Introduction to Hurricane WRF

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Transcription:

Introduction to Hurricane WRF Mrinal Biswas National Center for Atmospheric Research Developmental Testbed Center (DTC) Boulder WRF Tutorial January 2015

Outline for Introduction to HWRF What is the Hurricane WRF HWRF domains Overview of components Dynamic core Moving nest Initialization and data assimilation Physics Ocean and coupler Post-processor and tracker User support New in 2015 and future development

What is the Hurricane WRF? A US NWS operational model used to provide numerical forecast guidance of track, intensity, and structure to the National Hurricane Center (NHC) for the North Atlantic and Eastern North Pacific basins A model that can be run for all Northern and Southern Hemisphere basins (coupled only in AL and EP) and that contains an idealized tropical cyclone capability A community supported code A model that is always evolving and improving: new operational implementations of HWRF occur every year in the beginning of the hurricane season This talk focuses on 2014 HWRF (some info on plans for future provided) Operational forecasts http://www.emc.ncep.noaa.gov/gc_wmb/vxt/

HWRF 2014 grid configuration MPIPOM-TC Atlantic domain d02 d03 d01 Atmospheric configuration Horizontal grid spacing: 27, 9, 3 km Inner nests move to follow storm Domain location vary from run to run depending on storm location 61 vertical levels; top at 2 hpa Oceanic configuration Horizontal grid spacing: 1/12 deg ( ~9km) Location of grid depends of location of storm Atlantic and Pacific 3-D model 23 vertical levels

HWRF has many components

HWRF dynamical core WRF has two dynamic cores: ARW and NMM (Non-Hydrostatic Mesoscale Model) The dynamic core encompasses the grid projection, grid staggering, system of equations for solving the equations of motion and thermodynamics, the numerical methods, and the nesting mechanisms This Tutorial only covered the ARW core. For NMM core, refer to WRF-NMM website: http://www.dtcenter.org/wrf-nmm/users/ Presentation about WRF-NMM in 2012 WRF tutorial http://www.mmm.ucar.edu/wrf/users/tutorial/201201/ NMM_Dynamics_jan2012_tut_cnvsym.pptx.pdf Scientific Documentation for the NMM Solver http://opensky.library.ucar.edu/collections/tech-note-000-000-000-845 Courtesy: Z. Janjic NOAA/NCEP/EMC

HWRF Moving Nests

Inner nest follows the vortex Why nests: need high-resolution to resolve convection in hurricane but cannot afford it everywhere in domain 27-km parent domain does not move during a run 9-km domain moves following the 3-km domain, which follows storm center A vortex tracking algorithm is used to track the center of the storm and automatically move the nest The storm center is determined based on surface p, winds and 850/700 hpa geopotential/winds Straight forward for well-defined vortices Challenge: following disorganized TS and mesovortices, so tracking algorithm is sophisticated Montgomery et al.(2006), BAMS Chantal, 7/8/2013

HWRF 2014 Initialization Challenges Initializing a 3-km grid from a lower-resolution global model Storm has wrong place, size and/or structure Weak storm may dissipate in hurricane model Solutions Use a vortex relocation and correction algorithm Use current global GFS for first guess for parent domain and 6-hr GDAS forecast from previous cycle for nests Remove vortex from GDAS forecasts Insert a corrected vortex Usually 6-h forecast from HWRF previous cycle Vortex location, intensity, and structure corrected using observations

GSI 3D-Var/Hybrid Ensemble 1 T -1 1 T J 3DVAR (xʹ )= (xʹ ) Bf (xʹ )+ (Hxʹ - yʹ ) R -1 (Hxʹ - yʹ ) 2 2 Fit to background Fit to observations b x : Analysis increment ; where β T 1(xa x1b ) β 1 T x 1 is a background (xʹ ) Bens (xʹ )+ (Hxʹ - yʹ )T R 1 (Hxʹ - yʹ ) J hybrid (xʹ )= (xʹ ) B f (xʹ ) + Bf : (Fixed) Background error covariance (estimated 2 2 2 offline) H : Observations (forward) operator Bf : (Fixed) background-error covariance (estimated offline) R : Observation error covariance (Instrument + representativeness) Bens : (Flow-dependent) background-error covariance (estimated from, where yo are the observations ensemble) β: Weighting factor (0.25 means total B is ¾ ensemble). Cost function (J) is minimized to find solution, x [xa=xb+x ] (Courtesy from Jeff Whitaker, GSI Tutorial, 2012)

