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Ensemble forecasting
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#	Item
921	NCAR Strategic Plan \| [removed]National Center for Atmospheric Research[removed]Strategic Plan Add to Reading List Source URL: ncar.ucar.edu Language: English - Date: 2014-05-06 13:04:57 Climate model Global climate model Ensemble forecasting Weather Research and Forecasting model University Corporation for Atmospheric Research NCEP/NCAR Reanalysis Atmospheric sciences Meteorology National Center for Atmospheric Research
922	Title: Multi-Model Ensemble Forecast of MJO PI: Bin Wang: Department of Meteorology and IPRC, University of Hawaii. Co-PIs: Duane Waliser, JIFRESSE, University of California, Los Angeles. Co-Is: Siegfried Schubert, GMAO Add to Reading List Source URL: www.cpc.noaa.gov Language: English - Date: 2011-03-03 10:11:46 Madden–Julian oscillation Tropical meteorology Weather prediction Climatology Atmospheric model Hindcast Forecasting Atmospheric sciences Meteorology Statistical forecasting
923	ENS_PRE User Manual Ensemble Pre-Processor Program (ENS_PRE) User Manual 1. Description of the Algorithm In order to integrate the Long Range Climate Prediction Center (CPC) forecasts of precipitation and temperature, t Add to Reading List Source URL: www.nws.noaa.gov Language: English - Date: 2013-12-23 15:38:54 Statistical forecasting Time series analysis Data analysis Forecasting Tar NetCDF National Weather Service Atmospheric sciences Statistics Meteorology
924	Incorporating Scale and Predictability Information in Multi-model Ensemble Climate Predictions Investigators: • Timothy DelSole (PI), George Mason University • Michael Tippett, International Research Institute • Hu Add to Reading List Source URL: www.cpc.noaa.gov Language: English - Date: 2011-04-20 09:45:42 Time Predictability Forecasting Ensemble forecasting Statistical forecasting Statistics Prediction
925	Seasonal Prediction for Ecosystems and Carbon Cycle Using NCEP/CFS and a Dynamic Vegetation Model Ning Zeng (PI), Eugenia Kalnay (co-PI) Dept. of Atmospheric and Oceanic Sciences and Earth System Science Interdisciplinar Add to Reading List Source URL: www.cpc.noaa.gov Language: English - Date: 2012-06-29 14:39:14 Prediction Statistical forecasting Forecasting Data assimilation Carbon cycle Hindcast Climate Soil Moisture Active and Passive mission Ensemble forecasting Atmospheric sciences Meteorology Weather prediction
926	Progress Report for Proposal GC09-532: DEVELOPMENT OF SUBSEASONAL ENSEMBLE FORECAST TECHNIQUES 21 July 2010 Principal Investigator: Siegfried Schubert GMAO/GSFC/NASA Add to Reading List Source URL: www.cpc.noaa.gov Language: English - Date: 2011-07-20 15:32:14 Statistical forecasting Science ESMF Hindcast Ensemble forecasting Goddard Space Flight Center Atmospheric sciences Weather prediction Meteorology
927	2. Abstract The North American Multi-Model Ensemble (NMME) forecasting project has been continuously producing seasonal forecasts since August[removed]Forecasts from the NMME, which brings together all the major U.S. clima Add to Reading List Source URL: www.cpc.noaa.gov Language: English - Date: 2014-06-26 13:50:25 Prediction Weather prediction Data analysis Forecasting Time series analysis Ensemble forecasting Quantitative precipitation forecast Statistical forecasting Atmospheric sciences Meteorology
928	Abstract The overarching goal of this collaborative effort is to improve the NCEP Climate Forecast System (CFS) forecast skill by enhancing the representation of soilhydrology-vegetation interactions through the use of t Add to Reading List Source URL: www.cpc.noaa.gov Language: English - Date: 2014-06-26 13:48:37 Prediction Weather prediction Ensemble forecasting Climate Hindcast Soil Forecasting Precipitation Statistical forecasting Atmospheric sciences Meteorology
929	Hydrol. Earth Syst. Sci., 18, 2657–2667, 2014 www.hydrol-earth-syst-sci.net[removed]doi:[removed]hess[removed] © Author(s[removed]CC Attribution 3.0 License. Global meteorological drought – Part 1: Probabil Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-07-24 06:37:35 Spaceflight FAPAR Photosynthesis Precipitation Ensemble forecasting Tropical Rainfall Measuring Mission Forecasting Rain INTEGRAL Statistical forecasting Atmospheric sciences Meteorology
930	Application of the Ensemble Optimum Interpolation in a North/Baltic Sea model: assimilating temperature and salinity profiles Weiwei Fu1, Jun She1, 1 and Shiyu Zhuang1 1 Center for Ocean and Ice (COI), Danish Meteorologi Add to Reading List Source URL: www.myocean.eu Language: English - Date: 2014-06-26 04:55:40 Weather prediction Oceanography Statistical forecasting Control theory Data assimilation Estimation theory Baltic Sea Skagerrak Salinity Physical geography Geography of Europe Earth

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