Application and Improvements to COAMPS-TC Richard M. Hodur 1, J. Doyle 2, E. Hendricks 2, Y. Jin 2, J. Moskaitis 2, K. Sashegyi 2, J. Schmidt 2 1 Innovative.

Slides:



Advertisements
Similar presentations
Tropical Cyclone Climatology. Tropical Cyclone Formation Locations (Figure obtained from Global Perspectives on Tropical Cyclones, Ch. 3, © 1995 WMO.)
Advertisements

Factors that influence the interannual variability of hurricane frequency in the NE Pacific Dr. Jennifer Collins Geography Department USF May 19-21, 2008.
Tropical Cyclone Intrinsic Variability & Predictability Gregory J. Hakim University of Washington 67th IHC/Tropical Cyclone Research Forum 6 March 2013.
1 Evaluation of two global HYCOM 1/12º hindcasts in the Mediterranean Sea Cedric Sommen 1 In collaboration with Alexandra Bozec 2 and Eric Chassignet 2.
GFDL’s global non-hydrostatic modeling system for multi-time-scale tropical cyclone simulations and predictions Shian-Jiann Lin with contributions from:
Further Development of a Statistical Ensemble for Tropical Cyclone Intensity Prediction Kate D. Musgrave 1 Mark DeMaria 2 Brian D. McNoldy 3 Yi Jin 4 Michael.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Tropical Cyclone Prediction for HFIP with COAMPS-TC Richard M. Hodur 1, S. Chen 2, J. Cummings 3, J. Doyle 2, T. Holt 2, H. Jin 2, Y. Jin 2, C.-S. Liou.
Satellite SST Radiance Assimilation and SST Data Impacts James Cummings Naval Research Laboratory Monterey, CA Sea Surface Temperature Science.
Richard M. Hodur Marine Meteorology Division Naval Research Laboratory Monterey, CA NRL Monterey Plans for Tropical Cyclone Modeling using the Coupled.
COAMPS-TC DA Ensemble Serial EnKF (DART) Two-way interactive DA – highest resolution nest defines the innovation Observations: Surface/ship stations, cloud-track.
Examination of the Dominant Spatial Patterns of the Extratropical Transition of Tropical Cyclones from the 2004 Atlantic and Northwest Pacific Seasons.
Impact of the 4D-Var Assimilation of Airborne Doppler Radar Data on Numerical Simulations of the Genesis of Typhoon Nuri (2008) Zhan Li and Zhaoxia Pu.
2-5 Mar, 2015IHC1 Sensitivity of Ocean Sampling for Coupled COAMPS-TC Prediction Sue Chen 1, James Cummings 2, Jerome Schmidt 1, Peter Black 2, Elizabeth.
Brewing Up a Storm Hurricanes Expert Folder. Why Do Hurricanes Form and Where Are They Found? Hurricanes form and intensify over oceanic regions. They.
Impact of Infrared, Microwave and Radio Occultation Satellite Observations on Operational Numerical Weather Prediction Lidia Cucurull (1) and Richard A.
Sensitivity of High-resolution Tropical Cyclone Intensity Forecast to Surface Flux Parameterization Chi-Sann Liou, NRL Monterey, CA.
Modeling study of the coastal upwelling system of the Monterey Bay area during 1999 and I. Shulman (1), J.D. Paduan (2), L. K. Rosenfeld (2), S.
Improvements in Deterministic and Probabilistic Tropical Cyclone Surface Wind Predictions Joint Hurricane Testbed Project Status Report Mark DeMaria NOAA/NESDIS/ORA,
Are Atlantic basin tropical cyclone intensity forecasts improving? Jonathan R. Moskaitis 67 th IHC / 2013 Tropical Cyclone Research Forum Naval Research.
Decadal Variations of Intense Typhoon Activity Johnny Chan CityU-IAP Laboratory for Atmospheric Science Laboratory for Atmospheric Research Dept. of Physics.
MPO 674 Lecture 20 3/26/15. 3d-Var vs 4d-Var.
NOAA’s Seasonal Hurricane Forecasts: Climate factors influencing the 2006 season and a look ahead for Eric Blake / Richard Pasch / Chris Landsea(NHC)
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.
30 November December International Workshop on Advancement of Typhoon Track Forecast Technique 11 Observing system experiments using the operational.
Initialization Schemes in the Naval Research Laboratory’s Tropical Cyclone Prediction Model (COAMPS-TC) Eric A. Hendricks 1 Melinda S. Peng 1 Tim Li 2.
© Crown copyright Met Office Plans for Met Office contribution to SMOS+STORM Evolution James Cotton & Pete Francis, Satellite Applications, Met Office,
Computing Deep-Tropospheric Vertical Wind Shear Analyses for TC Applications: Does the Methodology Matter? Christopher Velden and John Sears Univ. Wisconsin.
Ligia Bernardet 1*, E. Uhlhorn 2, S. Bao 1* & J. Cione 2 1 NOAA ESRL Global Systems Division, Boulder CO 2 NOAA AOML Hurricane Research Division, Miami.
C20C Workshop, ICTP Trieste 2004 The impact of stratospheric ozone depletion and CO 2 on tropical cyclone behaviour in the Australian region Syktus J.
Impact of global warming on tropical cyclone structure change with a 20-km-mesh high-resolution global model Hiroyuki Murakami (AESTO/MRI, Japan) Akio.
Validation of US Navy Polar Ice Prediction (PIPS) Model using Cryosat Data Kim Partington 1, Towanda Street 2, Mike Van Woert 2, Ruth Preller 3 and Pam.
