Integrating in-situ, satellite and model components for improved environmental assessment
Lead: Jean-Daniel Paris and Kathy Law, CNRS
The objectives of this WP are:
- to address measurement challenges by developing new proxies and quality assurance approaches for
atmospheric aerosols, - to support Arctic applications of atmospheric transport models by reinforcing meteorological data
through the enhanced capability of satellite validation using new methodologies at the convergence of in
situ satellite and models, and adapted to the Arctic, - to establish integrated in-situ - satellite - model approaches to estimate pollution and short-lived climate
forcers sources in the Arctic, using a combination of campaign and long term measurements and
atmospheric chemical transport models, - to develop new impact assessment methodologies for pollutants in Polar regions that exploit combined
streams of enhanced information and to explore exposure and impact of pollutants under alternative
resource exploitation scenarios.
In order to improve our understanding of Arctic pollution and its impacts, and to enhance availability of timely information to the public and to policy makers through GEO and Copernicus, integrated methodologies adapted to the specificities of the Arctic challenges are required that can operate a smart convergence of data streams of in situ and satellite measurements. Such approaches will require enhance data processing and analysis capability, satellite validation capability for the Arctic, as well as robust Earth system models and assimilation approaches. WP4 aims to develop methodologies for the integration of in situ measurements, satellite data and models for improved environmental assessment of Arctic pollutants
Tasks, related deliverables and milestones of WP 4:
- Task 4.1 Novel quality assurance methods, proxies and observables related to aerosols, mixing layer and biosphere parameters (lead: Pauli Paasonen, UHEL)
D 4.1.1 A blueprint for novel proxy variables integrating in-situ and satellite remote sensing data with a
exemplary dataset (M29)
D 4.1.2 Pilot aerosol re-analysis data sets for SMEAR II (M32)
M 4.1.1: Identification of relevant in-situ and satellite data for proxy development (M6)
M 4.1.2: Identification of suitable case studies for combined source apportionment (M8)
- Task 4.2 Methodologies for validation of precipitation and cloud satellite products in high-latitude and Arctic regions (lead: Dmitri Moisseev, UHEL)
D 4.2.1. A validated dataset on precipitation in the Arctic (M30)
- Task 4.3 Sources and sinks and transport of Arctic pollution determined from an integrated analysis of in-situ and satellite data (lead: Jean-Daniel Paris, CNRS-LSCE and Kathy Law, CNRS-LATMOS)
D 4.3.1 A dataset of validated aerosol vertical profiles from ground-based and satellite observations above selected sites in Finland and Siberia (M24)
D 4.3.2 Report on evaluation of local pollution sources in the Eurasia Arctic based on integrated data analysis and modeling (M32)
- Task 4.4 Impact assessment and future exposure scenarios of pollutants in the Arctic (lead: Matthew MacLeod, SU)
M 4.4.1: Enhanced PMCAMx and BETR Global ready (M26)