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.

Slides:



Advertisements
Similar presentations
A near real time regional GOES-R/JPSS data assimilation system for high impact weather applications Jun Timothy J. Schmit &, Jinlong Pei Wang.
Advertisements

© The Aerospace Corporation 2014 Observation Impact on WRF Model Forecast Accuracy over Southwest Asia Michael D. McAtee Environmental Satellite Systems.
Data Assimilation Andrew Collard. Overview Introduction to Atmospheric Data Assimilation Control Variables Observations Background Error Covariance Summary.
The Utility of GOES-R and LEO Soundings for Hurricane Data Assimilation and Forecasting Jun Timothy J. Schmit #, Hui Liu &, Jinlong and Jing.
1 High impact weather nowcasting and short- range forecasting with advanced IR soundings Jun Tim Schmit &, Hui Liu #, Jinlong Jing
GOES-12 Sounder SFOV sounding improvement Zhenglong Li, Jun Li, W. Paul Menzel, Timothy J. Schmit and other colleagues Cooperative Institute for Meteorological.
CORP Symposium Fort Collins, CO August 16, 2006 Session 3: NPOESS AND GOES-R Applications Tropical Cyclone Applications Ray Zehr, NESDIS / RAMM.
Global Weather Services in 2025-Progress toward the Vision Richard A. Anthes University Corporation for Atmospheric Research October 1, 2002 GOES User’s.
The Impact of GPS Radio Occultation Data on the Analysis and Prediction of Tropical Cyclones Bill Kuo UCAR.
Recent activities on utilization of microwave imager data in the JMA NWP system - Preparation for AMSR2 data assimilation - Masahiro Kazumori Japan Meteorological.
1 Tropical cyclone (TC) trajectory and storm precipitation forecast improvement using SFOV AIRS soundings Jun Tim Schmit &, Hui Liu #, Jinlong Li.
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.
Current status of AMSR-E data utilization in JMA/NWP Masahiro KAZUMORI Numerical Prediction Division Japan Meteorological Agency July 2008 Joint.
The GOES-R Algorithm Working Group (AWG) program requests a high quality of proxy data for algorithm developments, testing and assessments. The central.
A Comparison of Two Microwave Retrieval Schemes in the Vicinity of Tropical Storms Jack Dostalek Cooperative Institute for Research in the Atmosphere,
Improvement of Short-term Severe Weather Forecasting Using high-resolution MODIS Satellite Data Study of MODIS Retrieved Total Precipitable Water (TPW)
Régis Borde Polar Winds EUMETRAIN Polar satellite week 2012 Régis Borde
The National Hurricane Center and Geostationary Sounders: Needs and Issues NATIONAL HURRICANE CENTER Jack Beven WHERE AMERICA’S CLIMATE AND WEATHER SERVICES.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 POES Microwave Products Presented.
Hurricane Intensity Estimation from GOES-R Hyperspectral Environmental Suite Eye Sounding Fourth GOES-R Users’ Conference Mark DeMaria NESDIS/ORA-STAR,
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Improving Hurricane Intensity.
The Impact of FORMOSAT-3/COSMIC GPS RO Data on Typhoon Prediction
05/06/2016 Juma Al-Maskari, 1 Tropical Cyclones.
Achieving Superior Tropical Cyclone Intensity Forecasts by Improving the Assimilation of High-Resolution Satellite Data into Mesoscale Prediction Models.
1 Using water vapor measurements from hyperspectral advanced IR sounder (AIRS) for tropical cyclone forecast Jun Hui Liu #, Jinlong and Tim.
USE OF AIRS/AMSU DATA FOR WEATHER AND CLIMATE RESEARCH Joel Susskind University of Maryland May 12, 2005.
COSMIC Retreat 2008 Caribbean Project Ground-based GPS Research Group.
Status of improving the use of MODIS, AVHRR, and VIIRS polar winds in the GDAS/GFS David Santek, Brett Hoover, Sharon Nebuda, James Jung Cooperative Institute.
Hyperspectral Infrared Alone Cloudy Sounding Algorithm Development Objective and Summary To prepare for the synergistic use of data from the high-temporal.
Jinlong Li 1, Jun Li 1, Timothy J. Schmit 2, Fang Wang 1, James J. Gurka 3, and W. Paul Menzel 2 1 Cooperative Institute for Meteorological Satellite Studies.
