1. TES on EOS-Aura Satellite Denis Tremblay Raytheon Information Solutions Susan Sund Kulawik, Simon Hook, Dave Rider Jet Propulsion Laboratory TES Validation.

Slides:



Advertisements
Similar presentations
TAFTS: Comparing Uncertainties in Atmospheric Profiles with the Water Vapour Continuum Ralph Beeby, Paul Green, Juliet Pickering, John Harries.
Advertisements

TAFTS: CAVIAR field data from Camborne 2008 Ralph Beeby, Paul Green, Juliet Pickering, John Harries.
Using a Radiative Transfer Model in Conjunction with UV-MFRSR Irradiance Data for Studying Aerosols in El Paso-Juarez Airshed by Richard Medina Calderón.
METO621 Lesson 18. Thermal Emission in the Atmosphere – Treatment of clouds Scattering by cloud particles is usually ignored in the longwave spectrum.
Passive Measurements of Rain Rate in Hurricanes Ruba A.Amarin CFRSL December 10, 2005.
A U R A Satellite Mission T E S
15% 1. ABSTRACT We show results from joint TES-OMI retrievals for May, We combine TES and OMI data by linear updates from the spectral residuals.
Validation of Tropospheric Emission Spectrometer (TES) nadir stare ozone profiles using ozonesonde measurements during Arctic Research on the Composition.
The Averaging Kernel of CO2 Column Measurements by the Orbiting Carbon Observatory (OCO), Its Use in Inverse Modeling, and Comparisons to AIRS, SCIAMACHY,
Initial testing of longwave parameterizations for broken water cloud fields - accounting for transmission Ezra E. Takara and Robert G. Ellingson Department.
On average TES exhibits a small positive bias in the middle and lower troposphere of less than 15% and a larger negative bias of up to 30% in the upper.
A 21 F A 21 F Parameterization of Aerosol and Cirrus Cloud Effects on Reflected Sunlight Spectra Measured From Space: Application of the.
Xin Kong, Lizzie Noyes, Gary Corlett, John Remedios, Simon Good and David Llewellyn-Jones Earth Observation Science, Space Research Centre, University.
Page 1 1 of 20, EGU General Assembly, Apr 21, 2009 Vijay Natraj (Caltech), Hartmut Bösch (University of Leicester), Rob Spurr (RT Solutions), Yuk Yung.
METO 621 Lesson 27. Albedo 200 – 400 nm Solar Backscatter Ultraviolet (SBUV) The previous slide shows the albedo of the earth viewed from the nadir.
Cross Validation of Thermal Infrared Remotely Sensed Data In-Flight Using Automated Validation Sites © 2010 California Institute of Technology. Government.
Geostationary Imaging Fourier Transform Spectrometer An Update of the GIFTS Program Geostationary Imaging Fourier Transform Spectrometer An Update of the.
Spaceborne Weather Radar
LST Validation and Analysis Simon J. Hook et al.
4-d Digital Camera: Horizontal: Horizontal: Large area format Focal Plane detector Arrays Vertical: Vertical: Fourier Transform Spectrometer Time: Time:
Diagnosing Climate Change from Satellite Sounding Measurements – From Filter Radiometers to Spectrometers William L. Smith Sr 1,2., Elisabeth Weisz 1,
Z. P. Szewczyk GIST 25, Oct Recent Field Campaigns with CERES Instruments Z. Peter Szewczyk Kory J. Priestley Lou Smith Remote Sensing of Clouds.
Infrared Interferometers and Microwave Radiometers Dr. David D. Turner Space Science and Engineering Center University of Wisconsin - Madison
Intercomparisons of AIRS and NAST retrievals with Dropsondes During P- TOST (Pacific Thorpex Observational System Test) NASA ER-2 NOAA G-IV Dropsonde.
GIFTS - The Precursor Geostationary Satellite Component of a Future Earth Observing System GIFTS - The Precursor Geostationary Satellite Component of a.
Hank Revercomb, David C. Tobin, Robert O. Knuteson, Fred A. Best, Daniel D. LaPorte, Steven Dutcher, Scott D. Ellington, Mark W.Werner, Ralph G. Dedecker,
Evaluation of the WVSS-II Sensor Using Co-located In-situ and Remotely Sensed Observations Sarah Bedka, Ralph Petersen, Wayne Feltz, and Erik Olson CIMSS.
Retrieval of Ozone Profiles from GOME (and SCIAMACHY, and OMI, and GOME2 ) Roeland van Oss Ronald van der A and Johan de Haan, Robert Voors, Robert Spurr.
