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

Summary Period: June 2005 - Search String
Generated 11-Jul-2008 21:12 GMT

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

18         7.79%  ncep ensemble products
11         4.76%  spaghetti diagram
8          3.46%  ncep ensemble
7          3.03%  gfs ensemble
6          2.60%  ncep ensemble configuration
6          2.60%  ncep ensembles
5          2.16%  gfs ensembles
5          2.16%  spaghetti diagrams
4          1.73%  ncep ensemble south america
4          1.73%  spaghetti maps
3          1.30%  adjoint sensitivity
3          1.30%  mslp
3          1.30%  ncep ensemble product
3          1.30%  z. toth
2          0.87%  mref ncep
2          0.87%  ncep
2          0.87%  ncep forecast ftp
2          0.87%  ncep gfs ensemble
2          0.87%  ncep global ensemble
2          0.87%  ncep grib
2          0.87%  ncep lll
2          0.87%  noaa grib data
2          0.87%  probability isolines
2          0.87%  stephane vannitsem
2          0.87%  targeted observations field program
2          0.87%  toth and kalnay 1993
2          0.87%  wea[ens
2          0.87%  wrf4dvarassimilation
1          0.43%  %22zonal flow%22
1          0.43%  ... and z. toth 1994: removing growing errors in the analysis.
1          0.43%  10-day weather forecast for nova scotia
1          0.43%  20010714
1          0.43%  500mb height equals temperature
1          0.43%  ^[~ize
1          0.43%  adjoint model what
1          0.43%  adjoint sensitivity method book
1          0.43%  ams weather and forecasting norfolk
1          0.43%  anomaly correlation 500mb ncep
1          0.43%  ashvillenc
1          0.43%  assessment of the status of global ensemble prediction
1          0.43%  avnfps
1          0.43%  backwards in time modeling
1          0.43%  breeding of growing modes
1          0.43%  calibrated ncep ensemble forecasts by using center running mean bias
1          0.43%  cfs ensemble
1          0.43%  climatological 1000 500mb thickness and snow map
1          0.43%  clustering and tubing for ensemble prediction system
1          0.43%  confidence qpf
1          0.43%  cut off low
1          0.43%  daniel zhu emc
1          0.43%  data assimilation ensemble kalman filter
1          0.43%  david unger ncep
1          0.43%  derber et al. ...__noaa/nws tech. procedure bull. 449 16 pp.
1          0.43%  economic systems
1          0.43%  edward lorenz seminar predictability 1996
1          0.43%  emc papers adaptive observations
1          0.43%  ens
1          0.43%  ensemble averaging
1          0.43%  ensemble forecast
1          0.43%  ensemble forecasts
1          0.43%  ensemble gfs
1          0.43%  ensemble kalman
1          0.43%  ensemble kalman filter
1          0.43%  ensemble kalman filter difficulties
1          0.43%  ensemble mean and spread
1          0.43%  ensemble predictionatmospheremodel
1          0.43%  ensemble reference
1          0.43%  ensemble spaghetti south america
1          0.43%  ensemble workshop
1          0.43%  ensembles ncep
1          0.43%  eps maps
1          0.43%  eugenia kalnay
1          0.43%  examples of precipitation
1          0.43%  extreme events prediction
1          0.43%  forecast reliability
1          0.43%  ftp ncep help
1          0.43%  global forecasting model us ncep wind real-time
1          0.43%  how to do spaghetti diagram
1          0.43%  index of / site:ncep.noaa.gov
1          0.43%  jeff whitaker cdc
1          0.43%  jeff whitaker construction
1          0.43%  jeff whitaker xue wei
1          0.43%  kalnay 1996
1          0.43%  kalnay polar
1          0.43%  katz and murphy 1997
1          0.43%  kinetic energy
1          0.43%  loss of property annually to weather in washington
1          0.43%  menu navigation diagram
1          0.43%  michaud ncep
1          0.43%  minh nguy houston
1          0.43%  monte carlo of traffic light
1          0.43%  naefs ensemble
1          0.43%  ncep cycle times
1          0.43%  ncep ensemble configuration toth
1          0.43%  ncep ensemble data
1          0.43%  ncep ensemble forecasts
1          0.43%  ncep ensemble mean
1          0.43%  ncep ensemble mean anomaly 500mb
1          0.43%  ncep ensemble model output
1          0.43%  ncep ensemble page
1          0.43%  ncep gempak
1          0.43%  ncep grib data
1          0.43%  ncep grib ftp
1          0.43%  ncep grib parameter
1          0.43%  ncep grib software
1          0.43%  ncep mref
1          0.43%  ncep of florida
1          0.43%  noaa ensemble forecasts
1          0.43%  noaa grib
1          0.43%  noaa grib current
1          0.43%  numerical weather prediction advantages
1          0.43%  obs project
1          0.43%  parallel ensemble
1          0.43%  precipitation predictable
1          0.43%  predictability
1          0.43%  prediction analysis weather data probabilistic statistical
1          0.43%  probabilistic forecasting creating boundaries
1          0.43%  product ensemble ncep
1          0.43%  quantitative precipitation forecasts models
1          0.43%  ralph j parrish
1          0.43%  related:https://www.fnmoc.navy.mil/public/
1          0.43%  robert gall first appraisal
1          0.43%  sean white navy
1          0.43%  sgi62 noaa
1          0.43%  spaghetti
1          0.43%  spaghetti graphic
1          0.43%  stephen lorddirector general of ncep environmental modeling center
1          0.43%  steve schotz
1          0.43%  subset with highest occurence frequency
1          0.43%  targeted observations for improved weather forecasts
1          0.43%  the use of targeted observations in
1          0.43%  thorpex ipy toth
1          0.43%  toth and kalnay 1995
1          0.43%  toth z. forecast
1          0.43%  vannitsem s
1          0.43%  web page navigation diagram
1          0.43%  what spaghetti diagram
1          0.43%  winter storm reconnaissance program
1          0.43%  www.ncep.gov
1          0.43%  xuguang wang resume
1          0.43%  z250
1          0.43%  ze}
1          0.43%  zhao-xia pu
1          0.43%  zhu emc
1          0.43%  zoltan toth ncep


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