WISDOM System 2009 Proof of Concept Test Results Alexander E. MacDonald, Justyna Nicinska, Yuanfu Xie, Russell B. Chadwick NOAA Office of Oceanic and Atmospheric.

Slides:



Advertisements
Similar presentations
Robbie Hood, Alexander MacDonald, Robert Atlas, Frank Marks, Steve Koch, Jim McFadden, Robert Rogers, Joseph Cione, Michael Black, Eric Uhlhorn, Christopher.
Advertisements

Tropical Cyclone Forecasts Dr. Richard J. Murnane Risk Prediction Initiative Bermuda Biological Station for Research, Inc.
2009 AMS Public-Private Partnership Forum Mr. William D. Laska Making the Nation Safer: Challenges and Opportunities in Science and Technology Department.
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
Demonstration Testbed for the Evaluation of Experimental Models for Tropical Cyclone Forecasting in Support of the NOAA Hurricane Forecast Improvement.
WISDOM [Weather In-Situ Deployment Optimization Method] Alexander E. MacDonald, NOAA Research DAA for LCI Justyna Nicinska, WISDOM Program Manager LT Richard.
Justyna Nicinska, Office of Oceanic and Atmospheric Research (OAR) Russ Chadwick, Earth System Research Laboratory/OAR Randy Johnson, Air Resources Laboratory/OAR.
NOAA Joint OSSE System’s Applications for WISDOM project Y. Zhang, Y. Xie, N. Prive, and B. Mock Jan 18, 2012 GSD/FAB.
1 Hurricane Liaison Team (HLT) June 3, 2010 Gulf States Hurricane Conference Steve Dumovich, Fire Chief (ret.) Hurricane Program Manager FEMA Region 6.
The Understanding Severe Thunderstorms and Alberta Boundary Layers Experiment (UNSTABLE): Overview and Preliminary Results Neil M. Taylor 1, D. Sills 2,
National Oceanic and Atmospheric Administration
Observing Climate Variability and Change Thomas R. Karl National Oceanic and Atmospheric Administration National Environmental Satellite Data and Information.
A Brief Overview of Modeling and Data Assimilation Development at Regional and Global Scales at NOAA/ESRL Stan Benjamin NOAA Earth System Research Laboratory.
Implementation of upper-ocean temperature measurements in operational hurricane reconnaissance: an update on the AXBT Demonstration Project Elizabeth R.
Targeting strategies to improve hurricane track forecasts (JHT 03-05) PIs: Dr Sharanya J. Majumdar (University of Miami) Dr Sim D. Aberson (NOAA/AOML/HRD)
Ideas for Improving Hurricane Forecasts Miami June 20, 2008 Alexander E. MacDonald OAR DAA Director Earth System Research Laboratory.
NOAA PORTS ® Partnerships MARACOOS Annual Meeting 12/15/2011 Darren Wright Maritime Services Program Manager.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Science Support for NASA-NOAA Research to Operations (R2O) and GPM Ralph.
Observing Strategy and Observation Targeting for Tropical Cyclones Using Ensemble-Based Sensitivity Analysis and Data Assimilation Chen, Deng-Shun 3 Dec,
NSF Hurricane Research National Science Foundation Pamela Stephens Geosciences Directorate.
Radiosondes ATS May 5th Balloon Launch. What is a Radiosonde? A radiosonde is a balloon-based instrument platform with radio transmitting capabilities.
NOAA’s Role in Weather Forecasting and Community Preparedness Decision Support NOAA remains focused on supporting high impact events where weather is a.
Radar Sea Level Pressure Remote Sensing for Improvements in Hurricane Predictions 04 March 2008 Charleston, SC Qilong Min Roland Lawrence Bing Lin, Yongxiang.
JCOMM Data Buoy Cooperation Panel October 16, 2006 National Data Buoy Center 2006 Review: A Year of Growth Paul F. Moersdorf, PhD, Director.
UMAC data callpage 1 of 11NLDAS EMC Operational Models North American Land Data Assimilation System (NLDAS) Michael Ek Land-Hydrology Team Leader Environmental.
Quantitative Design: The Right Way to Develop the Composite Observing System A presentation to the GOES R Conference Alexander E. MacDonald NOAA Forecast.
1 Addressing Critical Skills Shortages at the NWS Environmental Modeling Center S. Lord and EMC Staff OFCM Workshop 23 April 2009.
April nd IBTrACS Workshop 1 Operational Procedures How can we build consistent, homogeneous, well- documented climate quality data?
Leah Kos Sara Lavas Lauryn Gonzalez Mentor: Dr. Michael Douglas, NSSL.
Research and Development to Meet Urban Weather and Climate Needs Dr. Richard D. Rosen NOAA Research September 23, 2004 Presentation at “Challenges in Urban.
Page 1 Pacific THORPEX Predictability, 6-7 June 2005© Crown copyright 2005 The THORPEX Interactive Grand Global Ensemble David Richardson Met Office, Exeter.
Driftsonde Flights during AMMA Stratospheric balloons to study African monsoon and formation of cyclones Driftsonde Flights during AMMA Stratospheric balloons.
