Frank Marks NOAA/AOML/Hurricane Research Division 11 February 2011 Frank Marks NOAA/AOML/Hurricane Research Division 11 February 2011 Hurricane Research.

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Presentation transcript:

Frank Marks NOAA/AOML/Hurricane Research Division 11 February 2011 Frank Marks NOAA/AOML/Hurricane Research Division 11 February 2011 Hurricane Research from the ISS

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 2 Goals Improve Forecast Accuracy Hurricane impact areas (track) – 50% in 10 years Severity (intensity) – 50% in 10 years Storm surge impact locations and severity Extend forecast reliability out to 7 days Quantify, bound and reduce forecast uncertainty to enable risk management decisions

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 3 Statistical-dynamical models (SHIPS, LGEM, & RI-index) are skillful sources of intensity guidance primarily from global models Current Capabilities: Statistical-dynamical models SHIPS & LGEM contain ~55- 60% of the variance in intensity change, RI-Index ~30% of RI variance, primarily from large-scale in GFS. Until regional models improve there is value in improving statistical- dynamical approaches.

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 4 HFIP Activities Traditional Hurricane Research Activities: Observations, analysis, database, & instrument R&D (IFEX)IFEX Statistical-dynamical model development Advances in operational models (Stream 1)Stream 1 New HFIP Research Thrusts: Experimental global and regional hurricane model development (Stream 2) Data assimilation techniques and observing system strategy analysis development (Stream 1 & 2) Model evaluation tool development Socioeconomic research and development Partnership: NCEP, AOC, AOML, ESRL, GFDL, DTC, USWRP, NESDIS/STAR D1 D2

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 5 Current Capabilities Global Model – Ensembles Courtesy of Tom Hamill & Jeff Whitaker (ESRL) Tomas (21L) – init 00Z 2 November GFS

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 6 Courtesy of Tom Hamill & Jeff Whitaker (ESRL) Current Capabilities Global Model – Ensembles

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 7 Courtesy of Stan Benjamin & Mike Fiorino (ESRL) Shary Tomas Current Capabilities Global Model – Ensembles

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 8 Courtesy of Stan Benjamin & Mike Fiorino (ESRL) Current Capabilities Global Model – Ensembles

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 9 Courtesy of Tom Hamill & Jeff Whitaker (ESRL) Tomas (21L) – init 00Z 2 November GFS Current Capabilities Global Model – Ensembles

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 10 Track Issues Sensitivity to environmental circulation beyond TC envelope Environment wind and thermodynamic structure through targeted observations (dropsondes) and satellite radiances. Issues include: poor data coverage in important areas, inability to cover necessary targets temporal and spatial resolution (24 h, horizontal >100 km, integrated or limited vertical resolution)

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 11 Intensity Issues Sensitive to environmental circulation beyond TC envelope (shear, eddy flux, etc.) Sensitive to boundary conditions, interactions, and changes along track Sensitive to inner core dynamics Sampling limited by presence of heavy rain, clouds, strong winds. Issues include: poor data coverage in important areas, temporal & spatial resolution (3-6 h, 5-10 km horizontal, 1 km vertical)

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 12 ISS Inclination: 51.6° Altitude: 350 km Revolutions/Day: 15.7 Good coverage of global tropics and TC basins (15-16 orbits/day)

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 13 How can ISS DWL help? Track: provide regularly spaced data coverage in important areas surrounding TC for data assimilation into numerical models. Need temporal resolution at least 24 h, horizontal resolution of 250 km, and vertical resolution of 1 km. Accuracy to better than 1 m s -1 for mean wind surrounding TC - 1 m s -1 error in mean wind yields 86.4 km track error in 24 h.

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 14 How can ISS DWL help? Intensity (beyond those above): improved vertical structure of environment surrounding and above core, particularly near the tropopause for use in determining shear, divergence, and eddy flux. higher temporal resolution 12 h, horizontal resolution 25 km, vertical resolution <1 km. Accuracy to 1 m s -1 for vertical shear in vicinity of TC - large differences in storm intensity change for small changes in vertical shear.

National Hurricane Forecast Improvement Project Meeting the Nation’s Needs 15 Summary ISS DWL can have great impact on TC forecasts and research through improved horizontal and vertical wind structure in environment immediately surrounding storm. DWL does not need to provide data in core for major impact. Major advantages: better temporal & spatial wind coverage surrounding TC than currently possible with targeted obs and satellite radiances. higher vertical resolution especially useful near top and bottom of environment improved accuracy of wind estimates

Questions?