Status and Plans for the RSA LAPS/MM5 Implementation – July 2005 John McGinley, Steve Albers*, Ed Szoke*, Dan Birkenheuer NOAA Forecast Systems Laboratory.

Slides:



Advertisements
Similar presentations
Weather Research & Forecasting: A General Overview
Advertisements

Customization of a Mesoscale Numerical Weather Prediction System for Energy & Utility Applications Anthony P. Praino and Lloyd A. Treinish Deep Computing.
Report of the Q2 Short Range QPF Discussion Group Jon Ahlquist Curtis Marshall John McGinley - lead Dan Petersen D. J. Seo Jean Vieux.
WRF Modeling System V2.0 Overview
LAPS Analysis & Software by Steve Albers. 2 Basic Solution LAPS coupled with MM5 NWP model Use diabatic initialization (“hot start”) Utilize parallel.
Rapid Refresh and RTMA. RUC: AKA-Rapid Refresh A major issue is how to assimilate and use the rapidly increasing array of off-time or continuous observations.
Recent performance statistics for AMPS real-time forecasts Kevin W. Manning – National Center for Atmospheric Research NCAR Earth System Laboratory Mesoscale.
Application of Numerical Model Verification and Ensemble Techniques to Improve Operational Weather Forecasting. Northeast Regional Operational Workshop.
January 24, 2005 The LAPS “hot start” Initializing mesoscale forecast models with active cloud and precipitation processes Paul Schultz NOAA Forecast Systems.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
The Puget Sound Regional Environmental Prediction System: An Update.
Weather Research & Forecasting Model (WRF) Stacey Pensgen ESC 452 – Spring ’06.
Robert LaPlante NOAA/NWS Cleveland, OH David Schwab Jia Wang NOAA/GLERL Ann Arbor, MI 22 March 2011.
The Local Analysis and Prediction System (LAPS) Local Analysis and Prediction Branch NOAA Forecast Systems Laboratory Paul Schultz.
Hongli Jiang, Yuanfu Xie, Steve Albers, Zoltan Toth
“1995 Sunrise Fire – Long Island” Using an Ensemble Kalman Filter to Explore Model Performance on Northeast U.S. Fire Weather Days Michael Erickson and.
Incorporation of TAMDAR into Real-time Local Modeling Tom Hultquist Science & Operations Officer NOAA/National Weather Service Marquette, MI.
1. Outline RAMMB/CIRA Overview RAMMB/CIRA real-time product development & deployment environment GOES-R Proving Ground AWIPS II Overview AWIPS II Configuration.
March 14, 2006Intl FFF Workshop, Costa Rica Weather Decision Technologies, Inc. Hydro-Meteorological Decision Support System Bill Conway, Vice President.
Forecasting and Numerical Weather Prediction (NWP) NOWcasting Description of atmospheric models Specific Models Types of variables and how to determine.
Applied Meteorology Unit 1 An Operational Configuration of the ARPS Data Analysis System to Initialize WRF in the NWS Environmental Modeling System 31.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
LAPS blends a wide variety of national data sets and local data sets. For example, it can combine both national surface data and local mesoscale networks.
Status of RSA LAPS/MM5 System Sustainment John McGinley, Steve Albers*, Chris Anderson*, Linda Wharton NOAA Earth System Research Laboratory Global Systems.
Local Analysis and Prediction System Paul Schultz June 10, 1999.
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
MDSS Lab Prototype: Program Update and Highlights Bill Mahoney National Center For Atmospheric Research (NCAR) MDSS Stakeholder Meeting Boulder, CO 20.
TIM-GSD 13 June GSD Weather Modeling Efforts in Support of RSA Christopher J. Anderson ESRL/GSD/FAB 10-km grid valid 09 UTC 12 Jun1.1-km grid valid.
CMAQ Runtime Performance as Affected by Number of Processors and NFS Writes Patricia A. Bresnahan, a * Ahmed Ibrahim b, Jesse Bash a and David Miller a.
Go to: FOR MORE INFO... Local Data Ingest and Verification of the WsEta at WFO Miami Pablo Santos.
GLFE Status Meeting April 11-12, Presentation topics Deployment status Data quality control Data distribution NCEP meeting AirDat display work Icing.
THORPEX Interactive Grand Global Ensemble (TIGGE) China Meteorological Administration TIGGE-WG meeting, Boulder, June Progress on TIGGE Archive Center.
