Polar prediction services provided by the Bureau of Meteorology in support of the Australian Antarctic program. Dr Neil Adams, Centre for Australian Weather.

Slides:



Advertisements
Similar presentations
World Meteorological Organization Working together in weather, climate and water WMO Global Integrated Polar Prediction System (GIPPS) Peter Lemke (on.
Advertisements

Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD.
AIRCRAFT METEOROLOGICAL DATA RELAY
© European Centre for Medium-Range Weather Forecasts Operational and research activities at ECMWF now and in the future Sarah Keeley Education Officer.
PRESENTS: FORECASTING FOR OPERATIONS AND DESIGN February 16 th 2011 – Aberdeen.
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.
The 2014 Warn-on-Forecast and High-Impact Weather Workshop
Danielle M. Kozlowski NASA USRP Intern. Background Motivation Forecasting convective weather is a challenge for operational forecasters Current numerical.
Satellite Use in the NWS Eastern Region Frank Alsheimer and Jon Jelsema NOAA/National Weather Service Charleston, SC Dave Radell NOAA/National Weather.
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.
00/XXXX 1 Met Office requirements for fog & low cloud forecasts B.Golding Head of Forecasting Research Met Office, UK.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Numerical weather prediction from short to long range.
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.
Global Forecast System (GFS) Model Previous called the Aviation (AVN) and Medium Range Forecast (MRF) models. Global model and 64 levels Relatively primitive.
Weather Observation What is the weather in different places?
Antarctic Forecasting - A Practitioner’s View LT CDR Matt Ruglys RNZN Joint METOC HQJFNZ.
ECMWF – 1© European Centre for Medium-Range Weather Forecasts Developments in the use of AMSU-A, ATMS and HIRS data at ECMWF Heather Lawrence, first-year.
Challenges in Urban Meteorology: A Forum for Users and Providers OFCM Panel Summaries Bob Dumont Senior Staff Meteorologist OFCM.
General comments Need for new observations versus new parameterizations? Should explore what GCOS and others are doing Urgent need for concerted physical.
Model & Satellite Data Dr Ian Brooks. ENVI 1400 : Meteorology and Forecasting2.
Forecasting and Numerical Weather Prediction (NWP) NOWcasting Description of atmospheric models Specific Models Types of variables and how to determine.
Arctic ROOS contributions
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
Section 12.3 Gathering Weather Data
Earth Science Division National Aeronautics and Space Administration 18 January 2007 Paper 5A.4: Slide 1 American Meteorological Society 21 st Conference.
Polar Communications and Weather Mission Canadian Context and Benefits.
Data assimilation and observing systems strategies Pierre Gauthier Data Assimilation and Satellite Meteorology Division Meteorological Service of Canada.
The Australian Community Climate Earth-System Simulator The Australian Community Climate and Earth System Simulator Kamal Puri (ACCESS Group Leader)
NCEP Production Suite Review: Land-Hydrology at NCEP
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.
Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.
08/20031 Volcanic Ash Detection and Prediction at the Met Office Helen Champion, Sarah Watkin Derrick Ryall Responsibilities Tools Etna 2002 Future.
Polar Prediction The Scientific Challenges - Antarctica John Turner British Antarctic Survey Cambridge, UK.
26 th EWGLAM & 11 th SRNWP meetings, Oslo, Norway, 4 th - 7 th October 2004 Stjepan Ivatek-Šahdan RC LACE Data Manager Croatian Meteorological and Hydrological.
NATS 101 Section 6: Lecture 3 Weather vs. Climate.
1 Scott Zaccheo AER, Inc ASCENDS End-to-End System Performance Assessment: Analysis of Atmospheric State Vector Variability.
Weather forecasting by computer Michael Revell NIWA
10/05/041 Satellite Data in the Verification of Model cloud forecasts Christoph Zingerle Tartu, 24. – 26. Jan HiRLAM mini workshop on clouds and.
Lennart Bengtsson ESSC, Uni. Reading THORPEX Conference December 2004 Predictability and predictive skill of weather systems and atmospheric flow patterns.
Current and Future Use of Satellite Data in NWP at Environment Canada Satellite Direct Readout Conference 2011 Miami, USA David Bradley, Gilles Verner,
1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.
INTERPRETING WEATHER INFORMATION
Autonomous Polar Atmospheric Observations John J. Cassano University of Colorado.
International Workshop on Antarctic Clouds Columbus, OH Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, Ohio.
Concordiasi Satellite data assimilation at high latitudes F. Rabier, A. Bouchard, F. Karbou, V. Guidard, S. Guedj, A. Doerenbecher, E. Brun, D. Puech +
Modeling and Evaluation of Antarctic Boundary Layer
The Ross Island Meteorology Experiment (RIME): An International Collaborative Investigation of Antarctic Meteorology and Climate David Bromwich Polar Meteorology.
Blended Sea Surface Temperature EnhancementsPolar Winds Blended Hydrometeorological Products Blended Total Ozone Products are derived by tracking cloud.
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 -
Page 1 Andrew Lorenc WOAP 2006 © Crown copyright 2006 Andrew Lorenc Head of Data Assimilation & Ensembles Numerical Weather Prediction Met Office, UK Data.
Météo-France / CNRM – T. Bergot 1) Methodology 2) The assimilation procedures at local scale 3) Results for the winter season Improved Site-Specific.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
OSEs with HIRLAM and HARMONIE for EUCOS Nils Gustafsson, SMHI Sigurdur Thorsteinsson, IMO John de Vries, KNMI Roger Randriamampianina, met.no.
Regional Re-analyses of Observations, Ensembles and Uncertainties of Climate information Per Undén Coordinator UERRA SMHI.
Antarctica Steve Colwell British Antarctic Survey.
SIGMA: Diagnosis and Nowcasting of In-flight Icing – Improving Aircrew Awareness Through FLYSAFE Christine Le Bot Agathe Drouin Christian Pagé.
© Crown copyright Met Office How will we COPE in Summer 2013? - The COnvective Precipitation Experiment Phil Brown.
Numerical Weather Forecast Model (governing equations)
Tadashi Fujita (NPD JMA)
Volcanic Ash Detection and Prediction at the Met Office
Not Approved for Public Release
Yuanfu Xie, Steve Albers, Hongli Jiang Paul Schultz and ZoltanToth
Exploring Application of Radio Occultation Data in Improving Analyses of T and Q in Radiosonde Sparse Regions Using WRF Ensemble Data Assimilation System.
Impact of observations on Bureau of Meteorology Systems
Assimilation of Global Positioning System Radio Occultation Observations Using an Ensemble Filter in Atmospheric Prediction Models Hui Liu, Jefferey Anderson,
AGREPS – ACCESS Global and Regional Ensemble Prediction System
High resolution NWP in Australia
NWP Strategy of DWD after 2006 GF XY DWD Feb-19.
Presentation transcript:

Polar prediction services provided by the Bureau of Meteorology in support of the Australian Antarctic program. Dr Neil Adams, Centre for Australian Weather and Climate Research and the Antarctic Meteorological Section, Tasmania Antarctica Region, Bureau of Meteorology.

1. Overview of the service provision, 2. Forecasting systems supporting services, Observational systems, Satellite data, NWP systems, Display systems, 3. Capability gaps and future requirements.

Antarctica is ~ 14x10 6 km 2, the AAT ~ 5.6x10 6 km 2, Australia ~ 7.6x10 6 km 2,

ROUTINE. 1. Station and field party forecasts (public weather style), 2. Marine forecasts for resupply and marine research vessels, 3. Boating forecasts for local area boating activities, 4. Extended (5 to 7 day) outlooks across areas of interest field and aviation logistical support, 5. Aviation support: Terminal Area Forecasts (TAF), Landing Area Forecasts (LAF) – same as TAF but no supporting observations), Graphical Route Forecasts. Flight following weather watch. AD HOC. 1. Search and Rescue, 2. Medivac, 3. Sea-ice analysis.

Control PanelFull detail view + overlaysLegend (no units) Scroll view

Legend(same geographic extent as ASAR)

OBSERVATIONAL SYSTEMS. SURFACE:

OBSERVATIONAL SYSTEMS. UPPER AIR:

Davis Station HRPT (L-Band) Receiving Station. Casey X-Band Receiving Station. Satellite Systems.

