Available data sources & Real-time data collection

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1 Available data sources & Real-time data collection Jari Silander & Teemu Näykki & Sami Korhonen & Jari Koskiaho & Harri Lauri Arvola & Timo Vesala, HY (10 min talk) Pekko Ilvessalo, FMI Myllyniemi, SYKE Mauno Rönkkö, UEF Timo Toivanen, VTT Hanna Huitu, LUKE Ympäristötiedosta palveluihin seminaari Vaisala

(10 min talk) Pekko Ilvessalo, FMI Myllyniemi, SYKE Mauno Rönkkö, UEF Timo

2 MMEA Testbed ( )

3 Content 1. Available data sources Participatory sensing Remote sensing Automatic station Forecasts Use cases 2. Real time data collection Sensors Quality control Data service Use cases (real time data in use: data, usages, availabilitiy) 3. Conclusion

4 Available data sources Global EU USA Worldbank Suomi

eu/en/data/ USA https://www.data.gov/open-gov/ Worldbank http://data.

5 Available data sources Use case 1: In-situ data in action (MMEA with SYKE Rapa-project (YM), MMEA team effort

6 Real time data collection Use case: Hi, what is nutrient loading rigth now?

7 Use case:hello: What is nutrient loading now? data system

8 Available data sources Example Environment of OData What is Odata? Why to use Odata? What formats? What resources are availble? What was MMEA role in this? How to use it? What is the best practice?

9 AVOIN DATA ESIMERKKI SUOMESTA MISTÄ APUA? Suomi - Suomen ympäristökeskus

10 ROADMAP DIY-SENSOR DISSERTATIONES CHIMICAE UNIVERSITATIS TARTUENSIS 140 TEEMU NÄYKKI Novel Tools for Water Quality Monitoring From Field to Laboratory

11 QUALITY CONTROL DISSERTATIONES CHIMICAE UNIVERSITATIS TARTUENSIS 140 TEEMU NÄYKKI Novel Tools for Water Quality Monitoring From Field to Laboratory

12 Available data sources Use case 2:Lauri Arvola, HY

13 The catchment of Vanaja (2700 km 2 ) Met station AWQM station Hydr station EDDY station ChemMon station Lammi Biological Station, Univ. of Helsinki City of Hämeenlinna

14 EMMI - System for Environmental Monitoring Powered by Masinotek Ltd

15 Real time data collection In-situ (automatic stations) Satellite Radar Forecasts Participatory sensing

16 Available data sources Use case 3: Air Quality (Pekko Ilvessalo, FMI)

17 Real time data collection Use case 1: Air quality in Helsinki metropolitan area is worsened in the morning. Should people be warned? Air quality observations from Helsinki monitoring stations (open data interface available in beta.fmi.fi: ltipointcoverage&place=helsinki) are showing that nitrogen dioxide concentrations have been raised in the morning. (Observations coming to open data October 2015). Observed temperature and wind profile from mast data in Espoo Kivenlahti available in open data ( &place=helsinki&parameters=ta,ws) are monitored in real-time every 10 minutes and atmospheric stability (Richardson number) is calculated. Atmosphere is at first very stabile and ground surface inversion seems to be the reason for weakened air quality. Next observations however show that inversion is weakening and air quality is expected to get better. Warning won t be given.

request=getfeature&storedquery_id=urban::observations::airquality::hourly::mu ltipointcoverage&place=helsinki) are showing that nitrogen dioxide concentrations have been raised in the morning.

18 Modelling system - FMI Weather prediction models Dispersion models - long-range, regional Dispersion and effects models urban, local ECMWF, ECHAM HIRLAM RCR SILAM LRT, meso, radioactivity CAR-FMI, roadside UDM-FMI, urban HARMONIE o AROME, LAPS HILATAR LRT, meso Aerosol process models: UHMA (U Helsinki, FMI) MONO32 (U Helsinki, Stadia) OSPM (NERI), street canyon BUOYANT, fires ESCAPE, chemical accidents FLUENT, CFD code EXPAND (FMI, YTV) population exposure Meteorological measurements MPP-FMI, Meteorological pre-processing model