ARGONNE NATIONAL LABORATORY Climate Modeling on the Jazz Linux Cluster at ANL John Taylor Mathematics and Computer Science & Environmental Research Divisions.
Outline Background Highlights of NCAR’s R&D efforts A proposed 5-year plan for CWB Final remarks.
Soil moisture generation at ECMWF Gisela Seuffert and Pedro Viterbo European Centre for Medium Range Weather Forecasts ELDAS Interim Data Co-ordination.
Seasonal Modeling (NOAA) Jian-Wen Bao Sara Michelson Jim Wilczak Curtis Fleming Emily Piencziak.
3 rd Annual WRF Users Workshop Promote closer ties between research and operations Develop an advanced mesoscale forecast and assimilation system   Design.
Higher Resolution Operational Models. Major U.S. High-Resolution Mesoscale Models (all non-hydrostatic ) WRF-ARW (developed at NCAR) NMM-B (developed.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
2006(-07)TAMDAR aircraft impact experiments for RUC humidity, temperature and wind forecasts Stan Benjamin, Bill Moninger, Tracy Lorraine Smith, Brian.
GFE - OPC Status and Overview TPC/NHC optimized WNOR side for OPC GFE usage – 12.5 km grids – 2 domains - Atlantic and Pacific covering High Seas, Offshores,
APPLICATION OF NUMERICAL MODELS IN THE FORECAST PROCESS - FROM NATIONAL CENTERS TO THE LOCAL WFO David W. Reynolds National Weather Service WFO San Francisco.
Title_Sli de Quality Controlling Wind Power Data for Data Mining Applications Gerry Wiener Research Applications Laboratory Software Engineering Assembly,
MADIS Airlines for America Briefing Meteorological Assimilated Data Ingest System (MADIS) FPAW Briefing Steve Pritchett NWS Aircraft Based Observations.
Status and Plans for the RSA LAPS/MM5 Implementation – July 2004 Brent Shaw*, John McGinley, Steve Albers* NOAA Forecast Systems Laboratory *In collaboration.
Welcome to the PRECIS training workshop
RTFDDA Engineering System Architecture Input Data Cycle Timing.
LAPS Applications: High Resolution LAPS is used to initialize WRF model runs and other systems around the globe LAPS RSA (Range Standardization And Automation.
 Federal Aviation Administration’s Notice of Proposed Rulemaking on certification of aircraft for operation in supercooled large drop (SLD) icing conditions.
Local Analysis and Prediction System (LAPS) Technology Transfer NOAA – Earth System Research Laboratory Steve Albers, Brent Shaw, and Ed Szoke LAPS Analyses.
August 6, 2001Presented to MIT/LL The LAPS “hot start” Initializing mesoscale forecast models with active cloud and precipitation processes Paul Schultz.
Local Analysis and Prediction System (LAPS) Technology Transfer NOAA – Earth System Research Laboratory Steve Albers, Brent Shaw, and Ed Szoke LAPS Analyses.
Local Analysis and Prediction System (LAPS) Purpose/HistoryDesign Implementation Details Dan Birkenheuer Forecast Systems Lab Boulder, CO
Representation of low clouds/stratus in Aladin/AUT: Ongoing work and Outlook.
15 June 2005RSA TIM – Boulder, CO Hot-Start with RSA Applications by Steve Albers.
Slides for NWS/SR meeting John, Two of the graphics have specific background color schemes, the rest will inherit whatever scheme you choose for the master.
Intelligent Use of LAPS • By • Ed Szoke • 16 May 2001.
National Weather Service Houston/Galveston Lance Wood Science and Operations Officer Assessing the Impact of MODIS SST Utilizing a local WRF.
Software Development LAPS Workshop Oct 25-27, 2010 More info (including Forum) at: OAR/ESRL/GSD/Forecast.
AMPS Update – July 2010 Kevin W. Manning Jordan G. Powers Mesoscale and Microscale Meteorology Division NCAR Earth System Laboratory National Center for.
NWS Alaska Region, GSD, with input from AWC
GSD Satellite Overview
NOAA - LAPS Albers, S., 1995: The LAPS wind analysis. Wea. and Forecasting, 10, Albers, S., J. McGinley, D. Birkenheuer, and J. Smart, 1996:
HYCOM CONSORTIUM Data and Product Servers
Paul Schultz NOAA Forecast Systems Laboratory
Winter storm forecast at 1-12 h range
Local Analysis and Prediction System (LAPS)
NWP Strategy of DWD after 2006 GF XY DWD Feb-19.
Start Hot-Start Section
Status of the Regional OSSE for Space-Based LIDAR Winds – Feb01
Presentation transcript:

Status and Plans for the RSA LAPS/MM5 Implementation – July 2005 John McGinley, Steve Albers*, Ed Szoke*, Dan Birkenheuer NOAA Forecast Systems Laboratory *In collaboration with the Cooperative Institute for Research in the Atmosphere (CIRA), Colorado State University, Fort Collins, Colorado

15 June 2005RSA TIM – Boulder, CO Overview Review of System Design Case Studies - Verification Work Accomplished Since 2004 TIM Recommended Schedule Issues Discussion

15 June 2005RSA TIM – Boulder, CO System Design Review Basic requirements – New 24-h forecast every 6 hours – High spatial resolution (1 km objective) – Support launch weather operations and range safety requirements for dispersion modeling – Integrate with display system (AWIPS) Trades considered – Size of domain and nesting options – Forecast length vs. scale predictability – Computational resources vs. cost-benefit – Future upgrade path

15 June 2005RSA TIM – Boulder, CO Basic Solution LAPS coupled with MM5 NWP model Use diabatic initialization (“hot start”) Utilize parallel code on Linux cluster Integrate with AWIPS in a modular fashion

15 June 2005RSA TIM – Boulder, CO AWIPS Integration AWIPS Data Server AWIPS Workstation Modeling Server NOAAPORTLDAD LAPS Anal/Fcst Grids Obs/Radar/Sat/NCEP

15 June 2005RSA TIM – Boulder, CO Hardware Configuration Linux Cluster Modeling Server – 1 master/8 compute nodes (18 processors) – Dual P-III 1GHz, 1GB RAM on each node – 60GB RAID array on front-end – Myrinet inter-connect Interacts with AWIPS DS via NFS LAPS analyses and 2-h MM5 update forecast run on master node 6-hourly MM5 and post-processing use compute nodes

15 June 2005RSA TIM – Boulder, CO LAPS Domain Configuration Triple Nest Domain – 97x97 – 10.0/3.3/1.1 km  x – 10km for Model Init – 3.3/1.1 for NowCasting LAPS Runs – Hourly analyses – 41 Pressure levels – Runs at H+20 min – Available at H+30 min

15 June 2005RSA TIM – Boulder, CO RSA LAPS Data Sources National Data (NOAAPORT SBN Feed) – Eta (Grids 211, 212, and 215) – Regional narrowband WSR-88D reflectivity – GOES imagery (Vis, SWIR, 2 LWIR) – MDCARS – RAOBs – METARs/Ship Reports/Buoys – National Profiler Network

15 June 2005RSA TIM – Boulder, CO RSA LAPS Data Sources Sea Surface Temperature Data – NCEP internet FTP feed – GFS model

15 June 2005RSA TIM – Boulder, CO RSA LAPS Data Sources Local Data (via LDAD) – Local wideband WSR-88D (Z and Vr) – Local ASOS Observations – 50/915 MHz Wind Profilers – MiniSODAR Wind Profiles – RASS – Tower observations – AMPS Soundings – Local MM5 forecast grids

15 June 2005RSA TIM – Boulder, CO MM5 Forecast Model MM5 v3 used for RSA application – Upgraded to release 3.5 in June 2002 – FSL modifications for diabatic initialization – FSL-developed runs scripts suitable for operations Concurrent post-processing – Supports multiple output formats – Allows viewing on workstation as model runs – Hourly temporal output

