# Presentation: 157139

## Joint Hurricane Test Bed (JHT)Progress and Future Plans

**Joint Hurricane Test Bed (JHT)****Progress and Future Plans**

**USWRP**

**Dr. Jiann-Gwo Jiing****JHT Director****Chief, TSB TPC/NHC****3 March 2004**

## Outline

**Project Assessments 2002-03**
**Status of 10 First Round Projects (FY01-02)**
**Summary of Second Round Projects Funded in Late FY03**
**JHT Future Plans**
**JHT Issues**

## Project Assessments 2002-03

**IT configuration and algorithm processing provided for each project to facilitate forecaster participation**
**Real-time testing and evaluation activities continued during 2003 season**
**PIs presented updates at 57****th**** Interdepartmental Hurricane Conference (IHC) (Mar 2003) **
**FY01-02 projects concluded (Jun-Aug 2003)**
**JHT reports to TPC/NHC Director on results from 2002-03 hurricane seasons (Nov 2003)**
**TPC/NHC decisions for operational implementation (Dec 2003)**

_**Project Assessments 2002-03**_

## Input for JHT Project Reports to the                                                                                                                       TPC Director

**Project PI final report**
**JHT staff members’ assessments**
**TPC Point of Contact (POC) feedback**
**JHT IT Facilitator report**
**IT transfer status**
**Compatibility and support issues**
**Estimates of costs to implement and support**
**Input from TPC Technical Support Branch Chief**

## Example: Development of a Tropical Cyclone Rainfall

**Develop R-CLIPER from gauge and TMI climatology for operational and model QPF comparisons**
**Project climatology along forecast track**

**Example: Development of a Tropical Cyclone Rainfall**
**Climatology and Persistence (R-CLIPER) Model**
**PI: Frank Marks (NOAA/AOML/HRD)**
**POC:  Stacy Stewart and Hugh Cobb (TPC), David Roth (HPC)**
**Status:  Accepted by TPC for operational implementation**

## Example: Development of a Tropical Cyclone Rainfall

**Climatology and Persistence (R-CLIPER) Model**

***Considerations for operational implementation decision***
***Favorable:***
**  ****Provides baseline forecast, as originally intended, needed to evaluate the skill of other sources of TC rainfall guidance (primarily dynamical models, as in the new JHT project funded in FY03)**
**  ****TPC and HPC forecasters have found the guidance to be useful operationally (e.g., for preparing generalized rainfall information in public advisories)**
**  ****Code has been transferred to TPC where it is run and maintained locally**
**  ****Gempak/NMAP2 graphical output already routinely available to specialists for each active TC in the Atlantic and eastern North Pacific basins**
**  ****Negligible CPU, disk space, memory to run; minimal support required**
***Unfavorable:***
**  ****Unclear reason for needed adjustment factor to final output**
**  ****Verification results not yet completed**
**  ****Does not account for storm asymmetries**

## Example: Development of a Tropical Cyclone Rainfall

**Climatology and Persistence (R-CLIPER) Model**

**Example real-time output in NAWIPS during Hurricane Lili (2002)**

## Example: Development of a Tropical Cyclone Rainfall

**Climatology and Persistence (R-CLIPER) Model**
**Example content for IT report to TPC Director**

## Factors Considered in TPC Decisionsfor Operational Implementation

**Forecast or Analysis Benefit:**** expected improvement in operational forecast and/or analysis accuracy**
**Efficiency:****  adherence to forecaster time constraints and ease of use needs**
**Compatibility:****  IT compatibility with operational hardware, software, data, communications, etc.**
**Sustainability:****  availability of resources to operate, upgrade, and/or provide support**

## Status of 10 First Round Projects     (FY01-02)

**Ten projects were funded in FY01**
**One was denied second year funding**
**Six were accepted for operational**
**  ****implementation                                                                                                         **
**Decisions on two projects were deferred until**
**  ****the completion of closely related new projects**
**One was not accepted for operational**
**  ****implementation at this time**

