National Remote Sensing Validation Workshop NATIONAL REMOTE SENSING

National Remote Sensing Validation Workshop NATIONAL REMOTE SENSING VALIDATION WORKSHOP ALBRECHT VON BARGEN, GERMAN AEROSPACE CENTER SPACE ADMINISTRATION, EARTH OBSERVATION CEOS WGCV PLENARY # 44 | EUMETSAT, DARMSTADT | AUGUST 28 – 31, 2018

National Remote Sensing Validation Workshop WORKSHOP OVERALL MOTIVATION Remote Sensing from space Validation Infrastructure To contrast the demands and needs of remote sensing from space with the existing German validation infrastructures to derive the § Opportunities § Needs & Gaps § Future perspectives offered by the validation infrastructures Page 2

National Remote Sensing Validation Workshop SPACE AGENCIES‘ PERSPECTIVE Satellite sensors • Increasing number of sensors • Long-term continuous & sustainable data products • New (operational) objectives (e. g. climate monitoring, etc. ) Data products • Increasing number of applications and data products • Higher demands on data quality (accuracy) • Coverage (time and space) Validation • Validation and long-term monitoring • High demand on data quality Page 3

National Remote Sensing Validation Workshop VALIDATION COMMUNITY PERSPECTIVE Instrumentation • Sophisticated instruments measuring a variety of data products • Partial long-term operation • Partly well characterized Scientific evaluation • Process studies to answer scientific questions • Long-term monitoring of specific processes or trends Data management • Date are partly used only by specific groups • Sometimes distribution via (measurement) networks Pagee 4

National Remote Sensing Validation Workshop HOW TO SET-UP THE WORKSHOP? Atmosphere Land surface Waters Solid Earth Climate • Trace gases • Clouds • Aerosol • Temperature • Wind • . . . • Soil • Vegetation • Surface character • . . . • Content • Temperature • Surface • . . . • Magnetic field • Gravitation • Topography • . . . • Long-term observations • Temperature • Trace gases • Changes • . . . Room 4 Room 5 Room 1 Room 2 Room 3 Synthesis Page 5 NO!

National Remote Sensing Validation Workshop TALKS Presentations § Validation needs – a space agency‘s view (B. Bojkov, EUMETSAT) § Why is validation so difficult? (K. Thome, NASA) § The German validation infrastructure – a survey (C. Rolf, FZ Jülich) § Introduction of TCCON network and validation activities (J. Notholt, Universität Bremen) § Introduction of TERENO network and validation activities (C. Montzka, FZ Jülich) § ENVRI Plus activities (A. Petzold, FZ Jülich) Discussions blocks § Statements (1 slide) during discussion blocks Page 6

National Remote Sensing Validation Workshop DISCUSSION ON & ALONG CROSS-CUTTING TOPICS Aims & Need for Satellite Validation Characterization of measurement sites Fiducial reference measurements Linking Satellite and measurement communities M. Bachmann, DLR J. Fischer, FU Berlin A. Petzold, FZ Jülich C. Brockmann (Brockmann) Benchmark Definition Validation means: Measurements & Models Traceability of data products Methodologies Quality assurance Need, formation, and benefit of networks for community building Instrument Characterization Comparability Temporal and spatial coverage Fiducial Reference Measurements Cross sensitivity Uncertainty determination Requirements for satellite and validation measurement mapping Requirements for measurement availability Long-term data records for satellite validation Homogeneity Model Representativeness Page 7 Requirements for networks Data accessibility and availability Awareness: Promotion of validation measurements and results

National Remote Sensing Validation Workshop DISCUSSION ON & ALONG CROSS-CUTTING TOPICS Aims & Need for Satellite Validation M. Bachmann, DLR Take away message § Dualism in benchmark definition A. Petzold, - FZInstrument Jülich provider – verification vs. requirements M. Bachmann, DLR Benchmark Definition Requirements for satellite and validation measurement mapping Requirements for measurement availability Long-term data records for satellite validation Page 8 Scientists – validation of data products § Transparency in validation requirements and methods § Standardized processes § Well-characterized validation sites § Sustainability/availability of validation is in many cases difficult to include in science research plans (inclusion in research infrastructures? )

National Remote Sensing Validation Workshop DISCUSSION ON & ALONG CROSS-CUTTING TOPICS Characterization of measurement sites Take away message J. Fischer, FU Berlin § Validation means: Measurements & Models Improvement needs - Coverage and methods - Models and literature data § Importance of pre-launch characterization data § Validation sites locally to be fully characterized Instrument Characterization § Representativeness of models to be further clarified Temporal and spatial coverage § Different methods of validation Methodologies Cross sensitivity Homogeneity Model Representativeness Page 9 - Provision of matching quantities - Models to derive comparable quantities

National Remote Sensing Validation Workshop DISCUSSION ON & ALONG CROSS-CUTTING TOPICS Fiducial reference measurements Take away message A. Petzold, FZ Jülich § Traceability of data products § Quality assurance Comparability Fiducial Reference Measurements Uncertainty determination Page 10 Fiducial Reference Measurements (FRMs) - Role in satellite product validation to be clarified - Demand on agencies for definition and fund - Specific with respect to satellite sensor Science networks available but - Standard operational procedures? - Quality assurance? § Need for further development, improvements, extension § Benefit for scientific entities? § Clear definition in uncertainty derivation, comparability, and quality assurance needed

National Remote Sensing Validation Workshop DISCUSSION ON & ALONG CROSS-CUTTING TOPICS Linking Satellite and measurement communities Take away message C. Brockmann (Brockmann Consult) Need, formation, and benefit of networks for community building Requirements for networks Data accessibility and availability Awareness: Promotion of validation measurements and results Page 11 § Why is network participation beneficial? § Different subjects of networks (e. g. Sensor calibration, Algorithm verification, Non-space-based measurements) § Different types of networks (e. g. Voluntary cooperation, Research infrastructure (with strong commitments) Network of networks) § Strength of validation networks is differing in different communities § Some network with mid/long-term commitments (e. g. ACTRIS, ICOS-D) § Lack of funding in general § Long-term availability of data and continuity of data acquisition not secured

National Remote Sensing Validation Workshop TAKE AWAY MESSAGES § Transparent communication of validation requirements § Validation in Germany based on scientific entities: how to include in research plans? § Long-term availability and continuity in data acquisition is not secured § Characterization and methods are point of discussion in many details § Challenge in SOPs and Quality assurance § Discussion on Research Infrastructures § Continuous platform in DE to discuss and agree common procedures / processes / standards …. . Page 12