the arctic seasonal cycle of total column co2 and ch4 from ground-based solar and lunar ftir absorption spectrometry
Clicks: 247
ID: 138430
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
247 views
32 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #33 of 183 articles by views in bioorganic & medicinal chemistry
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 183 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Solar absorption spectroscopy in the near infrared has been performed in
Ny-Ålesund (78.9° N, 11.9° E) since 2002; however, due
to the high latitude of the site, the sun is below the horizon from October
to March (polar night) and no solar absorption measurements are possible.
Here we present a novel method of retrieving the total column dry-air mole
fractions (DMFs) of CO2 and CH4 using moonlight in winter.
Measurements have been taken during the polar nights from 2012 to 2016 and
are validated with TCCON (Total Carbon Column Observing Network) measurements
by solar and lunar absorption measurements on consecutive days and nights
during spring and autumn. The complete seasonal cycle of the DMFs of
CO2 and CH4 is presented and a precision of up to 0.5 %
is achieved. A comparison of solar and lunar measurements on consecutive days
during day and night in March 2013 yields non-significant biases of 0. 66 ± 4. 56 ppm for xCO2 and −1. 94 ± 20. 63 ppb for
xCH4. Additionally a model comparison has been performed with data
from various reanalysis models.
| Reference Key |
buschmann2017atmosphericthe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;M. Buschmann;N. M. Deutscher;N. M. Deutscher;M. Palm;T. Warneke;C. Weinzierl;J. Notholt |
| Journal | bioorganic & medicinal chemistry |
| Year | 2017 |
| DOI |
10.5194/amt-10-2397-2017
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.