Tropical Cyclones and Climate Change in a High Resolution General Circulation Model, HiGEM Ray Bell Supervisors: Prof. P.L. Vidale, Dr. Kevin Hodges and.
PREDICTABILITY OF WESTERN NORTH PACIFIC TROPICAL CYCLONE EVENTS ON INTRASEASONAL TIMESCALES WITH THE ECMWF MONTHLY FORECAST MODEL Russell L. Elsberry and.
Enhancing predictability of the Loop Current variability using Gulf of Mexico Hycom Matthieu Le Hénaff (1) Villy Kourafalou (1) Ashwanth Srinivasan (1)
Munehiko Yamaguchi Typhoon Research Department, Meteorological Research Institute of the Japan Meteorological Agency 9:00 – 12: (Thr) Topic.
Evaluation of Experimental Models for Tropical Cyclone Forecasting in Support of the NOAA Hurricane Forecast Improvement Project (HFIP) Barbara G. Brown,
1 The Asian-Australian Monsoon System: Recent Evolution, Current Status and Prediction Update prepared by Climate Prediction Center / NCEP August 9, 2010.
1 James D. Doyle 1, Hao Jin 2, Clark Amerault 1, and Carolyn Reynolds 1 1 Naval Research Laboratory, Monterey, CA 2 SAIC, Monterey, CA James D. Doyle 1,
Application of a Hybrid Dynamical-Statistical Model for Week 3 and 4 Forecast of Atlantic/Pacific Tropical Storm and Hurricane Activity Jae-Kyung E. Schemm.
Tropical Cyclone Rapid Intensity Change Forecasting Using Lightning Data during the 2010 GOES-R Proving Ground at the National Hurricane Center Mark DeMaria.
An Examination Of Interesting Properties Regarding A Physics Ensemble 2012 WRF Users’ Workshop Nick P. Bassill June 28 th, 2012.
Improved Statistical Intensity Forecast Models: A Joint Hurricane Testbed Year 2 Project Update Mark DeMaria, NOAA/NESDIS, Fort Collins, CO John A. Knaff,
1 The Asian-Australian Monsoon System: Recent Evolution, Current Status and Prediction Update prepared by Climate Prediction Center / NCEP August 16, 2010.
Fleet Numerical… Supercomputing Excellence for Fleet Safety and Warfighter Decision Superiority… 1 Chuck Skupniewicz Models (N34M) FNMOC Operations Dept.
Application of HYCOM in Eddy- Resolving Global Ocean Prediction Community Effort: Community Effort: NRL, Florida State, U. of Miami, GISS, NOAA/NCEP, NOAA/AOML,
Impact of Blended MW-IR SST Analyses on NAVY Numerical Weather Prediction and Atmospheric Data Assimilation James Cummings, James Goerss, Nancy Baker Naval.
TC Projects Joint Hurricane Testbed, Surface winds GOES-R, TC structure – TC Size TPW & TC size (Jack Dostalek) IR climatology – RMW/wind profile Proving.
1 The Asian-Australian Monsoon System: Recent Evolution, Current Status and Prediction Update prepared by Climate Prediction Center / NCEP 2 November 2009.
Overview of CIRA and NESDIS Global TC Services Presented by John Knaff NOAA/NESDIS Regional and Mesoscale Meteorology Branch Fort Collins, CO USA For The.
Analysis of Typhoon Tropical Cyclogenesis in an Atmospheric General Circulation Model Suzana J. Camargo and Adam H. Sobel.
1 Typhoon Track and Intensity Simulations by WRF with a New TC-Initialization Scheme HIEP VAN NGUYEN and YI-LENG CHEN Department of Meteorology, University.
Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment by P. J. Webster, G. J. Holland, J. A. Curry, and H.-R. Chang Science.
New Tropical Cyclone Intensity Forecast Tools for the Western North Pacific Mark DeMaria and John Knaff NOAA/NESDIS/RAMMB Andrea Schumacher, CIRA/CSU.
Objective and Automated Assessment of Operational Global Forecast Model Predictions of Tropical Cyclone Formation Patrick A. Harr Naval Postgraduate School.
Upgrades to the GFDN model for 2009 and Beyond Morris A. Bender Geophysical Fluid Dynamics Laboratory, NOAA Isaac Ginis, Biju Thomas, Richard Yablonsky.
Satellite + Aircraft Tropical Cyclone Surface Wind Analysis Joint Hurricane Testbed.
HYCOM and GODAE in Relation to Navy Ocean Prediction An Overview Presented by Harley Hurlburt Naval Research Laboratory Stennis Space Center, MS
1 James D. Doyle and Clark Amerault Naval Research Laboratory, Monterey, CA James D. Doyle and Clark Amerault Naval Research Laboratory, Monterey, CA Sensitivity.
Microphysical-dynamical interactions in an idealized tropical cyclone simulation Stephen R. Herbener and William R. Cotton Colorado State University, Fort.
Advisor: Dr. Fuqing Zhang
A Guide to Tropical Cyclone Guidance
Variation of tropical cyclone season in the western North Pacific
BFB: 9/29/2015 Tropical Weather
High-resolution air-sea modeling of the Philippines winter monsoon
A Global Tropical Cyclone Climatology: Revisiting Gray (1968, 1979)
The Impact of TY Sinlaku on the Northern Hemisphere Midlatitudes During T-PARC Elizabeth Sanabia & Patrick Harr Naval Postgraduate School Acknowledgments:
Tropical Cyclone Structure-2008 (TCS-08) ONR/NRL Funded Projects
Jacki Kinney Climatology December 6, 2005
Validation of CIRA Tropical Cyclone Algorithms
Presentation transcript:

