AMPS— Moving into the Next Phase  Background  AMPS’s Next Phase— Plans  Future Possibilities www.mmm.ucar/rt/mm5/amps AMPS Users’ Workshop 2004 10 June.

Slides:



Advertisements
Similar presentations
Chapter 13 – Weather Analysis and Forecasting
Advertisements

The use of a high resolution model in a private environment
WRF Modeling System V2.0 Overview
© The Aerospace Corporation 2014 Observation Impact on WRF Model Forecast Accuracy over Southwest Asia Michael D. McAtee Environmental Satellite Systems.
Overview of AMPS-Polar MM5 real-time forecasting for Antarctica and plans for the assimilation of EOS data David H. Bromwich Polar Meteorology Group, Byrd.
February High Impact Weather Workshop 1 JCSDA-HFIP and -ECMWF Workshop Recommendations Lars Peter Riishojgaard and Sid Boukabara Joint Center for.
Munehiko Yamaguchi Typhoon Research Department, Meteorological Research Institute of the Japan Meteorological Agency 9:00 – 12: (Thr) Topic.
Observing System Simulation Experiments to Evaluate the Potential Impact of Proposed Observing Systems on Hurricane Prediction: R. Atlas, T. Vukicevic,
Recent performance statistics for AMPS real-time forecasts Kevin W. Manning – National Center for Atmospheric Research NCAR Earth System Laboratory Mesoscale.
S4D WorkshopParis, France Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio A High-Resolution David H. Bromwich.
Toward a Real Time Mesoscale Ensemble Kalman Filter Gregory J. Hakim Dept. of Atmospheric Sciences, University of Washington Collaborators: Ryan Torn (UW)
Update on the Regional Modeling System NASA Roses Meeting April 13, 2007.
Brian Ancell, Cliff Mass, Gregory J. Hakim University of Washington
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Weather Research & Forecasting Model (WRF) Stacey Pensgen ESC 452 – Spring ’06.
Verification of Numerical Weather Prediction systems employed by the Australian Bureau of Meteorology over East Antarctica during the summer season.
Validating the moisture predictions of AMPS at McMurdo using ground- based GPS measurements of precipitable water Julien P. Nicolas 1, David H. Bromwich.
Jamie Wolff Jeff Beck, Laurie Carson, Michelle Harrold, Tracy Hertneky 15 April 2015 Assessment of two microphysics schemes in the NOAA Environmental Modeling.
Jordan G. Powers Mesoscale and Microscale Meteorology Division NCAR Earth System Laboratory National Center for Atmospheric Research Space Weather Workshop.
Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.
Jordan G. Powers and Kevin W. Manning Mesoscale and Microscale Meteorology Division NCAR Earth System Laboratory National Center for Atmospheric Research.
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.
ANTCI Overall Objective To provide a more comprehensive understanding of Antarctic atmospheric chemistry with the goal of providing new insights related.
Mathematics and Computer Science & Environmental Research Divisions ARGONNE NATIONAL LABORATORY Regional Climate Simulation Analysis & Vizualization John.
Evaluation of AMPS Forecasts Using Self-Organizing Maps (SOMs) John J. Cassano Cooperative Institute for Research in Environmental Science and Program.
Data assimilation and observing systems strategies Pierre Gauthier Data Assimilation and Satellite Meteorology Division Meteorological Service of Canada.
30 November December International Workshop on Advancement of Typhoon Track Forecast Technique 11 Observing system experiments using the operational.
Development of an EnKF/Hybrid Data Assimilation System for Mesoscale Application with the Rapid Refresh Ming Hu 1,2, Yujie Pan 3, Kefeng Zhu 3, Xuguang.
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 Regional Modeling using MODIS SST composites Prepared.
Joe Klemp National Center for Atmospheric Research Boulder, Colorado Convection Resolving NWP using WRF.
Accounting for Uncertainties in NWPs using the Ensemble Approach for Inputs to ATD Models Dave Stauffer The Pennsylvania State University Office of the.
Polar prediction services provided by the Bureau of Meteorology in support of the Australian Antarctic program. Dr Neil Adams, Centre for Australian Weather.
1 JRA-55 the Japanese 55-year reanalysis project - status and plan - Climate Prediction Division Japan Meteorological Agency.
The Impact of FORMOSAT-3/COSMIC GPS RO Data on Typhoon Prediction
3 rd Annual WRF Users Workshop Promote closer ties between research and operations Develop an advanced mesoscale forecast and assimilation system   Design.
Ligia Bernardet, S. Bao, C. Harrop, D. Stark, T. Brown, and L. Carson Technology Transfer in Tropical Cyclone Numerical Modeling – The Role of the DTC.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Arctic System Reanalysis David H. Bromwich 1,2 and Keith M. Hines 1 1- Polar Meteorology Group Byrd Polar Research Center The Ohio State University Columbus,
Meteorology meets Astronomy : open discussion 1.Usefullness of atmospheric mesoscale modelling for astrophysical applications - to forecast astrophysical.
U.S. EPA and WIST Rob Gilliam *NOAA/**U.S. EPA
International Workshop on Antarctic Clouds Columbus, OH Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio.
The Ross Island Meteorology Experiment (RIME): An International Collaborative Investigation of Antarctic Meteorology and Climate David Bromwich Polar Meteorology.
Preliminary results from assimilation of GPS radio occultation data in WRF using an ensemble filter H. Liu, J. Anderson, B. Kuo, C. Snyder, A. Caya IMAGe.
Incorporation and use of the NOAH LSM in the Coupled/Ocean Atmosphere Mesoscale Prediction System (COAMPS) ® Incorporation and use of the NOAH LSM in the.
Antarctic Regional Interactions Meteorology Experiment (RIME) Antarctic Regional Interactions Meteorology Experiment (RIME) David H. Bromwich 1, John J.
Modeling and Evaluation of Antarctic Boundary Layer
National Center for Atmospheric Research Boulder, Colorado USA.
A STATISTICAL COMPARISON OF AMPS 10-KM AND 3.3-KM DOMAINS Michael G. Duda, Kevin W. Manning, and Jordan G. Powers Mesoscale and Microscale Meteorology.
Shu-Hua Chen University of California, Davis eatheresearch & orecasting
The Ross Island Meteorology Experiment (RIME): An International Collaborative Investigation of Antarctic Meteorology and Climate David Bromwich Polar Meteorology.
NCAR April 1 st 2003 Mesoscale and Microscale Meteorology Data Assimilation in AMPS Dale Barker S. Rizvi, and M. Duda MMM Division, NCAR
RIME A possible experiment for Advancing Antarctic Weather Prediction David H. Bromwich 1, John J. Cassano 1, Thomas R. Parish 2, Keith M. Hines 1 1 -
Mesoscale Modeling Jon Schrage Summer WRF-“Weather Research and Forecasting” Developed by: – National Center for Atmospheric Research (NCAR) – the.
AMPS : International Support for Antarctic Science and Activities Kevin W. Manning Jordan G. Powers National Center for Atmospheric Research.
Real-time forecasting for the Antarctic: An evaluation of the Antarctic Mesoscale Prediction System (AMPS) David H. Bromwich 1, Andrew J. Monaghan 1, Kevin.
David H. Bromwich 1, 2 and Francis O. Otieno 1 1 Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, OH 2 Atmospheric.
Antarctica Steve Colwell British Antarctic Survey.
RUC Convective Probability Forecasts using Ensembles and Hourly Assimilation Steve Weygandt Stan Benjamin Forecast Systems Laboratory NOAA.
Summary of the Report, “Federal Research and Development Needs and Priorities for Atmospheric Transport and Diffusion Modeling” 22 September 2004 Walter.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
AMPS Update – July 2010 Kevin W. Manning Jordan G. Powers Mesoscale and Microscale Meteorology Division NCAR Earth System Laboratory National Center for.
  Robert Gibson1, Douglas Drob2 and David Norris1 1BBN Technologies
Welcome to The Third Workshop of the
Hui Liu, Jeff Anderson, and Bill Kuo
Naval Research Laboratory
New Developments in Aviation Forecast Guidance from the RUC
2007 Mei-yu season Chien and Kuo (2009), GPS Solutions
The Polar Wind Product Suite
2004 Update on AMPS Operations
Presentation transcript:

