Polar Stratospheric Cloud Simulations for CRISTA-NF
Introduction
This data repository provides access to simulated infrared limb emission spectra in the presence of polar stratospheric clouds (PSCs) for the air-borne CRyogenic Infrared Spectrometers and Telescopes for the Atmosphere - New Frontiers (CRISTA-NF). The data is used in the study by Kalicinsky et al., submitted to AMT (2020).
The atmospheric background conditions for the simulations represent the Arctic winter 2009/2010, in which PSCs were measured during the RECONCILE campaign. While the PSCs of 0.5, 1, 2, 4, and 8 km thickness are located between 13 and 30 km altitude, the spectra are available for altitudes between 10 km and the flight altitude of 18.4 km with 100 m vertical spacing. Two spectral ranges, from 785 to 840 cm-1 and 940 to 965 cm-1 are provided.
The simulated PSC scenarios comprise pure ice, NAT, and STS scenarios, described by mono-modal log-normal particle size distributions, and two mixed scenarios STS/NAT and small NAT/large NAT, both described by bi-modal log-normal particle size distributions. For STS PSCs we followed the setup in Spang et al. (2012) and simulated three mixtures with wt% H2SO4/HNO of 2/48, 25/25, and 48/2 for five volume densities between 0.1 and 10 µm3/cm3 and four median radii between 0.1 and 1 µm with 0.3 µm in addition. For ice PSCs we extended the range to smaller volume densities, covering the range from 0.1 to 100 µm3/cm3 in 7 steps, and 6 median radii between 1 and 10 µm. Different to Spang et al. (2012) we derived the NAT particle size distribution from the HNO3 volume mixing ratio of 1 to 15 ppbv in 1 ppbv steps and median radii between 0.5 and 8 µm, where we added 6 and 8 µm and used a finer sampling of 0.5 µm between 0.5 and 4 µm. For the mixed STS/NAT scenario we combined STS with wt% H2SO4/HNO of 2/48, volume densities of 5 and 10 µm3/cm3, and median radii of 0.1, 0.3 ,1 µm with NAT volume mixing ratios of 5, 10, 15 ppbv, and median radii between 0.5 and 3.5 µm. For the bi-modal NAT simulation the data set contains simulations for 10 ppbv where the partitioning between the first and the second mode is 3/7, 5/5, and 7/3 ppbv. The median radii of the first mode were kept smaller 0.5 to 2.5 µm than in the second mode 1 to 8 µm.
Data access
The data is provided in netCDF files. For each PSC type and PSC thickness one file is provided. The radiance data is stored in a 3D array, where altitude and wavenumber are the 2 axes for each scenario and the scenarios are concatenated along a third axis, the scenario number. The macro- and micro-physical properties PSC type, PSC bottom altitude, PSC thickness, PSC extinction coefficient, PSD median radius, PSD number concentration, volume mixing ratio (NAT)/ column density (ice, STS), PSD effective radius, PSD scattering radius are stored in 1D arrays for each scenario, i.e. one entry for each scenario.
Please note, for the mixed PSC scenarios, which have bi-modal size distributions, the micro-physical parameters volume mixing ratio/ column density, PSD number concentration, PSD median, scattering, and effective radius are provided for each mode and the total PSD (if applicable).
An example file for reading the data with python and importing it to a pandas data frame is also provided. -- Happy data analysing!
Legal notes
The data sets and browse images provided on this site are licensed under a Creative Commons Attribution 4.0 International License. You are free to share the material in any medium or format and adapt it for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. The licensor cannot revoke these freedoms as long as you follow the license terms. The data are distributed in the hope that it will be useful, but without any warranty. Please follow the link to see the terms and conditions of the license:
References
Citation, if the data are used in publications:
Further reading:
Contact
We encourage anyone interested in the data set to contact us for discussions on how you like to use the data. This might help to reduce the risk of mistaken applications and helps us to track the distribution and areas of applications of the data set.
Please do not hesitate to contact us if you have any further questions:
Dr. Sabine Griessbach
Forschungszentrum Jülich
Jülich Supercomputing Centre
52425 Jülich
Germany
e-mail: s.griessbach@fz-juelich.de
Dr. Christoph Kalicinsky
Bergische Universität Wuppertal
Department of Physics - Atmospheric Physics
Gaußstr. 20
42119 Wuppertal
Germany
e-mail: kalicins@uni-wuppertal.de
Acknowledgement
We gratefully acknowledge the Gauss Centre for Supercomputing e.V. for providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUWELS at Jülich Supercomputing Centre (JSC).