## Summary of Second Round of Projects Funded in Late FY03

## Open to government, academic, and private sector applicants worldwide
Estimated total available funding $1.5M

**Open to government, academic, and private sector applicants worldwide**
**Estimated total available funding $1.5M**

_**Federal Register Notice (FRN) released 3 January 2003**_

## Preapplications (Letters of Intent) reviewed in February 2003
34 preapplications received
24 recommended to submit a full proposal
Full proposals reviewed during April and May 2003
24 full proposals received
Proposals independently reviewed and scored by 7-member review panel based upon six review criteria listed in the FRN

**Preapplications (Letters of Intent) reviewed in February 2003**
**34 preapplications received**
**24 recommended to submit a full proposal**
**Full proposals reviewed during April and May 2003**
**24 full proposals received**
**Proposals independently reviewed and scored by 7-member review panel based upon six review criteria listed in the FRN**

## Recommendations and Selections (Jun – Sep 2003)
Proposal rank determined by the average of total scores from all (non-recused) reviewers 
TPC/JHT Directors recommended funding 16 proposals
15 new projects funded for summer 2003 – summer 2004 (one of selected 16 withdrawn)
3 one-year projects and 12 two-year projects (latter will be reviewed after first year for a second year of funding)

**Recommendations and Selections (Jun – Sep 2003)**
**Proposal rank determined by the average of total scores from all (non-recused) reviewers **
**TPC/JHT Directors recommended funding 16 proposals**
**15 new projects funded for summer 2003 – summer 2004 (one of selected 16 withdrawn)**
**3 one-year projects and 12 two-year projects (latter will be reviewed after first year for a second year of funding)**

## FY03 Funded Project Focus Areas

| Primary Area of Focus | # of Projects |
| --- | --- |
| Improvements to dynamical models (for track, intensity, and precipitation forecasts) | 4 |
| Track forecast guidance algorithms | 3 |
| Intensity forecasting algorithms | 3 |
| Enhancements to observed data, assimilation | 2 |
| Initial intensity estimation | 1 |
| Tropical cyclogenesis | 1 |
| Rainfall | 1 |
| Total | 15 |

**FY03 Funded Project Focus Areas**

## TPC/NHC Project Points of Contact

**Forecaster**
**15 projects, 6 specialists**
**3 specialists handle 3 projects each, other 3 handle 2 projects each**
**Additional TAFB and/or HSM contacts where desired**
**Real-time evaluation, verification, written reports**
**Technical**
**Needed for some projects**
**Assist PI, their staff, and JHT Facilitator in setup of code, data, etc. for testing and evaluation**
**Provide input to JHT staff on written assessments**

## FY03 Funding DistributionTotal $1.35M (another $150K unused)

**FY03 Funding Distribution****Total $1.35M (another $150K unused)**

## Funding Distribution ComparisonIncreased funding to researchers outside of NOAA

**Funding Distribution Comparison****Increased funding to researchers outside of NOAA**

**FY2003****$1.35M**

**FY2002****$1.2M**

## JHT Future Plans

**Round Two projects (FY03-04 funding)**
**Review each project for second year of funding (FY04)**
**Real-time testing and evaluation during 2004 hurricane season, and part of 2005 season**
**Submit results to TPC in late 2005 for decisions on operational implementation**
**Round Three projects (FY05-06 funding)**
**Develop new announcement of opportunity for early FY05 release**
**Anticipating similar areas of focus as for Round Two**
**Oct 2004 – Mar 2005: review, select, and fund new set of projects**
**Real-time testing and evaluation during 2005 and 2006 hurricane seasons (could be delayed for one season if funding schedule is delayed)**

## JHT Issues

**Perceptions**
**Lack of initial fairness and openness**
**Addressed by the JHT Federal Register Notice in 2003**
**NOAA laboratories have an unfair advantage over non-NOAA research institutions**
**More than half of the funds awarded in FY 03 went to non-NOAA institutions**
**JHT Steering Committee comprises four non-NOAA members and three NOAA members**
**Closed to innovative modeling approaches**
**Will be addressed by the Developmental Test Bed (DTC)**
**Heavy workload for TPC**
**Impact on administrative, technical, and operations staff **
**TPC and JHT staffs are identifying ways to streamline and delegate work, based on lessons learned from completion of a full first round of projects**

