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Statistical ensemble
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#	Item
741	AWOC Winter Track FY11 1. title Instructor Notes: Welcome to IC 6 Lesson 3. My name is Richard Grumm and this lesson will focus on using ensemble output in forecasting winter weather. Student Notes: Add to Reading List Source URL: www.wdtb.noaa.gov Language: English - Date: 2010-07-28 15:52:48 Prediction Statistical forecasting Numerical weather prediction Spaghetti plot Weather forecasting Forecasting Probability of precipitation Precipitation Rain Atmospheric sciences Meteorology Weather prediction
742	Recent Developments in Data Assimilation Florence Rabier & Jean-Noël Thépaut October 2011 Slide 1 Add to Reading List Source URL: www.wmo.int Language: English - Date: 2011-11-08 03:51:35 Statistical forecasting Weather prediction Control theory Data assimilation Systems theory Cybernetics Ensemble Kalman filter Value at risk Estimation theory Bayesian statistics Statistics
743	UEC at TRECVID 2008 High Level Feature Task Zhiyuan Tang and Keiji Yanai Department of Computer Science, The University of Electro-Communications, JAPAN {tou-s,yanai}@mm.cs.uec.ac.jp Abstract Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:11 Image processing Learning Computer vision Statistical classification Machine learning AdaBoost Feature Segmentation Boosting Artificial intelligence Ensemble learning Statistics
744	A Stochastic Perturbation Scheme (SPS) Representing Model Related Uncertainty in NCEP Global Ensemble Forecasting System Dingchen Hou, Zoltan Toth, Yuejian Zhu and Weiyu Yang Environmental Modeling Center/NCEP/NOAA Add to Reading List Source URL: www.emc.ncep.noaa.gov Language: English - Date: 2008-08-18 12:29:56 Time series analysis Ensemble forecasting Forecasting Errors and residuals in statistics Root-mean-square deviation Forecast skill ESMF Statistics Statistical forecasting Weather prediction
745	Oxford/IIIT TRECVID 2008 – Notebook paper James Philbin, Manuel Marin-Jimenez, Siddharth Srinivasan and Andrew Zisserman Visual Geometry Group, Department of Engineering Science, University of Oxford, United Kingdom Mi Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:05 Vision Image processing Statistical classification Histogram of oriented gradients Ensemble learning Machine learning Object recognition Segmentation Random forest Computer vision Statistics Artificial intelligence
746	JMA痴 Ensemble Prediction System for Seasonal Forecast Add to Reading List Source URL: ds.data.jma.go.jp Language: English - Date: 2004-07-05 02:18:31 Oceanography Statistical forecasting Atmospheric model Sea surface temperature Weather forecasting Model output statistics Data assimilation Tropical cyclone forecast model Ensemble forecasting Atmospheric sciences Meteorology Weather prediction
747	AUGUST[removed]RUDACK AND GHIRARDELLI 1161 Add to Reading List Source URL: www.nws.noaa.gov Language: English - Date: 2010-08-10 08:50:10 Prediction Weather prediction Weather Research and Forecasting model Ensemble forecasting Forecast bias National Weather Service Rapid update cycle Forecasting Brier score Atmospheric sciences Meteorology Statistical forecasting
748	WORLD METEOROLOGICAL ORGANIZATION COMMISSION FOR ATMOSPHERIC SCIENCES WWRP MWFR Working Group Sixth Meeting Add to Reading List Source URL: www.wmo.int Language: English - Date: 2011-10-05 05:19:51 Statistics Weather prediction Intergovernmental Panel on Climate Change Economic forecasting Nowcasting Data assimilation Ensemble forecasting IPCC Third Assessment Report Atmospheric sciences Statistical forecasting Meteorology
749	Oxford-IIIT TRECVID 2009 – Notebook Paper Sreekanth Vempati, Mihir Jain, Omkar M. Parkhi, C. V. Jawahar Center for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyderabad Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:16:56 Computer vision Statistical classification Ensemble learning Face recognition Support vector machine Object recognition Face detection Random forest Boosting methods for object categorization Artificial intelligence Machine learning Vision
750	Developments in hybrid varia3onal/ensemble data assimila3on Jeﬀ Whitaker, Tom Hamill John Derber, Daryl Kleist, Dave Parrish Add to Reading List Source URL: www.wmo.int Language: English* - Date: 2011-11-08 03:51:39 Bayesian statistics Estimation theory Monte Carlo methods Ensemble Kalman filter Covariance Value at risk Forecasting Variance Base Statistics Data analysis Statistical forecasting

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