GLFE Status Meeting April 11-12, Presentation topics Deployment status Data quality control Data distribution NCEP meeting AirDat display work Icing.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Office of Coast Survey Improving NOAA’s Capacity to Address Coastal Inundation Events Jesse C. Feyen, Ph.D. Storm Surge Roadmap Portfolio Manager Acting.
Global Observing System Simulation Experiments (Global OSSEs) How It Works Nature Run 13-month uninterrupted forecast produces alternative atmosphere.
National Weather Service Goes Digital With Internet Mapping Ken Waters National Weather Service, Honolulu HI Jack Settelmaier National Weather Service,
Introduction Zoltan’s information Matrix (consider a list of people in the branch, maybe take the time to go around the room for brief introductions) Strategic.
1 Results from Winter Storm Reconnaissance Program 2008 Yucheng SongIMSG/EMC/NCEP Zoltan TothEMC/NCEP/NWS Sharan MajumdarUniv. of Miami Mark ShirleyNCO/NCEP/NWS.
1 Results from Winter Storm Reconnaissance Program 2007 Yucheng SongIMSG/EMC/NCEP Zoltan TothEMC/NCEP/NWS Sharan MajumdarUniv. of Miami Mark ShirleyNCO/NCEP/NWS.
Division of Nearshore Research Texas Coastal Ocean Observation Network Dr. Gary Jeffress Mr. James Rizzo October 2003.
COSMIC Retreat 2008 Caribbean Project Ground-based GPS Research Group.
The National Oceanic and Atmospheric Administration (NOAA) is working to use Unmanned Aircraft Systems (UAS) to improve its ability to monitor the global.
Lennart Bengtsson ESSC, Uni. Reading THORPEX Conference December 2004 Predictability and predictive skill of weather systems and atmospheric flow patterns.
I n t e g r i t y - S e r v i c e - E x c e l l e n c e Headquarters U.S. Air Force 1 Air Force Director of Weather 1 March 2010 USAF Tropical Cyclone.
Use of Unmanned Aircraft Systems (UAS) For Environmental Applications Robbie Hood, NOAA UAS Program Director NOAA Office of Oceanic and Atmospheric Research.
MADIS Airlines for America Briefing Meteorological Assimilated Data Ingest System (MADIS) FPAW Briefing Steve Pritchett NWS Aircraft Based Observations.
Impact of FORMOSAT-3 GPS Data Assimilation on WRF model during 2007 Mei-yu season in Taiwan Shyuan-Ru Miaw, Pay-Liam Lin Department of Atmospheric Sciences.
Argos Data Collection and Location System (DCS) Satellite Direct Readout Conference April 4-8, 2011 Miami, FL Scott Rogerson Argos DCS Program Manager.
1 Developing Assimilation Techniques For Atmospheric Motion Vectors Derived via a New Nested Tracking Algorithm Derived for the GOES-R Advanced Baseline.
OSSEs and NOAA’s Quantitative Observing Systems Assessment Program (QOSAP) Bob Atlas, Craig MacLean, Lidia Cucurull (NOAA, USA) Sharan Majumdar, Tom Hamill.
Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.
Doppler Lidar Winds & Tropical Cyclones Frank D. Marks AOML/Hurricane Research Division 7 February 2007.
CO-OPS Expands Meteorological Sensor Network and Quality Control Kathleen Egan, Tom Landon NOAA/NOS/Center for Operational Oceanographic Products and Services.
64th Interdepartmental Hurricane Conference NOAA Tropical Program Delivering on the Promise of Partnerships Jack Hayes NOAA Assistant Administrator & Director,
Adaptive Observations at NWS Lacey Holland, SAIC at EMC/NCEP/NWS Zoltan Toth, EMC/NCEP/NWS Acknowledgements:
Data Management System to Collect, Quality Control, Distribute, and Archive Near Real-time Marine Data Jeremy J. Rolph, Jacob T. Rettig, Mark A. Bourassa,
1 63 rd Interdepartamental Hurricane Conference March 3, 2009 Justyna Nicinska Alexander E. MacDonald NOAA Oceanic and Atmospheric Research (OAR) 2008.
1 Current and planned research with data collected during the IFEX/RAINEX missions Robert Rogers NOAA/AOML/Hurricane Research Division.
TAMDAR Status FPAW Forum November 11, The patented TAMDAR sensor Measures and derives: Ice presence Median and peak turbulence Winds aloft Indicated.
The National Weather Service Goes Geospatial – Serving Weather Data on the Web Ken Waters Regional Scientist National Weather Service Pacific Region HQ.
A WMO Centre of Excellence (CoE) for Satellite meteorology Main Achievements Local Events Aeronautical Continuing Professional Development (AeroCPD)
Hurricane Joaquin Frank Marks AOML/Hurricane Research Division 10 May 2016 Frank Marks AOML/Hurricane Research Division 10 May 2016 Research to Improve.
A Space and Time Multi-scale Analysis System (STMAS) for Tropical Cyclone Data Assimilation Yuanfu Xie Forecast Applications Branch Global Systems Division.
Ocean Prediction Center
Surface Pressure Measurements from the NASA Orbiting Carbon Observatory-2 (OCO-2) Presented to CGMS-43 Working Group II, agenda item WGII/10 David Crisp.
Atlantic Oceanographic and Meteorological Laboratory
Observing Climate Variability and Change
Progress in Weather Observations
Presentation transcript:

WISDOM System 2009 Proof of Concept Test Results Alexander E. MacDonald, Justyna Nicinska, Yuanfu Xie, Russell B. Chadwick NOAA Office of Oceanic and Atmospheric Research (OAR) Interdepartmental Hurricane Conference Savannah, GA March 2, 2010 WISDOM System 2009 Proof of Concept Test Results Alexander E. MacDonald, Justyna Nicinska, Yuanfu Xie, Russell B. Chadwick NOAA Office of Oceanic and Atmospheric Research (OAR) 64 th Interdepartmental Hurricane Conference Savannah, GA March 2, 2010 WISDOM (Weather In-Situ Deployment Optimization Method) 1

2009 Objectives The WISDOM program aims to improve the hurricane track prediction in the 3 to 6 day period before landfall by providing wind and atmospheric data over poorly observed areas of the Atlantic basin. WISDOM (Weather In-Situ Deployment Optimization Method) Proof of Concept Testing: NOAA, with funding support from the DHS S&T, conducted a successful initial feasibility test during the 2008 hurricane season with balloons reporting wind data in near real-time. In 2009 with support from DHS S&T, NOAA and the Air Force, the program aims to quantify the forecast improvement provided by ingesting WISDOM data into numerical weather prediction models, including ESRL’s FIM model. 2

WISDOM 2009 Participants and Partners NOAA: OAR/ESRL/ARL; NWS DHS S&T Air Force Weather Agency DoD/JCS Northern Gulf Institute/MSU University of Miami Texas A&M Corpus Christi Caribbean Institute of Meteorology and Hydrology Bermuda Weather Service Simeon Fongang Ecole Superieure Polytechnique Unviversite, Senegal Near Space Corporation Engenium Technologies Raytheon WISDOM (Weather In-Situ Deployment Optimization Method)