## JHT Issues  continued

**IT compatibility**
**Potential lack of resources for operational implementation of beneficial, cutting-edge techniques**
**Will seek funding to implement such techniques as needs arise**
**Funding cycle and schedule**
**Lengthy process from announcement of opportunity to dispersal of funds to non-NOAA participants**
**NOAA is addressing the grants applications and awards process**
**Asynchronous with hurricane season (would be highly desirable for projects to not miss a hurricane season)**
**USWRP and JHT staffs working together on viable options, including earlier release of announcement of opportunity**

## Thank you

## FY03 Point of Contact DistributionDynamical model upgrades, obs/assimilation projects

| Proposal | PIs | TPC POC | Yrs |
| --- | --- | --- | --- |
| Upgrades to the operational GFDL hurricane prediction system | Bender | Pasch
Rhome | 2 |
| Improving the GFDL/URI coupled hurricane-ocean model | Ginis | Pasch
Rhome | 2 |
| Hurricane model transitions to operations at NCEP/EMC | Pan | Pasch
Rhome | 2 |
| Evaluation of upper ocean mixing parameterizations | Jacob
Shay
Halliwell | Lawrence
Mainelli | 2 |
| Real-time dissemination of hurricane wind fields determined from airborne doppler | Gamache | Franklin, McAdie, Blake
EMC: several | 2 |
| Targeting strategies to improve hurricane track forecasts | Majumdar
Aberson
Toth | Franklin | 2 |

## FY03 Point of Contact DistributionCyclogenesis and track forecasting projects

| Proposal | PIs | TPC POC | Yrs |
| --- | --- | --- | --- |
| Objective and automated assessment of operational global forecast model predictions of tropical cyclone formation and life cycle | Harr | Pasch
Avila
Blake | 2 |
| An updated baseline for track forecast skill through five days for the Atlantic and Northeastern and Northwestern Pacific basins | Aberson | Franklin
Gross | 1 |
| Quantifying tropical cyclone track forecast uncertainty and improving extended-range tropical cyclone track forecasts using an ensemble of dynamical models | Goerss | Beven
Gross | 1 |
| Transition of revised dynamical model track prediction evaluation expert system (DYMES) | Boothe | Stewart
Roberts | 1 |

## FY03 Point of Contact DistributionIntensity and rainfall projects

| Proposal | PIs | TPC POC | Yrs |
| --- | --- | --- | --- |
| Improving the validation and prediction of tropical cyclone rainfall | Pan
Black
Marchok | Stewart
Molleda | 2 |
| Implementation of the Advanced Objective Dvorak Technique (AODT) and Tropical Cyclone Intensity Estimation (TIE) algorithms at TPC | Kossin
Velden | Beven, Rhome, Mainelli, Cobb, Brown | 2 |
| Improvements in Deterministic and Probabilistic Tropical Cyclone Surface Wind Predictions | Knaff
DeMaria | Lawrence
Gross
Sisko | 2 |
| Development of a rapid intensification index for the eastern Pacific basin | Kaplan | Avila
Sisko | 2 |
| Developing an inner-core SST cooling predictor for use in SHIPS | Cione
Gentemann
Kaplan | Avila, Berg, Sisko, Blake | 2 |

## FY03 IndividualProject OverviewsDynamical model upgrades,observations and assimilation

## Upgrades to the operational GFDL hurricane prediction system
Morris Bender (NOAA/GFDL)
Goals:
Test GFS surface physics package
Modify downdraft formulation in SAS scheme
Improve momentum mixing in SAS scheme
Include effect of evaporation in large-scale condensation
Modify land-sea mask for consistency between atmospheric and ocean models
Import and test latest version of Lin microphysics