Application and Improvements to COAMPS-TC Richard M. Hodur 1, J. Doyle 2, E. Hendricks 2, Y. Jin 2, J. Moskaitis 2, K. Sashegyi 2, J. Schmidt 2 1 Innovative Employee Solutions/Science Applications International Corporation, Monterey, CA 2 Naval Research Laboratory, Monterey, CA 2013 IHC/Tropical Cyclone Research Forum College Park, MD 4-8 March 2013

Application and Improvements to COAMPS-TC Outline Current Methodology Synthetic Observations Real-Time Run Methodology Proposed New Methodology New Synthetics Dynamic Initialization Conclusion and Future Plans

Synthetic TC Observations Purpose Create observations of the TC circulation, making up for the lack of real-time in- situ observations Current Methodology Fixed 0.5°, 1°, 2°, 3°, 4°, and 6° 8 profiles per radial ring u-, v-, T, z values at each point Modified Rankine vortex 9 levels from 1000 to 400 mb Fixed vertical profile/No vertical tilt Current storm motion included Large-scale shear added TC Synthetics for Ernesto 2012

TC Analysis with NAVDAS Sandy: Analysis Relocate TC/Grid Assimilate TC synthetics and all other real-time observations NAVDAS: NRL Atmospheric Variational Data Assimilation System First-Guess FieldFinal Analysis

Cold Start Global Analyses NAVDAS 120-h Forecast Global Forecast Fields - LBC Observations TC Synthetics SST Analysis COAMPS Real-Time Run Methodology Performed in AF DSRC, Navy DSRC Observations and TC Synthetics are used together in NAVDAS to generate the initial fields for the model Warm Start 6-h Forecast Fields A 2-d ocean SST analysis (NCODA) is used to produce the SST field that is held constant during each forecast

Cold Start Global Analyses NAVDAS 120-h Forecast Global Forecast Fields - LBC Observations TC Synthetics SST Analysis COAMPS Real-Time Run Methodology Performed in AF DSRC, Navy DSRC The first time the system is run for a TC, a cold start is done, so global fields are used for the first-guess fields and for the lateral boundary conditions

