar and cloud radar.