Yasjka Meijer, RIVM

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- EQUAL - E nvisat Qu ality A ssessment with L idar a project to support the long-term validation of SCIAMACHY’s ozone and temperature profiles Yasjka Meijer, RIVM

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- EQUAL - E nvisat Qu ality A ssessment with L idar a project to support the long-term validation of SCIAMACHY’s ozone and temperature profiles. Yasjka Meijer, RIVM. Project basics - 1. ESA-funded project (led by RIVM, D.P.J. Swart) Long term validation of Envisat products - PowerPoint PPT Presentation

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Page 1: Yasjka Meijer, RIVM

- EQUAL - Envisat Quality Assessment with

Lidara project to support the long-term validation

of SCIAMACHY’s ozone and temperature profiles

Yasjka Meijer, RIVM

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2EQUAL | Yasjka Meijer and Daan Swart, 8 December 2004

• ESA-funded project (led by RIVM, D.P.J. Swart)• Long term validation of Envisat products

– Ozone profiles, temperature profiles– Gomos, Mipas and Sciamachy– Monitoring the data quality (health of instruments and

processing chain) during satellite’s lifetime– Validate new releases of data (processor upgrades)

• Reference: lidar data of 11 NDSC stations • Timeframe: 2004 - 2005 (probable extension to 2007)

Project basics - 1

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Lidar data qualityTable 1. Errors expected within ozone lidar data of the NDSC.Altitude range Bias Variance<20 km 5–10% without Raman channels 5%<20 km 5% with Raman channels 5%20–35 km 2% 2%>35 km 5–10% 5–10%

Table 2. Errors expected within temperature lidar data of the NDSC.Altitude range Bias Variance30 km 5–10 K without Raman channels 2 K30 km 1 K expected with Raman

channels4 K

35 –65 km 1 K 2 K75 km 5–10 K 5–10 K

From Keckhut et al. [2004, table 3].Keckhut, P., et al., Review of ozone and temperature lidar validations performed within the framework of the Network for the Detection of Stratospheric Change, J. Environ. Monit., 6, 721–733, 2004.

O3(r),

12-50 km

T(r),12-75 km

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EQUAL network

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List of lidar locationsGroundstation Latitude Longitude Parameter

Eureka 80.05 -86.42 Ozone, temperature

Ny Ålesund 78.92 11.93 Ozone, temperature

Alomar 69.30 16.00 Ozone, temperature

Esrange 67.88 21.10 Temperature

Hohenpeissenberg 47.80 11.02 Ozone, temperature

Obs Haute Provence 43.94 5.71 Ozone, temperature

Toronto 43.66 -79.40 Ozone, temperature

Tsukuba 36.05 140.13 Ozone, temperature

Table Mountain 34.40 -117.70 Ozone, temperature

Mauna Loa 19.54 -155.58 Ozone, temperature

La Reunion -21.80 55.50 Ozone, temperature

Lauder -45.04 169.68 Ozone, temperature

Dumont d’Urville -66.67 140.01 Ozone, temperature

GREY = currently unavailable at NILU

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Project basics - 2Work Package 1Involves everything needed between lidar data acquisition

and submission to the NILU database.

Work Package 2Involves analyses and reporting of the quality regarding the

ozone and temperature profiles of ENVISAT (i.e., GOMOS, MIPAS, and SCIAMACHY).

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Data used in projectSatellite:• ESA processing (diverse)• (Other sources, scientific)• ESA Database• NL_SCIA_DC• Database @ RIVM of

collocated data

Groundbased lidars:• Individual PI processing• NILU Database

(contributions either

through RIVM or directly)• Database @ RIVM of

collocated data

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Lidar Data 2003Table 3. Data submission statistics, 2003

Station System Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sept. Oct. Nov. Dec. TotalALO NILU001 6 2 0 0 0 0 0 0 0 0 0 0 8ESR UBONN003 6 7 0 0 0 0 0 0 0 0 0 5 18HOH DWD001 4 10 10 7 8 8 10 13 8 9 12 9 108LAR Unknown 0 0 0 0 0 0 0 0 0 0 0 0 0LAR Unknown 0 0 0 0 0 0 0 0 0 0 0 0 0LAU RIVM002 5 6 5 4 5 4 6 4 4 5 6 4 58MLO CNRS.SA004 16 10 13 5 End - - - - - - - 44MLO NASA.JPL001 - - - Start 12 15 13 11 13 0 11 8 83MLO CNRS.SA005 16 10 14 5 End - - - - - - - 45MLO NASA.JPL002 - - Start 1 14 15 13 11 16 8 11 8 97NYA AWI001 21 13 1 0 0 0 0 0 0 0 0 0 35OHP CNRS.SA001 15 11 10 1 5 5 0 2 5 9 12 9 84TMF CNRS.SA002 14 5 13 8 End - - - - - - - 40TMF NASA.JPL003 - - - Start 9 12 1 5 9 13 7 7 63TMF CNRS.SA003 10 5 13 7 End - - - - - - - 35TMF NASA.JPL004 - - Start 1 10 13 3 5 9 14 9 8 72TSU NIES001 3 5 3 2 0 0 0 0 0 0 0 2 15TSU NIES002 3 4 1 2 0 0 0 0 0 0 0 2 12TOTAL all systems 119 88 83 43 63 72 46 51 64 58 68 62 817