Warm Start 6-h Forecast Fields NAVDAS 120-h Forecast Global Forecast Fields - LBC Observations TC Synthetics SST Analysis COAMPS Real-Time Run Methodology Warm Start After the first time that COAMPS-TC is run for a system, warm starts are done and the global model fields are used only to supply the lateral boundary conditions

COAMPS-TC Areas Western North Pacific: 281x151 Western North Atlantic: 281x151 Arabian Sea and Bay of Bengal: 281x151 Central and East North Pacific: 321x151 SW Pacific and South Indian Ocean: 521x151 Triple nested grids: 45/15/5 km Inner grids: Move with the TC 121x121 (15 km), 181x181 (5 km) Multiple storms in any basin are run separately

Synthetic TC Observations: New Purpose Create a new set of observations of the TC circulation that can be adapted for different sized storms Proposed New Methodology Variable positioning of the radial rings: One ring for the RMW (observed or first-guess) User-defined density (# of rings, # of synthetics per ring, and ring spacing) User-defined radii of outer-ring Any number of profiles per radial ring u-, v-, T, z values Modified Rankine vortex 7 levels from 1000 to 400 mb Fixed vertical profile/No vertical tilt Current storm motion included Large-scale shear added TC Synthetics for Ernesto 05L/2012 TC Synthetics for invest area 98W/2013

Pre-Retro Test Cases 99 Cases from 2010, 2011, and 2012

COAMPS-TC Track Forecasts Old vs. New TC Synthetics Ernesto (2012/05L) Old Synthetics New Synthetics The new synthetics led to improved track forecasts for Ernesto, particularly in it’s early stages

Old Synthetics New Synthetics COAMPS-TC Track Forecasts Old vs. New TC Synthetics Katia (2011/12L) The new synthetics led to improved track forecasts for Katia, particularly during recurvature

Effect of Synthetic Observations on COAMPS-TC Track Forecast Errors Old (‘control’, blue) vs. New (‘b’, green) TC Synthetics The average track error over all storms was lower using the new synthetics for all forecast times.

Effect of Synthetic Observations on COAMPS-TC Intensity Forecast Errors Old (‘control’, blue) vs. New (‘b’, green) TC Synthetics The average intensity error over all storms was lower using the new synthetics during the h time period. Initial “spin-down”

Cold Start Global Analyses NAVDAS 120-h Forecast Global Forecast Fields - LBC Observations TC Synthetics SST Analysis COAMPS Real-Time Run Methodology Performed in AF DSRC, Navy DSRC Reminder This is the method that is currently used for running COAMPS-TC Warm Start 6-h Forecast Fields

Cold Start Global Analyses NAVDAS 120-h Forecast Global Forecast Fields - LBC Observations Remove TC Vortex Insert TC Vortex 12-h DI Forecast SST Analysis COAMPS Proposed Run Methodology TCDI/DI: Tropical Cyclone Dynamic Initialization/Dynamic Initialization Hendricks et al. (2011) WAF, Zhang et al. (2012) WAF, Hendricks et al. (2013) MWR, submitted TCDI DI Warm Start 6-h Forecast Fields

Effect of TCDI/DI on COAMPS-TC Track Forecast Errors Old (‘control’, blue) vs. TCDI/DI (‘c’, green) The average track error over all storms was unchanged using the TCDI/DI methodology for all forecast times.

Effect of TCDI/DI on COAMPS-TC Intensity Forecast Errors Old (‘control’, blue) vs. TCDI/DI (‘c’, green) The average intensity error over all storms was lower using TCDI/DI during the 6-54 h time period. Also, the initial spin-down was eliminated.

Cold Start Global Analyses NAVDAS 120-h Forecast Global Forecast Fields - LBC Observations New TC Synthetics 12-h DI Forecast SST Analysis COAMPS Proposed Run Methodology NS/DI: New Synthetics/Dynamic Initialization Warm Start 6-h Forecast Fields

Conclusion and Future Plans COAMPS-TC Real-time applications ( ) New synthetics: Improved track forecasts Improved intensity forecasts TCDI/DI: No change to track forecasts Improved intensity forecasts Eliminates initial spin-down Next steps: New synthetics DI 2013 retro cases and real-time forecasts

Application and Improvements to COAMPS-TC Richard M. Hodur 1, J. Doyle 2, E. Hendricks 2, Y. Jin 2, J. Moskaitis 2, K. Sashegyi 2, J. Schmidt 2 1 Innovative Employee Solutions/Science Applications International Corporation, Monterey, CA 2 Naval Research Laboratory, Monterey, CA 2013 IHC/Tropical Cyclone Research Forum College Park, MD 4-8 March 2013