Ensemble forecasting

Results: 1147



#Item
51Ensemble Forecast Polyphemus Training Session June 9, 2009 About Purpose: generation of ensembles, Monte Carlo simulations, ensemble combination

Ensemble Forecast Polyphemus Training Session June 9, 2009 About Purpose: generation of ensembles, Monte Carlo simulations, ensemble combination

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Source URL: cerea.enpc.fr

Language: English - Date: 2009-06-09 15:22:39
52Hydrol. Earth Syst. Sci. Discuss., 3, 3321–3332, 2006 www.hydrol-earth-syst-sci-discuss.net/ © Author(sThis work is licensed under a Creative Commons License.  Hydrology and

Hydrol. Earth Syst. Sci. Discuss., 3, 3321–3332, 2006 www.hydrol-earth-syst-sci-discuss.net/ © Author(sThis work is licensed under a Creative Commons License. Hydrology and

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Source URL: www.hydrol-earth-syst-sci-discuss.net

Language: English - Date: 2016-01-10 11:06:20
53Climate Prediction Center IssuesWinter Outlook The Climate Prediction Center issued the Winter Outlook for December 2015 – February 2016 via a press teleconference and press release on October 15, 2015. The te

Climate Prediction Center IssuesWinter Outlook The Climate Prediction Center issued the Winter Outlook for December 2015 – February 2016 via a press teleconference and press release on October 15, 2015. The te

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Source URL: www.ncep.noaa.gov

Language: English - Date: 2015-11-30 11:15:17
54JMLR: Workshop and Conference Proceedings 39:360–370, 2014  ACML 2014 Ensembles for Time Series Forecasting Mariana Oliveira

JMLR: Workshop and Conference Proceedings 39:360–370, 2014 ACML 2014 Ensembles for Time Series Forecasting Mariana Oliveira

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Source URL: jmlr.org

Language: English - Date: 2015-02-16 03:19:49
55Uncertainty in numerical weather forecasting via ensembles of initializations Yulia Gel, University of Washington. Joint work with Adrian Raftery and Tilmann Gneiting, University of Washington

Uncertainty in numerical weather forecasting via ensembles of initializations Yulia Gel, University of Washington. Joint work with Adrian Raftery and Tilmann Gneiting, University of Washington

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Source URL: www2.mmm.ucar.edu

Language: English - Date: 2003-03-05 13:57:26
56CFAN - Innovative Weather and Climate Tools - Enabling Superior Decision Making for Your Organization  OmniCast Overview Extreme weather events are the most difficult for traditional forecast models to handle, yet have t

CFAN - Innovative Weather and Climate Tools - Enabling Superior Decision Making for Your Organization OmniCast Overview Extreme weather events are the most difficult for traditional forecast models to handle, yet have t

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Source URL: www.cfanclimate.com

Language: English - Date: 2013-03-21 12:16:23
572016 HEPEX Workshop Université Laval, Quebec, Canada Evaluating the Usefulness of the US NWS Hydrologic Ensemble Forecast Service (HEFS) in the Middle Atlantic Region for Flood and Drought Applications

2016 HEPEX Workshop Université Laval, Quebec, Canada Evaluating the Usefulness of the US NWS Hydrologic Ensemble Forecast Service (HEFS) in the Middle Atlantic Region for Flood and Drought Applications

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Source URL: hepex.irstea.fr

Language: English - Date: 2016-06-23 03:59:00
585B.6	 Improvements	on	the	MPAS	global	ensemble	analysis	over	the	variable	mesh.	 	 Ha,	Soyoung,	Bill	Skamarock,	Chris	Snyder,	Michael	Duda,	Joe	Klemp,	and	Jeff Anderson,	National	Center	for	Atmospheric	Research	 	 The	gl

5B.6 Improvements on the MPAS global ensemble analysis over the variable mesh. Ha, Soyoung, Bill Skamarock, Chris Snyder, Michael Duda, Joe Klemp, and Jeff Anderson, National Center for Atmospheric Research The gl

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Source URL: www2.mmm.ucar.edu

Language: English - Date: 2016-06-16 12:19:59
59Open Geospatial Consortium / Climate modeling / Geographic information systems / GIS software / ISO/TC 211 / Web Map Service / Web Coverage Service / WMS / Ensemble forecasting / Numerical weather prediction / Quantile

DOC Document

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Source URL: external.opengis.org

Language: English - Date: 2016-06-09 11:20:05
60PROJECT REPORT  Report of the seventeenth session of the Working Group on Seasonal to Interannual Predictions (WGSIP) SMHI, Norrköping, Sweden

PROJECT REPORT Report of the seventeenth session of the Working Group on Seasonal to Interannual Predictions (WGSIP) SMHI, Norrköping, Sweden

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Source URL: wcrp-climate.org

Language: English - Date: 2016-01-19 04:45:54