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Denis Plutov Dennis Killinger Department of Physics

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Presentation on theme: "Denis Plutov Dennis Killinger Department of Physics"— Presentation transcript:

1 Blended HITRAN and other spectra databases for modeling emission-based LIDAR
Denis Plutov Dennis Killinger Department of Physics University of South Florida Tampa, FL 11th HITRAN Conference, Cambridge MA, June 16, 2010

2 Outline Emission based LIDAR
- LIBS (Laser-induced breakdown spectroscopy) - LITE (Laser-induced thermal emission) - Modification of LIDAR detected spectrum by atmosphere Use of HITRAN-PC and LIDAR-PC for LIBS / LITE modeling Blended databases for modeling - Comparison of HITRAN and GEISA - Comparison of PNNL, EPA, HITRAN, and GEISA Current work - Need for embedded web-browser to access web-based databases (Mpi-Mainz, JPL, CDMS, EPA) - New spectral features planned for HITRAN-PC 5.0 Beta - Real time spectral decomposition approach examples 5. Overall Philosophy of HITRAN-PC as a Spectral Design Tool

3 Emission based LIDAR

4 Emission based LIDAR setups
LIBS setup LITE setup

5 Example of atmospheric effects on experimental LITE spectra
Experimental LITE spectrum of painted wood Atmospheric path ~1 meter

6 Importance of blended databases for accurate transmission spectra
Modify our existing HITRAN-PC to include - UV-VIS databases (important for UV LIBS etc.) - IR experimental databases (atmospheric pollutants etc) • Combined use / blending and comparison of databases - Addition of contaminant clouds to the atmosphere - Supplementing spectral data unavailable in HITRAN (such as O2 absorption in the UV for LIBS etc.)

7 Emission based LIDAR modeling and evolution of HITRAN-PC

8 Blended / new databases supported by HITRAN-PC 5.0 Beta
GEISA line-by-line GEISA cross-sections (difficult to use with automated access) New experimental databases supported - AEDC / EPA (Atmospheric pollutants) - Coblentz IR database - NIST IR databases - Mpi-Mainz UV-VIS spectral atlas JPL and CDMS

9 Running HITRAN-PC with HITRAN and GEISA at the same time and same parameters
Calculation parameters: Slant path 45 degree up looking, 20 km path, 20 layers, US standard

10 Example: HITRAN and GEISA line-by-line comparisons for CH4
Calculation parameters: 1000m path, part. press: 5E-4 Atm

11 Example: Comparison of the PNNL, EPA, HITRAN and GEISA line-by-line for CH3Br
* - EPA (Multi-spectra, some with contaminants) CH3Br , 1 km path, 5ppm

12 Example: Comparison of the PNNL, EPA, HITRAN and GEISA line-by-line for CH3Cl
* - EPA (Multi-spectra, some with contaminants) CH3Cl , 1 km path, 5ppm

13 Web-browser database access approach from within HITRAN-PC
May need to use embedded Web browser for some databases with manual record-by-record access (Need to interface and work with database owners) Databases: MPI-Mainz UV-VIS Spectral Atlas JPL CDMS AEDC / EPA

14 HITRAN-PC 5.0 Beta Overview

15 New spectral features Planned for Beta 5.0
Store individual line spectra for each line-by-line record (and for each layer) Easy to assemble / merge lines or isotopes separately or as a composite in real time with no recalculation Easy direct comparison of different databases in number of lines, differences in coverage etc. New lineshapes and models

16 Real time spectra decomposition
Composite Molecule totals Isotope totals Separate molecule lines Separate isotope lines Calculation parameters: HITRAN database, US Standard (H2O and CO2), horizontal 1000 m path

17 PNNL and HITRAN comparison for CO2 with spectral decomposition
Green – Hitran line-by-line, Blue - PNNL Calculation parameters: US Standard, 100m, CO2

18 Overall Philosophy

19 Thank you

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