15 June 2005RSA TIM – Boulder, CO MM5 Forecast Model Two configurations for RSA – “Update” run to provide first guess for LAPS Used for “downscaling” national model Runs every hour out to 2 h on master node (serial) Initialized with national first guess (Eta forecast) and NCEP SST Domain 1 (10km) only Not displayed on AWIPS – Forecast run used for operational forecasts Diabatically intialized with LAPS Runs every 6 hours Triple nest (10/3/1.1) with forecasts out to 24/12/9

15 June 2005RSA TIM – Boulder, CO MM5 Run Configuration (Development System Config) 30-second timestep MRF PBL Scheme Explicit Schultz II microphysics on all domains 2-way feedback between nests Domain 1 initialized with LAPS (diabatic) Domains 2 and 3 interpolated from parent Lateral boundaries provided by NCEP Eta

15 June 2005RSA TIM – Boulder, CO 0-3 h QPF Verification

15 June 2005RSA TIM – Boulder, CO 0-6 h QPF Verification

15 June 2005RSA TIM – Boulder, CO 0-12 h QPF Verification

15 June 2005RSA TIM – Boulder, CO JAX WRF QPF Verification 0600 UTC +3, 6, and 9-h QPF Verification, 1 Oct 03 thru 4 May 04

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO Vertical Level Configuration 41  Levels

15 June 2005RSA TIM – Boulder, CO LAPS-MM5 Production Cycle National Model Forecast (Eta via SBN) MM5 Update Cycle (10km) 1-h Forecast for First Guess 2-9 h Forecast for IC/LBC 10-km LAPS Analysis 3.3-km LAPS Analysis 1.1-km LAPS Analysis Hourly Cycle MM5 Forecast (Every 6 h) - 10km to 24h to 12h to 9h Observations via SBN and LDAD Diabatic Init. Cond. Lateral Boundary Conditions

15 June 2005RSA TIM – Boulder, CO MM5 Forecast Run Timeline Valid Hour Actual Hour All 3 Domains (2.3:1 Ratio) 2 Domains (7.8:1 Ratio) 1 Domain (36:1 Ratio) Run time based on: 12 processors for model 1 processor for each post job

Cape Canaveral 6-hour QPF on 1-km Grid and Radar Verification 9 Feb 04

RSA Examples Eastern Range June 8, 2005

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO Series of plots for 15z 10 km run, model reflectivity is heavy cyan contours, observed is image

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO Analysis and beginning of the 21z/10 km run. Doesn’t get echoes to start.

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO 15z 3 km run

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO 15z 1 km run; at 1 km cells do develop faster

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO Next 2 are from 09z run. Seeing if it got the overnight land breeze line off the east coast.

15 June 2005RSA TIM – Boulder, CO

15 June 2005RSA TIM – Boulder, CO Build History RSA LAPS/MM5 V1: Dec 2001 – Initial installation at WR RSA LAPS/MM5 V2: Aug 2002 – Initial installation at ER – Included “easy” install CD, provided to LMMS RSA LAPS/MM5 V2.1: July 2003 – Delivered to LMMS on CD RSA LAPS/MM5 V2.2: July 2004 – Delivered to LMMS on CD

15 June 2005RSA TIM – Boulder, CO Current Status Current RSA status – Fully adapted to AS 2.1 OS – Testing criteria delivered to LM – Model status Improved Schultz microphysics Shallow Cu scheme

15 June 2005RSA TIM – Boulder, CO Current Activities Current activities – Data failure test simulated at FSL /data/fxa disk mount disabled for ~40 minutes Model forecast continued to run with degraded analysis Analyses were interrupted, changes since made to help prevent this

15 June 2005RSA TIM – Boulder, CO Next few month deliverables Deliverables (next few months) – New LAPS/MM5 build in July 2005 Accommodates AS 2.1/2.3 Deliver installation CD Test CD installation needed? (what procedure)?

