Artificial Intelligence
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Artificial Intelligence is the application of statistics and machine learning to the development of new insights and prediction systems. While long a mainstay of data analysis in the atmospheric sciences, artificial intelligence techniques have only recently entered the mainstream in meteorological weather prediction. They offer advantages of speed, and in many cases accuracy, over human forecasters.
- Caruzzo, A., M.C.N. Belderrain, G. Fisch, G.S.
Young, C.J. Hanlon, J. Verlinde, 2016: Decisão em condições de incerteza meteorológica e proteção de infraestruturas
no Centro de Lançamento de Alcântara,
Revista Brasileira
de Meteorologia. in press. --- Abstract
- McCandless, T.C., S.E.
Haupt, G.S. Young, L. Hinkleman, 2016: Regime-Dependent Short-Range Solar
Irradiance Forecasting, Journal of Applied Meteorology and Climatology,
55, 1599-1613. --- Abstract
- Stauffer, R.M., A.M.
Thompson, and G.S. Young, 2016: Tropospheric ozonesonde profiles at
long-term U.S. monitoring sites: 1. A climatology based on self-organizing
maps, Journal of Geophysical Research – Atmospheres. 121,
1320-1339. --- Abstract
- Lee, J.A., S.E. Haupt,
and G.S. Young, 2016: Down-selecting numerical weather prediction
multi-physics ensembles with hierarchical cluster analysis. Journal of
Climatology & Weather Forecasting. 4, 156. --- Abstract
- McCandless, T.C., S.E.
Haupt, G.S. Young, 2015: A Model Tree Approach to Forecasting Solar
Irradiance Variability. Solar Energy, 120,
514-524. --- Abstract
- McCandless, T.C., S.E
Haupt, G.S. Young, 2015: A Regime-Dependent Artificial Neural Network
Technique for Short-Range Solar Irradiance Forecasting. Applied Energy.
89, 351-359. --- Abstract
- Srikrishnan, V., G.S.
Young, L. Witmer, J.R.S. Brownson, 2015: Using
Multi-Pyranometer Arrays and Neural Networks to Estimate Direct Normal
Irradiance. Solar Energy. 119, 531-542. --- Abstract
- Young, G.S., S.D.
Goldberger, J. Verlinde, and C.J. Hanlon, 2015: Forecasting Regional
Chance of Occurrence through Aggregation of MOS PoPs, Journal of
Operational Meteorology, 3, 30-40. --- Abstract
- Hanlon, C.J., A. Small,
S. Bose, G.S. Young, J. Verlinde, 2014: Automated decision algorithm
applied to a field campaign with multiple research objectives: the DC3
campaign. Journal of Geophysical Research, 119,
11,527-11,542. --- Abstract
- Hanlon, C.J., G.S.
Young, J. Verlinde, A.A. Small, and S. Bose, 2014: Probabilistic
forecasting for isolated thunderstorms using a genetic algorithm: the DC3
campaign. Journal of Geophysical
Research, 119, 1–10. --- Abstract
- Hanlon, C.J., J.B. Stefik, A.A. Small, J. Verlinde, G.S. Young, 2013:
Statistical decision analysis for flight decision support: The SPartICus campaign. Journal of Geophysical Research, 118, 4679-4688. --- Abstract
- Annunzio, A.J., G.S.
Young, S.E. Haupt, 2012: Utilizing state
estimation to determine the source location for a contaminant. Atmospheric Environment, 46, 580-589. --- Abstract
- Annunzio A.J., G.S.
Young, S.E. Haupt, 2012: A Multi-Entity Field Approximation to determine the
source location of multiple atmospheric contaminant releases. Atmospheric Environment, 62, 593-604. --- Abstract
- McCandless, T., S. E.
Haupt, and G. S. Young, 2011: Statistical guidance methods for predicting snowfall
accumulation in the northeast United States. National
Weather Digest, 35, 149-162. --- Abstract
- Rodriguez, L.M., S.E.
Haupt, and G.S. Young, 2010: Impact of sensor characteristics on source
characterization for dispersion modeling. Measurement, 44,
802-814. --- Abstract
- Hilliker, J.L., G. Akasapu, and G.S. Young, 2010: Assessing the
short-term forecast capability of nonstandardized
surface observations using the National Digital Forecast Database (NDFD). Journal of Applied Meteorology, 49, 1397-1411. --- Abstract
- Kuroki, Y., G.S. Young,
and S.E. Haupt, 2010: UAV navigation by an expert system for contaminant mapping
with a genetic algorithm. Expert Systems with Applications, 37, 4687-4697. --- Abstract
- Long, K.J., S.E. Haupt,
and G.S. Young, 2010: Assessing
sensitivity of source term estimation. Atmospheric
Environment, 44, 1558-1567.
--- Abstract
- Haupt, S.E., R.L. Haupt,
and G.S. Young, 2009: A Mixed Integer Genetic Algorithm used in Chem-Bio Defense Applications, Journal of Soft
Computing, DOI 10.1007/s00500-009-0516-z. --- Abstract
- Haupt, S.E., K.J. Long,
A. Beyer-Lout, and G.S. Young, 2009: Assimilating concentration
observations for transport and dispersion modeling in a meandering wind
field. Atmospheric Environment, 43, 1329-1338. --- Abstract
- Young, G.S., T.D.
Sikora, and N.S. Winstead, 2008: Mesoscale near-surface wind speed
variability mapping with synthetic aperture radar. Sensors, 8,
7012-7034. --- Abstract
- Allen, C.T., G.S. Young,
and S.E. Haupt, 2007: Improving Pollutant Source Characterization by
Optimizing Meteorological Data with a Genetic Algorithm. Atmospheric
Environment, 41, 2283-2289. --- Abstract
- Allen, C.T., S.E. Haupt,
and G.S. Young, 2007: Source Characterization with a Genetic
Algorithm-Coupled Dispersion-Backward Model Incorporating SCIPUFF.
Journal of Applied Meteorology and Climate, 46, 273-287. --- Abstract
- Haupt, S.E., G.S. Young,
and C.T. Allen, 2007: A genetic algorithm method to assimilate sensor data
for a toxic contaminant release. Journal of Computers, 2,
85-93. --- Abstract