Surface Ob Issues in RTMA/URMA

Slides:



Advertisements
Similar presentations
LAPS Analysis & Software by Steve Albers. 2 Basic Solution LAPS coupled with MM5 NWP model Use diabatic initialization (“hot start”) Utilize parallel.
Advertisements

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.
RTMA (Real Time Mesoscale Analysis System) NWS New Mesoscale Analysis System for verifying model output and human forecasts.
Brian Ancell, Cliff Mass, Gregory J. Hakim University of Washington
Jeff Ator.  Convert incoming observational data of varying types and formats into BUFR for NCEP observational database in /dcom/us  49 different.
Global Forecast System (GFS) Model Previous called the Aviation (AVN) and Medium Range Forecast (MRF) models. Global model and 64 levels Relatively primitive.
“1995 Sunrise Fire – Long Island” Using an Ensemble Kalman Filter to Explore Model Performance on Northeast U.S. Fire Weather Days Michael Erickson and.
This presentation will guide you though the initial stages of installation, through to producing your first report Click your mouse to advance the presentation.
UKmet February Hybrid Ensemble-Variational Data Assimilation Development A partnership to develop and implement a hybrid 3D-VAR system –Joint venture.
Dr Mark Cresswell Model Assimilation 69EG6517 – Impacts & Models of Climate Change.
Warn on Forecast Briefing September 2014 Warn on Forecast Brief for NCEP planning NSSL and GSD September 2014.
An Overview of Meteorological Observations in BUFR Format (including “PrepBUFR” files) Stacie Bender NWS/NCEP/EMC GSI Tutorial June.
Accessing and Utilizing AMDAR Data for NWP Applications David R. Helms Office of Science and Technology NOAA National Weather Service AMDAR Regional Workshop.
Rapidly Updating Analysis (The RUA White Paper) Stephen Lord – NWS Affiliate Acknowledgements: Brad Colman NWS SSD Chiefs Stan Benjamin Geoff DiMego Ken.
Update on Dropout Team Work and Related COPC Action Items Presented by Dr. Bradley Ballish Co-Chair JAG/ODAA and Dropout Team* Member 16 November 2010.
VERIFICATION OF NDFD GRIDDED FORECASTS IN THE WESTERN UNITED STATES John Horel 1, David Myrick 1, Bradley Colman 2, Mark Jackson 3 1 NOAA Cooperative Institute.
5/31/2016 Y.-R.Guo 1, X. X. Ma 1, H.-C. Lin 2, C.-T. Terng 2, Y.-H. Kuo 1 1 National Center for Atmospheric Research (NCAR) 2 Central Weather Bureau, 64.
Operational Deployment of Datasets ATS 690 Jason Burks Holly Allen.
AMB Verification and Quality Control monitoring Efforts involving RAOB, Profiler, Mesonets, Aircraft Bill Moninger, Xue Wei, Susan Sahm, Brian Jamison.
The IEM-KCCI-NWS Partnership: Working Together to Save Lives and Increase Weather Data Distribution.
Requirements from KENDA on the verification NetCDF feedback files: -produced by analysis system (LETKF) and ‘stat’ utility ((to.
ADAS / Situational Awareness & Collaborative Activities Henry Steigerwaldt SOO WFO Nashville, TN (MAR ) NASA SPoRT Center Partners’ Meeting.
Observing System Monitoring Center (OSMC) Status Update April 2005 Steve Hankin – PMEL (co-PI) Kevin Kern – NDBC (co-PI)
Part II  Access to Surface Weather Conditions:  MesoWest & ROMAN  Surface Data Assimilation:  ADAS.
An Alternative Plan Virgil Bierschwale. Redesign Effort? In the “Outline of Redesign Effort” proposal that I received from Scott Henson, we find a massive.
RAINEX Data Management UCAR Joint Office for Science Support José Meitín Jim Moore Dick Dirks UCAR Joint Office for Science Support José Meitín Jim Moore.
WRF Four-Dimensional Data Assimilation (FDDA) Jimy Dudhia.
Scatterometers at KNMI; Towards Increased Resolution Hans Bonekamp Marcos Portabella Isabel.
P1.7 The Real-Time Mesoscale Analysis (RTMA) An operational objective surface analysis for the continental United States at 5-km resolution developed by.
Utilizing your School Network John McLaughlin KCCI-TV, Des Moines, IA Daryl Herzmann Iowa State University.
Update on Dropout Team Work and Related COPC Action Items Presented by Dr. Bradley Ballish Co-Chair JAG/ODAA and Member of Dropout Team 5 May 2010 COPC.
Observation Data Requirements for Surface Transportation Dr. Jim O’Sullivan National Weather Service – Office of Climate, Water, and Weather Services NOAA.
