Usage Statistics for GMB ENS at www.emc.ncep.noaa.gov

Summary Period: May 2004 - Search String
Generated 11-Jul-2008 21:03 GMT

         Hits      Search String
----------------  ----------------------

30        13.51%  climate
17         7.66%  spaghetti diagram
9          4.05%  gfs ensemble
9          4.05%  mask
7          3.15%  lacey holland
7          3.15%  spaghetti diagrams
6          2.70%  climate-
5          2.25%  ncep ensembles
4          1.80%  ensemble precip
4          1.80%  ncep ensemble
3          1.35%  climate -
3          1.35%  gfs ensemble spaghetti
2          0.90%  11th conference on numerical weather prediction
2          0.90%  bug
2          0.90%  comparison of 4dvar and enkf
2          0.90%  ensemble forecasting
2          0.90%  ensemble forecasts
2          0.90%  ensemble transformation and adaptive observations.
2          0.90%  ensembles ncep
2          0.90%  forecast reliability
2          0.90%  gfs ensembles
2          0.90%  global ensemble forecasting ncep
2          0.90%  model resolution information from grib file
2          0.90%  ncep gfs ensemble plots
2          0.90%  ncep global ensemble
2          0.90%  ncep grib
2          0.90%  ncep user workshop ensemble
2          0.90%  statistics of extreme events compared to mean
1          0.45%  %5cdifference between
1          0.45%  (definition of skill in predicting weather)
1          0.45%  17th ams conference
1          0.45%  3d tr-
1          0.45%  72 hour weather forecast reliability
1          0.45%  adjoint sensitivity
1          0.45%  africa precipitation chart
1          0.45%  alaska precipitation probability
1          0.45%  be the mask
1          0.45%  bishop weather ensemble
1          0.45%  clear air turbulance forecast
1          0.45%  cost-loss model
1          0.45%  edwin danaher
1          0.45%  emc ensemble
1          0.45%  emc noaa ensemble
1          0.45%  emc sensitivity
1          0.45%  ensemble forecasts disadvantages
1          0.45%  ensemble kalman filter guidance for forecast
1          0.45%  ensemble microwave
1          0.45%  ensemble ncep
1          0.45%  error covariance costfunction weight
1          0.45%  extreme events statistics spatial
1          0.45%  extreme weather earthquake
1          0.45%  flow lead time
1          0.45%  forecast ncep postprocessing
1          0.45%  forecats methodology
1          0.45%  gfs ensemble data
1          0.45%  gfs ensemble forecast
1          0.45%  gfs ensemble forecasts
1          0.45%  gfs ensembles ncep
1          0.45%  gfs spaghetti ensemble
1          0.45%  gifs de zero
1          0.45%  grib
1          0.45%  grib decoding
1          0.45%  grib index files ncep server
1          0.45%  hawaii precipitation
1          0.45%  how to do a spaghetti diagrams
1          0.45%  images-
1          0.45%  improved results for probabilistic quantitative
1          0.45%  inverse tangent linear pu
1          0.45%  kalnay 1996
1          0.45%  kalnay breeding
1          0.45%  kalnay ncep
1          0.45%  linnae neyman
1          0.45%  mrf 850mb mean ensemble temperature
1          0.45%  ncep
1          0.45%  ncep %22probabilistic precipitation%22
1          0.45%  ncep emc ensemble
1          0.45%  ncep ensemble emc
1          0.45%  ncep ensemble forecasts
1          0.45%  ncep ensemble members
1          0.45%  ncep ensemble products
1          0.45%  ncep ftp
1          0.45%  ncep grib files
1          0.45%  ncep noaa ensemble
1          0.45%  ncep spaghetti
1          0.45%  nmc 3d-var data assimilation system
1          0.45%  no bug
1          0.45%  nonlinear time series florida flood prediction methods
1          0.45%  on the meso scales
1          0.45%  operational ensemble prediction
1          0.45%  opportunity-driven hrd
1          0.45%  pearson type iii t scores
1          0.45%  pgrb ncep
1          0.45%  picture-
1          0.45%  precipitation in bosnia
1          0.45%  predictable height chart
1          0.45%  predicting rare events weather
1          0.45%  predicting weather definition
1          0.45%  prediction of extreme temperature events
1          0.45%  quantitative precipitation fo-
1          0.45%  quantitative precipitation forecast
1          0.45%  quantitative precipitation-
1          0.45%  richard wobus
1          0.45%  software tool of jma for kalman filter forecast technique
1          0.45%  source spaghetti
1          0.45%  spaghetti
1          0.45%  spaghetti chart
1          0.45%  spaghetti graphic
1          0.45%  t62 resolution
1          0.45%  tangent linear and adjoint
1          0.45%  tangent linear model
1          0.45%  time difference
1          0.45%  uncertainty equal resolution
1          0.45%  xuguang wang
1          0.45%  z score use benefits observations


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