# Presentation: 690589

## SREF Products

- An Overview

##     
 In General 

     SREF products include 
         1. Regular forecast products 
           2. Aviation products 
                  - some need additional computation with some algorithms
     Each product has   
        1.GRIB212/104-extension format – CONUS grid file
          2.NCEP-BUFR format – 1300 station record file

    Some specific orders from customers
        1. Products for New England-Energy project 
          2. Surface aviation ensemble products  verification with TAF data
          3. Severe weather, winter wx, marine, hurricane, hydro, etc

** ****In General**
-      **SREF products include**
-          **1. Regular forecast products **
**           ****2. Aviation products **
-                   - some need additional computation with some algorithms
-      **Each product has **
-         **1.GRIB212/104-extension format – CONUS grid file**
**          ****2.NCEP-BUFR format – 1300 station record file**
-     **Some specific orders from customers**
-         **1. Products for New England-Energy project **
**          ****2. Surface aviation ensemble products  verification with TAF data**
**          ****3. Severe weather, winter wx, marine, hurricane, hydro, etc**

**ETA-output**

**ETA-output**

**ETA-output**

**RSM-output**

**RSM-output**

**RSM-output**

**ETA-post**

**RSMpost**

**GRIB-212 file**

**GRIB-212 file**

**GRIB-212 file**

**GRIB-212 file**

**GRIB-212 file**

**GRIB-212 file**

**SREF-post**

**SREF prods**
**GRIB-ext**
**Web Image**

**Aviation-post**

**Aviation **
**Prods**
**GRIB-ext**
**Web image**

**Products   Generation    Stages**

- Mdl output **files**

**Model-Post**

**posted-files**

**Ensemble-post**

**Products**

**BUFR-post**

**BUFR file**

**BUFR file**

**BUFR file**

**BUFR file**

**BUFR file**

**BUFR file**

**Ens. BUFR-post**

**SREF prods**
**BUFR**

-   15 individual

- 15 individual

##    

               Ensemble products are classified as 3 types

                      1. Mean and spread

                             Mean- averaged values among all ensemble members   
                             Spread- standard deviation of all ensemble members

                          2. Probability

                              The probability of event occurrence or exceeding same threshold

                          3. Spaghetti 

                             Graphic diagram – composed of contours for a specific value of all members 

**               ****Ensemble**** ****products are classified as 3 types**
**         **
**                      ****1. **_[Mean and spread](http://wwwt.emc.ncep.noaa.gov/mmb/SREF/FCST/COM/ens.2004051409/surface_prs_03.gif)_
**          **
**                             ****Mean- averaged values among all ensemble members   **
**                             ****Spread- standard deviation of all ensemble members**
**                          ****2. ****Probability**
**                              ****The probability of event occurrence or exceeding same threshold**
**                          ****3. ****Spaghetti**** **
**                             ****Graphic diagram – composed of contours for a specific value of all members**** **
**     **
**  **
**    **
**   **
**   **

## SREF Product list (GRIB-ext)

    Mean&spread(11)                  Probability(15)                                  Spaghetti(12)

   T (2m, 850,700mb)                         T2m>(75,80,85,90,100F)                            Surface pressure=(976,984,.....1008,1016mb)
    T-H-index(2m)                                T-H-Index>(70,75,80,85,90F)                      T2m=(-35,-30,..-5,0, 5,...30,35C)
    SLP                                                Td2m>(50,60,70,80,90F)                             500mb-hgt=(5220,5280,....5820,5880m)
    W(10m,850,250mb)                        W10m>(15,20,25,34,50 kn)                         T850mb=(-15,-10,-5,0,5,10,15C)
    RH(850,700mb)                              CAPE>(500,1000,2000,3000,4000J/kg)      1000-850mb thickness=(1240,1280,...1360m)
    Thickness(1000-850mb                  LI < (0,-4,-8 K)                                             850-700mb thickness=(1480,1500,...1560m)
                      850-700mb                   3hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)             1000-500mb thickness=(5160,5280,...5640m)
                    1000-500mb)                  6hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)             CAPE=(500,1000,2000,3000,4000 J/kg)
     Hgt(500mb, 250mb)                      12hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)            3hr-apcp=(0.1,0.25,0.5,1.2 in)
     APCP(3,6,12,24hr)                        24hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)            6hr-apcp=(0.1,0.25,0.5,1.2 in)
     Dominant precp(3hr)                     Precip types (rain, frozen-rain, snow)          12hr-apcp=(0.1,0.25,0.5,1.2 in)
     Snowfall(3,6,12,24hr)                    3hr-snowfall > (1,2.5,5,10,20 in)                  24hr-apcp=(0.1,0.25,0.5,1.2 in)
     Instability (CAPE,LI,IN)                  6hr-snowfall > (1,2.5,5,10,20 in) 
                                                           12hr-snowfall > (1,2.5,5,10,20 in
                                                           24hr-snowfall > (1,2.5,5,10,20 in)

