Overview: RAMMB Tropical Cyclone (TC) Research and Applications Presented by John Knaff.

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Presentation transcript:

Overview: RAMMB Tropical Cyclone (TC) Research and Applications Presented by John Knaff

What We Do Research Operational Products (R2O) Satellite Risk Reduction Applied Science, Climatology, & Application Development and Validation 14 April 2015CIRA Models & Observations Retreat2

Example Sponsored Projects (5-years) GOES- R Risk Reduction/ Algorithm Working Group (GOES- R3/AWG) GOES I/M Product Assurance Plan (GIMPAP) Joint Hurricane Testbed (JHT) Product System Development and. Implementation (PSDI) Navy’s National Oceanographic Partnership Program (NOPP) NOAA’s Hurricane Forecast Improvement Project (HFIP) 14 April 20153CIRA Models & Observations Retreat Our Research Portfolio Needs Diversification

Unique Attributes, Knowledge and Skills Historical satellite/TC data sets Working relationships with operational TC centers and their support personnel Experience with operational transition of techniques and algorithms Research strengths include statistical model/technique development (intensity, structure, genesis), post processing of NWP output, and TC diagnostics 14 April 2015CIRA Models & Observations Retreat4

Potential/New Synergies TC rainfall (NOAA, NASA, NSF) –Tools to estimate amounts and uncertainty –Exploration of relationships (latent heating) to future/rapid intensity change Health, infrastructure and social impacts of TCs (NSF, NOAA, NIH, NIST) TC inter-annual and climate variability (NOAA, NSF) Retrievals techniques for DA, specifically wind and temperature retrievals for vortex initialization (NOAA, DOD) Cloud-top and above cloud-top variability (microphysics, temperature, circulation) (NASA, DOE, NSF) 14 April 2015CIRA Models & Observations Retreat5 These Would Diversify Our Research Portfolio

Headwinds DATA (formats, storage, organization, etc.) Our TC work is somewhat pigeon-holed to be applied and NOAA forecaster centric work Science/discovery is often secondary to application, technique development Current funding –Too small/project –Competition for CI funds –Directed, milestone/goal orientated, rather than discovery orientated –No OAR, NASA, or NSF funding of our group (we could do the work) NWP and Radiative Transfer expertise/experience is thin The status quo, personnel, and momentum make it difficult to evolve our focus Feds cannot be PIs RAMMB is short two FTE personnel including the branch chief. 14 April 2015CIRA Models & Observations Retreat6

Data Headwinds What we have (short list) TC information (ATCF, ASCII) GFS analyses/Reanalysis (Pack) GFS forecasts (grib2) HWRF forecasts (grib2) Ocean Heat Content (ascii, grads) Dropwindsondes (ascii) MIRS retrievals (HDF) Cosmic Retrievals (netCDF) WV global (MCIDAS) TPW global (HDF eos, ASCII) TC-centered IR, Rainfall, 89GHz (MCIDAS) SST (binary, ASCII) AMSU TC analyses (ASCII) Lightning data (streaming ASCII) VIIRSS TC granules (HDF) CloudSat TC database TC diagnostics (ASCII) TC SHIPS/LGEM databases (ASCII) Extended Best track (ASCII) Issues Inventory nightmare Multiple/ inconsistent methods to read various formats (python, idl, fortran77/90, wgrib2/1, shell scripts) Tools to read different/new formats Tools to combine/display data Multiple copies of data No formal repository for code/data Each new data source is treated separately GOES archive/VIIRS archive links change NSF mounts NAS devices rather than central storage Data read/use efforts are reactionary and uncoordinated 14 April 2015CIRA Models & Observations Retreat7