- Morris Bender (NOAA/GFDL)
- Goals:
- Test GFS surface physics package
- Modify downdraft formulation in SAS scheme
- Improve momentum mixing in SAS scheme
- Include effect of evaporation in large-scale condensation
- Modify land-sea mask for consistency between atmospheric and ocean models
- Import and test latest version of Lin microphysics

## Improving the GFDL/URI coupled hurricane-ocean model for transition to operations
Isaac Ginis (Univ. of Rhode Island)
Goals:
Improve ocean component of the coupled model in the Atlantic basin (include explicit init of Loop Current using altimeter data)
Implement ocean coupling in eastern Pacific basin (reduce positive intensity forecast biases)
Evaluate and transfer to operations a new high-resolution version of the coupled model (5 nm spacing inner mesh)
Test and implement new air-sea flux parameterizations

- Isaac Ginis (Univ. of Rhode Island)
- Goals:
- Improve ocean component of the coupled model in the Atlantic basin (include explicit init of Loop Current using altimeter data)
- Implement ocean coupling in eastern Pacific basin (reduce positive intensity forecast biases)
- Evaluate and transfer to operations a new high-resolution version of the coupled model (5 nm spacing inner mesh)
- Test and implement new air-sea flux parameterizations

## Hurricane model transitions to operations at NCEP/EMC
Hua-Lu Pan (EMC), Bob Tuleya (EMC contractor)
Goals:
Test GFS shallow convection and surface parameterizations in GFDL model
Test bulk microphysics packages
Run parallel version with NOAH LSM in 2003 season
Test WRF physics packages
Test movable nest HWRF
Evaluate Hurricane WRF prototype, compare to GFDL w/WRF physics packages, run the prototype operationally in 2005?

- Hua-Lu Pan (EMC), Bob Tuleya (EMC contractor)
- Goals:
- Test GFS shallow convection and surface parameterizations in GFDL model
- Test bulk microphysics packages
- Run parallel version with NOAH LSM in 2003 season
- Test WRF physics packages
- Test movable nest HWRF
- Evaluate Hurricane WRF prototype, compare to GFDL w/WRF physics packages, run the prototype operationally in 2005?

## Evaluation of upper ocean mixing parameterizations
Daniel Jacob (GEST/UMBC)
Lynn Shay and George Halliwell (UM/RSMAS)
Goals
Use primitive equation ocean model to simulate upper ocean response to three TCs (Gilbert, Isidore, Lili) using realistic forcing and several ocean vertical mixing models
Compare simulated upper ocean thermal and current structure to data from AXBTs, conductivity, temperature and depth probes (AXCTDs), and current profilers (AXCPs)
Identify mixing models that produce most realistic simulations; provide best vertical mixing parameterization to NCEP for use in coupled models

- Daniel Jacob (GEST/UMBC)
- Lynn Shay and George Halliwell (UM/RSMAS)
- Goals
- Use primitive equation ocean model to simulate upper ocean response to three TCs (Gilbert, Isidore, Lili) using realistic forcing and several ocean vertical mixing models
- Compare simulated upper ocean thermal and current structure to data from AXBTs, conductivity, temperature and depth probes (AXCTDs), and current profilers (AXCPs)
- Identify mixing models that produce most realistic simulations; provide best vertical mixing parameterization to NCEP for use in coupled models

## Real-time dissemination of hurricane wind fields determined from airborne doppler
John Gamache (HRD)
Goals
Implement existing Doppler radar wind analysis scheme onboard NOAA recon aircraft
Transmit analysis from aircraft to TPC and into H*Wind
Preliminary development and testing of superobs on the aircraft for eventual assimilation into models

- John Gamache (HRD)
- Goals
- Implement existing Doppler radar wind analysis scheme onboard NOAA recon aircraft
- Transmit analysis from aircraft to TPC and into H*Wind
- Preliminary development and testing of superobs on the aircraft for eventual assimilation into models