CPC Unified Precipitation Project Pingping Xie, Wei Shi, Mingyue Chen and Sid Katz NOAA’s Climate Prediction Center
MADIS Airlines for America Briefing Meteorological Assimilated Data Ingest System (MADIS) FPAW Briefing Steve Pritchett NWS Aircraft Based Observations.
IHOP_2002 DATA MANAGEMENT UPDATE Steve Williams UCAR/Joint Office for Science Support (JOSS) Boulder, Colorado 2 nd International IHOP_2002 Science Workshop.
DATA ASSIMILATION M. Derkova, M. Bellus, M. Nestiak.
NFUSE Conference Call 4/11/07 How Good Does a Forecast Really Need To Be? David Myrick Western Region Headquarters Scientific Services Division.
Status of AMDAR Implementation in Japan, Forecast Department, Japan Meteorological Agency Prepared for APSDEU-6 Seoul, Korea, 1 June 2005.
Action Item NCEP Central Operations 4-5 November 2015 COPC – Fall 2015.
NOAA’s Surface Weather Program and the Meteorological Assimilation Data Ingest System (MADIS) National Weather Service Partners Meeting June 6, 2006 Mike.
Wind Gust Analysis in RTMA Yanqiu Zhu, Geoff DiMego, John Derber, Manuel Pondeca, Geoff Manikin, Russ Treadon, Dave Parrish, Jim Purser Environmental Modeling.
NCAR April 1 st 2003 Mesoscale and Microscale Meteorology Data Assimilation in AMPS Dale Barker S. Rizvi, and M. Duda MMM Division, NCAR
4 th JCSDA Science Workshop, 31 May – 1 June 2006 Broadband Satellite-Like (Infrared) Cloud Products from NCEP Models and Preliminary Cloud Verification.
Assimilation of AIRS SFOV Profiles in the Rapid Refresh Rapid Refresh domain Haidao Lin Ming Hu Steve Weygandt Stan Benjamin Assimilation and Modeling.
MDL Requirements for RUA Judy Ghirardelli, David Myrick, and Bruce Veenhuis Contributions from: David Ruth and Matt Peroutka 1.
Rapid Update Cycle-RUC. RUC A major issue is how to assimilate and use the rapidly increasing array of offtime or continuous observations (not a 00.
NCEP Dropout Team Briefing JAG/ODAA Meeting OFCM October 2008 “Where America’s Climate, Weather and Ocean Prediction Services Begin” Jordan Alpert, Bradley.
MoPED temperature, pressure, and relative humidity observations at sub- minute intervals are accessed and bundled at the University of Utah into 5 minute.
Meteorological Development Lab (MDL) FY15-16 Overview + Future (Direction and Challenges) Dr. Mike Farrar Director, Meteorological Development Lab (MDL)
OFCM CEISC December 12, 2005 Non-Traditional and Non-WMO Observational Networks: Transitioning of the Meteorological Assimilation Data Ingest System (MADIS)
Deutscher Wetterdienst FE VERSUS 2 Priority Project Meeting Langen Use of Feedback Files for Verification at DWD Ulrich Pflüger Deutscher.
The National Weather Service Goes Geospatial – Serving Weather Data on the Web Ken Waters Regional Scientist National Weather Service Pacific Region HQ.
Global vs mesoscale ATOVS assimilation at the Met Office Global Large obs error (4 K) NESDIS 1B radiances NOAA-15 & 16 HIRS and AMSU thinned to 154 km.
US NWS Data Monitoring Robert Grumbine Diane Stokes, Jeff Whiting, John Derber, Steve Levine, Dennis Keyser, Joe Sienkiewicz,
Use of high resolution global SST data in operational analysis and assimilation systems at the UK Met Office. Matt Martin, John Stark,
Station lists and bias corrections Jemma Davie, Colin Parrett, Richard Renshaw, Peter Jermey © Crown Copyright 2012 Source: Met Office© Crown copyright.
June 20, 2005Workshop on Chemical data assimilation and data needs Data Assimilation Methods Experience from operational meteorological assimilation John.
Breakout Session 3: Analysis Strategies Charge(s): –Identify and evaluate the current capabilities to develop AORs –Recommendations on overcoming current.
A new way of looking at things, doing things…and some new things.
Jason Levit NOAA NextGen Weather Program June, 2013
Using RTMA Analysis to Substitute for Missing Airport Observations
Cloud & Visibility Improving Aviation Services Together
WRF Four-Dimensional Data Assimilation (FDDA)
Rapid Update Cycle-RUC
Mike Bettwy Aviation Weather Center August 2016
Winter storm forecast at 1-12 h range
Rapid Update Cycle-RUC Rapid Refresh-RR High Resolution Rapid Refresh-HRRR RTMA.
Lidia Cucurull, NCEP/JCSDA
Mareile Wolff1 with input from Cristian Lussana2 and Thomas Nipen3
Airborne Weather Sensors
Presentation transcript:

