CINDI Workshop, BIRA, Brussels, 2010-3-10 Pandora Direct Sun Data during CINDI Alexander Cede

1. CINDI Workshop, BIRA, Brussels, 2010-3-10 Pandora Direct Sun Data during CINDI Alexander Cede Nader Abuhassan Jay Herman

2. This talk • Short overview of Pandora • Pandora direct sun data during CINDI

3. The Pandora project - NASA saw the need for a ground-based instrument network that can be used for validation of satellite retrievals of trace gas amounts and aerosol properties.

4. The Pandora project - NASA saw the need for a ground-based instrument network that can be used for validation of satellite retrievals of trace gas amounts and aerosol properties. - Desirable is a network like Dobson-Brewer network for total ozone or AERONET for aerosol properties. AERONET stations

5. The Pandora project - NASA saw the need for a ground-based instrument network that can be used for validation of satellite retrievals of trace gas amounts and aerosol properties. - Desirable is a network like Dobson-Brewer network for total ozone or AERONET for aerosol properties. - In addition there was the idea of regional “denser” networks to study the sub-satellite-pixel variability of highly variable species (e.g. aerosols, NO2). This would help to determine the best compromise between temporal and spatial resolution of the GEO-CAPE mission (geostationary orbit). AERONET stations

6. Different remote sensing techniques Satellite nadir view - needs profile information - needs albedo information - no profile information retrieved - scattered light from “larger region”

7. Different remote sensing techniques Satellite nadir view - needs profile information - needs albedo information - no profile information retrieved - scattered light from “larger region” Ground MAXDOAS - can retrieve some profile information - scattered light from “local region” - total column needs air mass factor calculations

8. Different remote sensing techniques Satellite nadir view - needs profile information - needs albedo information - no profile information retrieved - scattered light from “larger region” Ground MAXDOAS - can retrieve some profile information - scattered light from “local region” - total column needs air mass factor calculations Direct sun - no profile information needed (accurate total columns) - no profile information retrieved - small “cone” in atmosphere

9. The Pandora project As a consequence the Pandora project was born in 2006 with 2 main requirements:

10. The Pandora project As a consequence the Pandora project was born in 2006 with 2 main requirements: 1) The instrument should be able to measure both direct sun and sky spectra.

11. The Pandora project As a consequence the Pandora project was born in 2006 with 2 main requirements: 1) The instrument should be able to measure both direct sun and sky spectra. 2) The instrument should be designed for network operation. Therefore the total instrumental cost should be kept as low as possible.

12. The Pandora project As a consequence the Pandora project was born in 2006 with 2 main requirements: 1) The instrument should be able to measure both direct sun and sky spectra. 2) The instrument should be designed for network operation. Therefore the total instrumental cost should be kept as low as possible. The idea was that for calibration Pandora could be compared to stable low noise systems like MFDOAS from WSU.

13. Pandora is a spectrometer system that measures (ir)radiance with a narrow field of view (~1.6° full angle) pointing at the sun, the moon, or the sky • It consists of • a head sensor • a tracker • an optical fiber • a spectrometer • a temperature controller • a computer that operates • the instrument and • processes the data

14. Pandora head sensor

15. Pandora head sensor Fused silica window

16. OPEN OPEN ND1 POL240 ND2 POL120 ND3 POL0 ND4 Pandora head sensor First filterwheel

17. OPEN OPEN OPAQUE U340 OPEN BP300 OPEN OPEN OPEN Pandora head sensor Second filterwheel

18. Pandora head sensor Fused silica plano-convex lens

19. Pandora head sensor Fused silica optical fiber

20. The tracker • Use tracking system from „DirectedPerception“. • Advantages: • Commercially available • Low cost (<3000$) • Comes with easy to control serial interface • Disadvantages: • Gears wear out (so need maintanance, • some units more, some less) • Has no optical encoders • Limited zenith motion (no downwards looking) • We already have started to design our own tracker; this has the full 4-range of motion and optical encoders

21. The fiber…

22. The fiber Fibers have lot’s of issues … Transmission changes with bending Transmission changes at reconnection

23. The fiber… Fibers have lot’s of issues … but we decided to use them Transmission changes with bending Service loop Transmission changes at reconnection FC connectors

24. The fiber… Fibers have lot’s of issues … but we decided to use them Transmission changes with bending Service loop Transmission changes at reconnection FC connectors Biggest advantage: System becomes modular!

25. The fiber… Fibers have lot’s of issues … but we decided to use them Transmission changes with bending Service loop Transmission changes at reconnection FC connectors Biggest advantage: System becomes modular! “Long fiber forgets incidence location, azimuth, and polarization, but remembers incidence zenith angle”  Therefore, careful with non-diffuse input!

