A Global Tropical Cyclone Formation Probability Product Andrea Schumacher, CIRA/CSU Mark DeMaria and John Knaff, NOAA/NESDIS/StAR Daniel Brown, NHC 64.

Slides:



Advertisements
Similar presentations
Improvements in Statistical Tropical Cyclone Forecast Models: A Year 2 Joint Hurricane Testbed Project Update Mark DeMaria 1, Andrea Schumacher 2, John.
Advertisements

A Blended, Multi-Platform Tropical Cyclone Rapid Intensification Index
Andrea Schumacher, CIRA/CSU Mark DeMaria, NOAA/NESDIS/StAR Dan Brown and Ed Rappaport, NHC.
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.
Creation of a Statistical Ensemble for Tropical Cyclone Intensity Prediction Kate D. Musgrave 1, Brian D. McNoldy 1,3, and Mark DeMaria 2 1 CIRA/CSU, Fort.
Probabilistic Verification of Ensemble Forecasts of Tropical Cyclogenesis Sharanya J. Majumdar RSMAS / University of Miami Ryan D. Torn SUNY at Albany.
Microwave Imagery and Tropical Cyclones Satellite remote sensing important resource for monitoring TCs, especially in data sparse regions Passive microwave.
HFIP Ensemble Products Subgroup Sept 2, 2011 Conference Call 1.
Geostationary Lightning Mapper (GLM) 1 Near uniform spatial resolution of approximately 10 km. Coverage up to 52 deg latitude % flash detection day.
Genesis Potential Index and ENSO Suzana J. Camargo.
Participation: Mark DeMaria (NESDIS), John Knaff (CSIRA/CSU), Buck Sampson (NRL/JTWC), Michelle Mainelli (NHC), Isaac Ginis (URI), Lynn Shan (RSMAS). Work.
Advanced Applications of the Monte Carlo Wind Probability Model: A Year 1 Joint Hurricane Testbed Project Update Mark DeMaria 1, Stan Kidder 2, Robert.
Advanced Applications of the Monte Carlo Wind Probability Model: A Year 2 Joint Hurricane Testbed Project Update Mark DeMaria 1, Robert DeMaria 2, Andrea.
Development of a Probabilistic Tropical Cyclone Genesis Prediction Scheme Jason Dunion1, John Kaplan2, Andrea Schumacher3, Joshua Cossuth4, & Mark DeMaria5.
ATMS 373C.C. Hennon, UNC Asheville Tropical Cyclone Forecasting Where is it going and how strong will it be when it gets there.
A. Schumacher, CIRA/Colorado State University NHC Points of Contact: M. DeMaria, D. Brown, M. Brennan, R. Berg, C. Ogden, C. Mattocks, and C. Landsea Joint.
Improvements in Deterministic and Probabilistic Tropical Cyclone Wind Predictions: A Joint Hurricane Testbed Project Update Mark DeMaria and Ray Zehr NOAA/NESDIS/ORA,
Andrea Schumacher 1, Mark DeMaria 2, John Knaff 3, Liqun Ma 4 and Hazari Syed 5 1 CIRA, Colorado State University, Fort Collins, Colorado 2 NOAA/NWS/NHC,
Tropical Cyclone Applications of GOES-R Mark DeMaria and Ray Zehr NESDIS/ORA, Fort Collins, CO John Knaff CIRA/CSU, Fort Collins, CO Applications of Advanced.
The Impact of Satellite Data on Real Time Statistical Tropical Cyclone Intensity Forecasts Joint Hurricane Testbed Project Mark DeMaria, NOAA/NESDIS/ORA,
New and Updated Operational Tropical Cyclone Wind Products John A. Knaff – NESDIS/StAR - RAMMB, Fort Collins, CO Alison Krautkramer – NCEP/TPC - NHC, Miami,
Improved Statistical Intensity Forecast Models: A Joint Hurricane Testbed Project Update Mark DeMaria, NOAA/NESDIS, Fort Collins, CO John A. Knaff, CIRA/CSU,
Andrea Schumacher 1, Mark DeMaria 2 and John Knaff 2 1. CIRA/CSU, Fort Collins, CO 2. NOAA/NESDIS/StAR, Fort Collins, CO.
Mark DeMaria, NOAA/NESDIS/StAR Andrea Schumacher, CIRA/CSU Dan Brown and Ed Rappaport, NHC HFIP Workshop, 4-8 May 2009.
Improvements in Deterministic and Probabilistic Tropical Cyclone Surface Wind Predictions Joint Hurricane Testbed Project Status Report Mark DeMaria NOAA/NESDIS/ORA,
Guidance on Intensity Guidance Kieran Bhatia, David Nolan, Mark DeMaria, Andrea Schumacher IHC Presentation This project is supported by the.
Continued Development of Tropical Cyclone Wind Probability Products John A. Knaff – Presenting CIRA/Colorado State University and Mark DeMaria NOAA/NESDIS.
NOAA’s Seasonal Hurricane Forecasts: Climate factors influencing the 2006 season and a look ahead for Eric Blake / Richard Pasch / Chris Landsea(NHC)
An Improved Wind Probability Program: A Year 2 Joint Hurricane Testbed Project Update Mark DeMaria and John Knaff, NOAA/NESDIS, Fort Collins, CO Stan Kidder,
An Improved Wind Probability Program: A Joint Hurricane Testbed Project Update Mark DeMaria and John Knaff, NOAA/NESDIS, Fort Collins, CO Stan Kidder,
Statistical Evaluation of the Response of Intensity to Large-Scale Forcing in the 2008 HWRF model Mark DeMaria, NOAA/NESDIS/RAMMB Fort Collins, CO Brian.
A. FY12-13 GIMPAP Project Proposal Title Page version 25 October 2011 Title: Combining Probabilistic and Deterministic Statistical Tropical Cyclone Intensity.
Computing Deep-Tropospheric Vertical Wind Shear Analyses for TC Applications: Does the Methodology Matter? Christopher Velden and John Sears Univ. Wisconsin.