Surface Ob Issues in RTMA/URMA Steve Levine Systems Research Group and NOAA/NWS/NCEP/EMC NCEP Production Suite Review 2015

Real Time Mesoscale Analysis (RTMA) Gridded (NDFD resolution) hourly near real time surface fields for situational awareness, verification, ‘analysis of record’ Used for tuning National Blend, initial forecast grid population Use all available surface obs and near-surface satellite wind obs over water Mesonet (MADIS Integrated mesonet feed) METAR Surface Synoptic Surface Ship Buoy ASCAT winds Satellite winds over water and below 850 hPa Assimilate obs with background field (short-term forecast, RAP/NAM/HRRR) Un-Restricted mesoscale analysis (URMA) runs 6 hours later to pick up latent data (also includes min/maxT) Overlap, duplicate, and quality issues with and across all types!! Added near-surface satellite winds, and ASCAT winds

Data Processing for RTMA Satellite ingest scripts BUFR Tanks /dcom Different tanks/dumps for different types - not cross checked GTS NCO/PMB EMC/MMB tranjb dumpjb Gather data decode NWSTG/ TOC/ “Gateway” Station dictionaries Dump Files LDM TNC Satellite ingest scripts “Katz” scripts/EMC tranjb Conventional data Non-conventional Data MADIS LDM PREPDATA Prevents SYNDATA CQCBUFR PROFCQC CQCVAD PREPACQC ACARSQC PREPBUFR Analysis (GSI QC happens here) Parm cards Radar ROC SMS job queries NESDIS servers for new data BUFR mnemonic table Global (not RTMA) Guess (perhaps relocated) NESDIS tcvitals FTP *original slide from Dennis Keyser (EMC) Outside NCEP Inside NCEP

Observational (mostly mesonet) Data Issues Anybody can set up a mesonet site with little training, knowledge, warning CWOP, Weatherbug obs dominate the station counts Lack of consistent siting, equipment standards Also many DOT, University sponsored mesonets (generally more reliable) Many different mesonet providers, but we mostly treat them all the same Should we? All mesonets weighted the same, less than METAR via GTS/TOC (obs weighted by type) Sites MADIS collects overlap with other data sources METAR/AWOS sites, NOS sites, some buoys Duplicate checking tough to do between ob types What’s a bad/unrepresentative ob? On what scale? How do we find them? Who do we call when we find a bad ob? You see obs we don’t (or don’t want to see) We see obs you don’t For non-mesonets, station dictionaries must be updated (requires RFC)