-     ***Mean&spread(11)*****                  *****Probability(15)*****                                  *****Spaghetti(12)***
**   **T (2m, 850,700mb)                         T2m>(75,80,85,90,100F)                            Surface pressure=(976,984,.....1008,1016mb)
-     T-H-index(2m)                                T-H-Index>(70,75,80,85,90F)                      T2m=(-35,-30,..-5,0, 5,...30,35C)
-     SLP                                                Td2m>(50,60,70,80,90F)                             500mb-hgt=(5220,5280,....5820,5880m)
-     W(10m,850,250mb)                        W10m>(15,20,25,34,50 kn)                         T850mb=(-15,-10,-5,0,5,10,15C)
-     RH(850,700mb)                              CAPE>(500,1000,2000,3000,4000J/kg)      1000-850mb thickness=(1240,1280,...1360m)
-     Thickness(1000-850mb                  LI < (0,-4,-8 K)                                             850-700mb thickness=(1480,1500,...1560m)
-                       850-700mb                   3hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)             1000-500mb thickness=(5160,5280,...5640m)
-                     1000-500mb)                  6hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)             CAPE=(500,1000,2000,3000,4000 J/kg)
-      Hgt(500mb, 250mb)                      12hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)            3hr-apcp=(0.1,0.25,0.5,1.2 in)
-      APCP(3,6,12,24hr)                        24hr-apcp > (0.1,0.25,0.5,1.0, 2.0in)            6hr-apcp=(0.1,0.25,0.5,1.2 in)
-      Dominant precp(3hr)                     Precip types (rain, frozen-rain, snow)          12hr-apcp=(0.1,0.25,0.5,1.2 in)
-      Snowfall(3,6,12,24hr)                    3hr-snowfall > (1,2.5,5,10,20 in)                  24hr-apcp=(0.1,0.25,0.5,1.2 in)
-      Instability (CAPE,LI,IN)                  6hr-snowfall > (1,2.5,5,10,20 in)
-                                                            12hr-snowfall > (1,2.5,5,10,20 in
-                                                            24hr-snowfall > (1,2.5,5,10,20 in)
**              **

##  SREF Aviation Product List(GRIB-ext)

    Variable(12)                Product                            Level                       Algorithm

           Icing                    Prob  of occurrence                FL240,180,150,120            T-RH 
                                                                                       090,060,030,FL000                      
             Turbulence       Prob of occ(LGT,MDT,SVR)              FL420,390,360,330            Ellrod1992
                                                                                       300,270,240,FL210
             Cloud                  Mean/spread                                                                    Model-ouput
                                        Prob(ovrcst,scttr,brkn,clr)                         
             Visibility              Mean/spread                              Surface                         T-RH-Rain-Snow                   
             Ceiling                Mean/spread                              Surface                          Condition definition
             Flight-Restr        Prob(LIFR,IFR,MFFR,VFR)       Surface                          visib-ceiling-cloud
             Jet-stream          Prob(>60,80,100 knots)        4500,18000,34000ft            Model-output          
             10m-wind           Mean/spread                                                                     Model-output
                                        Prob(>10,20,30 knots)              10m                                 
             Max-wind            Mean/spread                                                                    Model-output
             LLWS                  Mean/spread                                                                   Vector-difference
            Tropopause         Mean/spread                                                                   Model-output
            Frozen-level         Mean/spread                                                                   Model-output
    Fog, SLD, Wind dir                                                                  To be added

-     **Variable(12)                Product                            Level                       Algorithm**
**           **Icing                    Prob  of occurrence                FL240,180,150,120            T-RH
-                                                                                        090,060,030,FL000
-              Turbulence       Prob of occ(LGT,MDT,SVR)              FL420,390,360,330            Ellrod1992
-                                                                                        300,270,240,FL210
-              Cloud                  Mean/spread                                                                    Model-ouput
-                                         Prob(ovrcst,scttr,brkn,clr)
-              Visibility              Mean/spread                              Surface                         T-RH-Rain-Snow
-              Ceiling                Mean/spread                              Surface                          Condition definition
-              Flight-Restr        Prob(LIFR,IFR,MFFR,VFR)       Surface                          visib-ceiling-cloud
-              Jet-stream          Prob(>60,80,100 knots)        4500,18000,34000ft            Model-output
-              10m-wind           Mean/spread                                                                     Model-output
-                                         Prob(>10,20,30 knots)              10m
-              Max-wind            Mean/spread                                                                    Model-output
-              LLWS                  Mean/spread                                                                   Vector-difference
-             Tropopause         Mean/spread                                                                   Model-output
-             Frozen-level         Mean/spread                                                                   Model-output
-   **  **Fog, SLD, Wind dir**                                                                  **To be added

## 

BUFR products

   BUFR format files are used to store point data such as observation data at stations

    BUFR files are associated with BUFR table to encode/decode

    SREF ETA BUFR files use ETA-BUFR  table 
              RSM BUFR files use RSM-BUFR table
              - bring un-convenience to the users 

