RECENT INNOVATIONS IN DERIVING ATMOSPHERIC MOTION VECTORS AT CIMSS Steve Wanzong, Chris Velden, Dave Santek, Jun Li, Erik Olson, Jason Otkin

SSEC/CIMSS Seminar28 June 2006PART 1: AMV CALCULATIONS USING HYPERSPECTRAL SATELLITE RETRIEVALS

Motivation

Track constant-level sequential moisture analyses from hyperspectral soundings.Reduce the height assignment errors.Vertical profiles of winds.Part of GOES-R risk reduction program.

MethodologyEmploy high resolution mesoscale models to generate simulated atmospheres.Calculate Top of Atmosphere (TOA) radiances from the mesoscale model simulations using the GIFTS forward radiative transfer model.Generate single-field-of view water vapor retrievals (vertical profiles) from the TOA radiances.Target and track clear-sky Atmospheric Motion Vectors (AMV) using constant-pressure (altitude) analyses derived from the water vapor retrievals and model mixing ratios.

7th IWW ReviewNoise Filtered Retrievals 2580 targetsNoise Filtered Retrievals 326 vectors500 mb

ATReC Q Loop at 343mbWRFRTRVL

ATReC (cont)Noise Filtered Retrievals 5536 targets407 mbNoise Filtered Retrievals 316 vectors

ATReC (cont)Meters

ATReC (cont)MetersIDV display of the retrieval winds illustrates the data density and vertical distribution.

OceanWinds Q Loop at 729mbWRFRTRVL

OceanWinds (cont)Noise Filtered Retrievals 14414 targetsNoise Filtered Retrievals QI 1912 vectors729 mb

OceanWinds (cont)Meters

OceanWinds (cont)MetersIDV display of the retrieval winds illustrates the data density and vertical distribution.

FULLDISK Case

AIRS Moisture Retrieval Targets and Winds (unedited) at 400 hPaThe moisture features are tracked in an area that is inscribed by 3 successive, overlapping passes in the polar region. See below.Polar Retrievals

CIMSS is involved in the GOES-R risk reduction. Falls under the Winds component of the Algorithm Working Group (AWG) to test algorithm developments for the HES instrument using GIFTS specifications.Current method only provides clear sky upper-tropspheric winds from 3 water vapor channels. 1 imager (6.5), 2 sounder (7.0 and 7.4).Future slides will show the vertical nature of the winds.Weather Research and Forecasting model. WRF. ARW Core. Advanced Research WRF. A fast model takes the output from the wrf model and calculates the TOA radiances. Gifts instrument model which includes optics and detector effects modify the TOA.Statistical retrieval only at this point. Moisture retrievals are used as input to our software.McIDAS is used to create GRID files from the binary output of the retrievals. Then converted to McIDAS AREA files for our code.

Hourly images. Tracked both the WRF and RTRVL image triplets.Clouds are masked as black. Lighter color is higher moisture values.WRF model Q and RTRVL were run through windco. 343mb down to 931. Every 33 or 34mb was processed. AE was not used. QI was. Looking at good flagged winds greater the 3m/s. QI >=50.

931mb to 343mb.Very similar domain as the AtREC case.Part of a larger simulation that will be shown later.Winds have been plotted with spd >= 3m/s. QI >=70. Winds calculated from 683mb to 986mb at 13mb differences.