Searching for authors named "Andrew Robertson" – sorted by Relevance.
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Formation Control Strategies for a Separated Spacecraft Interferometer
- Formation Control Strategies for a Separated Spacecraft Interferometer 1 Andrew Robertson 2
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Hidden Markov models for modeling daily rainfall occurrence over Brazil
- -ICS 03-27 Information and Computer Science University of California, Irvine Andrew W. Robertson
- Cited by 5 (3 self) – Add To MetaCart
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Spacecraft Formation Flying Control Design For The Orion Mission
- AIAA-99-4266 SPACECRAFT FORMATION FLYING CONTROL DESIGN FOR THE ORION MISSION Andrew Robertson y
- Cited by 8 (5 self) – Add To MetaCart
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Mountain Torques and Atmospheric Oscillations
- , France Andrew W. Robertson and Michael Ghil Department of Atmospheric Sciences and IGPP, University
- Cited by 1 (1 self) – Add To MetaCart
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Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Time Series
- -3425 {skirshne,smyth}@(email omitted); Andrew W. Robertson International Research Institute for Climate Prediction
- Cited by 8 (5 self) – Add To MetaCart
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Multiple regimes and low-frequency oscillations in the Southern Hemisphere's zonal-mean flow
- Seongjoon Koo, Andrew W. Robertson, and Michael Ghil Department ofAtmospheric Sciences and Institute
- Cited by 5 (5 self) – Add To MetaCart
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Downscaling of daily rainfall occurrence over Northeast Brazil using a hidden Markov model
- Downscaling of daily rainfall occurrence over Northeast Brazil using a Hidden Markov Model Andrew
- Cited by 8 (6 self) – Add To MetaCart
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Solving Problems with GCMs: General Circulation Models and Their Role in the Climate Modeling Hierarchy
- Hierarchy Michael Ghil and Andrew W. Robertson Department of Atmospheric Sciences & Institute of Geophysics
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Waves vs. particles in the atmospheres phase space: A pathway to long-range forecasting?
- Ghil and Andrew W. Robertson Department of Atmospheric Sciences & Institute of Geophysics and Planetary
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A Multiple-Regime Approach to Atmospheric
- , Los Angeles, CA, USA Andrew W. Robertson ∗ International Research Institute for Climate Prediction
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