CLIMCAPS observing capability for temperature, moisture, and trace gases from AIRS/AMSU and CrIS/ATMS
-
Published:2020-08-17
Issue:8
Volume:13
Page:4437-4459
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
Smith NadiaORCID, Barnet Christopher D.
Abstract
Abstract. The Community Long-term Infrared Microwave Combined
Atmospheric Product System (CLIMCAPS) retrieves vertical profiles of
temperature, water vapor, greenhouse and pollutant gases, and cloud
properties from measurements made by infrared and microwave instruments on
polar-orbiting satellites. These are AIRS/AMSU on Aqua and CrIS/ATMS on
Suomi NPP and NOAA20; together they span nearly 2 decades of daily
observations (2002 to present) that can help characterize diurnal and
seasonal atmospheric processes from different time periods or regions across
the globe. While the measurements are consistent, their information content
varies due to uncertainty stemming from (i) the observing system (e.g.,
instrument type and noise, choice of inversion method, algorithmic
implementation, and assumptions) and (ii) localized conditions (e.g.,
presence of clouds, rate of temperature change with pressure, amount of
water vapor, and surface type). CLIMCAPS quantifies, propagates, and reports all
known sources of uncertainty as thoroughly as possible so that its retrieval
products have value in climate science and applications. In this paper we
characterize the CLIMCAPS version 2.0 system and diagnose its observing
capability (ability to retrieve information accurately and consistently over
time and space) for seven atmospheric variables – temperature, H2O,
CO, O3, CO2, HNO3, and CH4 – from two satellite platforms, Aqua and NOAA20. We illustrate how CLIMCAPS observing capability varies spatially, from scene to scene, and latitudinally across the globe. We conclude with a discussion of how CLIMCAPS uncertainty metrics can be used in diagnosing its retrievals to promote understanding of the observing system and the atmosphere it measures.
Funder
National Aeronautics and Space Administration
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference68 articles.
1. Aires, F., Rossow, Scott, N. A., and Chédin, A.: Remote sensing from the
infrared atmospheric sounding interferometer instrument 2. Simultaneous
retrieval of temperature, water vapor, and ozone atmospheric profiles,
J. Geophys. Res., 107, 4620, https://doi.org/10.1029/2001JD001591, 2002. 2. AIRS Science Team/Joao Texeira: Aqua AIRS L2 standard retrieval product
using AIRS IR and AMSU, without-HSB V6, https://doi.org/10.5067/AQUA/AIRS/DATA201,
2013. 3. Aumann, H. H., Chahine, M. T., Gautier, C., Goldberg, M. D., Kalnay, E.,
McMillin, L. M., Revercomb, H., Rosenkranz, P. W., Smith, W. L., Staelin, D.
H., Strow, L. L., and Susskind, J.: AIRS/AMSU/HSB on the aqua mission:
design, science objectives, data products, and processing systems, IEEE T. Geosci. Remote, 41, 253–264, https://doi.org/10.1109/TGRS.2002.808356, 2003. 4. Blackwell, W. J.: A neural-network technique for the retrieval of
atmospheric temperature and moisture profiles from high spectral resolution
sounding data, IEEE T. Geosci. Remote, 43, 2535–2546, https://doi.org/10.1109/TGRS.2005.855071, 2005. 5. Bowman, K. W., Rodgers, C. D., Kulawik, S. S., Worden, J., Sarkissian, E.,
Osterman, G., Steck, T., Ming Lou, Eldering, A., Shephard, M., Worden, H.,
Lampel, M., Clough, S., Brown, P., Rinsland, C., Gunson, M., and Beer, R.:
Tropospheric emission spectrometer: retrieval method and error analysis,
IEEE T. Geosci. Remote, 44, 1297–1307, https://doi.org/10.1109/TGRS.2006.871234, 2006.
Cited by
40 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
|
|