    Now  both ETA and RSM BUFR files use same ETA BUFR table
         - easy to maintain for us
         - easy to decode or further process for the users

   Problem:

    Some variables have not been defined in BUFR by WMO yet 
        - Particularly, ensemble variables not been defined 
        - Wait for NCEP BUFR team, take time

**BUFR products**
**   ****BUFR format files are used to store point data such as observation data at stations**
**  **
**    ****BUFR files are associated with BUFR table to encode/decode**
**    ****SREF ETA BUFR files use ETA-BUFR  table **
**              ****RSM BUFR files use RSM-BUFR table**
**              ****- bring un-convenience to the users **
**    ****Now  both ETA and RSM BUFR files use same ETA BUFR table**
**         ****- easy to maintain for us**
**         ****- easy to decode or further process for the users**
**   *****Problem:***
**    ****Some variables have not been defined in BUFR by WMO yet **
**        ****- Particularly, ensemble variables not been defined **
**        ****- Wait for NCEP BUFR team, take time**
**         **
**      **
**         **
** **
**      **

## 
BUFR products (continue)

  Each individual BUFR file stores following data

  1. Profile data (ETA 60 levels, RSM 28 levels)
       U,V,W,T,Q,P, Cloud-water, TKE (only ETA)
   2. Surface data
     Nearly 50 variables, such as Psfc, Psea, T2m, Td2m, U10m,V10m, 
       Heat-fluxes, Radiation-fluxes, Precipitation, Snowfall, Helicity, Precip-types, 
       cloud-cover, cloud-base, Soil moist/temperature, ... etc.... 

   Users can make adding new variable request as long as it has
           been defined by WMO (check BUFR document)

  BUFR-mean/spread/prob
      Data retrieved from BUFR files are used to compute mean/spread/probability
       PLEASE NOTE:  the different profile levels between ETA and RSM  

**BUFR products (continue)**
**  **Each individual** **BUFR file stores following data
-   1. Profile data (ETA 60 levels, RSM 28 levels)
-        U,V,W,T,Q,P, Cloud-water, TKE (only ETA)
-    2. Surface data
-      Nearly 50 variables, such as Psfc, Psea, T2m, Td2m, U10m,V10m,
-        Heat-fluxes, Radiation-fluxes, Precipitation, Snowfall, Helicity, Precip-types,
-        cloud-cover, cloud-base, Soil moist/temperature, ... etc....
-    Users can make adding new variable request as long as it has
-            been defined by WMO (check BUFR document)
-   BUFR-mean/spread/prob
-       Data retrieved from BUFR files are used to compute mean/spread/probability
-        **PLEASE NOTE:**  the different profile levels between ETA and RSM

## 
Product Storage and display

   SREF system runs operationally 2 times (09z and 21z) a day
      - Regular and aviation products are automatically generated 2 times everyday also
        -The products are saved in GRIB-ext format and image format on NCEP server
        - IC/BC data are saved in NCEP HPSS disk and 
          Can be re-used in retrospective run if necessary     

   Both regular and aviation products are displayed on SREF website

      - Zooming in/out
        - Animation
      - Also linked to SREF doc, verification, evaluation, and ensemble training, references
      - Might have displaying problem using old browsers 

**Product Storage and display**
-    SREF system runs operationally 2 times (09z and 21z) a day
-       - Regular and aviation products are automatically generated 2 times everyday also
-         -The products are saved in GRIB-ext format and image format on NCEP server
-         - IC/BC data are saved in NCEP HPSS disk and
-           Can be re-used in retrospective run if necessary
-    Both regular and aviation products are displayed on SREF website
-       - Zooming in/out
-         - Animation
-       - Also linked to SREF doc, verification, evaluation, and ensemble training, references
-       - Might have displaying problem using old browsers

## Future Plan

  Expand to Alaska (this fall)

  Switch to new 32km-SREF system 
    - We are testing the new 32km SREF system with more diversity in physics
     - It will be implemented into operation by NCO this June
     - Then all SREF products will be generated with the new system
   Add new products
    - Upon the request from users

   Hope to corporate with FSL and Aviation Service Branch 
     - Verify with RTVS and TAF data

   WRF common post
     - Use only one post for all ensemble models
   Ensemble Mean/Spread/Prob BUFR 
     -Different levels of ETA and RSM
      -Current BUFR table not define ensemble data

-   Expand to Alaska (this fall)
-   Switch to new 32km-SREF system
-     - We are testing the new 32km SREF system with more diversity in physics
-      - It will be implemented into operation by NCO this June
-      - Then all SREF products will be generated with the new system
-    Add new products
-     - Upon the request from users
-    Hope to corporate with FSL and Aviation Service Branch
-      - Verify with RTVS and TAF data
-    WRF common post
-      - Use only one post for all ensemble models
-    Ensemble Mean/Spread/Prob BUFR
-      -Different levels of ETA and RSM
-       -Current BUFR table not define ensemble data