15 June 2005RSA TIM – Boulder, CO Future Deliverables – MM5 to WRF transition – New modeler on staff July 18, 2005

15 June 2005RSA TIM – Boulder, CO Deficiencies in Build V2.1 Deficiencies: – TKE PBL schemes in MM5 under-predict diurnal temperature range – Microphysics require saturation in cloudy grid boxes

15 June 2005RSA TIM – Boulder, CO Accomplishments Since June 2004 TIM LAPS Analysis Improvements – QC flag codes now interpreted – Edit flag now checked for AMPS data – Dense SODAR levels processing improved – Met TOWER QC now applied

15 June 2005RSA TIM – Boulder, CO Accomplishments Since June 2004 TIM LAPS Analysis Improvements – Surface analysis parameters adjusted based on study of Hurricane Charlie – 3-D reflectivity mapping improved to minimize artifacts in high-resolution domains – Moisture analysis component changes to use GOES gradient structure

15 June 2005RSA TIM – Boulder, CO LAPS Moisture Variational Step now Relies on Satellite Gradients Other aspects of the moisture analysis have not changed The International H 2 O Project identified problems with satellite derived product moisture – (too moist, or more specifically moist biased) Two approaches are now underway to address this problem – Correct the bias problem in the GOES moisture data – Modify the analysis system to ignore this moisture bias by using moisture gradients from this source

15 June 2005RSA TIM – Boulder, CO The new approach is to utilize only satellite gradients in the analysis Old method New method Better structure Less moist bias

15 June 2005RSA TIM – Boulder, CO Accomplishments Since June 2004 TIM MM5 Forecast Improvements – Implementing daily GFS SST analyses Provides better forecasts than “pseudo-SST” Provides a first guess for LAPS SST analysis – Added TKE diagnosis to post-processor Allows use of better MRF PBL while still meeting need for TKE field for HYPACT integration – Updated scripts for new OS (Nov 2004) – Implemented new Schultz II microphysics – Deactivated K-F cumulus parameterization

15 June 2005RSA TIM – Boulder, CO Accomplishments Since June 2004 TIM Verification Package – Surface observations vs. MM5 forecast – Requires MySQL database – Interactive query capability Command line or web based User customization options – Being set up on development system for 10- km MM5 grids – Still testing interface scripts

15 June 2005RSA TIM – Boulder, CO Recommended Schedule Deliver LAPS/RSA v3.0 – July 2005 – CD delivery to LMMS with installation scripts – Includes all changes discussed previously Deliver LAPS/RSA v3.1 – Jan 2006? – Incorporate WRF forecast model – 30-minute analysis cycle – Adds AMPS ingest – improved verification package

15 June 2005RSA TIM – Boulder, CO Outstanding Issues FSL access to RTAMPS data Complete real-time data preferable to partial archived –Helps evaluate spatial distribution and QC performance Analysis bulls-eyes and QC –Land/sea weighting function NOAAPORT buoy data timing

15 June 2005RSA TIM – Boulder, CO Outstanding Issues (cont) Additional SST testing Ingest /Analysis of Soil sensor data Interface to GOES Sounder on NOAAPORT? 30-min LAPS cycle

15 June 2005RSA TIM – Boulder, CO Narrowband / Soil Narrowband (Level-III) radar – AWIPS to LAPS NetCDF converter needs repair Soil moisture – Overall Soil Moisture currently in Big File – Add other soil related fields? – What soil observations are at Ranges? – Data formats?

15 June 2005RSA TIM – Boulder, CO Verification Verification package – Can run on more powerful headnode Requires another software package (MySQL) Web server running on headnode for interactive displays Forecasters use web browser to access verification info Product reliability monitor will be included

15 June 2005RSA TIM – Boulder, CO Model output to AMU – Exportation of “bigfile” via ftp or LDAD – Multiple options possible Should model grids be enlarged? – More computer power may be needed for this

15 June 2005RSA TIM – Boulder, CO SBN data limitations – Partially mitigated by use of NCEP SST – LMMS EDS project should fully mitigate

15 June 2005RSA TIM – Boulder, COSummary July build on-track – Improved LAPS analysis with additional local data and improved algorithms – Better forecasts from new microphysics, better SST Apache server installed for verification display at ranges Continue planning for future

Discussion?