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DA-TT meeting – May 2023 (Rome)

The Data Assimilation-Task Team (DA-TT) fosters the development and evaluation of data assimilation systems relevant to OceanPredict to support the coordination of the fundamental and challenging issues in the ocean forecasting process, of which data assimilation is a significant part.

The meeting aims to bring together experts in the field of ocean and coupled data assimilation (DA) to discuss the latest progress and challenges in the field, and to share experiences in the development of ocean/coupled data assimilation from the underlying algorithms to the details of implementation in operational forecasting systems. Overarching topics of discussion include:

  • How to improve integration of ocean DA developments in operational forecasts and demonstrate the impacts on ocean and coupled forecasts.
  • How to contribute to the UN Decade for Ocean Science. Examples include the role of DA in digital twins, ocean best practices, and the evaluation and design of ocean observing systems. Should the DA-TT organise its own contribution to the UN Decade?
  • How to link better with the WMO community and other external groups. Examples include the input of ocean observation requirements to WMO, links to the DAOS working group, and links to the ISDA.

 

The detailed agenda for the DA-TT meeting can be downloaded from this page. Please find poster information enclosed at the end of the agenda.

A general agenda overview for all 3 meeting days is provided below:

 

Tuesday 9th May – link to meeting recordings (YouTube) Presenters Chairs/ rapporteurs
Theme 1. Advances in DA methods (ensembles, algorithms, machine learning, downscaling, …) – Part 1 Usui (JMA-MRI) and Moore (USCS) : Theme 1 – part 1

1.1. and 1.2

Theme 1 chairs: Weaver, Martin
Poster presentation overviews (3 minutes/1 slide each) +

Theme 1 – Part 2

Poster presenters (Vidard, Matranga, Ying, Garcia-Oliva, Li and Gao)

Ying (NERSC) and Barthelemy (Uni of Bergen) : Theme 1 – part 2

1.3 and 1.4

Discussion session on topic 1: How to improve integration of ocean DA developments in operational forecasts and demonstrate the impacts on ocean and coupled forecasts. +

Theme 1 – Part 3

Discussion

Brankart (CNRS) and Testut (MOi) : Theme 1 – part 3

1.5 and 1.6

Theme 1 – Part 4 Skalala (PML) and Cipollone (CMCC) : Theme 1 – part 4

1.7 and 1.8

 

Wednesday 10th May – link to meeting recordings (YouTube) Presenters Chairs/ rapporteurs
Theme 2. Error covariance modelling (B, Q and R, hybrid approaches) Barthelemy (Uni of Berge, Goux (CERFACS) and Weaver (CERFACS) : Theme 2

2.1, 2.2 and 2.3

Theme 2 chairs: Chrust, Moore
Theme 3. Observing systems: requirements, evaluation, design and associated DA developments

+

Theme 4. Software infrastructure and efficient use of DA on HPCs

+ last part of recording

Souza (Met Services of NZ), Storto (CNR ISMAR),  Martin (Met Office) : Theme 3

3.1, 3.2 and 3.3

Arango (Rutgers University) and Nerger (AWI) : Theme 4

4.1 and 4.2

Theme 3 chairs: Storto and Sperrevik

Theme 4 chairs: Terruzi and Chrust

Discussion session on topic 2: How to contribute to the UN Decade for Ocean Science. Examples include the role of DA in digital twins, ocean best practices, and the evaluation and design of ocean observing systems. Should the DA-TT organise its own contribution to the UN Decade? Discussion
Theme 5.  Coupled Earth system DA (e.g., ocean/atmosphere/sea-ice, physics/biogeochemistry, physics/acoustics) – PART 1 Paturi (NOAA), Lea (Met Office), Stanley (CIRES/NOAA) and Akella (NASA) : Theme 5 – part 1

5.1, 5.2, 5.3 and 5.4

Theme 5 chairs: Frolov, Moore

 

Thursday 11th May – link to meeting recordings (YouTube)
Theme 5.  Coupled Earth system DA (e.g., ocean/atmosphere/sea-ice, physics/biogeochemistry, physics/acoustics) – PART 2

Theme 6. Applications of DA in operational forecasting, reanalysis systems, digital twins and climate prediction

Theme 6 – presentation 6.5 (Testut)

Terruzi, OGS, Liu, NOAA and Nerger, AWI (5.5, 5.6 and 5.7) : Theme 5 – part 2

Frolov (NOAA), Chrust (ECMWF), Storto (CNR ISMAR), Aydogdu (CMCC) and Testut (MOi) : Theme 6

6.1, 6.2, 6.3, 6.4 and 6.5

Theme 5 chairs: Frolov, Moore

Theme 6 chairs: Sperrevik, Martin

Discussion session on topic 3. How to link better with the WMO community and other external groups. Examples include the input of ocean observation requirements to WMO, links to the DAOS working group, and links to the ISDA. Discussion

The workshop will be structured around the following themes:

  1. Advances in DA methods (ensembles, algorithms, machine learning, downscaling, …)
  2. Error covariance modelling (B, Q and R, hybrid approaches)
  3. Observing systems: requirements, evaluation, design and associated DA developments
  4. Software infrastructure and efficient use of DA on HPCs
  5. Coupled Earth system DA (e.g., ocean/atmosphere/sea-ice, physics/biogeochemistry, physics/acoustics)
  6. Applications of DA in operational forecasting, reanalysis systems, digital twins and climate prediction. 

