COSMIC Retreat 2008 Caribbean Project Ground-based GPS Research Group.

Slides:



Advertisements
Similar presentations
© The Aerospace Corporation 2014 Observation Impact on WRF Model Forecast Accuracy over Southwest Asia Michael D. McAtee Environmental Satellite Systems.
Advertisements

Hurricanes Innovative Grid-Enable Multiple-scale Hurricane modeling system Konstantinos Menelaou International Hurricane Research Center Department of.
The Utility of GOES-R and LEO Soundings for Hurricane Data Assimilation and Forecasting Jun Timothy J. Schmit #, Hui Liu &, Jinlong and Jing.
The NOAA Unmanned Aircraft Systems (UAS) Program: Status and Activities Gary Wick Robbie Hood, Program Director Sensing Hazards with Operational Unmanned.
Geostationary Lightning Mapper (GLM) 1 Near uniform spatial resolution of approximately 10 km. Coverage up to 52 deg latitude % flash detection day.
Estimating Atmospheric Water Vapor with Ground-based GPS Lecture 12
1 High impact weather nowcasting and short- range forecasting with advanced IR soundings Jun Tim Schmit &, Hui Liu #, Jinlong Jing
Initializing a Hurricane Vortex with an EnKF Yongsheng Chen Chris Snyder MMM / NCAR.
The Relative Contribution of Atmospheric and Oceanic Uncertainty in TC Intensity Forecasts Ryan D. Torn University at Albany, SUNY World Weather Open Science.
Estimating Atmospheric Water Vapor with Ground-based GPS.
UNDERSTANDING TYPHOONS
Recent Progress on High Impact Weather Forecast with GOES ‐ R and Advanced IR Soundings Jun Li 1, Jinlong Li 1, Jing Zheng 1, Tim Schmit 2, and Hui Liu.
The Impact of GPS Radio Occultation Data on the Analysis and Prediction of Tropical Cyclones Bill Kuo UCAR.
1 Tropical cyclone (TC) trajectory and storm precipitation forecast improvement using SFOV AIRS soundings Jun Tim Schmit &, Hui Liu #, Jinlong Li.
Chris Birchfield Atmospheric Sciences, Spanish minor.
Observing Strategy and Observation Targeting for Tropical Cyclones Using Ensemble-Based Sensitivity Analysis and Data Assimilation Chen, Deng-Shun 3 Dec,
The fear of the LORD is the beginning of wisdom 陳登舜 ATM NCU Group Meeting REFERENCE : Liu., H., J. Anderson, and Y.-H. Kuo, 2012: Improved analyses.
Chapter 11 Notes Hurricanes. Tropical Storms Boris and Christiana Together-2008 Profile of a Hurrican Most hurricanes form between the latitudes of 5.
Prediction of Atlantic Tropical Cyclones with the Advanced Hurricane WRF (AHW) Model Jimy Dudhia Wei Wang James Done Chris Davis MMM Division, NCAR Jimy.
3DVAR Retrieval of 3D Moisture Field from Slant- path Water Vapor Observations of a High-resolution Hypothetical GPS Network Haixia Liu and Ming Xue Center.
In this study, HWRF model simulations for two events were evaluated by analyzing the mean sea level pressure, precipitation, wind fields and hydrometeors.
IMPROVING VERY-SHORT-TERM STORM PREDICTIONS BY ASSIMILATING RADAR AND SATELLITE DATA INTO A MESOSCALE NWP MODEL Allen Zhao 1, John Cook 1, Qin Xu 2, and.
Lightning Outbreaks in the Eyewall MET 614 Seminar Antti Pessi.
Page 1© Crown copyright 2006 Matt Huddleston With thanks to: Frederic Vitart (ECMWF), Ruth McDonald & Met Office Seasonal forecasting team 14 th March.
Outline Background Highlights of NCAR’s R&D efforts A proposed 5-year plan for CWB Final remarks.
Potential Benefits of Multiple-Doppler Radar Data to Quantitative Precipitation Forecasting: Assimilation of Simulated Data Using WRF-3DVAR System Soichiro.
Why We Care or Why We Go to Sea.
The Impact of FORMOSAT-3/COSMIC GPS RO Data on Typhoon Prediction
1 Using water vapor measurements from hyperspectral advanced IR sounder (AIRS) for tropical cyclone forecast Jun Hui Liu #, Jinlong and Tim.