Background Why hybrid assimilation is beneficial 3DVAR hybrid Hurricane IKE 2008 WRF ARW: x=5km 700 mb wind 700 mb wind Observations: radial velocity from two WSR88D radars d (KHGX, KLCH) WRFVAR hybrid DA system (Wang et al. 2008ab, MWR) 850 mb temp 850 mb temp Li et al., 2012, MWR Courtesy: Xuguang Wang, HFIP Telecon 4

HWRF 2014 operational physics Physics Parameterization Option Cumulus (only d01 & d02) SAS deep and shallow convection 84 Microphysics Ferrier for the tropics 85 Planetary Boundary Layer GFS (modified Hong & Pan 1996) 3 Surface Layer GFDL (modified) 88 Land Surface Model GFDL slab model 88 Radiation GFDL 98 Cumulus parameterization: only on d01 (27 km) and d02 (9 km). In d03 (3 km), microphysical parameterization explicitly resolves clouds.

HWRF Ocean Component Message Passing Interface Princeton Ocean Model for Tropical Cyclones (MPIPOM-TC) MPIPOM-TC creates an accurate sea-surface-temperature (SST) field that evolves during the model run Moisture/heat fluxes from the ocean provide energy for hurricanes Rita Katrina, 2005 Warmer ocean leads to more intense storms 75-m depth temperature Courtesy R.Yablonsky (URI)

NCEP coupler handles communication between WRF and POM-TC Wind speed (U a ) Temperature (T a ) Humidity (q a ) Momentum flux (τ) Temperature flux Shortwave radiation Hurricane Model Air-Sea Interface Ocean Model Momentum flux (τ) Sensible heat flux (Q H ) Latent heat flux (Q E ) SST (T s ) τ = ρ C U U Q C U ( T T ) a D a a H V = QE = CEU ( qa qs ) a H a a s L C P

HWRF Post-Processing Uses the Unified post-processor (UPP) Computes derived variables Interpolates the forecast Horizontally from the WRF native grid to a lat-lon grid Vertically from WRF native levels to isobaric levels Generates output in GRIB format Domains processed separately, then combined Output is used for Graphics Running the external vortex tracker

Surface or isobaric fields

GFDL External Vortex Tracker Extracts storm properties from the 3D forecast fields Location, intensity, structure Outputs text file which can be used for plotting Can be used for HWRF or any other model, as long as proper files are provided in GRIB1 format Sandy 2012: Sample of Community HWRF runs by DTC

Challenges and ongoing work for 2015 and beyond Increased resolution: Going to 18/6/2 km, use of T1534 GFS Global application: Coupling of MPIPOM-TC for all ocean basins Ocean: HYCOM Ensemble: Data assimilation to include 40 member HWRF ensemble for inner-core DA Physics: radiation (RRTMG), PBL, NOAH LSM, MP (Ferrier-Aligo), convection, sea spray Coupling: wave model, storm surge, inundation Configuration: larger grids with multiple moving nests

www.dtcenter.org/hurrwrf/users Community support Code downloads, datasets, documentation, online tutorial, helpdesk 800 registered users Yearly releases corresponding to operational model of the year Stable, tested code Current release: HWRF v3.6a (2014 operational)

HWRF: A collaborative effort HWRF is developed under the coordination of NOAA/NWS/NCEP/EMC Besides EMC, many groups participate in HWRF development Many receive funding from NOAA Hurricane Forecast Improvement Project Institution Role NOAA NWS Natl Hurricane Center Main customer, evaluation, diagnostics NOAA NWS/NCEP/EMC Coordination and overall development NOAA Research AOML/ESRL/GFDL Nesting, physics, initialization, vortex tracking, diagnostics NCAR WRF model infrastructure University of Rhode Island Ocean component (POM-TC) Developmental Testbed Center Code management, community support, testing Your institution! You could be the next HWRF user and developer

www.dtcenter.org DTC (NOAA, Air Force, NSF, & NCAR) The purpose of the DTC is to facilitate the interaction & transition of NWP technology between research & operations. DTC facilitates: R2O transition by performing testing & evaluation of new NWP innovations over an extended period and moving them for possible operational implmentation O2R transition by making the operational NWP systems available to the research community & providing user support (WRF, HWRF etc.) Interaction between research & operations through the organization of community workshops on NWP & hosting DTC Visitor Program

Thank you! Questions? http://www.dtcenter.org/hurrwrf/users biswas@ucar.edu wrfhelp@ucar.edu Dennis, 7/10/2005