 

Abstracts that address any of the following topics will be particularly welcomed:

  1. Data assimilation developments for global, regional and coastal systems
  2. Ensembles methods: their generation, assessment, and use in data assimilation
  3. Algorithm development in support of data assimilation
  4. Hybrid data assimilation methods
  5. Coupled earth system data assimilation
  6. Use of novel observations and improved use of existing observations
  7. Model error
  8. Forecast error covariance estimation and representation in DA
  9. Correlated observation errors.
  10. Application of machine learning to DA
  11. DA software infrastructure

 

 

Early Jan 2023 Call for abstracts and registration
3 March 2023 (extended) Abstract submission closed
17 March 2023 Abstract selection and agenda completed
31 March 2023 Registration deadline
9-11 May 2023 Meeting

Registration and abstract submission for the DA-TT meeting in Rome is now CLOSED.

Registration and abstract submission for the DA-TT meeting are both done through the form below. If you only want to register but not submit an abstract, just leave the respective submission form part blank.

We do not expect to charge a registration fee and costs for breaks and lunch will be kindly covered by the meeting host CNR. We plan to have a workshop dinner which will be paid for by participants.

Abstract submission deadline (extended) 3 March 2023 
Abstract selection and agenda completed 17 March 2023
Registration deadline 31 March 2023

 

 

The workshop will take place over 3 days.

The meeting will be an in-person event with presentations recorded and made available afterwards.

 

Oral presentations

The meeting will consist of oral presentations selected through the abstract submission process and organised by the themes listed below.

         Please remember to keep within the 15 min talk + 5 min questions. It is important to allow everyone time for their talks and for discussion

         Please try to address the three discussion topics in your presentations where possible/appropriate. Check topics on overview page here: https://oceanpredict.org/events/da-tt-meeting/#event-overview-and-meeting-objectives

         We are planning to record all presentations and put them on the website after the meeting. Please let us know if you DO NOT agree to this.

 

Posters

Poster presentations will also be included with dedicated poster sessions.

Please provide posters in A0 size and portrait format. If you like to print the poster in Rome there are some copy shops near CNR:  https://www.copynetshop.it/, https://www.wardagsanlorenzo.it/ or https://www.instagram.com/tuttografica_sanlorenzo/.

 

The overarching discussion points are listed on the meeting objectives tab.

All submitted abstracts can be viewed in full in this document.

All abstract titles and presenters are listed in the table below.

Recorded meeting presentations are available via YouTube. Please visit the Agenda & recording tab.

 

