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[接上页] The WFO-Advanced system is a realization of the generic FX-Adva-nced (FSL X-window Advanced) system. Figure 1 illustrates the W-FO-Advanced components: .National and local data feeds .FSL's Local Analysis and Prediction System (LAPS) .Quantitative Precipitation Estimation and Segregation Using M-ultiple Sensors (QPE-SUMS) .Gegraphicl Information System (GIS) data .The interactive display system (D2D) .The AWIPS Forecast Preparation System (AFPS) .3-D visualization .Hydrological applications developed the NWS Office of Hydrolo-gy .A component that contains General X applications .Local Data Acquisition and Dissemination System (LDAD) The QPE-SUMS is new component included as part of a new develop-ment of a warning decision support system during Implementing A-rrangement # 14. Four tasks are included in the Statement of Work:1) the Local A-nalysis and Prediction System (LAPS),2) Warning Decision SupportSystem (WDSS), 3) Forecast Assistant System, and 4) continuinginteraction on earlier cooperative projects, such as data assim-ilation for a numerical weather prediction model. ┌─────────────────────────────── │.¨¨¨¨¨¨¨¨¨¨¨¨¨¨¨¨¨. │:┌──────┐: │:│Interactive │: │:│Display │: │┌──┐:│(D2D) │: │┌─────┐│LAPS│:└──────┘: ││Central │└──┘:┌───────┐┌──────┐:┌ ││Models│:│3-D ││AFPS│:│ ││and Data│┌──┐:│Visualization │││:│ │└─────┘│QPE-│:└───────┘└──────┘:└ │┌─────┐│SUMS│:┌───────┐┌──────┐: ││Local │└──┘:│Hydrological││General X │: ││Models│:│Applications││Applications│: ││and Data│┌──┐:└───────┘└──────┘: │└─────┘│GIS │.¨¨¨¨¨¨¨¨¨¨¨¨¨¨¨¨¨. ││Data│ │└──┘ └─────────────────────────────── ────────┐ │ │ │ │ │ │ ───────┐│ Dissemination ││ (LDAD)││ ───────┘│ │ │ │ │ │ │ │ ────────┘ Figure 1 WFO-Advanced ────────── Tasks will be undertaken by the FSL-CWB Joint TEAM working at t-he FSL facility in Boulder, Colorado, the NSSL-CWB Joint Teamworking at the NSSL facility in Norman, Oklahoma and by CWB sta-ff at the CWB facility in Taipei, Taiwan, as appropriate. ThisStatement for Work addresses only tasks that will be undertakenby the FSL-CWB Joint Team and the NSSL-CWB Joint Team under theterms of Implementing Arrangement #14 It describes the performa-nce period, deliverables, and resource requirements. 2.0-Task Descriptions ─────────── In tems of the overall program schedule, the following four tas-ks have been identified as being critical during the January 1to December 31,2002, time period. These are listed below, alongwith the proportion of resources that is to be allocated to eachtask. .Task #1 - Local Analysis and Predication System (LAPS)(25 %).Task #2 - Warning Decision Support System (WDSS) (40%) .Task #3 - Forecast Assistant System (30 %) .Task #4 - Continuing interaction on earlier cooperation proje-cts (5 %) These four tasks are described in more detail below. Task #1 - Local Analysis and Prediction System (LAPS) ─────────────────────────── The Local Analysis and Prediction System performs high - resolu-tion analyses and forecasts of the weather using both locally a-nd centrally available observations. LAPS is a resizable, relocatable system that utilizes a wide ra-nge of meteorological data, and near universal UNIX portability.FSL and CWB have developed basic LAPS analysis capability at CWBduring Implementing Arrangement #13. The LAPS analyses includeremote sensing data of narrowband radar, wideband radar the GMSstaellite for both IR data and visible data. Other data such asRAOBs, ACARS and cloud-drift winds were also included in the LA-PS analyses. Providing improvement and refinement to the cloudanalysis are crityical parts of the planned modeling implementa-tion. For Implementing Arrangement #14, FSL will continue working onthe analysis of remote sensing date from satellite and radars a-nd start the prediction part of the LAPS. With the LAPS cloud a-nalysis at CWB there is an opportunity for diabatic initializat-ion using a mesoscale model. Work at FSL with the MM5 model hasdemonstrated the value of starting the model with existing LAPSclouds and precipitation. This initial condition is termed "hotstart" referring to latent heat generating processes present inthe initial condition at model start time. Work in the US has s-hown that the model does not need to spin-up precipitation andtherefore predicts weather more accurately in the first 6 hours.FSL will apply the hot start technique using the balanced LAPSanalysis on a forecast model for a Taiwan LAPS domain. FSL alsowill provide LAPS training, documentation and technical supportduring the running of LAPS at CWB. |