Massively Deployable, Low-Cost Airborne Sensor Motes for Atmospheric Characterization
- 1 Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
- 2 Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
- 3 Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
- 4 Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
Abstract
A low-cost airborne sensor mote has been designed for deployment en masse to characterize atmospheric conditions. The designed environmental sensing mote, or eMote, was inspired by the natural shape of auto-rotating maple seeds to fall slowly and gather data along its descent. The eMotes measure and transmit temperature, air pressure, relative humidity, and wind speed estimates alongside GPS coordinates and timestamps. Up to 2080 eMotes can be deployed simultaneously with a 1 Hz sampling rate, but the system capacity increases by 2600 eMotes for every second added between samples. All measured and reported data falls within accuracy requirements for reporting with both the World Meteorological Organization (WMO) and the National O ceanic and Atmospheric Administration (NOAA). This paper presents the design and validation of the eMote system alongside discussions on the implementation of a large-scale, low-cost sensor network. The eMote represents unprecedented in-situ atmospheric measurement capabilities with the ability to deploy more than 260 times the number of sensing units as the most comparable commercially available dropsonde.
- Li, N., et al. (2017) The Assessment of Ground-Based Weather Radar Data by Comparison with TRMM PR. IEEE Geoscience and Remote Sensing Letters, 14, 72-76. https://doi.org/10.1109/LGRS.2016.2626320
- Durden S.L. and Perkovic-Martin, D. (2017) The RapidScat Ocean Winds Scatterometer: A Radar System Engineering Perspective. IEEE Geoscience and Remote Sensing Letters, 5, 36-43. https://doi.org/10.1109/MGRS.2017.2678999
- Veefkind, J., et al. (2012) TROPOMI on the ESA Sentinel-5 Precursor: A GMES Mission for Global Observations of the Atmospheric Composition for Climate, Air Quality and Ozone Layer Applications. Remote Sensing of Environment, 120, 70-83. https://doi.org/10.1016/j.rse.2011.09.027
- Zorer, R., et al. (2013) Daily MODIS Land Surface Temperature Data for the Analysis of the Heat Requirements of Grapevine Varieties. IEEE Transactions on Geoscience and Remote Sensing, 51, 2128-2135. https://doi.org/10.1109/TGRS.2012.2226465
- Galvin, J.F.P. (2003) Back to Basics: Radiosondes: Part 2-Using and Interpreting the Data. Weather, 58, 387-395. https://doi.org/10.1256/wea.126.02B
- Vaisala (2010) Vaisala Dropsonde RD94. https://www.vaisala.com/sites/default/files/documents/RD94-Datasheet-B210936EN-B.pdf
- Moninger, W.R., Mamrosh, R.D. and Pauley, P.M. (2003) Automated Meteorological Reports from Commercial Aircraft. Bulletin of the American Meteorological Society, 84, 203-216. https://doi.org/10.1175/BAMS-84-2-203
- Liu, Z., Wong, M.S., Nichol, J. and Chan, P.W. (2013) A Multi-Sensor Study of Water Vapour from Radiosonde, MODIS and AERONET: A Case Study of Hong Kong. International Journal of Climatology, 33, 109-120. https://doi.org/10.1002/joc.3412
- Xinhua, F., Jun, S., Beiguo, L. and Yonggang, T. (2013) Design and Implementation of Dropsonde Wind Measurement System, 2013 IEEE 11th International Conference on Electronic Measurement Instruments, Harbin, 16-19 August 2013, 166-169. https://doi.org/10.1109/ICEMI.2013.6743007
- Busen, R. (2000) The Release of Dropsondes: A Hazard for Commercial Air Traffic? Air Traffic Control Quarterly, 8, 155-171. https://doi.org/10.2514/atcq.8.2.155
- Lazo, J.K., Lawson, M., Larsen, P.H. and Waldman, D.M. (2011) U.S. Economic Sensitivity to Weather Variability. Bulletin of the American Meteorological Society, 92, 709-720. https://doi.org/10.1175/2011BAMS2928.1
- Xu, B., Zheng, J. and Wang, Q. (2016) Analysis and Design of Real-Time Micro-Environmental Parameter Monitoring System Based on Internet of Things. 2016 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Chengdu, 15-18 December 2016, 368-371. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2016.87