Jinlong Li 1, Jun Li 1, Christopher C. Schmidt 1, Timothy J. Schmit 2, and W. Paul Menzel 2 1 Cooperative Institute for Meteorological Satellite Studies.
Application of COSMIC refractivity in Improving Tropical Analyses and Forecasts H. Liu, J. Anderson, B. Kuo, C. Snyder, and Y. Chen NCAR IMAGe/COSMIC/MMM.
Transitioning unique NASA data and research technologies to the NWS AIRS Profile Assimilation - Case Study results Shih-Hung Chou, Brad Zavodsky Gary Jedlovec,
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
As components of the GOES-R ABI Air Quality products, a multi-channel algorithm similar to MODIS/VIIRS for NOAA’s next generation geostationary satellite.
INFRARED-DERIVED ATMOSPHERIC PROPERTY VALIDATION W. Feltz, T. Schmit, J. Nelson, S. Wetzel-Seeman, J. Mecikalski and J. Hawkinson 3 rd Annual MURI Workshop.
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
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.
Layered Water Vapor Quick Guide by NASA / SPoRT and CIRA Why is the Layered Water Vapor Product important? Water vapor is essential for creating clouds,
SPoRT’s Current and Planned Data Assimilation Activities Inaugural SPoRT/NWS Collaborative Partners Workshop 3-4 March 2010 Bradley Zavodsky Shih-Hung.
Influence of Assimilating Satellite- Derived High-resolution data on Analyses and Forecasts of Tropical Cyclone Track and Structure: A case study of Sinlaku.
NCAR April 1 st 2003 Mesoscale and Microscale Meteorology Data Assimilation in AMPS Dale Barker S. Rizvi, and M. Duda MMM Division, NCAR
Applications of ATMS/AMSU Humidity Sounders for Hurricane Study Xiaolei Zou 1, Qi Shi 1, Zhengkun Qin 1 and Fuzhong Weng 2 1 Department of Earth, Ocean.
1 GOES-R AWG Product Validation Tool Development Sounding Application Team Tim Schmit (STAR) with contributions from many others, such as Jun Li, Zhenglong.
Cirrus Cloud Boundaries from the Moisture Profile Hyperspectral (i.e., Ultraspectral) IR Sounders W. L. Smith 1,2, Jun-Li 2, and E, Weisz 2 1 Hampton University.
Assimilation of AIRS SFOV Profiles in the Rapid Refresh Rapid Refresh domain Haidao Lin Ming Hu Steve Weygandt Stan Benjamin Assimilation and Modeling.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
© Crown copyright Met Office Report to 22 nd NAEDEX Meeting Roger Saunders + many others, Met Office, Exeter.
Satellite Data Assimilation Activities at CIMSS for FY2003 Robert M. Aune Advanced Satellite Products Team NOAA/NESDIS/ORA/ARAD Cooperative Institute for.
CIMSS Hyperspectral IR Sounding Retrieval (CHISR) Processing & Applications Jun Elisabeth Jinlong Hui Liu #, Timothy J. Schmit &,
The Joint Center for Satellite Data Assimilation: Science Workshop 2006 John Le Marshall Director, JCSDA.
Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
PRELIMINARY VALIDATION OF IAPP MOISTURE RETRIEVALS USING DOE ARM MEASUREMENTS Wayne Feltz, Thomas Achtor, Jun Li and Harold Woolf Cooperative Institute.
Suomi NPP Sounding EDR Validation and Evaluation Zhenglong Li #, Jun Li #, Yue Li #, Timothy J. and Christopher D. # Cooperative Institute.
Overview of JPSS and GOES-R Data Assimilation in Global Numerical Weather Prediction Models Presented by Jim Yoe NWS National Centers for Environmental.
Assimilation of GPM satellite radiance in improving hurricane forecasting Zhaoxia Pu and ChauLam (Chris) Yu Department of Atmospheric Sciences University.
Microwave Assimilation in Tropical Cyclones
Training Session: Satellite Applications on Tropical Cyclones
NASA Aqua.
Tim Schmit1, Jun Li2, and Chris Barnet1
Hyperspectral IR Clear/Cloudy
Geostationary Sounders
Hui Liu, Jeff Anderson, and Bill Kuo
Upper Air Data The Atmosphere is 3D and can not be understood or forecast by using surface data alone.
Exploring Application of Radio Occultation Data in Improving Analyses of T and Q in Radiosonde Sparse Regions Using WRF Ensemble Data Assimilation System.
Assimilation of Global Positioning System Radio Occultation Observations Using an Ensemble Filter in Atmospheric Prediction Models Hui Liu, Jefferey Anderson,
Satellite Foundational Course for JPSS (SatFC-J)
Presentation transcript:

