the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
NOAA Air Resources Laboratory Atmospheric Turbulence and Diffusion Division’s Measurements of Temperature, Humidity and Wind using Small Uncrewed Aircraft Systems to Support Short-Term Weather Forecasting Needs over Complex Terrain
Abstract. Small uncrewed aircraft systems (sUxS) are now being routinely used not only for sampling atmospheric boundary layer (ABL) processes and land-atmosphere interactions but also have significant potential to improve weather forecasting at National Weather Service (NWS) Weather Forecast Offices (WFOs). In the present study, we used observations obtained from a Meteomatics Meteodrone SSE sUxS flown on 31 days between 20 August and 10 December 2020 near Oliver Springs, Tennessee, located 35 km northwest of Knoxville, Tennessee. We flew the sUxS up to 700 m above ground level, starting around sunrise and continuing every half hour until 3.5–4.0 hours past sunrise under synoptically quiescent, fair weather conditions. These datasets were provided in real time to the local NWS WFO in Morristown, Tennessee and used by forecasters there to assist with short-term operational forecasting needs. The sUxS profiles also provided finescale details on the early-morning transition over complex terrain and how this evolution varied during the late summer to winter period, which can be used to support the initialization of numerical weather prediction models.
This preprint has been withdrawn.
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(1071 KB)
Interactive discussion
Status: closed
-
RC1: 'Comment on essd-2022-93', Anonymous Referee #1, 20 May 2022
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2022-93/essd-2022-93-RC1-supplement.pdf
-
RC2: 'Comment on essd-2022-93', Anonymous Referee #2, 09 Jul 2022
The authors present an intresting dataset of UAS profiles in complex terrain. Usually there are only short-term campaign-based data from UAS available. A longer observational period is thus quite interesting for the community. I think the article and the dataset are worth publishing, but there are some comments which should be adressed. Especially with regards to the dataset, some changes need to be done before the article and the dataset can be published.
Specific comments:
dataset:
 - the repository of the dataset seems to be a simple FTP server. As the other reviewer mentions, the authors should get a DOI for the closed dataset which they want to publish. On the FTP server, changes are not traceable.
 - There are quicklooks in PNG-format, but they are not described in the article. The images contain a copyright label, but the 'claims' should also be explained in the text. There are more variables in the quicklooks than are presented and mentioned in the article.
 - there are some inconsistencies in the data structure. in the folder 01302020 is data from another date, probably copied there by accident!?
Â
p.3, l.76: for the cold bias, does this mean low temperature AND low relative humidity? can you be a bit more specific?
p.3, l.75ff: Do the different biases that are found in different studies reflect the uncertainty of the sensors? Can it be quantified with +-0.5°C then for example?
p.4, l.101: when I quickly plotted the data to check its quality, I made the curious observation that flight height increases with temperature from 675 m (@ 0°C) to 750 m (@ 30°C). Do you have an explanation for that? Is the target altitude set as a pressure level or a height above ground?
p.5, ll.141ff: I think the data format could be described a bit more detailed, either in the text, or in the data repository. What do the header lines mean, etc. If there is a public description of the NSP-format, please provide a reference.Â
Citation: https://doi.org/10.5194/essd-2022-93-RC2
Interactive discussion
Status: closed
-
RC1: 'Comment on essd-2022-93', Anonymous Referee #1, 20 May 2022
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2022-93/essd-2022-93-RC1-supplement.pdf
-
RC2: 'Comment on essd-2022-93', Anonymous Referee #2, 09 Jul 2022
The authors present an intresting dataset of UAS profiles in complex terrain. Usually there are only short-term campaign-based data from UAS available. A longer observational period is thus quite interesting for the community. I think the article and the dataset are worth publishing, but there are some comments which should be adressed. Especially with regards to the dataset, some changes need to be done before the article and the dataset can be published.
Specific comments:
dataset:
 - the repository of the dataset seems to be a simple FTP server. As the other reviewer mentions, the authors should get a DOI for the closed dataset which they want to publish. On the FTP server, changes are not traceable.
 - There are quicklooks in PNG-format, but they are not described in the article. The images contain a copyright label, but the 'claims' should also be explained in the text. There are more variables in the quicklooks than are presented and mentioned in the article.
 - there are some inconsistencies in the data structure. in the folder 01302020 is data from another date, probably copied there by accident!?
Â
p.3, l.76: for the cold bias, does this mean low temperature AND low relative humidity? can you be a bit more specific?
p.3, l.75ff: Do the different biases that are found in different studies reflect the uncertainty of the sensors? Can it be quantified with +-0.5°C then for example?
p.4, l.101: when I quickly plotted the data to check its quality, I made the curious observation that flight height increases with temperature from 675 m (@ 0°C) to 750 m (@ 30°C). Do you have an explanation for that? Is the target altitude set as a pressure level or a height above ground?
p.5, ll.141ff: I think the data format could be described a bit more detailed, either in the text, or in the data repository. What do the header lines mean, etc. If there is a public description of the NSP-format, please provide a reference.Â
Citation: https://doi.org/10.5194/essd-2022-93-RC2
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
649 | 160 | 62 | 871 | 57 | 51 |
- HTML: 649
- PDF: 160
- XML: 62
- Total: 871
- BibTeX: 57
- EndNote: 51
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1