Further Exploring the Potential for Assimilation of Unmanned Aircraft Observations to Benefit Hurricane Analyses and Forecasts Jason Sippel - NCEP EMC.

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Presentation transcript:

Further Exploring the Potential for Assimilation of Unmanned Aircraft Observations to Benefit Hurricane Analyses and Forecasts Jason Sippel - NCEP EMC / IMSG (work completed at NASA GSFC) Fuqing Zhang, Yonghui Weng – Penn State Scott Braun – NASA GSFC Dan Cecil – NASA MSFC

NASA unmanned GH recently used in GRIP and HS3 experiments GH presents unique opportunities for hurricane reconnaissance due to its extreme endurance Data from GH might be useful for improving hurricane forecasts Background: NASA’s Global Hawk Global Hawk 2

Airborne Vertical Atmospheric Profiling System (AVAPS) Measurements: Up to 89 dropsondes measuring temperature, pressure, wind, and humidity. Instruments of “interest” Background: NASA’s Global Hawk Hurricane Imaging Radiometer (HIRAD) Measurements: Microwave retrieval of wind speed and rain-rate retrievals over 60- km wide swaths High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) Measurements: Doppler velocity and reflectivity Caveat: this combination has not been used on a single GH mission, so proxies have to be used 3

WRF-EnKF from Zhang et al. (2009) with covariance relaxation WRF-ARW V3.1.1, 27/9/3 km 30-member ensemble, IC/BCs from WRF-VAR + GFS Focus on RI in Bay of Campeche 9/16-9/ Model domains Previous work – EnKF assimilation of HIWRAP data in Hurricane Karl 4

WRF-EnKF system used to assimilate HIWRAP Vr and VWP observations All experiments demonstrate forecast improvement upon NODA Mean error from VWP experiments is slightly lower than that from VR experiments VWP experiments have more forecast consistency Observed maximum winds compared with a deterministic forecast without DA and EnKF- initialized forecasts Previous work – EnKF assimilation of HIWRAP data in Hurricane Karl 5

Observations of Karl Assimilate data from: GH-based HIWRAP (VWP product) NOAA/NASA/USAF dropsondes (proxy for GH-based sondes) WB-57-based HIRAD wind speed retrievals (proxy for GH-based data) 6

Observations of Karl Challenges with real data: HIRAD data from Karl has issues, so significant manual QC was required (HIWRAP had issues as well) Only speeds from half of HIRAD swath are used – the other half is likely unretrievable Speeds <15 m/s unreliable Fortunately, new HIRAD data is much, much better Retrieved wind speeds Thinned SOs, leg 2 7

EnKF analyses: Intensity metrics Quicker spinup of analysis winds with multiple sources Best results when all three sources assimilated 8

EnKF analyses: Size metrics Quicker spinup of analysis winds with multiple data sources Best results when all three sources assimilated 9

EnKF-initialized deterministic forecasts 10

EnKF-initialized deterministic forecasts VWP+HIRAD doesn’t change forecast much Adding drops improves forecast track Forecasts of SLP from VWP+HIRAD+d rops are best, but forecast max winds are slightly biased VWP+HIRAD+drops produces most consistent forecasts 11

Looking ahead… Conduct ARW & HWRF experiments from Hurricane Gonzalo (2014) when HIWRAP/HIRAD data become available NOAA to use GH for 2015 hurricane season – operational dropsonde assimilation should improve forecasts Enhanced TCVITALS assimilation techniques could further improve forecasts HWRF intensity error with and without GH dropsonde assimilation (2014) HWRF track error with and without GH dropsonde assimilation (2014) 12

NASA has used the Global Hawk for hurricane observations, and NOAA will in the future Recent ARW-based experiments showed that assimilating GH-based HIWRAP data can improve hurricane analyses and forecasts Assimilating data from other GH platforms further improves analyses and forecasts Future tests will use data from Hurricane Gonzalo (2014) in ARW and HWRF systems with enhanced initialization techniques Summary 13