Masterclass | The Role of Data Assimilation in Forecasting and Reanalysis
LOCATION
Data assimilation provides Earth system models a route to incorporate information from the extensive network of observation instruments. In this way, data assimilation is crucial to the skill of modern-day numerical weather prediction and is also essential for reconstructing historical weather systems in the form of reanalyses.
The theory of data assimilation is based on applying Bayes' theorem to the Earth system. To efficiently solve Bayes' theorem, various data assimilation algorithms have been proposed, each making different assumptions about the error characteristics of the model and observations.
In this lecture, I will provide a brief introduction to the main data assimilation algorithms. We will discuss their advantages and limitations within the context of the challenges in the advancing field of numerical weather prediction and reanalysis. These challenges include the increasing resolution of models, the growing number of components of the Earth system being modelled, and the greater variety of instruments being used.
Speaker
Dr Alison Fowler
Alison is a National Centre for Earth Observation Research Fellow based at the University of Reading. She has over 15 years of experience in the development of data assimilation theory and its application to a variety of environmental challenges. In close collaboration with the Met Office, her recent work includes the development of metrics to help establish new observation networks and the quantification of observation uncertainty to improve the assimilation of existing observations.
Before joining the University of Reading to study for a PhD in Meteorology, Alison obtained a BSc in Mathematics and an MRes in Physics of the Earth and Atmosphere from the University of Leeds.
Responder
Erik Andersson
Erik Andersson has a PhD in Atmospheric Sciences (dynamic meteorology) from Stockholm University. He worked a long and varied career at the European Centre for Medium-Range Weather Forecasts (ECMWF) located in Reading, UK.
He was the Head of the ECMWF Data Assimilation Section for a period of 8 years, and for a time thereafter he was responsible for ECMWF's operational forecasting systems.
Erik started his career as weather forecaster in Sweden, then transitioned to meteorological research and development by taking up a scientist position at ECMWF in 1987, in charge of the development of ECMWF's data assimilation system from 2000-2008. He now retains a keen interest in the various observing systems required for numerical weather prediction (NWP), both satellite instruments and surface-based networks. He has been deeply involved in establishing ECMWF as the operator of the Copernicus Climate Change Service and the Copernicus Atmosphere Monitoring Service on behalf of the European Commission. In his current role as part-retired consultant he contributes to the WMO activities to promote global exchange of key observational data e.g. for NWP and climate reanalysis.
Registration
REGISTRATION IS NOW OPEN.
Registration for this event is available Virtually only.
Members
If you are a member of the Society and have an account already, please log in to your account before your register. If you are a member and don’t have an account set up already, you will need to create an account. Your username is the email address that is linked to your membership.
Non-Members
If you are not a member of the Society you will need to create an account in order to register for events.
Once you have created an account, you will be required to log in each time you would like to register for an event. You will also have access to a Dashboard area that will show which events you have registered for and past events you have attended.
Any information you provide to us will only be used by The Royal Meteorological Society and appointed representatives.
This meeting is part of the Royal Meteorological Society Meetings programme, open to all, from expert to enthusiast, for topical discussions on the latest advances in weather and climate. Free to attend. Non-members are welcome.
A copy of our terms and conditions can be found here.
If you have any queries with regards to this event or require any further information please contact us at meetings@rmets.org.
Notice of audio / video recording of RMetS Meetings and Events - By attending this meeting, you are agreeing to be part of the Society’s broadcast. Please could audience members refrain from giving their name and institution during questions at ALL Society (National, Local and SIG) meetings that are being recorded or streamed. Videoing will be restricted to speakers.
The RMetS strives to host inclusive, accessible events that enable all individuals, including individuals with disabilities, to engage fully. If you would like to discuss accessibility or request accommodations please contact conferences@rmets.org.
We take data privacy seriously. Please read the RMetS privacy policy to find out more.
Masterclass Series Abstract
Continuing its online Meteorological Masterclasses in partnership with the University of Reading, the Society is pleased to announce a new series for Autumn 2024.
During this series, three leading experts from the University of Reading will discuss the latest scientific advances for understanding and predicting weather, climate, and its impacts.
These masterclasses are intended to provide support for professionals working in Meteorology and Climate Science, and its operational applications who wish to remain up to date on recent scientific developments in the field.