Development Mechanism of Heavy Rainfall over Gangneung Associated with Typhoon RUSA Tae-Young Lee, Nam-San Cho, Ji-Sun Kang Kun-Young Byun, Sang Hun Park.
Retrieval of Moisture from GPS Slant-path Water Vapor Observations using 3DVAR and its Impact on the Prediction of Convective Initiation and Precipitation.
Chapter 20 Section 4 Hurricanes and Winter Storms Describe the origin, life cycle, and behavior of weather systems Objectives: -Explain the formation and.
Ensemble Kalman filter assimilation of Global-Hawk-based data from tropical cyclones Jason Sippel, Gerry Heymsfield, Lin Tian, and Scott Braun- NASAs GSFC.
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.
Hou/JTST NASA GEOS-3/TRMM Re-Analysis: Capturing Observed Rainfall Variability in Global Analysis Arthur Hou NASA Goddard Space Flight Center 2.
An Atmosphere-Ocean coupled model Morris, A., Bender and Isaac Ginis, 2000 : Real-case simulations of hurricane-ocean interaction using a high-resolution.
COSMIC Retreat 2008 Impact of COSMIC on typhoon prediction Bill Kuo and Ted Iwabuchi.
Studying impacts of the Saharan Air Layer on hurricane development using WRF-Chem/EnKF Jianyu(Richard) Liang Yongsheng Chen 6th EnKF Workshop York University.
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.
The Hyperspectral Environmental Suite (HES) and Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental.
Chapter 11 Hurricanes Maritime Tropical air-masses (mT) air Streamlines are used to analyze and track weather Tropical waves  Clusters of thunderstorms.
CHPR An integrated hurricane prediction and response system that allows: Strategic planning (weeks): energy, transportation, supply chains, financial,
Page 1© Crown copyright 2005 DEVELOPMENT OF 1- 4KM RESOLUTION DATA ASSIMILATION FOR NOWCASTING AT THE MET OFFICE Sue Ballard, September 2005 Z. Li, M.
Remote sensing and modeling of cloud contents and precipitation efficiency Chung-Hsiung Sui Institute of Hydrological Sciences National Central University.
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.
1 3D-Var assimilation of CHAMP measurements at the Met Office Sean Healy, Adrian Jupp and Christian Marquardt.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
1 Current and planned research with data collected during the IFEX/RAINEX missions Robert Rogers NOAA/AOML/Hurricane Research Division.
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.
Station lists and bias corrections Jemma Davie, Colin Parrett, Richard Renshaw, Peter Jermey © Crown Copyright 2012 Source: Met Office© Crown copyright.
SCIENCE NEWS. TROPICAL CYCLONES Weather related deaths in the u.s.
The GSI Capability to Assimilate TRMM and GPM Hydrometeor Retrievals in HWRF Ting-Chi Wu a, Milija Zupanski a, Louie Grasso a, Paula Brown b, Chris Kummerow.
ECMWF/EUMETSAT NWP-SAF Satellite data assimilation Training Course Mar 2016.
EXTREME WINDS AND PRECIPITATION FROM SPACE
Numerical Weather Forecast Model (governing equations)
Microwave Assimilation in Tropical Cyclones
What is a Hurricane? It is a type of tropical cyclone which include: tropical depressions, tropical storms and hurricanes All tropical cyclones are: Low.
Tadashi Fujita (NPD JMA)
Advisor: Dr. Fuqing Zhang
Describe the conditions needed for a thunderstorm to form.
Winter storm forecast at 1-12 h range
Hui Liu, Jeff Anderson, and Bill Kuo
Unit 4 Lessons Vocabulary.
Describe the conditions needed for a thunderstorm to form.
Hurricanes Wind speed in excess of 119 kilometers (74 miles) per hour
SCIENCE NEWS.
2007 Mei-yu season Chien and Kuo (2009), GPS Solutions
Verification of Tropical Cyclone Forecasts
A Multiscale Numerical Study of Hurricane Andrew (1992)
XIAOLEI ZOU and QINGNONG XIAO J. Atmos. Sci., 57, 報告:黃 小 玲
Presentation transcript:

