2021 EUMETSAT Conference

EUMETSAT Meteorological Satellite Conference 2021

Virtual Edition 20-24 September 2021

Watch the recordings from the conference! Registered conference participants have access to all content on the virtual platform, using their personal login credentials.

2021 EUMETSAT Conference
2021 EUMETSAT Conference

The 2021 EUMETSAT Meteorological Satellite Conference took place virtually from 20 to 24 September. EUMETSAT was joined in the organisation and hosting of the event by the National Meteorological Administration, the national provider for weather and climate services in Romania.

Last Updated

09 November 2021

Published on

14 December 2020

Due to the ongoing COVID-19 restrictions, the 2021 EUMETSAT Meteorological Satellite Conference took place virtually from 20 to 24 September 2021. EUMETSAT was  joined in the organisation and hosting of the virtual conference by the National Meteorological Administration, the national provider for weather and climate services in Romania.

The 2021 conference discussed such topics as status of meteorological satellite systems and future evolutions, the impact of satellite data in nowcasting and short-range NWP (joint session with ECMWF), agrometeorology, oceanography, greenhouse gases monitoring, and evolving data services.

Special plenary sessions covered the following topics:

  • Satellite data, weather forecasting and warnings within the National Meteorological Satellite Administration of Romania – past, present & future.
  • EUMETSAT data in Romania: actual and potential use and users.
  • Preparing for MTG and EPS-SG: from organisational to technical readiness.
  • Early Career Scientists special event.
  • The current and future impact of satellites for NWP (joint with ECMWF).
  • First results from Sentinel-6 Michael Freilich.
  • The EUMETSAT SAF Network: Preparing for the future.

Watch the recordings from the conference

Registered conference participants have access to all content on the virtual platform. Please click on this link and use your personal credentials to access the platform.

Interactive conference programme

Please consult the interactive conference programme for an overview of the presentations.

Early career scientists

EUMETSAT believes in fostering the scientists of the future and as such, we are pleased to announce our early career scientist initiative in 2021. Applications are open from anyone aged 32 or younger who have up to 24 months of job experience. Eligible papers should cover any use and application of EUMETSAT satellite data along the main themes of the conference.

The Scientific Programme Committee select the five papers that received an award this year, consisting of travel funding and free conference participation for the 2022 EUMETSAT Meteorological Satellite Conference in Brussels, Belgium. We congratulate the award winners:

Rimal Abeed, LATMOS-IPSL, pre-recoreded oral presentation in session 5: “The effects of the Syrian civil war on atmospheric ammonia as seen from IASI.”

Hélène de Longueville, Université Libre de Bruxelles, live oral presentation in session 7: “Detecting and assessing trends of CFCs and substitutes from IASI measurements.”

Christopher Diekmann, Karlsruhe Institute of Technology, live oral presentation in session 7:  “Analysis of stable water isotopes in tropospheric moisture during the West African Monsoon.”

Bo Huang, CIU/CRES and NOAA/ESRL/GSL, pre-recorded oral presentation in session 4: “Assimilating aerosol optical depth retrievals from VIIRS to improve global aerosol forecasts in the NOAA’s UFS-GOCART model.”

Peter Levens, Met Office, pre-recorded oral presentation in session 4: “Transformed retrievals of IASI observations at the Met Office.”

Session topics

Whether on an urban or planetary scale, covering time scales of a few minutes or a few decades, the societal need for more accurate weather, climate, water, and environmental information has led to a more seamless generation and delivery of weather and climate services.

This challenge, at the intersection of technology, science and society’s need, is calling for an even more important role of space agencies in shaping the future observational backbone.

The 2021 EUMETSAT Meteorological Satellite conference intends to convene communities working across observational science, earth system prediction, sectorial applications and emerging technologies. The overarching questions that guided our interactions are:

  • Could we further explore user’s needs and envisage future requirements?
  • What are the scientific breakthroughs that will change the way we measure and predict the Earth System?
  • What are the new scientific/technical projects space agencies should invest on?
  • What are the barriers for future exploitation of remote-sensing data?

Session topics at a glance

In this session we invite contributions on the status and plans for current and upcoming meteorological satellite systems. Contributions on innovative missions and new satellite and constellation concepts responding to evolving user needs are particularly welcome. Those satellite and constellation concepts taking advantage of new technology of smaller satellites and/or seeking an optimal deployment of sensors are also welcome.

We invite contributions on early results from the Sentinel-6 Michael Freilich data, including both the altimetry and radio-occultation missions. In particular, we welcome abstracts in the following areas:

  1. Calibration/Validation
  2. Continuity and/or synergy with pre-cursor missions
  3. Early assessment on the value of this mission for the different applications, covering ocean climate and dynamics, geodesy, operational oceanography, marine meteorology and numerical weather prediction.

We invite contributions on developments that advance nowcasting, very short-range NWP and blended methods in anticipation of new-generation meteorological satellite data from the MTG and EPS-SG programmes. User perspectives on the transition from MSG/EPS to MTG/EPS-SG are welcome in this session, such as from forecasters, trainers, and application developers. The session also features other developments supporting the weather forecasting value chain of the future, such as radiative transfer methods, product developments including from SAFs, and processing and visualisation tools. 

