boundary layer evolution over the central himalayas from radio wind profiler and model simulations
Clicks: 168
ID: 165109
2016
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
168 views
46 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #322 of 850 articles by views in Journal of agricultural and food chemistry
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 850 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
We investigate the time evolution of the Local Boundary Layer (LBL) for the
first time over a mountain ridge at Nainital (79.5° E,
29.4° N, 1958 m a.m.s.l.) in the central Himalayan region, using a
radar wind profiler (RWP) during November 2011 to March 2012, as a part of
the Ganges Valley Aerosol Experiment (GVAX). We restrict our analysis to
clear–sunny days, resulting in a total of 78 days of observations. The
standard criterion of the peak in the signal-to-noise ratio
(S ∕ N) profile was found to be inadequate in the
characterization of mixed layer (ML) top at this site. Therefore, we
implemented a criterion of S ∕ N > 6 dB for the
characterization of the ML and the resulting estimations are shown to be in
agreement with radiosonde measurements over this site. The daytime average
(05:00–10:00 UTC) observed boundary layer height ranges from
440 ± 197 m in November (late autumn) to 766 ± 317 m above
ground level (a.g.l.) in March (early spring). The observations revealed a
pronounced impact of mountain topography on the LBL dynamics during March,
when strong winds (> 5.6 m s−1) lead to LBL heights of
650 m during nighttime. The measurements are further utilized to evaluate
simulations from the Weather Research and Forecasting (WRF) model. WRF
simulations captured the day-to-day variations up to an extent (r2 = 0.5), as well as the mean diurnal variations (within
1σ variability). The
mean biases in the daytime average LBL height vary from −7 % (January)
to +30 % (February) between model and observations, except during March
(+76 %). Sensitivity simulations using a mixed layer model (MXL/MESSy)
indicated that the springtime overestimation of LBL would lead to a minor
uncertainty in simulated surface ozone concentrations. However, it would lead
to a significant overestimation of the dilution of black carbon aerosols at
this site. Our work fills a gap in observations of local boundary layer over
this complex terrain in the Himalayas, and highlights the need for year-long
simultaneous measurements of boundary layer dynamics and air quality to
better understand the role of lower tropospheric dynamics in pollution
transport.
| Reference Key |
singh2016atmosphericboundary
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;N. Singh;R. Solanki;R. Solanki;N. Ojha;R. H. H. Janssen;A. Pozzer;S. K. Dhaka |
| Journal | Journal of agricultural and food chemistry |
| Year | 2016 |
| DOI |
10.5194/acp-16-10559-2016
|
| 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.