1. The Far-Infrared Frontier of Terrestrial Remote Sensing GPS Planetary Science Seminar October 16, 2007 Daniel Feldman, Yuk Yung (Caltech) Kuo-Nan Liou (UCLA) Marty Mlynczak, Dave Johnson (LaRC)

2. Presentation Outline Motivation for studying the far-infrared FIRST instrument description Mid-IR vs Far-IR capabilities – Clear-sky – Cloudy-sky Lessons learned from collocated test flights Multi-instrument analysis of clouds  Outline

3. Atmospheric Energy Balance Earth Radiation Budget Cartoon From Liou, 2002  Motivation

4. The far infrared frontier Current spectrometers don’t measure 15-100 μm (650 – 100 cm -1 ) FIR, through H 2 O rotational band, contributes substantially to OLR, tropospheric cooling rates Far-IR processes inferred from other spectral regions Mid-IR passive spectroscopy Microwave active and passive sounding Vis/NIR lidar Figure from Mlynczak et al, SPIE, 2002  Motivation No spectral measurements beyond line

5. Clouds and the far-infrared In tropics, cirrus causes increased tropospheric radiative heating in mid-IR & increased cooling in far-IR In sub-arctic winter, cirrus leads to less mid-IR heating, enhanced IR cooling Interaction between UT H 2 O and cirrus clouds requires knowledge of both Currently inferred from measurements in other spectral regions Figure adapted from Stackhouse & Stephens, 1991  Motivation

6. CLARREO Mission NRC Decadal Survey recommended CLARREO for radiance calibration, climate monitoring CLARREO specified to cover 200 – 2000 cm -1 with < 2 cm -1 resolution NIST traceability requirement Prototyped far-IR instruments provide a science and engineering test-bed for next generation of satellite instruments Figure adapted from Anderson presentation, 2007  Motivation

7. Remote sensing of far-infrared: a frontier in spectroscopy FIRST = Far Infrared Spectroscopy of the Troposphere Developed at NASA LaRC, Marty Mlynczak PI, NASA IIP project FTS w/ 0.6 cm-1 unapodized resolution, ±0.8 cm scan length Multilayer beamsplitter – Germanium – Polypropylene – Optically inactive over broad spectral ranges in far-infrared 5-200 μm (50 – 2000 cm -1 ) spectral range NeDT ~ 0.2 K 10 km IFOV, 10 multiplexed detectors LN 2 or liquid helium cooled Scan time: 1.4-8.5 sec  FIRST instrument

8. Prototype Configuration and Test Flights Pictures from http://stratocat.com.ar/fichas-e/2005/FSU-20050607.htm  FIRST instrument

9. AIRS and FIRST T, H 2 O, O 3 clear-sky retrievals Standard retrievals using a linear Bayesian update for clear-sky cases Mid- and Far-IR profile retrievals T profiles comparable FIRST has superior H 2 O profile performance in upper troposphere Normalized averaging kernels quickly reveal relative retrieval power  Mid-IR vs. Far-IR: clear

10. Spectra and residuals Much of the initial residual structure removed during retrieval T surf not retrieved here Retrieval using FIRST vs AIRS shows structure at low wavenumbers and larger residuals in H 2 O v 3 band Upper troposphere H 2 O retrieval power difference revealed  Mid-IR vs. Far-IR: clear

11. Cooling Rate Information Information from the spectrometers can impart understanding of cooling rate profiles (Feldman et al, 2007). Far-IR measurements provide marginal improvement of upper-troposphere clear-sky cooling rates Comparable performance for tropical, sub-arctic winter atmospheres  Mid-IR vs. Far-IR: clear

12. Ice cloud absorption, extinction, asymmetry factors can be reasonably parameterized with: Cloud-water content profiles Cloud effective radius profiles AIRS spectra utilize 8-12 µm window band and 6.3 µm H 2 O band for cloud and H 2 O profile retrieval Degree to which cirrus cloud properties can be retrieved with H 2 O profiles is active area of research  Mid-IR vs. Far-IR: cloud Cloud & H2O signatures

13. Suite of A-Train measurements Polar-orbiting sun-synchronous constellation of satellites with diverse instrumentation Aqua AIRS (mid-IR passive spectrometer for sounding) AMSU (Passive microwave sounder) MODIS (vis/near-IR imaging spectroradiometer) CloudSat (94 GHz cloud pulse radar) CALIPSO (2-channel vis/near-IR lidar)  Multi-instrument analysis

14. Ft. Sumner, NM; stratiform clouds; Aqua, Cloudsat/CALIPSO overpass Test Flight 2 AQUA MODIS L1B RGB Image  Test flights

15. FIRST and AIRS Cloud Signatures Instrument collocation FIRST balloon-borne spectra AIRS MODIS Residuals are consistent with clouds ~ 5 km, D e ~ 60 μm  Test flights

16. Active sounders  Multi-instrument analysis CloudSat and CALIPSO near collocation No signal from CloudSat CALIPSO signal consistent with FIRST residual

17. Conclusions FIRST provides a comprehensive description of the far-infrared which is relevant to CLARREO development FIRST clear-sky retrievals vs. AIRS – Improved H 2 O retrieval relative to AIRS Relies on low instrument FIR NeDT – Implied cooling rate information difference is negligible. FIR instrumentation can impart significant info on cloud radiative effect Multi-instrument analysis is powerful for understanding FIRST test flight spectra In the future: Orbital simulation environment testing is necessary to compare the relative abilities of mid- and far-IR under different, realistic conditions FIRST radiance calibration is required to gain quantitative information out of test flights about H 2 O lines and cloud cover.

18. Acknowledgements NASA ESSF Program Jack Margolis and the YLY IR Radiation Team at Caltech Tom Pagano, Duane Waliser, Eric Fetzer and Alex Ruzmaikan of JPL Tony Clough and the RT Team at AER, Inc. The CloudSat and CALIPSO product support teams