Improving SHIPS Rapid Intensification (RI) Index Using 37 GHz Microwave Ring Pattern around the Center of Tropical Cyclones 65 th Interdepartmental Hurricane.
Tropical cyclone products and product development at CIRA/RAMMB Presented by Cliff Matsumoto CIRA/CSU with contributions from Andrea Schumacher (CIRA),
Improvements to the SHIPS Rapid Intensification Index: A Year-2 JHT Project Update This NOAA JHT project is being funded by the USWRP in NOAA/OAR’s Office.
61 st IHC, New Orleans, LA Verification of the Monte Carlo Tropical Cyclone Wind Speed Probabilities: A Joint Hurricane Testbed Project Update John A.
John Kaplan (NOAA/HRD), J. Cione (NOAA/HRD), M. DeMaria (NOAA/NESDIS), J. Knaff (NOAA/NESDIS), J. Dunion (U. of Miami/HRD), J. Solbrig (NRL), J. Hawkins(NRL),
Development of Probabilistic Forecast Guidance at CIRA Andrea Schumacher (CIRA) Mark DeMaria and John Knaff (NOAA/NESDIS/ORA) Workshop on AWIPS Tools for.
THE NESDIS TROPICAL CYCLONE FORMATION PROBABILITY PRODUCT: PAST PERFORMANCE AND FUTURE PLANS Andrea B. Schumacher, CIRA Mark DeMaria, NOAA/StAR John A.
The Impact of Lightning Density Input on Tropical Cyclone Rapid Intensity Change Forecasts Mark DeMaria, John Knaff and Debra Molenar, NOAA/NESDIS, Fort.
A. FY12-13 GIMPAP Project Proposal Title Page version 26 October 2011 Title: Developing GOES-Based Tropical Cyclone Recurvature Tools Status: New Duration:
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.
Atlantic Simplified Track Model Verification 4-year Sample ( ) OFCL shown for comparison Forecast Skill Mean Absolute Error.
Stream 1.5 Runs of SPICE Kate D. Musgrave 1, Mark DeMaria 2, Brian D. McNoldy 1,3, and Scott Longmore 1 1 CIRA/CSU, Fort Collins, CO 2 NOAA/NESDIS/StAR,
Improvements to Statistical Forecast Models and the Satellite Proving Ground for 2013 Mark DeMaria, John Knaff, NOAA/NESDIS/STAR John Kaplan, Jason Dunion,
Tie Yuan and Haiyan Jiang Department of Earth & Environment, FIU, Miami, Florida Margie Kieper Private Consultant 65 th Interdepartmental Hurricane Conference.
Tropical Cyclone Rapid Intensity Change Forecasting Using Lightning Data during the 2010 GOES-R Proving Ground at the National Hurricane Center Mark DeMaria.
1 1. FY09 GIMPAP Project Proposal Title Page Revised: June 17, 2008  Title: Tropical Cyclone Forecast Product Improvement with GOES  Project Type: Product.
Dynamic Hurricane Season Prediction Experiment with the NCEP CFS CGCM Lindsey Long and Jae Schemm Climate Prediction Center / Wyle IS NOAA/NWS/NCEP October.
Application of T382 CFS Forecasts for Dynamic Hurricane Season Prediction J. Schemm, L. Long, S. Saha and S. Moorthi NOAA/NWS/NCEP October 21, 2008 The.
Dynamic Hurricane Season Prediction Experiment with the NCEP CFS Jae-Kyung E. Schemm January 21, 2009 COLA CTB Seminar Acknowledgements: Lindsey Long Suru.
THE NESDIS TROPICAL CYCLONE FORMATION PROBABILITY PRODUCT: PAST PERFORMANCE AND FUTURE PLANS Andrea B. Schumacher, CIRA Mark DeMaria, NESDIS/StAR John.
John Kaplan (NOAA/HRD), J. Cione (NOAA/HRD), M. DeMaria (NOAA/NESDIS), J. Knaff (NOAA/NESDIS), J. Dunion (U. of Miami/HRD), J. Solbrig (NRL), J. Hawkins(NRL),
Tropical cyclone activity in the Minerva T1279 seasonal forecasts. Preliminary analysis Julia Manganello 1, Kevin Hodges 2 1 COLA, USA 2 NERC Centre for.
Development of a Rapid Intensification Index for the Eastern Pacific Basin John Kaplan NOAA/AOML Hurricane Research Division Miami, FL and Mark DeMaria.
Improved Statistical Intensity Forecast Models: A Joint Hurricane Testbed Year 2 Project Update Mark DeMaria, NOAA/NESDIS, Fort Collins, CO John A. Knaff,
2015 Production Suite Review: Report from NHC 2015 Production Suite Review: Report from NHC Eric S. Blake, Richard J. Pasch, Andrew Penny NCEP Production.
Andrea Schumacher, CIRA/CSU Mark DeMaria and John Knaff, NOAA/NESDIS/StAR.
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.
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.
New Tropical Cyclone Intensity Forecast Tools for the Western North Pacific Mark DeMaria and John Knaff NOAA/NESDIS/RAMMB Andrea Schumacher, CIRA/CSU.
1 Improvements in Real-Time Tropical Cyclone Products Mark DeMaria NESDIS/StAR/RAMM Branch Presented at.
Andrea Schumacher, CIRA/CSU, Fort Collins, CO Mark DeMaria and John Knaff, NOAA/NESDIS/StAR, Fort Collins, CO NCAR/NOAA/CSU Tropical Cyclone Workshop 16.
Developing a tropical cyclone genesis forecast tool: Preliminary results from 2014 quasi- operational testing Daniel J. Halperin 1, Robert E. Hart 1, Henry.
Anne Leroy Météo France, Nouméa, Nouvelle-Calédonie Matthew C. Wheeler
Tropical storm intra-seasonal prediction
Validation of CIRA Tropical Cyclone Algorithms
Presentation transcript:

A Global Tropical Cyclone Formation Probability Product Andrea Schumacher, CIRA/CSU Mark DeMaria and John Knaff, NOAA/NESDIS/StAR Daniel Brown, NHC 64 th Interdepartmental Hurricane Conference 1-4 March, 2010 Savannah, GA

Motivation Agencies required to forecast TC genesis Agencies required to forecast TC genesis Of varying priority (NHC/CPHC=7, JTWC=3) Of varying priority (NHC/CPHC=7, JTWC=3) Numerical global models Numerical global models Getting better as resolution improves Getting better as resolution improves Tendency towards overprediction Tendency towards overprediction Unknown biases Unknown biases Statistical guidance Statistical guidance Lack of real-time, objective statistical guidance Lack of real-time, objective statistical guidance May be due to rarity of formation (needle in a haystack) May be due to rarity of formation (needle in a haystack) 2 64th Interdepartmental Hurricane Conference3 March 2010

Overview of TC Formation Probability (TCFP) Product Available for N Atlantic (2006), NE Pacific (2006) and NW Pacific (2008) basins. Available for N Atlantic (2006), NE Pacific (2006) and NW Pacific (2008) basins. Uses large-scale environmental and convective predictors Uses large-scale environmental and convective predictors 3-step statistical scheme (Screening, LDA, Probability) 3-step statistical scheme (Screening, LDA, Probability) 24-hour probability of TC formation over each 5 x 5 degree lat/lon grid box in domain 24-hour probability of TC formation over each 5 x 5 degree lat/lon grid box in domain 3 64th Interdepartmental Hurricane Conference3 March 2010

