Neuigkeiten zum CAMS Johannes Flemming
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Regionale und global information zu atmopshaerische Spurenstoffen Atmosphere European Air NO Monitoring 2 Quality and products in http://atmosphere.copernicus.eu support of policy users Ozone layer Radiative forcings Bottom-up Solar radiation and UV index emissions and Global analyses, forecasts and surface fluxes of reanalyses (2003-...) greenhouse gases
Wachsende Nutzung von CAMS Daten Atmosphere Monitoring Plumelabs Breezometer ~ 500,000 downloads Millions of users through their Apps and Google interface Euronews ~ 18 million viewers National AQ forecasts in Q2/2018 Millions of viewers
Neuigkeiten : Globales CAMS system: Atmosphere Monitoring • CAMS Reanalyse 2003-2017/18 complete (80 km, 60 level) – Assimilation of NO2, Ozon and AOD retrievals – Improved temporal consistence compared to MACCRA and CAMSintRA • Assimilation/Monitoring of Sentinel 5P retrievals in NRT forecasts – Ozone, NO2 and CO • Development efforts : – Nitrate aerosol in globalen CAMS system (Sommer 2019) – Improved PM2.5 (PM10) Diagnostics – Prognostic aerosol and ozone in IFS radiation scheme – Optimisation of anthropogenic emission for NRT forecast
Einfluss der NO2 Assimilation (GOME-2, OMI, SCIA) auf Trends in der CAMSRA Atmosphere Monitoring NO2 total column over East Asia from the CAMS-RA (red), the control run (cyan, no composition DA) the CAMS interim RA (blue). Only the CAMS RA (NO2 assimilation) shows a decrease of mean NO2 after 2013.
Hohe Aufloesung (7km) und Abdeckung der TROPOMI Daten (S5P) Atmosphere Monitoring TROPOMI TROPOMI super-obbed to T511 Model resolution: 40 km x 40 km (T511) GOME-2A GOME-2B OMI
Globale Vorhersagen der Luftguete(China) Atmosphere Monitoring NO2 O3 PM10 But worst for PM2.5 Brasseur et al. 2018 GMD
Erste Schritte zu Optimierung der Emissions (Beispiel CO) Atmosphere Monitoring Ensemble mean of emissions • First tests with 25 members EDA (T159) with perturbed emissions • LinCO scheme (Cariolle and Massart, 2014) Free run • MOPITT and IASI TCCO assimilated • May-June 2017 • Linear regression between the increments and emissions at each outer loop for each ensemble member Emission increment Inversion • Looks promising • Validation with independent data to follow Credits: J. Barré Inv - free
Neuigkeiten : Regionales CAMS system: Atmosphere Monitoring • CAMS Regional policy products: – NRT services to show emission scenarios and source attribution – Assessment report 2016 and interim assessment report 2017 • CAMS NRT Products: – New: Ragweed Pollen (beifußblättrige Ambrosie) – 0.1 grad horizontal resolution – 2 (+2) more regional models in ensemble : DEHM (Daenemark), GEM-AQ (Polen)
Zeitnahe Emissionsszenarien und Atmosphere Herkunftsanalysen Monitoring /CAMS_ACT.html /SourceContribution.html http://policy.atmosphere.copernicus.eu
Ambrosia Pollen Vorhersage Atmosphere Monitoring CAMS daily maximum forecast While many people regard spring 4 September 2018 as prime pollen season, one type of pollen wreaks havoc in the late summer and fall. Ragweed pollen usually reaches peak levels in mid- September; this type of pollen can cause seasonal allergic rhinitis.