AMPS— Moving into the Next Phase  Background  AMPS’s Next Phase— Plans  Future Possibilities AMPS Users’ Workshop June 2004 Jordan G. Powers M esoscale and Microscale Meteorology Division, NCAR

I. Background  Antarctic Mesoscale Prediction System (AMPS) At-a-glance NCAR & Polar Met. Group, BPRC, The Ohio State Univ. Plus: SPAWAR contributions  Real-time, high-resolution mesoscale model over Antarctica (since 2000): “ Polar MM5”  Support of Antarctic forecasting and science operations  Tailored to needs of (1) SPAWAR forecasters and the USAP (2) international community

 Phase 2 Goals October 2002–September 2004 (current phase)  New Data Assimilation Capability: 3DVAR – 3-Dimensional Variational data assimilation  Polar Physics Development Ex: Upper boundary condition  Verification – Seasonal forecast verification – SOM (Self-Organizing Map) study  AMPS Users’ Workshops

 Phase 2: Additional Gains 10-km Antarctic Peninsula grid Expansion in international support Scientific field activity support  GLOBEC (Global Ocean Ecosystem Dynamics)  NASA P3 Pine Island Bay operations (flights investigating calving glaciers) Archive-derived climatologies for Raytheon support Rescues: Flight Assistance  September 2003 (South Pole medevac)  April 2004 (McMurdo medevac)