Data assimilation provides Earth system models a route to incorporate information from the extensive network of observation instruments. In this way, data assimilation is crucial to the skill of modern-day numerical weather prediction and is also essential for reconstructing historical weather systems in the form of reanalyses.
The theory of data assimilation is based on applying Bayes' theorem to the Earth system. To efficiently solve Bayes' theorem, various data assimilation algorithms have been proposed, each making different assumptions about the error characteristics of the model and observations.
In this lecture, I will provide a brief introduction to the main data assimilation algorithms. We will discuss their advantages and limitations within the context of the challenges in the advancing field of numerical weather prediction and reanalysis. These challenges include the increasing resolution of models, the growing number of components of the Earth system being modelled, and the greater variety of instruments being used.
Speaker
Dr Alison Fowler
Alison is a National Centre for Earth Observation Research Fellow based at the University of Reading. She has over 15 years of experience in the development of data assimilation theory and its application to a variety of environmental challenges. In close collaboration with the Met Office, her recent work includes the development of metrics to help establish new observation networks and the quantification of observation uncertainty to improve the assimilation of existing observations.
Before joining the University of Reading to study for a PhD in Meteorology, Alison obtained a BSc in Mathematics and an MRes in Physics of the Earth and Atmosphere from the University of Leeds.
Responder
Erik Andersson
Erik Andersson has a PhD in Atmospheric Sciences (dynamic meteorology) from Stockholm University. He worked a long and varied career at the European Centre for Medium-Range Weather Forecasts (ECMWF) located in Reading, UK.
He was the Head of the ECMWF Data Assimilation Section for a period of 8 years, and for a time thereafter he was responsible for ECMWF's operational forecasting systems.
Erik started his career as weather forecaster in Sweden, then transitioned to meteorological research and development by taking up a scientist position at ECMWF in 1987, in charge of the development of ECMWF's data assimilation system from 2000-2008. He now retains a keen interest in the various observing systems required for numerical weather prediction (NWP), both satellite instruments and surface-based networks. He has been deeply involved in establishing ECMWF as the operator of the Copernicus Climate Change Service and the Copernicus Atmosphere Monitoring Service on behalf of the European Commission. In his current role as part-retired consultant he contributes to the WMO activities to promote global exchange of key observational data e.g. for NWP and climate reanalysis.
Registration
REGISTRATION IS NOW OPEN.
Registration for this event is available Virtually only.
Members
If you are a member of the Society and have an account already, please log in to your account before your register. If you are a member and don’t have an account set up already, you will need to create an account. Your username is the email address that is linked to your membership.
Non-Members
If you are not a member of the Society you will need to create an account in order to register for events.
Once you have created an account, you will be required to log in each time you would like to register for an event. You will also have access to a Dashboard area that will show which events you have registered for and past events you have attended.
Any information you provide to us will only be used by The Royal Meteorological Society and appointed representatives.
This meeting is part of the Royal Meteorological Society Meetings programme, open to all, from expert to enthusiast, for topical discussions on the latest advances in weather and climate. Free to attend. Non-members are welcome.
A copy of our terms and conditions can be found here.
If you have any queries with regards to this event or require any further information please contact us at meetings@rmets.org.
Notice of audio / video recording of RMetS Meetings and Events - By attending this meeting, you are agreeing to be part of the Society’s broadcast. Please could audience members refrain from giving their name and institution during questions at ALL Society (National, Local and SIG) meetings that are being recorded or streamed. Videoing will be restricted to speakers.
The RMetS strives to host inclusive, accessible events that enable all individuals, including individuals with disabilities, to engage fully. If you would like to discuss accessibility or request accommodations please contact conferences@rmets.org.
We take data privacy seriously. Please read the RMetS privacy policy to find out more.
Masterclass Series Abstract
Continuing its online Meteorological Masterclasses in partnership with the University of Reading, the Society is pleased to announce a new series for Autumn 2024.
During this series, three leading experts from the University of Reading will discuss the latest scientific advances for understanding and predicting weather, climate, and its impacts.
These masterclasses are intended to provide support for professionals working in Meteorology and Climate Science, and its operational applications who wish to remain up to date on recent scientific developments in the field.