Input Parameters ABBREVParameter DescriptionSource LATLatitude ( ° )ATCF PLAND% land coverageLand covrge DSTRMDistance to nearest TC (km)ATCF SSTSea surface temp ( ° C)Reynolds VSHEAR hPa vertical shear (kt)NCEP GFS CIRC850 hPa circulation (kt)NCEP GFS THDEVVertical instability ( ° C)NCEP GFS HDIV850 hPa horizontal divergence (m/s)NCEP GFS SLPSea-level Pressure (hPa)NCEP GFS PCCOLD% coverage by pixels colder than -40 ° CSat WV BTWARMAvg. cloud-cleared brightness temp ( ° C)Sat WV CPROBClimatological formation probabilityBest Track 4 64th Interdepartmental Hurricane Conference3 March 2010

Recent Product Improvements Extended to Indian Ocean and S. Hemisphere Extended to Indian Ocean and S. Hemisphere Added to development dataset Added to development dataset Experimental version running since Aug 2009 Experimental version running since Aug th Interdepartmental Hurricane Conference3 March 2010

Most Important Predictors Same predictors most important in all basins Same predictors most important in all basins However, rank of importance varies However, rank of importance varies NORMALIZED COEFFICIENTSNATLNEPNWPNIOSIOSPAC Clim Formation Prob Circulation (850-mb) Cold Cloud Coverage Distance to Existing TC N. Indian Ocean S. Indian Ocean N.W. Pacific S. Pacific N.E. Pacific N. Atlantic S. Atlantic 6 64th Interdepartmental Hurricane Conference3 March 2010

Verification Summary Brier skill scores and ROC skill scores Brier skill scores and ROC skill scores All positive  forecasts more skillful than climatology All positive  forecasts more skillful than climatology Small  skill could be better Small  skill could be better Reliability Reliability Overpredicts at high prob in N. Atl Overpredicts at high prob in N. Atl Underpredicts at high probs in all other basins Underpredicts at high probs in all other basins Gridbox-to-gridbox comparisons may be too strict Gridbox-to-gridbox comparisons may be too strict Consider fuzzy verification methods Consider fuzzy verification methods 7 64th Interdepartmental Hurricane Conference3 March 2010

2009 – Tropical Atlantic 8 64th Interdepartmental Hurricane Conference3 March 2010

2009 – NE Pacific 9 64th Interdepartmental Hurricane Conference3 March 2010

2009 – NW Pacific 10 64th Interdepartmental Hurricane Conference3 March 2010

N. Indian Ocean (2009) 11 64th Interdepartmental Hurricane Conference3 March 2010

S. Hemisphere (2009) 12 64th Interdepartmental Hurricane Conference3 March 2010

Current Status Objective TC formation guidance product Objective TC formation guidance product Global domain Global domain Automated, real-time Automated, real-time Displays real-time, climatology, and anomaly plots of formation probability and input parameters Displays real-time, climatology, and anomaly plots of formation probability and input parameters Limitations Limitations Essentially a nowcast Essentially a nowcast Low probability values (10-25% max) Low probability values (10-25% max) Skill relative to climatology is moderate Skill relative to climatology is moderate 13 64th Interdepartmental Hurricane Conference3 March 2010

Next Goal: Extend Forecast Be consistent with NHC Genesis Probabilities (48 hrs) Be consistent with NHC Genesis Probabilities (48 hrs) GFS forecast fields (extend to 5 days) GFS forecast fields (extend to 5 days) Use larger-scale averages of convective parameters Use larger-scale averages of convective parameters Explore new predictors Explore new predictors 14 64th Interdepartmental Hurricane Conference3 March 2010

Thank You! References References Schumacher, A.B., M. DeMaria, and J.A. Knaff, 2009: Objective Estimation of the 24-h Probability of Tropical Cyclone Formation. Wea. Forecasting, 24, 456–471. Schumacher, A.B., M. DeMaria, and J.A. Knaff, 2009: Objective Estimation of the 24-h Probability of Tropical Cyclone Formation. Wea. Forecasting, 24, 456–471. DeMaria, M., J.A. Knaff, and B.H. Connell, 2001: A Tropical Cyclone Genesis Parameter for the Tropical Atlantic. Wea. Forecasting, 16, 219–233. DeMaria, M., J.A. Knaff, and B.H. Connell, 2001: A Tropical Cyclone Genesis Parameter for the Tropical Atlantic. Wea. Forecasting, 16, 219– th Interdepartmental Hurricane Conference3 March 2010