Atmospheric Conditions And Meteorological Geographical Features (TWG – AC+MF) Spiros Ventouras (Editor) CEDA – RAL Spa

1. Atmospheric Conditions And Meteorological Geographical Features (TWG – AC+MF) SpirosVentouras(Editor) CEDA – RAL Space - STFC Edinbrough 29 June 2001

2. TWG - AC+MFAtmospheric Conditions + Meteorological Geographical Features • Membership: • Sheila Cryan - European Environmental Agency • EsaFalkenroth - Swedish Meteorological and Hydrological Institute • FrédéricGuillaud - Météo-France • Stefano Nativi - Italian National Research Council (CNR - IMAA) • Erwin Petz - Zentralanstalt f. Meteorologie und Geodynamik, Austria • IlkkaRinne - Finnish Meteorological Institute (FMI) • Martin Schultz • Raymond Sluiter - Royal Netherlands Meteorological Institute (KNMI) • Bernard Strauss (Facilitator) - Météo-France • SpirosVentouras (Editor) - STFC Rutherford Appleton Laboratory, UK • AasmundVik • Bruce Wright - Met Office, UK

3. TWG - AC+MFfrom the directive • III-13 Atmospheric Conditions: • Physical conditions in the atmosphere. Includes spatial data based on measurements, on models or on a combination thereof and includes measurements locations • III-14 Meteorological Geographical Features: • Weather conditions and theirmeasurements: precipitation, temperature, evapotranspiration, wind speed and direction !!! Whatis the differencebetween III-13 and III-14? Distinction is not so clear & scope potentially very large

4. TWG - AC+MFapproach • Develop Use Cases and use them to focus on which data are really needed • Treat AC & MF as single theme for initial development of data specification • Ensure coherence with other, highly significant, development work underway: • Data and services specification in OGC MetOcean Domain Working Group • New WMO Information System • both aiming at interoperability of meteorological information

5. Flood forecasting Use of meteorology in support of emergency response Climate assessment (with past & predicted data) Use Cases High Level Detailed Flash flood forecasting Finding best locations for new wind farms Plume prediction in support of emergency response Short & medium range flood forecasting Climate Impacts

6. The scope • No guidance available on the range of information to be covered by AC + MF: • Inclusion of forecast data? • Precise list of parameters? • Spatial and temporal resolution? • Vertical dimension? • Etc. • Detailed review of available documents yields no a priori reason to exclude any type of meteorological information • => critical question: feasibility and affordability. • List of mandatory parameters for the initial implementation: basic meteorological parameters required for the reference use cases

7. The model • Four leaf packages: • AtmosphericCondition • AtmosphericConditionProcess • ObservableProperty • CSML v3 • "Climate Science ModellingLanguage", a standards-based data model and GML application schema for atmospheric and oceanographic data developedat the Rutherford Appleton Laboratory (UK) • with dependencies on packages from the INSPIRE Generic Conceptual Model and geographic information International Standards (ISO 191xx series), in particular ISO 19156.

8. The model Package Structure & Dependencies

9. The model ISO 19156 (Observations and Measurements) • the AC-MF conceptual schema is rooted on the common base conceptual model of Observation and Measurements (O&M) defined in ISO 19156:2011 which introduces the concepts of observation and spatial sampling feature. • Observation: is an act that results in the estimation of the value of a feature property of a feature of interest using a designated procedure. • Spatial sampling feature: the applied sampling regime required where exhaustive observation of environmental parameters is not possible – for example, there is no observation that can provide air temperature values of the whole atmosphere above London.

10. The model ISO 19156 (The concept of Observation )

11. The model-ISO 19156 (Spatial Sampling Feature ) • Example illustrating the of concepts: sampling coverage observation, sampling feature and sampled feature. Measurements of air temperature (observed property) at a specific location (a point spatial sampling feature) of the atmosphere above Chilbolton Observatory, UK (sampled feature).

12. The model Ac:Atmospheric Condition • Central place given to “Atmospheric Condition”: aggregation of one or more instances of OM_Observation • Examples of such aggregation: • an entire result set (all parameters, all times, all levels) of a single model run • all observations collected from a single ground observation station within one collecting period (1 minute - 1 day) • all observations collected from all available ground observation stations within one collecting period (last 3-6h) • all possible weather information available for a given region over a given time period • all air traffic related meteorological information considering two given airports and the airspace between • any distinct data set containing meteorologically interesting data

13. The model Ac:Atmospheric Condition

14. The model Ac:ObservableProperty / Parameters • The list of parameters to be included in an Atmospheric Condition instance shall be extracted from the “ObservablePropertyValue” code list, depending on the need of the application for which the data is produced. • If the codelistObservablePropertyValue is not sufficient to describe an observedProperty, e.g. daily maximum temperature, further detail shall be provided by the attribute SimpleObservableProperty.constraint

15. The model Ac:ObservableProperty

16. The model Ac:Atmospheric Condition Process • The Directive states that atmospheric data can originate from measurements, models, or post-processed information combining measurement and model output. • AtmosphericConditionProcessshall provide information regarding the procedureusedto generate the result for each observation member of AtmosphericCondition. • This set of information consists of the following information pieces: • identification, type and further documentation of the applied procedure; • individual(s) and/or organisation(s) related to the procedure; • names of parameters controlling the procedure’s output.

17. The model Ac:Atmospheric Condition Process

18. The model CSML V3 • AC-MF model adopts the CSML observation types - specialisations of sampling coverage observation - each corresponding to a particular spatiotemporal sampling geometry and related coverage result [OGC pending document 11-021]. • CSML will be external to AC-MF model in the future versions.

19. The model CSML V3

20. The model overview AtmosphericCondition State of the Atmosphere over a temporal/spatial extent FeatureOfInterest Of Atmoshphere Or a relevant SamplingFeature e.g.Profile ObservedProperty Of phenomena Result Including estimates AtmosphericConditionProcess Observed using a procedure

21. TWG - AC+MFAtmospheric Conditions + Meteorological Geographical Features Thank you for your attention !