26. The spectrometer… The standard Pandora wavelength range is 270-530nm and a resolution of ~0.5nm (similar OMI).

27. The spectrometer… • The standard Pandora wavelength range is 270-530nm and a resolution of ~0.5nm (similar OMI). • We tested mini-spectrometers from different providers. • StellarNet: many issues • OceanOptics: resolution has strong dependence on temperature • Hamamatsu: no custom design possible; also strongly assymetric slit function • Avantes: stable, symmetric slit function; issues with read out electronics

28. The spectrometer… • The standard Pandora wavelength range is 270-530nm and a resolution of ~0.5nm (similar OMI). • We tested mini-spectrometers from different providers. • StellarNet: many issues • OceanOptics: resolution has strong dependence on temperature • Hamamatsu: no custom design possible; also strongly assymetric slit function • Avantes: stable, symmetric slit function; issues with read out electronics • We decided to use the Avantes spectrometer But we are also testing a “hybrid” system (Avantes optical bench with Hamamatsu Detector and read out electronics)

29. The temperature controller • Commercially available system from „TE Technology“. • Serial interface • Controls temperature at feed-back position to about ±0.2°.

30. The temperature controller • Commercially available system from „TE Technology“. • Serial interface • Controls temperature at feed-back position to about ±0.2°. • Note: • Despite stabilizing the outside of the spectrometer to ±0.2° the electronics board temperature still typically varies for ±1° and sometimes more

31. Current status of Pandora • Head sensor: very mature; gets a camera in the next version

32. Current status of Pandora • Head sensor: very mature; gets a camera in the next version • Temperature controller: we are trying to improve the heat sink

33. Current status of Pandora • Head sensor: very mature; gets a camera in the next version • Temperature controller: we are trying to improve the heat sink • Tracker: own design expected to be tested later this year

34. Current status of Pandora • Head sensor: very mature; gets a camera in the next version • Temperature controller: we are trying to improve the heat sink • Tracker: own design expected to be tested later this year • Spectrometer: we are building a second „hybrid“ with better options for temperature control

35. Current status of Pandora • Head sensor: very mature; gets a camera in the next version • Temperature controller: we are trying to improve the heat sink • Tracker: own design expected to be tested later this year • Spectrometer: we are building a second „hybrid“ with better options for temperature control • - Software: Operation Software is on Version 1.1; Processing software is not automized yet; both are written in Python

36. Current status of Pandora • Head sensor: very mature; gets a camera in the next version • Temperature controller: we are trying to improve the heat sink • Tracker: own design expected to be tested later this year • Spectrometer: we are building a second „hybrid“ with better options for temperature control • - Software: Operation Software is on Version 1.1; Processing software is not automized yet; both are written in Python • Have about 3 years of data with Pandora 1 (sun only), and about 8 months of data with two more units.

37. Current status of Pandora • Head sensor: very mature; gets a camera in the next version • Temperature controller: we are trying to improve the heat sink • Tracker: own design expected to be tested later this year • Spectrometer: we are building a second „hybrid“ with better options for temperature control • - Software: Operation Software is on Version 1.1; Processing software is not automized yet; both are written in Python • Have about 3 years of data with Pandora 1 (sun only), and about 8 months of data with two more units. • Only sun data are currently being analyzed (except for CINDI blind intercomparison)

38. Pandora direct sun data during CINDI Show plots of the same 11 days with good conditions for the parameters retrieved.

39. Pandora direct sun data during CINDI NO2 – calibrated using MLE Pandora OMI

40. MLE=Modified Langley Extrapolation Red: use mean over some measurements as a reference Blue: use convoluted extraterrestrial spectrum as reference

41. Pandora direct sun data during CINDI O3 – calibrated using Brewer at GSFC Pandora OMI

42. Pandora direct sun data during CINDI H2O – calibrated using Aeronet at GSFC Pandora Aeronet

43. Pandora direct sun data during CINDI The following species also „emerge“ from the algorithm. I don‘t know if any of these variations is real...

44. Pandora direct sun data during CINDI HCHO – calibrated using MLE Pandora OMI

45. Pandora direct sun data during CINDI BrO – calibrated using MLE Pandora OMI

46. Pandora direct sun data during CINDI Glyoxal – calibrated using MLE Pandora OMI

47. Pandora direct sun data during CINDI SO2 – calibrated using MLE Pandora OMI

48. Pandora direct sun data during CINDI OClO – calibrated using MLE Pandora OMI

49. Pandora direct sun data during CINDI IO – calibrated using MLE Pandora OMI