GeoTASO Project Summary and Relevance. Jim Leitch Ball Aerospace

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GeoTASO Project Summary and Relevance Jim Leitch Ball Aerospace jleitch@ball.com 303-939-5280 4/23/2013

Sensor Concept Overview Airborne nadir-viewing wide-swath imaging spectrometer Two channel spectrometer uses: 1 st order diffraction for Visible 2 nd order diffraction for UV Dichroic beamsplitter and spectral filtering key elements in multi-order design Polarization: Low polarization sensitivity telescope and electronic depolarizer for spectrometer Field-swappable spectrometer slits to change spectral passband and sampling Page 2

NASA ESTO funded project close to completed: Demonstrated multi-order spectrometer for air quality measurements Fielded reconfigurable airborne system and collect real scene data Used data to test air quality retrieval algorithms Airborne system GeoTASO Status Sensor, data collection/control system, zenith fiber port, and nadir port window form system Configured to fly on NASA s Falcon HU-25C airplane Mount/window can be adapted for other platforms Flight data Have data from flight tests in Virginia and flight campaign in Houston (w/discover-aq) Data (including viewing/solar information) available in HDF5 format Have data for a variety of scenes, different altitudes, different slit sizes, different times of day Calibration data Measurements mainly from testing at Goddard Calibration includes radiometric, polarization Working with algorithm team to improve Level 1b data

Key Optical Components Developed 3 panels Offner spectrometer grating: Offner form of spectrometer ideal for spectral imaging, but needs convex, blazed grating Second attempt grating meets requirements: High efficiency peaked at 310 nm Low scatter/ghosting Spectral filtering: Needs good rejection of unwanted wavelengths 100 Dichroic Depolarizer/Changeable slit assy: Electronic depolarizer from PolZero ACT project Precision-registered slit holder for field slit swaps %T 80 60 40 20 measured theoretical 0 300 400 500 600 700 800 900 Wavelength (nm) Page 4

Sensor Design and Assembly Optical Bench Thermal Enclosure and Frame Aircraft Mount Langley s Falcon HU-25C GeoTASO on the Falcon Parameter Max altitude Swath Ground spot Ground sampling Value 12 km 9 km 40 x 80 m 10 x 50 m Single pixel SNR 20 50 Page 5

Flight Campaign Overview OMI underflight DISCOVER-AQ coflights: diff passbands Transit back: urban areas, NC power plants GeoCAPE coflight: ocean color 32 total flight hours of data Transit out: urban areas, GA power plants Test flights July test flights over VA and Chesapeake Bay Land/water and urban/rural sites Overflight of Langley ground site Duplicated ACAM test flight path September Houston campaign: Coflights with B200 (ACAM and HSRL) over urban sites Coflight with B200 over Gulf out to GeoCAPE boat Different slit widths on different days Tested depolarizer effect over land/water Page 6

Flight Data and Retrieval Highlights GeoTASO flew over the Gulf out to the Geo-CAPE ocean study boat (seen in the GeoTASO image). A proposal from OSU to analyze the data has been submitted. (courtesy Curt Davis, Oregon State) NO 2 slant columns measured over North Carolina s three largest coal power plants on 24 September 2013 at ~500 500 m resolution during flight home from Houston to NASA Langley. (courtesy Caroline Nowlan, SAO) NO 2 slant columns measured over Houston on 24 September 2013 at ~500 500 m resolution. GeoTASO flew the same ground tracks as the DISCOVER-AQ team to enable direct comparisons. (courtesy Caroline Nowlan, SAO) Closeup of the Roxboro Steam Plant NO2 plume. GeoTASO measured enhanced NO2 >40 km downwind of the plant.(courtesy Caroline Nowlan, SAO) Surface reflectance studies tie radiance levels to features like trees (blue) and green grass (yellowgreen) to develop a spectral reflectance model. (courtesy Jun Wang, U Nebraska) Page 7

Initial Spectral Signal Measurements Nadir view radiance (over forest) Predicted signal Measured spectral signal close to predictions Page 8

Algorithm Overview Aerosols and surface reflectance Specific bands of interest identified and flight data examined Comparison of model-predicted radiance and measured radiance shows need for absolute radiance calibration of the visible channel Trace gas pollutants: NO 2 retrievals using flight and zenith sky data from 420nm to 460nm show high sensitivity HCHO retrievals using 330-360 nm show need for better fixed pattern calibration/characterization of UV channel Instrument characterization Line shape Wavelength calibration 5/13/2014 Page 9

Calibration and data processing at Ball Characterize UV stray light Use Ball calibration sphere for full field radiometric calibration Reprocess flight data with new calibration values Lineshape scans using tunable laser (funds permitting) Flight planning and campaigns Flying July 23 Aug? on Falcon in Front Range area of Colorado with DISCOVER-AQ and FRAPPE campaigns (59 hrs flight time funded) 1. Coincident D-AQ tracks overflying B-200 with ACAM for data validation 2. Diurnal studies flying D-AQ flight tracks with two sorties per day for morning-midday-afternoon-evening comparisons 3. GEO-CAPE atmosphere retrieval studies: low pass and high pass over same site to validate ground return subtraction from retrievals. Perform over different terrain types - plains, vegetated forest, urban, foothills. 4. Raster scans over Denver for AQ map. Upcoming GeoTASO Activities 5/13/2014 Page 10