## Targeting strategies to improve hurricane track forecasts
Sharanya Majumdar (Univ. of Miami/RSMAS)
Sim Aberson (HRD), Zoltan Toth (EMC)
Goals
Develop objective strategy: Ensemble Transform Kalman Filter (ETKF), used in winter storms, using operational ensemble forecasts
Use present subjective targeting method operationally
Identify cases in which ETKF selects targets similar to subjective method; re-run models to simulate ETKF being used operationally to produce sensitivity maps
Refine ETKF software (incl. merge with flight track drawing under development) and procedures for transition to operations
Operationally produce ETKF products that select best feasible flight tracks

- Sharanya Majumdar (Univ. of Miami/RSMAS)
- Sim Aberson (HRD), Zoltan Toth (EMC)
- Goals
- Develop objective strategy: Ensemble Transform Kalman Filter (ETKF), used in winter storms, using operational ensemble forecasts
- Use present subjective targeting method operationally
- Identify cases in which ETKF selects targets similar to subjective method; re-run models to simulate ETKF being used operationally to produce sensitivity maps
- Refine ETKF software (incl. merge with flight track drawing under development) and procedures for transition to operations
- Operationally produce ETKF products that select best feasible flight tracks

## FY03 IndividualProject Overviews FY03 IndividualProject OverviewsTropical cyclogenesis,TC track forecasting algorithms

## Objective and automated assessment of operational global forecast model predictions of tropical cyclone formation and life cycle
Patrick Harr (Naval Postgraduate School)
Goals:
Provide a tool for development of probabilistic measures of guidance accuracy among global model products related to TC formation and life cycle
Discriminate between circulations in models that may develop as predicted and those that are false alarms
Automatically and objectively identify and evaluate TC precursor circulations, and their physical characteristics, in global analysis and model forecast fields
Summarize and catalogue model performance on a circulation for comparison with future circulations
Provide web interface for operational assessment of models relevant to TC formation

- Patrick Harr (Naval Postgraduate School)
- Goals:
- Provide a tool for development of probabilistic measures of guidance accuracy among global model products related to TC formation and life cycle
- Discriminate between circulations in models that may develop as predicted and those that are false alarms
- Automatically and objectively identify and evaluate TC precursor circulations, and their physical characteristics, in global analysis and model forecast fields
- Summarize and catalogue model performance on a circulation for comparison with future circulations
- Provide web interface for operational assessment of models relevant to TC formation

## Analyzed and forecast quantities:
850 mb relative vorticity
Sea level pressure
Shallow vertical wind shear (500-850 mb)
Deep vertical wind shear (200-850 mb)
1000-200 mb geopotential height thickness
1000-500 mb temperature difference
Vertical motion
Total precipitation
700-400 mb vapor pressure
500-200 mb temperature difference between area within and outside of ellipse/circulation

- 850 mb relative vorticity
- Sea level pressure
- Shallow vertical wind shear (500-850 mb)
- Deep vertical wind shear (200-850 mb)
- 1000-200 mb geopotential height thickness
- 1000-500 mb temperature difference
- Vertical motion
- Total precipitation
- 700-400 mb vapor pressure
- 500-200 mb temperature difference between area within and outside of ellipse/circulation

## An updated baseline for track forecast skill through five days for the Atlantic and Northeastern and Northwestern Pacific basins
Sim Aberson (HRD)
Goals:
Update CLIPER track models
Incorporate recent best track data used to derive the models
Improve calculation of current storm motion

- Sim Aberson (HRD)
- Goals:
- Update CLIPER track models
- Incorporate recent best track data used to derive the models
- Improve calculation of current storm motion

## Quantifying tropical cyclone track forecast uncertainty and improving extended range forecasts using an ensemble of dynamical models
James Goerss (Naval Research Laboratory)
Goals
Apply “CONU” approach to Atlantic and eastern Pacific basins to potentially include GFDN (FNMOC), COAMPS (FNMOC), and MM5 (AFWA) along with GUNA components
Determine optimum mix of models at different lead times
Perform statistical evaluations of consensus forecast errors, stratified by initial quantities known at time of forecast (e.g., spread, number of models available to consensus, and TC initial intensity, forward motion, and location)
Operationally provide tabular and graphical displays of uncertainty in each consensus forecast
Validate uncertainty graphic using cross-validation techniques on 2000-02/3 database on a storm-by-storm basis
Provide statistical evaluation software to be used to update uncertainty database at the end of each season, to incorporate changes to individual models