Global and regional Numerical Weather Prediction (NWP) are among the key applications for the use of satellite data. Current polar orbiting satellites, like EPS, and its future evolution, EPS-SG, are a fundamental data source for NWP. In this session, we welcome papers discussing:

  • The use of satellite observations to improve numerical analyses that provide initial conditions for NWP models, including machine learning methods.
  • Using satellite observations for improving NWP models.
  • Novel assimilation techniques and future evolution of assimilation systems.
  • Treatment of the observation and model uncertainties in the NWP models.
  • Satellite data impact studies, impact assessments of different types of satellite observations.
  • Overview of the issues and developments of satellite data assimilation.
  • Proposed improvements in the handling of contaminations (e.g. cloud, aerosols) in satellite measurements.
  • Assessment of gaps/additional needs in satellite data in support to NWP.
  • NWP verification studies and impact-assessment methods.

In this session we welcome abstracts on the use of satellite based data for applications in agriculture, drought and hydrology. This includes but is not limited to the analysis of extreme events based on droughts and water scarcity indicators or case studies assessing the impact of climate change. The presentation can be on completed studies or ongoing studies, applications in use or under development as well as new ideas you may want to discuss, which make use of satellite based data provided by EUMETSAT, the SAFs or other providers. The focus of the presentations should be on the experiences made with the satellite data, such as the added value they bring to the project or the application. Discussions about challenges encountered as well as suggestions for improvements on the data, the way the data are provided or gaps in the satellite product portfolio are welcome.

We also welcome presentations from data providers on new and upcoming products for use in agriculture, hydrology and related fields.

This session will be dedicated to the use of operational satellite products for marine meteorology applications.

In particular, we welcome abstracts on the following topics:

  • Gaps in observations, development of new satellite products.
  • Data assimilation, numerical models including coupled atmosphere-ocean-ice models.
  • Coastal challenges.
  • Uncertainties and errors, use of Fiducial Reference Measurements.
  • Synergistic approaches to improve forecast systems.

Changes of the climate system with adverse effects on our societies are pervasive and observed. Risks by the end-of-century (2081-2100) will be larger under high greenhouse gas emission scenarios, compared with low emission scenarios. Mitigation policies remain vital to contain global emissions and the magnitude of climate change in the long-term. Risks need to be managed through suitable local adaptation policies. The role of systematic observations and their usage attains increased importance for monitoring collective progress towards achieving the purpose of the Paris Agreement and its long-term goals. Within this context we invite contributions on:

  • Evolving climate application needs for satellite data, including Climate Services.
  • Usage of satellite data in the context of mitigation and adaptation, including greenhouse gas emission monitoring.
  • Usage of satellite data in global and regional reanalysis, for better climate process understanding, in climate modelling, including quality evaluation and model improvements.
  • Satellite climate data from improved data rescue, re-calibration, uncertainty quantification, retrieval science, etc.

Session 8 will focus on Air Quality (AQ) from space and the contribution of satellite data derived from operational and forthcoming sensors. 

Contributions are invited with findings from ongoing or completed projects, new ideas on

  • AQ monitoring techniques exploiting observations from sensors hosted on different satellite platforms type (LEO/GEO) together with analysis of the achievable information content.
  • Satellite data in AQ prediction models and their impact on the accuracy of these systems.
  • Satellite-based observations needs and methods leading to improvements in current AQ monitoring and forecasting capabilities.
  • Satellite data direct use / synergistic approach with data from other sources (models, in-situ) in downstream AQ service solutions or in tools for AQ Decision Support Systems.

In recent years, there has been increasing use of machine learning, and in particular so-called deep learning, in Earth system science. A plethora of machine learning methods are being tested to address problems of weather, air quality and climate prediction, such as the representation of unresolved processes in numerical models, the calibration of forecasts produced with numerical models and the production of forecasts based on data and machine learning methods only. Machine learning can be applied across the weather/climate value chain: for the generation of information (observations and their infrastructure, assimilation, modelling, forecasting), post-processing (the generation of products and suitable interfaces), and the dissemination of predictions to users and the perception and decision-making. Recent European initiatives, such as Destination Earth, will further enhance the development of machine learning applications.

Where do& you see the most promising applications of machine learning techniques to satellite data in the weather/climate value chain?

  • Better observations: recover gaps or detect errors in satellite data; improve radiative transfer models; integrate calibration and validation, reconstruct long-term monitoring, use or fuse internet-of-things data...
  • Integration: generate ensembles, improve data assimilation, reduce computational cost...
  • Prediction: nowcasting, short term forecasting, uncertainty quantification...
  • Products: identify convective system identification, detect forest fires, atmospheric rivers or tropical cyclones, bias correct products, provide uncertainty range...

Including the Special Event:  Exploring the future activities of the Satellite Application Facilities (SAF) through the 4th Continuous Development and Operations Phase.

With the contribution of:

CGI Deutschland B.V. & Co. KG
HE Space Operations GmbH
Kongsberg Defence & Aerospace AS
Serco Services GmbH