We are pleased to announce the launch of two new ATMO-ACCESS Virtual access services.
DiscoverIAGOS viewer of potential source regions (FLEXPART footprints) and modelled SOFT-IO CO contributions for CO observed by commercial aircrafts.
IAGOS is a European Research Infrastructure for global observations of atmospheric composition from commercial aircraft. With a new ATMO-ACCESS service you can now easily explore tropospheric vertical profiles of IAGOS CO measurements, spot for CO anomalies and try to explain them using an accompanying FLEXPART footprint and source attribution data provided by SOFT-IO model. Available data span over 20+ years and airports all over the world!
This is a sample view of the service dashboard. The case of CO anomaly in the free troposphere (FT) (between 3 and 8 km) over Frankfurt airport is investigated. In the upper-right panel, time-series with IAGOS CO observations (black line) and modeled SOFT-IO CO contributions (coloured line) from biomass burning emissions (GFAS v1.2), both averaged in the FT, are shown. The vertical line crossing both plots identifies an IAGOS profile, from 5th of June 2023, presented in detail in the two graphs below: in the bottom-left the full vertical profile of IAGOS CO measurements, their 5-year average and SOFT-IO modelled CO contributions are plotted; in the bottom-right, a 10-day backward footprint of the FT layer over Frankfurt (calculated by the FLEXPART Lagrangian particle dispersion model) is visualised. The transport analysis points to a potential contribution of BB emissions from North America.
DiscovertheTime series analysis service for rapid exploration, visualisation and statistical analysis of long-term time series with essential climate variables
This new service provides users with simple, unified access to long-term time series of atmospheric in-situ observations produced by ACTRIS, IAGOS and ICOS since several decades. The service provides a variety of on-line tools for browsing available time series, visual data exploration and their statistical analysis (including calculation of basic statistical metrics, such as monthly means and standard deviations, percentiles, etc. trend estimation and more).
After selecting essential climate variables and measurement platforms of interest, a user can browse through time series containing observations of the variables she/he chose to explore. With a single click each time series can be visualised in order to refine selection of datasets for futher analysis. An example of the exploratory analysis of time series with the CO2 and CH4 mixing ratios, where 5th, 50th and 95th seasonal percentiles where calculated. The original time series are 1-hour resolution observations by ICOS performed at Schauinsland platform at 35m a.g.l.An example of the trend analysis of time series with daily means of CO mixing ratios above Frankfurt airport measured by IAGOS wihtin the surface layer (<500m a.g.l) and hourly CO2 mixing ratios observed by ICOS at Schauinsland platform at 35m a.g.l. Prior to the trend estimation, the time series were aggregated by calculating weekly means, and a seasonal component was removed (see the options in the left panel). Finally, the trend was estimated using Theil-Sen slope method.