Neue Regionale und Globale Atmosphere Emissionsdaten Monitoring • New global Emissions data (CAMS-GLOB) – Anthropogenic, natural and biogenic (including CO2 and CH4) – Emissions from 2000 to 2018, based on EDGARv4.3.2 (2000-2012)and CEDS (IPCC AR6 emissions) from 2000 to 2014 – 0.1 resolution • New regional European emission inventory (CAMS-REG) – 2000-2015 including CO2 and CH4 – Larger domain, 0.1 resolution – Improved shipping emissions • CAMS-GLOB and REG emissions available from ECCADA website • GFAS fire emissions (0.1 degree resolution) – Update to hourly emission data (currently daily)
Neue Regionale und Globale Emissionsdaten Atmosphere Monitoring
Geforderte CAMS Nuttzer Anwendung Atmosphere • Funding for small companies to develop business case using CAMS Monitoring data • 2 batches of tenders (2017 / 2018) • Main application area: – Presentation of CAMS AQ forecast for general population in specific areas via mobile apps – Presentation of CAMS AQ data for specialist user such as local authorities or aviation industry – Merging of CAMS data with additional information such local land use for targeted buissness
CAMS Nuttzer Anwendung Atmosphere Monitoring 2017 2018 • City-scale air quality forecasts for Brno • A user driven operational particulate • Environmental information for tourists in matter source apportionment Greece application for cities • Support for roof-top solar panels • ATMOSYS-CAMS for India • Pollen and UV forecasts for Toulouse • Aircraft Support & Maintenance • Air pollution, pollen and UV forecasts for Services Riga • Urban tool for air quality • Emission scenario support tool for • Global Air Quality forecasting for Bratislava urban areas • Personal pollen allergy forecasting system • Delivering risk maps for respiratory Baltic countries disease to help health sector • Air quality toolbox decision-makers
DiscovAIR - tourism Atmosphere Monitoring DiscovAir provides location-specific, personalised advice and alerts for comfort and health in terms of weather and environmental conditions. DiscovAir enhances your trips, travels and days out. CAMS European air quality forecasts are used to provide the up-to-date information on air pollution, pollen, UV and dust.
DiscovAIR: Business model Atmosphere Monitoring Business model: • Users: tourists & citizens, tourism operators and public authorities • Revenues through premium version of smartphone app and advertising on mobile and web apps. • Intention to expand the product beyond the borders of Greece and Cyprus.
Data Access Atmosphere Monitoring • Global and regional products via: – https://atmosphere.copernicus.eu/data – Knowledge base and user support – Real time access info: – https://confluence.ecmwf.int/display/CKB/FTP+access+to+CAMS+global+data – Regional products: – http://www.regional.atmosphere.copernicus.eu/ • Emissions: http://eccad.aeris-data.fr/ • Atmosphere Data Store (from summer 2019) – CAMS version of CDS (climate data store) – Harmonised data access and toolbox (see CDS, python, extraction, processing and visualisation) – “Software as a service” concpet • DIAS (Data and Information access system) – Cloud computing & data access via ADS/CDS – WEkEO (Eumetsat, ECMWF, Mercartor) – Prototype, some CAMS data
Mon Toit Solaire: Business model Atmosphere Monitoring Business model: • Free for users (landlords, citizens) • City authorities pay set-up and maintenance fees • Local PV installers pay a broker percentage for being included in the service web site • Stimulate the use of solar PV panels on rooftops in the city as part of green energy strategy
Atmospheric Composition in the IFS Atmosphere Monitoring NWP model Dynamic, physics, transport ECMWF’s Integrated Forecasting System (IFS)
Hohe Aufloesung (7km) und Abdeckung der TROPOMI Daten (S5P) Atmosphere Monitoring TROPOMI tropospheric NO2 CAMS tropospheric NO2 column (cloud free) (Level 35-60) Model resolution: 40 km x 40 km (T511)
Marco Polo / Panda Project Atmosphere Monitoring NO2 Ozone PM2.5 Ensemble of regional model forecasting air pollution in East China Brasseur et al. 2018 GMD
2018 CAMS Nutzer Anwendungen Atmosphere Monitoring • A user driven operational particulate matter source apportionment application for cities • ATMOSYS-CAMS for India • Aircraft Support & Maintenance Services • Urban tool for air quality • Global Air Quality forecasting for urban areas • Delivering risk maps for respiratory disease to help health sector decision-makers
Mon Toit Solaire – solar energy Atmosphere Monitoring Mon Toit Solaire provides a web-based decision support system for the development of rooftop photovoltaic solar panels. CAMS provides the satellite-based time series of available solar radiation for the specific location, taking into account the amount of clouds and aerosols.
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