Data Transmission WISDOM (Weather In-Situ Deployment Optimization Method) The WISDOM system uses small super-pressure balloons carrying 100 gram payloads with GPS positioning and satellite communications capability (UHFFLEETSATCOM). Data are transmitted in real time via satellite ground station to the MADIS servers at NOAA/ESRL. The 2009 WBS collected wind and pressure data; and included flight termination capability. 6 Data Centers were contacted regarding ingest of WISDOM data. ECMWF, UK Met Office and NHC requested data in real- time (BUFR and NetCDF formats) 4

WISDOM Balloon System Balloon- constant density (Mylar Tetroon) floats 12,000 and 26,000 ft Balloon- constant density (Mylar Tetroon) floats 12,000 and 26,000 ft 100 gram payload (GPS, pressure sensor, termination device) 100 gram payload (GPS, pressure sensor, termination device) Pressure sensor- will be upgraded next season temp and rel. humidity in testing mode Pressure sensor- will be upgraded next season temp and rel. humidity in testing mode Median flight 5-7 days, terminated past certain boundary Median flight 5-7 days, terminated past certain boundary About 90 Balloons Launched in 2009 About 90 Balloons Launched in 2009 Largest launch- Hurricane Ida Largest launch- Hurricane Ida Launch Teams: NOAA and NGI, students from MSU, Texas A&M, UM, CIMH Launch Teams: NOAA and NGI, students from MSU, Texas A&M, UM, CIMH WISDOM (Weather In-Situ Deployment Optimization Method) August 2009 Launch Training at NGI in Waveland, MS 5

WISDOM 2009 Launch Sites 10 sites in the Coastal US, Caribbean and Africa WISDOM (Weather In-Situ Deployment Optimization Method) 6

Dakar, Senegal Bermuda WISDOM (Weather In-Situ Deployment Optimization Method) 7

8

NGI Balloon Tracker 2009 Hurricane Season Launch WISDOM (Weather In-Situ Deployment Optimization Method) 9

WISDOM 2009 IDA Launch WISDOM (Weather In-Situ Deployment Optimization Method) 10

WISDOM (Weather In-Situ Deployment Optimization Method) Nov 10 Tropical Storm Ida location and numerous predicted locations; also WISDOM Balloon trajectories for earlier Corpus Christi, TX launches. 11

WISDOM Balloon W launched 2100z from Waveland, MS 7 day predicted trajectories from GFS (green) & FIM (red) 06Nov z model runs.

WISDOM Balloon W launched 2100z from Waveland, MS. 7 day predicted trajectories from GFS (green) & FIM (red) 06Nov z model runs. 13

Global OSSE and STMAS real time analysis ECMWF 13 month free forecast is used for OSSE nature run; NCEP/EMC operational systems of GFS/GSI are used for forecast and data assimilation; A calibration of all synthetic observations against real data impact is almost finished; A preliminary-calibrated OSSE can be used to study WISDOM data impact on hurricane track forecasts. 14

Real data impact of different obs 300 mb U-wind Analysis Impact, July-August

RAOB data denial Successful calibration Calibrating synthetic data error so that the synthetic data impact is close to its impact in real world 16

Real time WISDOM STMAS analysis: Analysis increment of windspeed

OSSE for WISDOM For a given hurricane identified in the OSSE nature run, OSSE can run several WISDOM deployment plans to identify the one that has strongest data impact in the OSSE world. Based on this experiment, a real time WISDOM deployment plan can be modified and its impact will be verified. Repeating this procedure, an “optimal” WISDOM deployment could be gradually formed for real hurricanes. 18

2009 Season Conclusions WISDOM has demonstrated capability to target remote areas for in situ observations. The WISDOM Balloon System can provide thousands of data points at low cost (estimated at less than a dollar per data point). Preliminary OSSE analysis shows a positive impact of WISDOM data, with few balloons in a data sparse region. Future improvements will include improved/additional sensors, termination capability and a targeting algorithm. Data centers will receive data in real-time from ESRL’s MADIS server. Additional altitudes (low and high) and balloon design will enhance scope of observations. WISDOM (Weather In-Situ Deployment Optimization Method) 19

Thank you! Thank you! Questions? WISDOM (Weather In-Situ Deployment Optimization Method)