- James Goerss (Naval Research Laboratory)
- Goals
- Apply “CONU” approach to Atlantic and eastern Pacific basins to potentially include GFDN (FNMOC), COAMPS (FNMOC), and MM5 (AFWA) along with GUNA components
- Determine optimum mix of models at different lead times
- Perform statistical evaluations of consensus forecast errors, stratified by initial quantities known at time of forecast (e.g., spread, number of models available to consensus, and TC initial intensity, forward motion, and location)
- Operationally provide tabular and graphical displays of uncertainty in each consensus forecast
- Validate uncertainty graphic using cross-validation techniques on 2000-02/3 database on a storm-by-storm basis
- Provide statistical evaluation software to be used to update uncertainty database at the end of each season, to incorporate changes to individual models

## Transition of revised dynamical model track prediction evaluation expert system
Mark Boothe (Naval Postgraduate School)
Goals
Create revised DYMES that implements the Atlantic error mechanisms determined with previous funding
Demonstrate operational utility during real-time tests

- Mark Boothe (Naval Postgraduate School)
- Goals
- Create revised DYMES that implements the Atlantic error mechanisms determined with previous funding
- Demonstrate operational utility during real-time tests

## FY03 IndividualProject OverviewsTC Intensity

## Implementation of the Advanced Objective Dvorak Technique (AODT) and the Tropical Cyclone Intensity Estimation (TIE) model algorithms
James Kossin (CIMSS/Univ. of Wisconsin)
Chris Velden (CIMSS/Univ. of Wisconsin)
Goals:
 Implement latest version of AODT in NAWIPS, applicable to all stages of TC, non-McIDAS, can be automated
 Implement rudimentary version of TIE model in NAWIPS: fully objective regression between recon pressure and IR predictors, SST, and latitude of the TC; additional predictors to be added (e.g., synoptic environment, microwave imagery)
 Integrate AODT and TIE into single code package

- James Kossin (CIMSS/Univ. of Wisconsin)
- Chris Velden (CIMSS/Univ. of Wisconsin)
- Goals:
-  Implement latest version of AODT in NAWIPS, applicable to all stages of TC, non-McIDAS, can be automated
-  Implement rudimentary version of TIE model in NAWIPS: fully objective regression between recon pressure and IR predictors, SST, and latitude of the TC; additional predictors to be added (e.g., synoptic environment, microwave imagery)
-  Integrate AODT and TIE into single code package

## Improvements in deterministic and probabilistic tropical cyclone surface wind predictions
John Knaff (CIRA/CSU) With Mark DeMaria (NESDIS/ORA)
Goals:
Develop and evaluate new component to SHIPS model utilizing recon and GOES IR data to better determine inner core structure
Test neural network prediction method in SHIPS to account for nonlinear interactions between predictors
Provide fields of the probability of surface wind speeds exceeding specified thresholds over certain time intervals

- John Knaff (CIRA/CSU) With Mark DeMaria (NESDIS/ORA)
- Goals:
- Develop and evaluate new component to SHIPS model utilizing recon and GOES IR data to better determine inner core structure
- Test neural network prediction method in SHIPS to account for nonlinear interactions between predictors
- Provide fields of the probability of surface wind speeds exceeding specified thresholds over certain time intervals

