Cloud geometry from oxygen-A-band observations through an aircraft side window
-
Published:2019-02-25
Issue:2
Volume:12
Page:1167-1181
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
Zinner Tobias, Schwarz Ulrich, Kölling Tobias, Ewald FlorianORCID, Jäkel Evelyn, Mayer BernhardORCID, Wendisch ManfredORCID
Abstract
Abstract. During the ACRIDICON-CHUVA (Aerosol, Cloud, Precipitation,
and Radiation Interactions and Dynamics of Convective Cloud Systems–Cloud
Processes of the Main Precipitation Systems in Brazil: A Contribution to
Cloud Resolving Modeling and to the GPM (Global Precipitation Measurement)) aircraft campaign in September 2014 over the
Amazon, among other topics, aerosol effects on the development of cloud
microphysical profiles during the burning season were studied. Hyperspectral
remote sensing with the imaging spectrometer specMACS provided cloud
microphysical information for sun-illuminated cloud sides. In order to derive
profiles of phase or effective radius from cloud side observations, vertical
location information is indispensable. For this purpose, spectral
measurements of cloud-side-reflected radiation in the oxygen A absorption
band collected by specMACS were used to determine absorption path length
between cloud sides and the instrument aboard the aircraft. From these data,
horizontal distance and eventually vertical height were derived. It is shown that, depending on aircraft altitude and sensor viewing
direction, an unambiguous relationship of absorption and distance exists and
can be used to retrieve cloud geometrical parameters. A comparison to
distance and height information from stereo image analysis (using data of an
independent camera) demonstrates the efficiency of the approach. Uncertainty
estimates due to method, instrument and environmental factors are provided.
The main sources of uncertainty are unknown in cloud absorption path
contributions due to complex 3-D geometry or unknown microphysical
properties, variable surface albedo and aerosol distribution. A systematic
difference of 3.8 km between the stereo and spectral method is found which can
be attributed to 3-D geometry effects not considered in the method's
simplified cloud model. If this offset is considered, typical differences
found are 1.6 km for distance and 230 m for vertical position at a typical
distance around 20 km between sensor and convective cloud elements of
typically 1–10 km horizontal and vertical extent.
Funder
Deutsche Forschungsgemeinschaft
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference35 articles.
1. Anderson, G., Clough, S., Kneizys, F., Chetwynd, J., and Shettle, E.: AFGL
atmospheric constituent profiles, Tech. Rep. AFGL-TR-86-0110, AirForce
Geophys. Lab., 1986. a 2. Beekmans, C., Schneider, J., Läbe, T., Lennefer, M., Stachniss, C., and
Simmer, C.: Cloud photogrammetry with dense stereo for fisheye cameras,
Atmos. Chem. Phys., 16, 14231–14248,
https://doi.org/10.5194/acp-16-14231-2016, 2016. a, b 3. Chahine, M. T.: Remote Sounding of Cloudy Atmospheres. I. The Single Cloud
Layer, J. Atmos. Sci., 31, 233–243,
https://doi.org/10.1175/1520-0469(1974)031<0233:RSOCAI>2.0.CO;2,
1974. a 4. Emde, C., Buras-Schnell, R., Kylling, A., Mayer, B., Gasteiger, J., Hamann,
U., Kylling, J., Richter, B., Pause, C., Dowling, T., and Bugliaro, L.: The
libRadtran software package for radiative transfer calculations (version
2.0.1), Geosci. Model Dev., 9, 1647–1672,
https://doi.org/10.5194/gmd-9-1647-2016, 2016. a 5. Ewald, F., Winkler, C., and Zinner, T.: Reconstruction of cloud geometry
using a scanning cloud radar, Atmos. Meas. Tech., 8, 2491–2508,
https://doi.org/10.5194/amt-8-2491-2015, 2015. a, b
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|