Quality Control in RTMA/URMA right now MADIS MADIS marks of reject (X) are flagged but monitored Prepbufr SDMedit reject list for non-mesonet data (dynamic, updated instantly by/through SDM but requires manual intervention) GSI ‘Gross error’ O-B check (relaxed by terrain, buddy check for temp) Provider/subprovider accept lists and Station-based reject/accept lists for mesonets (static, required RFC to change) (StationID based) Dynamic reject list (O-B last 6 hours) “Variational” QC (problems with 2+ obs/hour/station) Data could also ‘fall on floor’ during decoding or ingest Wrong type, dictionary not updated, etc. Added Provider/subprovider accept lists

Data ‘Falling on the Floor’ WFOs pulling their obs from private/individual providers on their own e.g. We do NOT get data from Weather Underground Obs are not rebroadcast in way NCEP can receive Easiest solution: Put ob into CWOP (run out of MADIS) RTMA cutoff time is XX:30 UTC for XX UTC analysis Generally occurs during mesonet decoding/tanking process Many obs come in late all or some of the time URMA largely solves this issue (cutoff time is XX+6:30 for XX UTC) Processing challenges/issues at provider, MesoWest or MADIS itself Mesonets are ‘data of opportunity’ Ob ‘occasionally’ missing Used in hourly analyses when available, but left out of min/maxT

A Typical RTMA Query: Usual Answers: “Why doesn’t the RTMA/URMA match the value of my favorite ob? How do you expect us to use this when it doesn’t match our obs (like MatchObsAll)?” (sometimes: “Don’t you know we maintain this ASOS site?!”) Usual Answers: We didn’t get your ob (or it didn’t get here in time) Your ob failed a quality control test Your ob got lost somewhere or was mistakenly pulled at a duplicate Your ob was counterweighted by other nearby obs and/or background field Your ob is not perfect (even if it is an ASOS you maintain) “Whaddya mean it’s not your favorite ob too?!”

RTMA over DC/Potomac River All plots are from RTMA, 7/16/15, 05Z

You are here Reagan Nat’l Airport (KDCA) Ft. Belvoir (KDAA)

Now with ALL obs Reagan Nat’l Airport (ASOS)

Background Field BG does not show ob-ob differences here

Increments (Analysis - Background) 1F increment intervals 8-10 km wide Increments between obs are ‘washed out’

Restricted/invisible mesonets! Ob and analysis values Site ID Observed Background Analysis KDCA 72.1 69.9 69.0 AS102 69.7 AXDRA FTWSH 69.2 WSHNP 69.1 68.7 FTBMR 67.9 ALEXD KDAA 70.6 69.5 Restricted/invisible mesonets!

Impact of ob missing from maxT, but included in hourly analyses

Future QC Possibilities CLARUS QC Developed by NCAR/USDOT (see document) To be sent out by MADIS starting mid 2016 (decoder upgrade?) Ob processing changes SDMedit to allow mesonets (but manual effort still needed to change) Time series QC - look at previous analyses? Cross-tank or cross-type duplicate checking Buddy check from WRFDA (implemented by Jacob Carley) Currently lets obs in for temperature that match buddies, ignores O-B Expand usage to throw obs out? Use for other variables? Mesonet metadata database Funded by National Mesonet, includes sensor info where available mySQL format (not immediately compatible with WCOSS) Combine with O-B stats, generate QC lists (already happening some)

Where to submit feedback or ask questions (shameless self-promotion) aor-rtma@infolist.noaa.gov - RTMA/URMA listserver (best option if seen in RTMA) National Blend of Models VLab page/forum (email w/o @noaa.gov to login) national.blend.feedback@noaa.gov - email handle for NBM VLab forum ncep.list.decoders-support@noaa.gov - Decoder/ingest group ncep.list.obsproc_support@noaa.gov - Obs Processing/BUFR issues

Links with further information... NCEP Data Processing (Keyser) RTMA/URMA overview (focus on April 2015 upgrade - made for SOOs/field) Overview of January 2016 upgrade (made for EMC Director) RTMA/URMA and ob NBM viewer (email w/o @noaa.gov to login, click “Daily Analysis Review”) Citizen Weather Observing Program MADIS (see “Integrated Mesonet”) MesoWest (large aggregator, more mesonet research from Univ of Utah)