Details:

Journal Title:
Journal of Geophysical Research: Atmospheres
Personal Author:
Dawkins, E. C. M. ; Feofilov, A. ; Rezac, L. ; Kutepov, A. A. ; Janches, D. ; ... More +
Dawkins, E. C. M. ; Feofilov, A. ; Rezac, L. ; Kutepov, A. A. ; Janches, D. ; Höffner, J. ; Chu, X. ; Lu, X. ; Mlynczak, M. G. ; Russell, J. Less -
NOAA Program & Office:
CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:
The National Aeronautics and Space Administration (NASA) Thermosphere Ionosphere Mesosphere Energetics and Dynamics (TIMED) Sounding of the Atmosphere using Broadband Radiometry (SABER) instrument performs near‐global measurements of the vertical kinetic temperature (Tk) profiles and volume mixing ratios of various trace species (including O3, CO2, and H2O), with data available from 2002 to present. In this work, the first comparative study of the latest publically available SABER version 2.0 operational retrieval is reported in order to assess the performance of satellite Tk profiles relative to high‐resolution ground‐based lidar profiles. Collocated multiyear seasonal average Tk profiles were compared at nine different locations, representing a variety of different latitudes. In general, the SABER v2.0 and lidar mean seasonal Tk profiles agree well, with the smallest absolute values of ΔTk (z) (SABER minus lidar) found between 85 and 95 km, where the respective SABER and lidar uncertainties were smallest. At altitudes ≥100 km, the SABER Tk (z) typically exhibited warmer temperatures relative to the lidar Tk (z) profiles, whereas for altitudes ≤85 km, SABER Tk (z) was cooler. Relative to lidar, SABER tends to exhibit a warm bias during high‐latitude summertime, with the reasons for this currently still unclear. Overall, SABER was able to reproduce the general latitude‐ and season‐specific variations in the lidar Tk profiles and shown to be statistically similar for most seasons, at most locations, for the majority of altitudes, and with no overall bias.
Keywords:
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Atmospheric Science Mathematical Models Remote Sensing
Source:
JGR Atmospheres 123(17): 9916-9934, 2018
DOI:
https://doi.org/10.1029/2018JD028742
Document Type:
Journal Article
Rights Information:
Other
Compliance:
Submitted
Main Document Checksum:
[+]
urn:sha256:6f9ed5a4ad0609988022ba2892ed481f407b84bc2438cb389e0a0ee37f62fa04
Download URL:
https://repository.library.noaa.gov/view/noaa/26437/noaa_26437_DS1.pdf
File Type:

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