022 o AROME, LAPS HILATAR LRT, meso Aerosol process models: UHMA (U Helsinki, FMI) MONO32 (U Helsinki, Stadia) OSPM (NERI), street

19 Available data sources Use case: Satellite data, MMEAteamwork

20 Satellite Data Centre, developed e.g. under Cleen/MMEA OPEN DATA OGC standards compliant interfaces Web Coverage Service (WCS) Web Map Service (WMS) Data is browsable using APOLLO www-client Metadata descriptions are made available through APOLLO Today you can use uncertainty of snow maps (develop in MMEA) S FSC,t = + (FSC) (FSC) (FSC) S S + (FSC) + (FSC) t S S + (FSC) S SYKE will adapt its snow mapping method to new satellite sensors and will operate the service via direct connection to the Satellite Data Centre computing facilities. The data delivery through Standard Data interface continues, to enable different web&desktop GIS-applications.

descriptions are made available through APOLLO Today you can use uncertainty of snow maps (develop in MMEA) S FSC,t = + (FSC) (FSC) (FSC) S S + (FSC) + (FSC) t S

21 Monitoring and quality-controlling of the Web map service utilizing the standard data interfaces Web maps services induce the Private sector For example, SYKE s web map service was tested in piloting the services of Spatineo Ltd. 21

22 CONCLUSIONS To reduce implementation time and cost and increase product value/functionality focus on open standards use more open source tools and SDKs OKFN.ORG & AVOINDATA.FI OData interface first step towards global open source standards. Satellite data interface chl-a -products etc. (WMS) FMI open data interface makes it possible to monitor air urban quality in realtime and estimate pollutant concentration levels in very near future. FUTURE MONITOR2020 program (20 Me, Kärkihanke etc.) has initiated over 20 project to enhance datas information value (Co: Kettunen, Development: Silander) one of them is the ENVIBASE project (7,5 Me SYKE coordination) to increase data interoperatbility & providen satellite products, e.g. Sentinel water quality products in 2017 operationally More information:

23 CONCLUSIONS To reduce implementation time and cost and increase product value/functionality focus on open standards use more open source tools and SDKs OKFN.ORG & AVOINDATA.FI OData interface first step towards global open source standards. Satellite data interface chl-a -products etc. (WMS) FMI open data interface makes it possible to monitor air urban quality in realtime and estimate pollutant concentration levels in very near future. FUTURE MONITOR2020 program (20 Me, Kärkihanke etc.) has initiated over 20 project to enhance datas information value (Co: Kettunen, Development: Silander) one of them is the ENVIBASE project (7,5 Me SYKE coordination) to increase data interoperatbility & providen satellite products, e.g. Sentinel water quality products in 2017 operationally More information:

24 TIEDON ARVO SYNTYY KÄYTÖSTÄ: LUOTETTAVAA INFORMAATIOTA JA PÄÄTÖKSIÄ 2020 Ympäristötiedon tuotanto Ympäristötiedon tuotannon tiekartta osoittaa seurannan kehittymisen suunnan lähitulevaisuudessa. Hyödynnettävän tiedon määrä kasvaa Uusien toimintamallien kehittäminen 1. Uudet menetelmät 2. Toimintamallit Yhteiset, läpinäkyvät & mitattavat tavoitteet % seurannan karsiminen Optimization Maastotyön ulkoistaminen Uusien toimintamallien juurruttaminen: 1. Uusia menetelmiä testataan säännöllisesti 2. Velvoitetarkkailu uusiutuu 3. Seuranta sähköistyy Satelliittikeskus 2017 vedenlaatutuotteita sisävesille Data fuusio Velvoitetarkkailun uudistuu Velvoitteiden keventäminen lait, asetutkset direktiivit EU-vaikuttaminen Tiedon yksikkökustannus pienenee -> Informaation vaikuttavuus kasvaa ->

25 CHANGES IN FIELD WORK KENTTÄ TYÖ LABORA TORIO ALKU- KÄSIT TELY VARAST OINTI KÄYTTÖ YRITYKSET Uudet toiminnot JULKINEN SEKTORI KANSALAISET KANSALAISET MONITOR2020

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