Automated Author ProfileAirey, Martin
0000-0002-9784-0043
Airey, Martin
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.4 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains atmospheric electric field, visibility and aerosol backscatter from a ceilometer during a field campaign as part of the project 'Electrical aspects of rainfall generation'. The measurements were obtained at Al Ain airport (24°15' N, 55°37' E), United Arab Emirates (UAE) from 2018-2022.
Authors
- Nicoll, Keri ;
- Harrison, Giles ;
- Marlton, Graeme ;
- Airey, Martin
Dataset contains a summary of rainfall episode characteristics spanning the study period 2018-2020 at Al Ain International Airport (24°15' N, 55°37' E). Cloud position and cloud base PTU (pressure, temperature, and relative humidity) conditions, rainfall times and durations, in addition to surface conditions and derived rain droplet size and fall speeds. Ceilometer backscatter profile and potential gradient measurements for 15/03/2019 are included as a case study as used in Airey, M.W. et al. (2021), 'Characteristics of desert precipitation in the UAE derived from a ceilometer dataset', Atmosphere 12, 1245.
Authors
- Airey, Martin
This dataset contains atmospheric electric field, visibility and ceilometer data contained within the paper 'Consistent dust electrification from Arabian Gulf sea breezes' by K.A. Nicoll, R.G. Harrison, G.M. Marlton and M.W. Airey, submitted to Environmental Research Letters (2020). The measurements were obtained at Al Ain airport (24°15' N, 55°37' E), United Arab Emirates (UAE) in the year 2018. The data has been used within this paper to study the electrification of dust lofted by sea breeze events.
Authors
- Nicoll, Keri ;
- Harrison, Giles ;
- Marlton, Graeme ;
- Airey, Martin
This dataset contains the processed radiosonde and additional surface VOLCLAB sensor data for a measurement campaign at Stromboli volcano during 28th September to 4th October 2017. Full details are given in the paper titled "First observations of gaseous volcanic plume electrification: a new source of charge for volcanic lightning", submitted to Nature Geoscience. The data for figures 1,3 and 4 are provided here.
Authors
- Nicoll, Keri ;
- Airey, Martin ;
- Harrison, Giles ;
- Marlton, Graeme ;
- Williams, Paul
This dataset contains the radiosonde and additional sensor data for an adapted radiosonde launched on the 22nd September 2017 from Pallas at 0915 UT. The file contains standard meteorological data and the additional sensor channels that were used in the analysis shown in the Review of Scientific Instruments note: A self-calibrating wide range balloon electrometer by R. Giles Harrison, Graeme J. Marlton, Keri A. Nicoll, Martin W. Airey, Paul D. Williams.
Authors
- Harrison, Giles ;
- Marlton, Graeme ;
- Nicoll, Keri ;
- Airey, Martin ;
- Williams, Paul