ECMWF | Reading | 10-13 June 2019
Workshop description
This workshop aimed to strengthen the links between observational campaigns and Numerical Weather Prediction (NWP) to (1) help observational campaigns optimise their use of forecasts and knowledge of forecast errors and (2) help NWP system development make better use of observational campaign data. Forecast errors in NWP, such as in the ECMWF forecast system, often motivate field campaigns, and forecasts are used in many ways during these campaigns. This workshop invited experts involved in recent or future campaigns that have made or will make use of ECMWF data to share their experiences and provide feedback on their use of ECMWF forecasts. The process of campaign planning, diagnostics and improved understanding of model errors, and ultimately the improvement of NWP systems were key themes of the workshop.
ECMWF supports observational campaigns with real-time forecasts, and also with special forecasts with additional output and products. Campaigns are taking place all over the globe from the polar regions to the deep tropics, where the scientific motivation can be very different. However, regardless of the scientific scope, field campaigns share many aspects of using ECMWF forecasts and these will be discussed during this workshop.
Key questions that were addressed:
- How are field campaigns making use of ECMWF data, for defining questions, flight planning, choice of period, etc.? Are there any obstacles to the use of this data?
- How is NWP development making use of observational campaign data? Can we identify concrete examples of model or forecast improvement based on past campaigns?
- How can observational campaigns help us identify and diagnose problems in models, observation operators, etc.?
- How can knowledge and diagnosis of NWP problems help define future field campaigns? What gaps in knowledge could future campaigns address?
- What diagnostic tools can help improve the links between observational campaigns and NWP development? How can these tools be improved?
- How can observational campaigns learn from each other in terms of their usage and diagnosis of ECMWF forecasts?
- What can ECMWF do to optimize the utility of data and modelling capabilities to support observational campaigns?
Presentations and recordings
Monday 10 June 2019
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Opening and welcome |
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How ECMWF supports field campaigns |
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From Models to Data |
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Airborne active remote-sensing observations of the extratropical troposphere and lower stratosphere with a special focus on the NAWDEX field experiment |
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Experiences from Arctic field campaigns: Weather forecasting and evaluations, and model comparisons |
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Synergetic use of field campaign observations and detailed simulations to improve NWP models at Météo-France |
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Application of Ensemble-based Sensitivity to ECMWF Ensemble Forecasts in Field Campaigns |
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Observations to operations in the Met Office Unified Model |
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How ARM/ASR observations have contributed to ECMWF model development |
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Operational briefing |
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Tuesday 11 June 2019
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Is it time for interactivity and 3D? New approaches to analysing NWP data for observational campaigns using 3D and ensemble visualization |
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Diagnosing Forecast Sensitivity for Field Campaigns using Adjoints |
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Impact assessment approaches for field campaign data |
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Learning about clouds and circulation during EUREC4A |
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Cloudy boundary layers over the Northeast Pacific and Southern Ocean: Field observations and ERA5 |
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Field Experiments for NWP: The LITFASS Experience |
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FESSTVaL: Field Experiment on sub-mesoscale spatio-temporal variability in Lindenberg |
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RALI: the French radar-lidar airborne platform for cloud dynamics and microphysics studies |
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Examples of targeted high-altitude airborne dropsonde deployment strategies for improved tropical cyclone and winter storm prediction |
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Upper Ocean Data Collection during Operational Hurricane Reconnaissance Missions |
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New observational strategies for operational global and hurricane model improvements using airborne Tropical Cyclone and Winter Storm surveillance flights |
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Analysis and forecast using dropsonde data from inner-core region of tropical cyclones obtained during the aircraft missions of T-PARCII |
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Wednesday 12 June 2019
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The impact of dropsonde and extra radiosonde observations from the field campaigns NAWDEX and SHOUT in 2016 |
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Atmospheric River Reconnaissance to Improve Forecasts: Needs, Approach and Underlying Science |
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The gauging and modelling of rivers in the sky |
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Forecast products for flight planning from a researchers' perspective |
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Comparison between airborne remote sensing observations of an extratropical cyclone and short-term forecasts using a hierarchy of models. |
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ASKOS-WIND – A Contribution to the Aeolus CAL/VAL Campaign in Cape Verde in June-July 2020 |
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Improving NWP models with observations from the Iceland Greenland Seas Project |
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What will happen during YOPP SOP3? |
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Arctic Clouds - Evaluating Modelled Cloud with Field Observations |
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YOPP supports the Japanese Arctic research cruise in 2018 |
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Thursday 13 June 2019
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TEAMx: A coordinated effort to investigate transport and exchange processes in the atmosphere over mountains |
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Global forecasts of atmospheric gravity waves for observational campaigns |
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The Strateole-2 long-duration balloon project in the deep tropics: benefiting from and improving weather forecasts? |
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The CNES stratospheric balloon activities: capabilities, mission and operations |
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Saildrone: A global class Unmanned Surface Sailing Vehicle for air-sea interaction observation and its potential as a reliable data source for NWP models |
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Posters
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Assessing the predictability of mesoscale precipitation processes in landfalling atmospheric rivers using AR Recon dropsonde observations |
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Impacts of Dropsonde Observations on the Predictability of Landfalling Atmospheric Rivers |
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Field Campaign Support by the NCAR Earth Observing Laboratory |
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Potential Contributions of Airborne Radio Occultation Observations in Field Campaigns to Forecast Improvement of Hurricanes and Atmospheric Rivers |
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Forecast Informed Reservoir Operations (FIRO): Supporting Forecast Improvements through Targeted Data Collection |
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Ensemble Forecast Sensitivity to Observations (EFSO) technique for global observing system experiments (OSEs) |
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Organising committee
Linus Magnusson (Tropical cyclone diagnostics)
Irina Sandu (Development of model parameterisations)
Emma Pidduck (Data Services)
Mark Rodwell (Diagnostics of convection/predictability)
David Lavers (Diagnostics of atmospheric rivers)
Mohamed Dahoui (Observation usage in data assimilation)
Jonathan Day (Diagnostics of Arctic processes)