Surface pressure observations from smartphones: A potential revolution for high-resolution weather prediction?

Bulletin of the American Meteorological Society

Volumn 95, Issue 9, 2014, Pages 1343-1349

  Mass, Clifford F ^a   Madaus, Luke E ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MICROELECTRONICS; PRESSURE SENSORS; SMARTPHONES; WEATHER FORECASTING;

HIGH RESOLUTION NUMERICAL WEATHER PREDICTIONS; MEMS PRESSURE SENSOR; METEOROLOGICAL PARAMETERS; ST MICROELECTRONICS; SURFACE OBSERVATION; TEMPERATURE COMPENSATION; THREE-DIMENSIONAL STRUCTURE; WEATHER PREDICTION;

ANDROID (OPERATING SYSTEM);

EID: 84910051027     PISSN: 00030007     EISSN: 15200477     Source Type: Journal    
DOI: 10.1175/BAMS-D-13-00188.1     Document Type: Article

References (9)

1. Anderson, J., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn, and A. Avellano, 2009: The data assimilation research testbed: a community facility. Bull. Amer. Meteor. Soc., 90, 1283-1296.
2. Dirren, S., R. Torn, and G. Hakim, 2007: A data assimilation case study using a limited-area ensemble Kalman filter. Mon. Wea. Rev., 135, 1455-1473, doi:10.1175/MWR3358.1.
3. Madaus, L. E., G. J. Hakim, and C. F. Mass, 2014: Utility of dense pressure observations for improving mesoscale analyses and forecasts. Mon. Wea. Rev., 142, 2398-2413, doi:10.1175/MWR-D-13-00269.1.
4. Mahoney, W. P., and J. M. O'Sullivan, 2013: Realizing the Potential of Vehicle-Based Observations. Bull. Amer. Meteor. Soc., 94, 1007-1018.
5. Overeem, A., H. Leijnse, and R. Uijlenhoet, 2013a: Country-wide rainfall maps from cellular communication networks. Proc. Natl. Acad. Sci. USA, 110, 2741-274 5, doi:10.1073/pnas.1217961110.
6. -, J. C. R. Robinson, H. Leijnse, G. J. Steeneveld, B. K. P. Horn, and R. Uijlenhoet, 2013b: Crowdsourcing urban air temperatures from smartphone battery temperatures. Geophys. Res. Lett., 40, 4081-4085, doi:10.1002/g rl.50786.
7. Torn, R. D., and G. J. Hakim, 2008: Performance characteristics of a pseudo-operational ensemble Kalman filter. Mon. Wea. Rev., 136, 3947-3963, doi:10.1175/2008MWR2443.1.
8. Wheatley, D., and D. Stensrud, 2010: The impact of assimilating surface pressure observations on severe weather events in a WRF mesoscale ensemble system. Mon. Wea. Rev., 138, 1673-1694, doi:10.1175/2009MWR3042.1.
9. Whitaker, J., G. Compo, X. Wei, and T. Hamill, 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200, doi:10.1175/1520-0493 (2004) 1322.0. CO;2.