817

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Lidar Data 2004Table 4. Data submission statistics, 2004

Station System Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sept. Oct. Nov. Dec. TotalALO NILU001 0 0 0 0 0 0 0 0 0 0 0 0 0DDU XXX 0 0 0 0 0 0 0 0 0 0 0 0 0ESR UBONN003 0 0 0 0 0 0 0 0 0 0 0 0 0EUR MSC003 0 9 5 0 0 0 0 0 0 0 0 0 14EUR MSC004 0 9 5 0 0 0 0 0 0 0 0 0 14HOH DWD001 4 7 10 10 8 6 9 9 2 0 0 0 65HOH DWD002 0 0 0 0 0 0 0 0 0 0 0 0 0LAR XXX 0 0 0 0 0 0 0 0 0 0 0 0 0LAU RIVM002 7 8 7 9 5 5 11 8 9 0 0 0 69LAU RIVM003 0 0 0 0 0 0 0 0 0 0 0 0 0MLO NASA.JPL001 10 11 7 12 11 14 14 15 0 0 0 0 94MLO NASA.JPL002 10 11 7 12 11 14 14 15 0 0 0 0 94NYA AWI001 0 0 0 0 0 0 0 0 0 0 0 0 0OHP CNRS.SA001 11 11 15 0 0 0 0 0 0 0 0 0 37TMF NASA.JPL003 8 8 14 7 8 10 11 2 0 0 0 0 68TMF NASA.JPL004 12 8 14 13 13 17 12 4 0 0 0 0 93TOR MSC001 0 0 0 0 0 0 0 0 0 0 0 0 0TSU NIES001 4 3 2 4 4 2 3 3 3 0 0 0 28TSU NIES002 2 0 1 3 1 2 2 3 2 0 0 0 16TOTAL all systems 68 85 87 70 61 70 76 59 16 0 0 0 592

592

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Analysis• RIVM main focal point (1+ fte), Yasjka Meijer• Dedicated analysis for SCIA, Dorien Lolkema• Some other partners also active in analysis

(e.g., dr K.H. Fricke, U. Bonn Lidar at Esrange used for SCIAMACHY

validation)• Reporting of analysis results:

– through ESA’s Quality Working Groups (QWG)– through SCIAVALIG– ACVE workshops– conferences and symposia– scientific publications

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First analysis results 1/2• Initial focus has been on GOMOS ozone profiles

Meijer, Y. J., et al. (2004), Pole-to-pole validation of Envisat GOMOS ozone profiles using data from ground-based and balloon sonde measurements, J. Geophys. Res., 109, doi:10.1029/2004JD004834.

Example of main analysis result

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First analysis results 2/2• Fast standard analysis, performed within 1 day!

V6.0a

V5.4b

Aer 1ol

April 2004: significant contribution for decision on processor setting

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For more information, please contact [email protected] or

[email protected],

and see next presentation by Dorien Lolkema

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Backup slides - detailed info

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Project basics - 1/3Work Package 1Involves everything needed between lidar data acquisition and

submission to the NILU database. In particular:

• Performance check of lidar measurements

• Processing to temperature and/or ozone profiles

• Checking of data quality

• Data formatting to NILU database HDF

• Uploading to NILU database

• Monthly reports on data statistics per contributing institute.

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Project basics - 2/3Work Package 2Involves tasks to analyse and report on the quality of the

temperature and ozone profiles of ENVISAT (i.e., GOMOS, MIPAS, and SCIAMACHY). In particular:

• Request and download ENVISAT data.

• Understanding and reading of ENVISAT data.

• Derive lists of collocated measurements between ENVISAT and lidar

observations.

• Perform comparison studies between ENVISAT and lidar profiles of

ozone and temperature.

------> continued ------>

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Project basics - 3/3Continuation of Work Package 2

• Perform analysis studies to estimate absolute and random differences

between ESA delivered products and the lidar measurements.

• Identify possible error dependencies on independent variables (e.g.,

altitude, latitude, illumination conditions, etc.).

• Generate contributions to the ACVE meetings.

• Generate 2 web articles for ESA web site.

• Generate validation reports.

• Generate annual report.

• Generate final report.

• Organize Project Workshops to inform the contributing NDSC partner

institutes of the analysis results.