field-of-view characteristics and resolution matching for the global precipitation measurement (gpm) microwave imager (gmi)
Clicks: 154
ID: 187074
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
Emerging Content
30.0
/100
154 views
35 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #110 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
Representative parameters of the scan geometry are empirically
determined for the Global Precipitation Measurement (GPM) Microwave
Imager (GMI). Effective fields of view (EFOVs) are computed for the
GMI's 13 channels, taking into account the blurring effect of the
measurement interval on the instantaneous fields of view
(IFOVs). Using a Backus–Gilbert procedure, coefficients are derived
that yield an approximate spatial match between synthetic EFOVs of
different channels, using the 18.7 GHz channels as a target and with
due consideration of the tradeoff between the quality of the fit and
noise amplification and edge effects. Modest improvement in
resolution is achieved for the 10.65 GHz channels, albeit with slight
ringingin the vicinity of coastlines and other sharp brightness temperature gradients. For all other channels, resolution is coarsened to approximate the 18.7 GHz EFOV. It is shown that the resolution matching procedure reduces nonlinear correlations between channels in the presence of coastlines as well as enables the more efficient separation of large brightness temperature variations due to coastlines from the much smaller variations due to other geophysical variables. As a byproduct of this work, we report accurate EFOV resolutions as well as a self-consistent set of parameters for modeling the scan geometry of the GMI.
| Reference Key |
petty2017atmosphericfield-of-view
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;G. W. Petty;R. Bennartz |
| Journal | bioorganic & medicinal chemistry |
| Year | 2017 |
| DOI |
10.5194/amt-10-745-2017
|
| 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.