COST 723 Training School - Cargese October 2005 OBS 3 Radiative transfer for thermal radiation. Instruments Bruno Carli.
University of Wisconsin - Madison Space Science and Engineering Center (SSEC) High Spectral Resolution IR Observing & Instruments Hank Revercomb (Part.
USE OF AIRS/AMSU DATA FOR WEATHER AND CLIMATE RESEARCH Joel Susskind University of Maryland May 12, 2005.
Water Vapour & Cloud from Satellite and the Earth's Radiation Balance
Combining Simultaneously Measured UV and IR Radiances from OMI and TES to Improve Tropospheric Ozone Profile Retrievals Dejian Fu 1, John Worden 1, Susan.
Jinlong Li 1, Jun Li 1, Christopher C. Schmidt 1, Timothy J. Schmit 2, and W. Paul Menzel 2 1 Cooperative Institute for Meteorological Satellite Studies.
Spectroscopic Study of Atmospheric Trace Gases Using PARIS-IR from Waterloo Atmospheric Observatory in 2005 and 2006 Dejian Fu, Kaley Walker, Keeyoon Sung,
A Method for Correcting for Telescope Spectral Transmission in the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) John D. Elwell, Deron.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Studying.
Kinetic Temperature Retrievals from MGS TES Bolometer Measurements: Current Status and Future Plans A.A. Kutepov, A.G. Feofilov, L.Rezac July 28, 2009,
Radiative transfer in the thermal infrared and the surface source term
Daily observation of dust aerosols infrared optical depth and altitude from IASI and AIRS and comparison with other satellite instruments Christoforos.
H. Worden Jet Propulsion Laboratory, California Institute of Technology J. LoganHarvard University TES ozone profiles compared to ozonesondes ABSTRACT:
H. Worden, ASSFTS 11 October , 2003 Characterization of Aura-TES (Tropospheric Emission Spectrometer) Nadir and Limb Retrievals Helen Worden, Reinhard.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Requirement: Provide information to air quality decision makers and improve.
GOES-12 (Channel Radiometer) Channels are typically independent of each other Need to know each channel’s – Spectral response function – Noise characteristics.
The Orbiting Carbon Observatory (OCO) Mission: Retrieval Characterisation and Error Analysis H. Bösch 1, B. Connor 2, B. Sen 1, G. C. Toon 1 1 Jet Propulsion.
RADIANT SURFACE TEMPERATURE OF A DECIDUOUS FOREST – THE EFFECTIVENESS OF SATELLITE MEASUREMENT AND TOWER-BASED VALIDATION.
AEROCOM AODs are systematically smaller than MODIS, with slightly larger/smaller differences in winter/summer. Aerosol optical properties are difficult.
Three-year analysis of S-HIS dual-regression retrievals using co-located AVAPS and CPL Measurements D. H. DeSlover, H. E. Revercomb, J. K. Taylor, F. Best,
Convective Transport of Carbon Monoxide: An intercomparison of remote sensing observations and cloud-modeling simulations 1. Introduction The pollution.
PRELIMINARY VALIDATION OF IAPP MOISTURE RETRIEVALS USING DOE ARM MEASUREMENTS Wayne Feltz, Thomas Achtor, Jun Li and Harold Woolf Cooperative Institute.
AIRS Land Surface Temperature and Emissivity Validation Bob Knuteson Hank Revercomb, Dave Tobin, Ken Vinson, Chia Lee University of Wisconsin-Madison Space.
Radiometric Calibration of the ASTER Thermal Infrared (TIR) Subsystem Simon J. Hook NASA/JPL.
Global Characterization of X CO2 as Observed by the OCO (Orbiting Carbon Observatory) Instrument H. Boesch 1, B. Connor 2, B. Sen 1,3, G. C. Toon 1, C.
A Study of Variability in Tropical Tropospheric Water Vapor Robert L. Herman 1, Robert F. Troy 2, Holger Voemel 3, Henry B. Selkirk 4, Susan S. Kulawik.
Radiance Simulation System for OSSE  Objectives  To evaluate the impact of observing system data under the context of numerical weather analysis and.
Cloud Detection: Optical Depth Thresholds and FOV Considerations Steven A. Ackerman, Richard A. Frey, Edwin Eloranta, and Robert Holz Cloud Detection Issues.
AGU 2008 Highlight Le Kuai Lunch seminar 12/30/2008.
