Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Department 1 Physics/Electrical Engineering NORS/NDACC UV-VIS Working Group Meeting Brussels, 04. 07. 2012 NORS WP 4: Advanced characterisation of NORS data products Andreas Richter, Folkard Wittrock and the WP 4 Team Institute of Environmental Physics and Institute of Remote Sensing University of Bremen Andreas. Richter@iup. physik. uni-bremen. de
Main Objectives of NORS WP 4 “Ensure that the products provided by NORS are tailored so that the data can be used directly as validation data in the GMES atmospheric service (= GAS = MACC-II). ” • • Harmonization of data in terms of format and contents Full characterisation of data with respect to integration volume, resolution, and sensitivity Full description of uncertainties Comparison to satellite data used for assimilation in GAS Andreas. Richter@iup. physik. uni-bremen. de 2
Changes to current NDACC UV/vis approach Application of NDACC UV/vis data in GAS necessitates important changes in approach: Data of interest • Both stratospheric and tropospheric column amounts, profiles and surface concentrations Data formats • Common GEOMS HDF/net. CDF format for all instruments and products Data provision • NRT or within a few weeks, not months / years Uncertainties • Detailed error budget needed for assimilation system Application • Automated use for daily validation Andreas. Richter@iup. physik. uni-bremen. de 3
Structure of NORS WP 4 Task 4. 1 Data Formats Task 4. 2 Information Content and Harmonization of Networks / Techniques Task 4. 3 Uncertainties Task 4. 4 Comparison to Satellite Observations Andreas. Richter@iup. physik. uni-bremen. de 4
Structure of WP 4 Task 4. 1 Data Formats • Collection of current formats and contents • Iteration with data providers and GAS • Harmonisation of data files following GEOMS (Generic Earth Observation Metadata Standard) • Definition of new formats by all data providers for WP 3 and WP 7. If needed, development of conversion tools => GEOMS standards will be applied ULg, UBremen, BIRA-IASB, INTA, UBern, KIT, CNRS, MPIC, UH, S&T Andreas. Richter@iup. physik. uni-bremen. de 5
Structure of WP 4 Task 4. 2 Information Content and Harmonization of Networks / Techniques • Characterisation of vertical sensitivity and resolution • Analysis of horizontal displacement and averaging using different RTMs • Development of CH 4 retrievals for NDACC and TCCON using overlapping windows • Standardisation of retrieval settings • Comparison of periods with parallel measurements of same quantity using different NORS techniques • Documentation of procedures and results U. Bremen, BIRA-IASB, INTA, UBern, KIT, CNRS, ULg, MPIC, UH Andreas. Richter@iup. physik. uni-bremen. de 6
Structure of WP 4 Task 4. 3 Uncertainties • Collection of existing error assessments • Execution of additional sensitivity studies and theoretical uncertainty estimates • Consistent documentation of results • Recommendation for harmonized uncertainty reporting KIT, U Bremen, BIRA-IASB, INTA, UBern, CNRS, ULg, MPIC, UH Andreas. Richter@iup. physik. uni-bremen. de 7
Structure of WP 4 Task 4. 4 Comparison to Satellite Observations • Evaluation of existing studies comparing satellite and NORS type data • Definition of validation approach and protocol • Execution of additional comparisons where possible and needed • Report on consistency INTA, UBremen, BIRA-IASB, INTA, UBern, KIT, CNRS, ULg, MPIC, UH Andreas. Richter@iup. physik. uni-bremen. de 8
Summary • With NORS, a small subset of NDACC UV/vis stations will move to – Rapid data delivery – Use of GEOMS formats – Detailed measurement and error characterisation – Comparison between different NDACC measurement systems • As a result, data will be much more applicable for use in data assimilation and model / satellite data validation • It is foreseen to extend this approach to other stations after the project if resources are available => If successful, the NORS approach will substantially enhance the usability of NDACC UV/vis data and hopefully open an opportunity for future funding through link to the operational GAS service Andreas. Richter@iup. physik. uni-bremen. de 9
Deliverables of WP 4 No Title Lead Due D 4. 1 Data format definitions ULg 04. 2012 D 4. 2 Data user guide BIRA-IASB 04. 2013 D 4. 3 Error budgets KIT 04. 2013 D 4. 4 Data representativeness UBremen 07. 2013 D 4. 5 NORS data consistency UBremen 10. 2013 D 4. 6 Methane data assessment UBremen 10. 2013 D 4. 7 Consistency with satellite data UBern 04. 2014 Andreas. Richter@iup. physik. uni-bremen. de 10
Milestones of WP 4 No Title Lead Due MS 2 Formats agreement Ulg 04. 2012 MS 8 Start of NDACC – TCCON x-calibration UBremen 10. 2012 MS 10 Unceratinties in NORS data products KIT 04. 2013 MS 11 Start verification of NORS data products UBremen 04. 2013 MS 13 Multi-D characterisation of NORS data products UBremen 01. 2014 Andreas. Richter@iup. physik. uni-bremen. de 11
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