COSMIC Retreat 2008 Caribbean Project Ground-based GPS Research Group

Ground-based GPS Network CONUS network Caribbean network

Impact of GPS PWV on Dean hurricane intensity forecast Continuous and real-time GPS observation help hurricane intensity forecast 6 hour DA window No DA One time DA Continuous DA Reference (true) forecast No DA One timeContinuous 991 hPa 977 hPa  Ps 3hPa  Ps 17hPa  PWV

Key observation for Dean forecast PWV observation near hurricane center PWV at Jamaica station

Negative correlation between pressure and PWV –Pressure sensor is important in GPS stations PWV exceed 75 mm in rradius of 150km from hurricane center –Grid GPS distribution with 1 degree is enough to detect higer PWV ? Surface pressure and PWV along latitude line of hurricane Dean MMM nesting 3 MMM nesting 2 MMM nesting 1 MMM nesting 3 MMM nesting 2 MMM nesting 1 80 mm 70 mm PWV SLP PWV >75 mm Suggestion from High-resolution Forecast

Background Error Statistics Snapshot of analysis increments (A-B) in PWV (top, 2D) and Qv (bottom, latitude-height cross section) NMC 10ays of

Dean Forecst

D cloud water D rain water D water vapor D temperature + D wind 0 min16 min32 min 48 min 600 km Temporal Evoluation of Phase Change of Water

1 hour Integration Water vapor Latent heat Intensification of hurricane D cloud waterD rain water D water vapor D temperature + v, w wind 600 km

Release of Latent Heat Phase change of water vapor for 60 minites Only one staion Japaica PWV data is assimilated Available latent heat Water vapor Rain water Cloud water

Consumption of Water Vapor Structure of PWV provided from Jamaica station changes its spatial distribution rapidly 0 min 32 min 60 min

Energy Blance in Hurricane 21:00 Jamaica station provides equivalent latent heat of 2.2 x J from positive increment of water vapor. M 8.5 earthquake: 3.6 x J Atomic bomb: 8.0 x J, Hydrogen bomb: 4.0 x J J/sec ? J/sec Release of latent heat from phase change of water (water vapor to liquid water) Friction J Kinetic Energy Data missing

OSSE Study and OSE STudy Consistent results with true data assimilation (1 deg. Grid, 1 point DA, etc) IC: _18

Real-time DA System O-B statistics, 1 day forecast, Case study

Hurricane and Tropical Storm in cases were reported from National Hurricane Center (NHC) by Oct. 9

Target Hurricane in Forecast Domain Hurricanes and tropical storms passed over Caribbean Network

Case Study for Gustav Will verify relative importnace of GPS PWV and COSMIC refractivity for 2008 hurricane track and intensity forecast

Forecast Validation with Met Observation Three typhoons have landfalled in Taiwan in 2008

Summary and Discussions GPS PWV can improve hurricane intensity forecast if it can observe PWV near hurricane center Cycling 3DVAR DA can get maximum benefit of continuous real-time GPS PWV observation Combined use with COSMIC; Issues to be verified –Relative importance of GPS PWV and COSMIC –Track and Intensity –Additional benefit of those against conventional data Optimal observation from Ocean (moving) platforms Encourage to put ZTD/PWV from IGS near real-time stations to GTS like COSMIC refractivity