Carbon products: Calibration and validation approaches
Pre-launch Characteristics and Calibration
Surface Pressure Measurements from the NASA Orbiting Carbon Observatory-2 (OCO-2) Presented to CGMS-43 Working Group II, agenda item WGII/10 David Crisp.
Vicarious calibration by liquid cloud target
R2971 Seq0100 Scn003 Hohenpeissenberg (48N, 11W)
AIRS (Atmospheric Infrared Sounder) Instrument Characteristics
NPOESS Airborne Sounder Testbed (NAST)
ECV definitions Mapping of ECV product with OSCAR variables
GOES -12 Imager April 4, 2002 GOES-12 Imager - pre-launch info - radiances - products Timothy J. Schmit et al.
By Narayan Adhikari Charles Woodman
Early calibration results of FY-4A/GIIRS during in-orbit testing
MIPAS-2D water database and its validation
Presentation transcript:

1. TES on EOS-Aura Satellite Denis Tremblay Raytheon Information Solutions Susan Sund Kulawik, Simon Hook, Dave Rider Jet Propulsion Laboratory TES Validation Results from the Lake Tahoe Special Observations ABSTRACT: The Tropospheric Emission Spectrometer (TES) is a high-resolution infrared Fourier transform spectrometer on board the AURA spacecraft launched in As part of the science validation activities, four special "Stare" observations were acquired in August and September 2005 over Lake Tahoe located a the California-Nevada border in western US. Each "Stare" observation took 32 target observation scans each sharing almost the same footprint. The Tahoe site has several advantages for validation, namely it is at high altitude with negligible cloud cover, it has water as the surface with known spectral emissivity, and it has ground-based in-situ radiometric measurements. Statistics of the retrieved values of the target data set over water are compared with the observation error available in the TES product file. In most cases, the results show that the standard deviation of the volume mixing ratio (VMR 1 sigma) at a given pressure level is less that the observation error for H 2 0, atmospheric temperature, and O 3. VMR-sigma is higher than the observation error in the cases of H 2 O and atmospheric temperature for pressure levels very near the surface. The surface temperature difference of the in-situ radiometric measurements minus the TES retrieved values have a mean of -0.11K and a standard deviation of 0.30K. This exercise has provided important validation of the TES reported errors and the TES on-board radiometric calibration source. A31B Lake Tahoe In-situ Measurements Table 1. TES Instrument Specifications Scan 0 Scan TES “Stare” Mode Special Observations Map KeyLatitude Longitude Measurements US Coast (N) (W) Guard v, WD, Ps, SRu, SRd, AOD, ToV, TSI TB Tr, Ts, Ts, Ts, Ts, v, WD, Ps, AT, RH, NR TB Tr, Ts, Ts, Ts, Ts, v, WD, Ps, AT, RH, NR TB Tr, Ts, Ts, Ts, Ts, v, WD, Ps, AT, RH, NR TB Tr, Ts, Ts, Ts, Ts, v, WD, Ps, AT, RH, NR, LR – Longwave Radiation (u-upward looking, d-downward looking), SR – Shortwave Radiation (u-upward looking, d-downward looking), v – Wind Speed, WD – Wind Direction, Ps – Pressure, AT - Air Temperature, RH - Relative Humidity, NR - Net Radiation, AOD - Aerosol Optical Depth, ToV - Total Column Water Vapor, TSI - Total Sky Imager, Tr - Temperature from radiometer, Ts - Skin temperature measured 1cm below skin by thermistor. The far right plot shows the skin temperature on August 20th 2005, date of the TES run 3049 which is one of the 4 special stare observations. The greater variability observed in the afternoon, that is between 19H and 24H GMT, is due to increased wind velocity. This plot was constructed using the on-line tools available on the JPL Lake Tahoe web site. Additional information on others measurements can be found at the following URL: Figure 2. TES Optical Schematic Figure 1. TES Instrument TES is a spaceborne Connes-type interferometer with 4 ports (2 inputs and 2 outputs). Radiance from the 2 outputs ports are splitted allowing the measurements of the same field-of-view over 4 different optical windows. Each of the 4 focal planes has 16 HgCdTe PV detectors. A single scan will produces 64 interferograms. A 4 seconds scan has an optical path difference (OPD) of 8.4 cm which gives a spectral resolution of 0.06 cm-1. A 16 seconds scan has an OPD of 33.2 cm with a spectral resolution of cm-1 (Limb view only). TES pointing control system (PCS) has along and crosstrack viewing capability with angles ranging from -45 to + 45 degrees in each directions. TES has several viewing modes which include nadir (or downlooking), limb (backward looking), off-nadir, and “stare”. A typical nadir observation has a footprint of 5 Km wide by 8 Km long. Off-nadir view footprint will have larger footprint than that of nadir view and will depends on the viewing geometry. Figure 1 shows the TES instrument inside the clean room. The optical schematic shows the radiance path and the optical elements in Figure 2. Table 1 summarizes the TES instrument characteristics. Figure 3. Lake Tahoe buoys locations. Figure 4. Lake Tahoe Buoy Figure 5. Temperature plot, all 4 buoys, August 20th Figure 6. Run 3049 (August 20th 2005) TES footprint of all 32 scans. Figure 4. TES Ground Data System data processing flow RunDateGMT Starting Time (HH:MM:SS) 3049August 20 th :17: August 22 nd :05: September 5 th :17: September 7 th :05:28 Table 2. TES “Stare” special observations time with duration of 2 min 20 seconds. Scan 0: Forward Looking Scan 15: Nadir Scan 31: Backward Looking - Lake Tahoe: 1898 m. altitude, 20% less atmosphere than sea level, never freezes. - 4 Buoys equipped with radiometers giving in-situ measurements of surface temperature (TSUR). - Buoy TB4 disregarded due to systematic bias and selected the 5-minutes averaged TSUR. - Other measurements includes wind direction and speed, relative humidity, and more. - 4 “Stare” mode runs taken, each comprising of 32 target scans. - Along and cross track viewing angle range from +45 to -45 degrees. - Scans of the same run look at the same ‘nominal’ atmosphere and share approximately the same footprint (5x8 Km at Nadir). - Last 5 scans of run 3049 disregarded due to possible land overlay. - Data processed with TES Software Version The retrieval algorithm (ELANOR) uses a non-linear optimal estimation method where the forward model is based on the Line-By-Line Radiative Transfer Model (LBLRTM) from AER corporation.

A41A Results from Atmospheric Retrievals and TSUR comparison. - Are the atmospheric profiles consistent within the same run? - Is the retrieval error analysis modeling adequate? - How do the retrieved and in-situ surface temperatures compare? CONCLUSIONS: - TES special observations over Lake Tahoe provide a unique opportunity to measure the same nominal atmosphere and surface multiple times within three minutes. From these measurements, we learn that the variability of the retrieved profiles is consistent with the reported errors for the air temperature, H 2 O, O 3, and CO. - The TES retrieved surface temperature is consistent with the in-situ measurements, the TES minus in- situ difference has a bias of -0.11K and a standard deviation of 0.30K. Air Temperature (TATM)H2OH2OO3O3 CO TATM Deviation Run 3049 H 2 O Deviation (%) Run 3049 O 3 Deviation (%) Run 3049 CO Deviation (%) Run 3049 TATM Error Run 3049 H 2 O Error Run 3049 O 3 Error Run 3049 CO Error Run 3049 Surface Temperature Run 3049 Surface Temperature Run 3060 Surface Temperature Run 3104 Surface Temperature Run 3110 A.Each plot shows the mean atmospheric profiles of the air temperature (TATM), H 2 O, O 3, and CO of scans flagged as “good quality”. In general, the values are consistent from one run to another. The values of O 3 at about 200 HPa show a decline in time. B.These plots show the deviation of the individual profiles with respect to the mean profiles shown in section A above. Two scans in H 2 O plot have large deviation and were flagged as valid retrievals. This appears to be anomalous. All other plots show reasonable values. C.Total retrieval error (S T ) comprises 4 terms: 1) Smoothing, 2) Cross-state, 3) Systematic, 4) measurement (S m ). The standard deviation (  RUN ) of the valid profiles of each runs is shown along S T and S m. In general, we have S m <  RUN < S T. Values of  RUN for TATM and H 2 O appears to be large for the 2 pressure levels nearest to the surface. ST and Sm are the averaged of the individual TES scans and the horizon bar is the standard deviation. D.The retrieved surface temperature (TSUR) of the individual TES observation scans are compared with the in-situ TSUR measured by the radiometers mounted on the buoys. The in-situ TSUR mean was computed by averaging 6 values, that is 3 buoys with the 2 averaged values taken at the closest time of the TES observations. The difference between the in-situ and the retrieved has a bias of -0.11K and  = All retrieved TSUR values were accounted for to the exception of the 5 scans in run 3049 with land overlay. Histogram Surface Temperature Difference (Retrieved minus In-situ) A31B-0900