##   Michelle 11/02/01  00 UTCIntensity Forecast (hr: kt): 0: 55,   24: 75,   48: 90,  72: 95 ,  96: 70,  120: 60

**0-24 hr                                        24-48 hr                           48-72 hr**

**CI=5%                                        CI=2%   **

**72-96 hr                                   96-120 hr                              0-120 hr**

**CI=10%**

**CI=10%                             CI=10%                             CI=5%**

- Experimental Probability of 64 kt Winds

## Development of a rapid intensification index for the eastern Pacific basin
John Kaplan (HRD)  With Mark DeMaria (NOAA/NESDIS/ORA)
Goals
Develop RI index for the eastern Pacific using methodology similar to that for existing Atlantic index
Use 1989-2003 SHIPS database
95th percentile of 24 h over-water intensity changes
Thresholds of significant predictors of RI will be mean values from all RI cases
Output RI probability estimate with each operational eastern Pacific SHIPS forecast
Modify existing code and provide training so that it can be used by TPC to re-derive the eastern Pacific index for future seasons

- John Kaplan (HRD)  With Mark DeMaria (NOAA/NESDIS/ORA)
- Goals
- Develop RI index for the eastern Pacific using methodology similar to that for existing Atlantic index
- Use 1989-2003 SHIPS database
- 95th percentile of 24 h over-water intensity changes
- Thresholds of significant predictors of RI will be mean values from all RI cases
- Output RI probability estimate with each operational eastern Pacific SHIPS forecast
- Modify existing code and provide training so that it can be used by TPC to re-derive the eastern Pacific index for future seasons

## Developing an inner-core SST cooling predictor for use in SHIPS
Joe Cione (HRD)
Chelle Gentemann (Remote Sensing Systems) and John Kaplan (HRD)
Goals
Test algorithm for use in SHIPS that relates the estimated amount of SST cooling directly under the storm to subsequent TC intensity change
Extend algorithm, based on a developmental 23-hurricane sample (1975-2002) of observations (AXBTs, buoys), to weaker systems (by 2005)
To run operationally, predict (rather than observe) inner-core SST cooling using regression with ambient SST and storm location/speed/intensity
Improve upon weekly Reynolds SSTs that provide initialization; higher spatial and temporal resolution
Test additional predictors related to subsurface upper ocean parameters

- Joe Cione (HRD)
- Chelle Gentemann (Remote Sensing Systems) and John Kaplan (HRD)
- Goals
- Test algorithm for use in SHIPS that relates the estimated amount of SST cooling directly under the storm to subsequent TC intensity change
- Extend algorithm, based on a developmental 23-hurricane sample (1975-2002) of observations (AXBTs, buoys), to weaker systems (by 2005)
- To run operationally, predict (rather than observe) inner-core SST cooling using regression with ambient SST and storm location/speed/intensity
- Improve upon weekly Reynolds SSTs that provide initialization; higher spatial and temporal resolution
- Test additional predictors related to subsurface upper ocean parameters

## FY03 IndividualProject OverviewsTC Rainfall

## Improving the validation and prediction of tropical cyclone rainfall
Hua-Lu Pan (EMC), Robert Black (HRD), Tim Marchok (GFDL)
Goals:
Develop new rainfall validation schemes that provide a baseline of comparison for different forecast systems
Provide new forecasting tool, based on the benchmark R-CLIPER, that incorporates information related to vertical shear and storm track, and can be run operationally
Generate error statistics for rainfall forecasts using traditional and new validation techniques for the operational GFDL, Eta, and GFS models, and the R-CLIPER and modified R-CLIPER.

- Hua-Lu Pan (EMC), Robert Black (HRD), Tim Marchok (GFDL)
- Goals:
- Develop new rainfall validation schemes that provide a baseline of comparison for different forecast systems
- Provide new forecasting tool, based on the benchmark R-CLIPER, that incorporates information related to vertical shear and storm track, and can be run operationally
- Generate error statistics for rainfall forecasts using traditional and new validation techniques for the operational GFDL, Eta, and GFS models, and the R-CLIPER and modified R-CLIPER.

## 2003-04 JHT Project Schedule

- Semi-annual reports due 31 January 2004
- Each PI make presentation at IHC in March 2004, possibly meet with TPC/NHC points of contact
- Make preparations for and begin real-time testing and evaluation during 2004 hurricane season
- Renewal proposals from PIs due 15 May 2004
- Second year of funded activity for renewed projects begins July/Aug 2004