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 3 1 University of Wisconsin-Madison 2 Center for Satellite Applications and Research, NESDIS/NOAA 3 National Center for Atmospheric Research Warn-on-Forecast and High Impact Weather Workshop 08 – 09 Feb 2012, Norman, OK

Outline Prepare for GOES-R high temporal water vapor measurements for high impact weather (HIW) forecasting through data assimilation; –MODIS TPW, AMSR-E TPW, and GOES Sounder PW as proxy –WRF/DART, WRF/3DVAR Improve high impact weather forecasts with advanced IR soundings; Verify impact with in-situ measurements, hurricane track and intensity observations, GOES Imager, and microwave measurements; 2012 plan – value added impact on HIW forecasts with advanced IR soundings when combining GOES-R and polar sounders.

Typhoon Sinlaku (2008) Sinlaku Path Sinlaku rapid intensification (9 – 10 September 2008) observed 1. Prepare for GOES-R high temporal water vapor measurements for high impact weather forecasting through data assimilation

Terra TPW Aqua TPW AMSR-E TPW Terra MODIS (upper left), Aqua MODIS (lower left) and AMSR-E (upper right) TPW images over ocean for 10 September The spatial resolution is 5 km for MODIS TPW and 17 km for AMSR-E TPW.

CTL AMSR-E TPW MODIS TPW Obs

GOES-R LAP algorithm improves operational MODIS TPW product; the new MODIS TPW with GOES-R algorithm will be used in 2012 HIW studies GOES-R LAP algorithm improves operational MODIS TPW product; the new MODIS TPW with GOES-R algorithm will be used in 2012 HIW studies MYD07 GOES-R Alg.

GOES Sounder GOES-R ABI GOES Sounder (left) and GOES-R ABI (right) water vapor weighting functions

GOES Reg GOES Phy

9 GOES (W11+E13), +/- 5min 06:00 05:30 06:30 05:55 06:05 n = =9207(E13)+905(W11)

Hourly Precipitation Forecasts in Early Stage 2012/5/10 01 Z ~ 2012/5/10 12 Z Forecast with Conventional data OBS Forecast with GOES Sounder Hourly precipitation forecast from 00 Z – 12 Z over CONUS with WRF/3DVAR, model resolution is 12 km, GOES Sounder 300 – 700 hPa precipitable water (PW) is used every 3 hours (preliminary results).

Cumulative precipitation forecast from 00Z to 06 Z over CONUS with WRF/3DVAR, model resolution is 12 km, GOES Sounder 300 – 700 hPa precipitable water (PW) is used every 3 hours (preliminary results). Observation Forecast with GOES Sounder Forecast with Conventional

AIRS (10 August 2009) CrIS (20 January 2012) global coverage (provided by Dave Tobin – CIMSS/SSEC) 2. Improve high impact weather with advanced IR soundings

(K) AIRS 500 hPa atmospheric temperatures in clear skies (06 September 2008) for hurricane Ike

OBS CTL AIRS-TQ Hurricane at CTL AIRS-TQ CTL: radiosondes, satellite winds, pilot report, GPS, ship, profiler, surface observations AIRS-TQ: CTL + AIRS-TQ

AIRS soundings provide value-added information to conventional observations (Track forecast RMSE for hurricane Ike ) AIRS single FOV soundings in clear skies are used. WRF/3DVAR (12 km resolution) forecasting and assimilation system is used. Assimilation is done every 6 hours. 0-h is from analysis, others are forecasts (06 UTC 06 September 2008 – 00 UTC 10 September 2008).

72-hour ensemble forecasts – Hurricane Irene (2011) (from 06 UTC 23 to 00 UTC 25 August 2011) CTL AIRS Obs Assimilation method: WRF/DART with 36 km resolution Control (CTL): assimilate radiosonde, satellite cloud winds, QuikSCAT winds, aircraft data, COSMIC GPS refractivity, ship, and land surface data; AIRS: CTL + AIRS temperature and moisture soundings Assimilation method: WRF/DART with 36 km resolution Control (CTL): assimilate radiosonde, satellite cloud winds, QuikSCAT winds, aircraft data, COSMIC GPS refractivity, ship, and land surface data; AIRS: CTL + AIRS temperature and moisture soundings Irene (2011) track forecasts Irene (2011) sea level pressure forecasts

Central sea level pressure forecast RMSE - Hurricane Irene (2011) (06 UTC 23 to 00 UTC 25 August 2011) CTL run: assimilate radiosonde, satellite cloud winds, QuikSCAT winds, aircraft data, COSMIC GPS refractivity, ship, and land surface data. AIRS run: CTL + AIRS soundings CTL run: assimilate radiosonde, satellite cloud winds, QuikSCAT winds, aircraft data, COSMIC GPS refractivity, ship, and land surface data. AIRS run: CTL + AIRS soundings CTL AIRS Assimilation method: WRF/DART with 36 km resolution

AMSR-E TPW ( ) TPW forecast (090718) with GTS TPW forecasts with GTS and AIRS (mm) TPW forecast RMSE using collocated AMSR-E as reference ((06 UTC 06 September – 00 UTC 10 September)) No AIRS With AIRS 3. Verify impact – using AMSR-E TWP

Impact of sounding bias correction on TC forecasts Track forecast RMSE for hurricane Ike (2008) (06 UTC 06 September – 00 UTC 10 September) AIRS no BC AIRS with BC

4. Summary and 2012 plans GOES Sounder, MODIS, AMSR-E TPW as proxy for GOES-R shows positive impact on HIW forecasts; Advanced IR soundings provide positive impact on tropical cyclone intensity and track analysis/forecasts; WRF/DART and WRF/3DVAR provide consistent results; 2012 plans on HIW studies – Use GSI to emulate operational environment; focus on using GOES Sounder for preparing GOES-R applications; – Study value added impact with advanced IR soundings (radiances or retrievals) on HIW forecasts when combining GOES-R and polar-orbiting sounders; – Continue collaboration with ESRL RAP modeling group; – Collaborate with JPSS sounding team (Chris Barnet) on using AIRS/CrIS (including AMSU and ATMS).