Casey Hobart Davis Mawson McMurdo Dumont d'Urville Dome Concordia

McMurdo

Casey

AVHRR, MODIS and geostationary satellite data from MTSAT, FY2 and METEOSAT composited as an underlay to the polarLAPS MSLP and near surface wind flow data.

Numerical Weather Prediction Systems Antarctic weather is dominated by the influence of the orography. Accurate Numerical Weather Prediction is heavily dependent on model resolution. Available models include: ECMWF (~ 12.5 km global) -European local access, UKMO (~ 40 km global) UK (ensemble), NCEP-GFS (~ 50 km global)USAlocal access, ACCESS-G (~ 80 km global)Australian local access, AMPS (~ 15 km pan Antarctica)USAUSA web access, PolarLAPS (~ 27.5 km Antarctica/Southern Ocean)AustralianAust web access. ECMWF is the European global model. Over Antarctica Australia only has access to near surface variables at a resolution of around 150 km and only between 40 o and 180 o E. UKMO is the UK global model. Australia only has access to 125 km resolution data. NCEP-GFS is the US Global Forecast System (GFS) and is freely available. ACCESS-G is the new Australian global model based around the UKMO Unified Model, employing 4d-Var assimilation. It is currently running at a very coarse resolution. The Antarctic Mesoscale Prediction System (AMPS) is a US system supporting the USAP and international Antarctic forecasters. It is based on the WRF model, with 3d-Var assimilation. PolarLAPS is a polar-stereographic implementation of the Australian Limited Area Prediction System (LAPS), initialised with model output from the NCEP-GFS, (no data assimilation). PolarLAPS is now finished to be replaced with ACCESS-P (UKMO-UM based).

AMPS +24HR output for 12Z 14 Jan 2010 ( ) polarLAPS (gfsLAPS version) +24HR output for 12Z 14 Jan 2010

Display Systems. The efficient and effective display and analysis of observational and NWP data is essential in any forecasting operation, particularly in supporting aviation operations across Antarctica. These systems have the capability of quickly encapsulating the current state of the weather and the time evolution of weather systems. The system used in Antarctic forecasting support is the Casey Antarctic Forecasting System (CAFeS).

Access to full 4-D NWP fields

Post processed fields such as model cloud diagnostics and cross-sections.

Route forecast system output:

Summary The Tasmania Antarctica Region is responsible for weather forecasting support for the Australian Antarctic program, A sparsity of observations places a heavy emphasis on satellite interpretation for weather watch and flight following services, Efficient and effective use of NWP output through dedicated weather forecasting display systems is essential for the provision of weather forecasts for the AAp.

Casey Dome Concordia Capability gaps and future requirements. Extensive area of liquid cloud at temperatures down to -31 o C.

Observed cloud base 6-8 oktas, no weather, RH% = 22%.

PolarLAPS RH%, cloud liquid and cloud ice water content variables. RH% Liquid water path Ice water path

1. The cloud micro-physics used in polarLAPS is not tuned for the polar environment, 2. Assimilated low level moisture data is limited to the very sparse radiosonde network, 3. Low level relative humidities may not pick up significant areas of ice cloud, 4. How good are the liquid and ice water mixing ratios in NWP systems ? 5. How do we observe/verify Antarctic cloud properties ? LOW CLOUD IS A SIGNIFICANT AVIATION RISK IN ANTARCTICA.

THERE IS A GROWING DEMAND FOR A SEA-ICE FORECASTING SYSTEM TO ASSIST IN NAVIGATION, SEA-ICE FORECASTING SYSTEMS REQUIRE ACCURATE FORCING FROM HIGH RESOLUTION NWP SYSTEMS, ACCURATE SEA-ICE CHARACTERISTICS ARE NEEDED AS LOWER BOUNDARY CONDITIONS FOR THE NWP SYSTEMS. THERE IS A NEED TO DEVELOP AN ANTARCTIC SEA-ICE FORECASTING SYSTEM CLOSELY TIED TO AN NWP SYSTEM.