The need for higher spatial/temporal resolution in-situ atmospheric sensing has been
established by both weather and climate researchers. In order to address this
need, an airborne wireless sensor network called GlobalSense is currently being
developed. GlobalSense is based on low-cost airborne probes that collect
environmental data as they fall slowly through the atmosphere and on portable
base stations that receive the data being collected. This paper presents an
overview of this GlobalSense system as well as preliminary results from
ground-based system testing.
References
[1]
Lazo, J., 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
[2]
Teisberg, T.J., Weiher, R.F. and Khotanzad, A. (2005) The Economic Value of Temperature Forecasts in Electricity Generation. Bulletin of the American Meteorological Society, 86, 1765-1771. https://doi.org/10.1175/BAMS-86-12-1765
[3]
Sun, J., et al. (2014) Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges. Bulletin of the American Meteorological Society, 95, 409-426. https://doi.org/10.1175/BAMS-D-11-00263.1
[4]
Durden, S.L. and Perkovic-Martin, D. (2017) The RapidScat Ocean WindsScatterometer: A Radar System Engineering Perspective. IEEE Geoscience and Remote Sensing Magazine, 5, 36-43. https://doi.org/10.1109/MGRS.2017.2678999
[5]
Veefkind, J.P., 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
[6]
Li, N., Wang, Z., Xu, F., Chu, Z., Zhu, Y. and Han, J. (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
[7]
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
[8]
Vaisala (2010) Vaisala Dropsonde RD94.
[9]
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
[10]
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
[11]
Bolt, M., Prather, J.C., Harrell, H., Horton, T., Manobianco, J. and Adams, M.L. (2017) Design and Testing of Novel Airborne Atmospheric Sensor Nodes. IEEE Geoscience and Remote Sensing Letters, 15, 73-77.
https://doi.org/10.1109/LGRS.2017.2774203
[12]
Pounds, P., Potie, T., Kendoul, F., Singh, S., Jurdak, R. and Roberts, J. (2016) Automatic Distribution of Disposable Self-Deploying Sensor Modules. Springer International Publishing, Cham, 535-543.
[13]
Stevenson, R.A., Evangelista, D. and Looy, C.V. (2015) When Conifers Took Flight: A Biomechanical Evaluation of an Imperfect Evolutionary Takeoff. Paleobiology, 41, 205-225. https://doi.org/10.1017/pab.2014.18
[14]
World Meteorological Organization (2017) Observing Systems Capability Analysis and Review Tool. World Meteorological Organization, Geneva.
[15]
National Oceanic and Atmospheric Administration (2017) NWS Directives System. Silver Spring, MD.
[16]
Lund, J. (2009) Design Note DN502: CRC Implementation.
http://www.ti.com/lit/an/swra111d/swra111d.pdf
[17]
Hoel, R. (2007) Design Note DN504: FEC Implementation.
http://www.ti.com/lit/an/swra113a/swra113a.pdf