II. AMPS’s Next Phase— Plans Next Phase: October 2004–September 2006  Implementation of the Weather Research and Forecasting Model (WRF)  Enhanced Grids Ex: 30 km Antarctica grid   20 km grid NB: Dependent on computing hardware  Data assimilation – Explore new approaches: Ensemble Kalman Filter – New data sources E.g: COSMIC GPS radio occultations (2006)

 New Physics – Blowing snow parameterization – Cloud-radiation interaction: representation of downwelling longwave radiation – Treatment of horizontal pressure-gradient force  Verification – Evaluation of new physics – Analysis of event performance  Climatological Database – Web-based tool to allow compilation of climatology of locations, using archive

 Assistance to International Antarctic Activities Italy (PRNA) Terra Nova Bay British Antarctic Survey Rothera Germany Neumayer Australia. Casey, Davis, Mawson (Bureau of Met.) South African (S.A. Weather Service) Russia Novolazarevskaya Japan Syowa Chile Eduardo Frei Norway Troll

36h WRF Precip Forecast Analyzed Precip 27 Sept Hurricane Isidore Designed for both research and operational applications Extensive use for real-time forecasting Registered users as of June 1, 2004: 845 WRF Partner/Collaborators – NCAR – NOAA National Centers for Environmental Prediction – NOAA Forecast Systems Laboratory – Air Force Weather Agency (AFWA) – Federal Aviation Administration – Naval Research Laboratory The Weather Research and Forecasting (WRF) Model 10 km WRF

WRF Frontal Forecast 24-hr WRF fcst: Valid 00 UTC 25 October 2001 (12-km grid) WRF vertically-integrated cloud waterIR imagery

WRF AMPS Test Forecast 72-hr WRF fcst: Valid 12 UTC 17 Nov 2003 (30-km grid) SLP interval= 4 mb WRFMM5

III. Future Possibilities  Application of New Verification/Analysis Techniques  Field Campaign Support  Enhanced International Collaborations and SPAWAR Involvement Eduardo Frei Stn.

 Applications of Kinetic Energy Spectra from AMPS Real-Time Verification System Power spectra of wind and  computed from aircraft data (Nastrom and Gage 1985) k -3 and k -5/3 power curves shown GASP data (Global Atmospheric Sampling Program)

AMPS Kinetic Energy Spectra Spectra computed from u, v, w through ~525–237 mb layer Hr. 24 Fcst init: 1200 UTC 3 Sept 2003 Grid  x indicated

Spectra for 10-km and 3.3-km AMPS grids Hr. 24 Fcst init:00 UTC 03 Sept

400 hPa height and wind speed on 10-km AMPS grid Hr. 24 Fcst init:00 UTC 03 Sept 2003 Height (m) Interval=10 m Wind speed (m/s) Interval= 2.5 m/s

10-km AMPS Spectra (Hr 24) Area / subarea of domain indicated – Spectral analysis may illuminate effects of high-resolution grids traditional error statistics might not reveal – Application of high-res grids over Antarctica may improve representation of the variance of tropospheric flows (i) Better reproduction of observed power laws on the mesoscale (ii) Greater power variance on the mesoscale

 Field Campaign Support 1) Antarctic RIME: Antarctic Regional Interactions Meteorology Experiment (A-RIME) Planned measurement sites for RIME instrumentation deployments. A few existing AWSs shown as small green circles. (Many AWSs not shown.) Field phases: Dec. ’06– Jan. ’07 Dec. ’07– Feb. ’08 Sept. ’08–Feb. ’09

– Pre- A-RIME Studies Analysis of AMPS archive for instrument siting and information for logistical issues Case studies to identify meteorology issues for exploration in A-RIME – A-RIME Logistics Special AMPS products and windows Ex: Ferrell close-up coverage, time series & soundings for A-RIME points Higher-resolution experimental grid(s) Ex: 1-km one-way nests (e.g., Ross Air Stream)

Field Campaign Support (cont’d) 2) ANTCI: Antarctic Tropospheric Chemistry Experiment First field phase: Nov.–Dec Twin Otter flights to sample PBL – AMPS Support Flight forecasting and specialized products Model datasets for event analysis

ANTCI Flights: Yellow areas: focused on sulfur species; Green areas: focused on reactive nitrogen compounds; Blue areas: focused on both.

Future Possibilities (cont’d)  Enhanced International Cooperation and Support – Contributions to/collaborations in AMPS operations – Involvement of COMNAP in support of AMPS (?) (Council of Managers of National Antarctic Programs)  SPAWAR Involvement – Participation in AMPS operations during field seasons – Establishment of AMPS liaison Ex: Product coordinator

Summary  AMPS next phase (2004–2006) planning in progress  Implementation of new model for AMPS: WRF  Improved system capabilities – Polar physics development – Data assimilation improvement  Strengthen Antarctic observational–forecasting–modeling operational & research collaborations, including international efforts