No ID First name Surname Affiliation Abstract title
DA -1 Advances in DA methods (ensembles, algorithms, machine learning, downscaling, …)
1 1.1 Norihisa Usui Meteorological Research Institute / Japan Meteorological Agency Assimilation of high-resolution sea surface temperature into an eddy-resolving ocean model with a weak-constraint 4D-Var method
2 1.2 Andy Moore UC Santa Cruz Weak Constraint 4D-Var Data Assimilation in the Regional Ocean Modeling System (ROMS) using a Saddle-Point Algorithm
3 1.3 Yue Ying NERSC Improving vortex position accuracy with a new multiscale alignment ensemble filter
4 1.4 Sebastian Barthelemy University of Bergen Hybrid covariance super-resolution data assimilation
5 1.5 Jean-Michel Brankart CNRS Ensemble analysis and forecast of marine ecosystems in the North Atlantic using ocean colour observations and prior statistics from a stochastic NEMO-PISCES simulator
6 1.6 Charles-Emmanuel Testut Mercator Ocean International Towards a Mercator reanalysis and forecasting system using an Ensemble Kalman Filter
7 1.7 Jozef Skalala PML Uncertainty and observability of target ecosystem indicators within the operational system on the North-West European Shelf
8 1.8 Andrea Cipollone CMCC Joint assimilation of sea-ice concentration and thickness from remotely sensed observations
DA – 2 Error covariance modelling (B, Q and R, hybrid approaches)
9 2.1 Sebastian Barthelemy University of Bergen Adaptive covariance hybridization for coupled climate reanalysis
10 2.2 Olivier Goux CERFACS Accounting for correlated observation error in variational ocean data assimilation: application to wide-swath altimeter data
11 2.3 Anthony Weaver CERFACS A scale-dependent hybrid background-error covariance model for global ocean data assimilation
DA – 3 Algorithm development in support of data assimilation
12 3.1 Joao Marcos Azevedo Correia de Souza Meteorological Service of New Zealand Assimilating innovative subsurface observations into an ocean forecast system: How fishers made the forecast better.
13 3.2 Andrea Storto CNR ISMAR Assimilation of high-sampling rate altimetry for sea level studies in the Nordic Seas and Arctic Ocean
14 3.3 Matthew Martin Met Office Assessing the impact of assimilating Total Surface Current Velocities in global ocean forecasting systems.
DA – 4 Hybrid data assimilation methods
15 4.1 Hernan G. Arango Rutgers University Introducing the ROMS-JEDI Interface
16 4.2 Lars Nerger Alfred Wegener Institute Ensemble Data Assimilation in NEMO using PDAF
DA – 5 Coupled data assimilation
17 5.1 Shastri Paturi Axiom@NOAA/NWS/NCEP/EMC Towards a WCDA system for the GFSv17 at NCEP: Preliminary results for the ocean and sea-ice
18 5.2 Daniel Lea Met Office Adding ocean ensemble capability to the Met Office coupled NWP system
19 5.3 Zofia Stanley (presented by Sergey Frolov) CIRES / NOAA Physical Sciences Laboratory Guidance on Localization for Strongly Coupled Atmosphere-Ocean Data Assimilation
20 5.4 Santha Akella NASA Correlations across the air-sea interface for variables without direct analogs
21 5.5 Anna Teruzzi Istituto Nazionale di Oceanografia e di Geofisica Sperimentale – OGS One-way coupled physical-biogeochemical 1D data assimilation at basin wide distributed float locations in the Mediterranean Sea
22 5.6 Xiao Liu SAIC @ NOAA/NWS/NCEP/EMC JEDI-based ocean color data assimilation for NOAA/NCEP’s Unified Forecast System
23 5.7 Lars Nerger Alfred Wegener Institute Coupled assimilation of satellite temperature and chlorophyll observations for improved ecosystem predictions in the Baltic Sea
DA – 6 Use of novel observations and improved use of existing observations
24 6.1 Sergey Frolov NOAA Workshop on Future US Earth System Reanalysis
25 6.2 Marcin Chrust ECMWF ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6)
26 6.3 Andrea Storto CNR ISMAR Reconstructing historical ocean heat content from reanalyses: an uncertainty assessment
27 6.4 Ali Aydogdu Fondazione CMCC Recent data assimilation developments in the Mediterranean Sea Analysis and Forecasting System (MedFS)
28 6.5 Jean-Michel Lellouche (presented by Charles-Emmanuel Testut) Mercator Ocean International Evolution of the Copernicus Marine Service global ocean analysis and forecasting high-resolution system: focus on data assimilation updates
Posters
29 P.1.1 Arthur Vidard Inria State-dependent
Preconditioning for Data
Assimilation
30 P.3.1 Juliana Matranga University of California Santa Cruz Thinning techniques for remote sensing observations
31 P.5.1 Lilian Garcia-Oliva University of Bergen Assessing the Impact of Initialisation Methods on Seasonal-to-Decadal Climate Predictions: Comparing Atmosphere and Ocean Constraints
32 P.5.2 Yue Ying NERSC Predictability of sea ice linear kinematic features evaluated from the neXtSIM ensemble forecasts
33 P.6.1 Shan Gao National Marine Environmental Forecasting Center Data assimilation experiment in the operational ecosystem models and forecasts for China coastal seas
34 P.6.2 Xin Li German Federal Maritime and Hydrographic Agency (BSH) Assimilation of satellite observations in BSH operational circulation model for the North Sea and Baltic Sea: recent implementation and results

The meeting is primarily intended for participation by DA-TT members, the wider OceanPredict community and other experts in ocean and coupled DA, machine learning, ocean forecasting and reanalysis. Junior scientists and graduate students are also encouraged to attend.

Actual attendance tbc

 

  • 9-11 May 2023
  • Task Team meeting
  • CNR, Rome, Italy

The workshop will be held at the CNR headquarters in central Rome (piazzale Aldo Moro, see more information at https://www.cnr.it/en/reach-headquarters  ; location visible at https://www.google.com/maps/place/Piazzale+Aldo+Moro,+00185+Roma+RM). CNR headquarters are close to the main University campus (“La Sapienza”), not far from the main railway station “Roma Termini” and the student neighborhood San Lorenzo.

There are plenty of options for accommodation nearby. Lunches are expected to be offered by the local organizers, while dinner is at everyone’s expense.

 

Dinner information

We have reserved a restaurant called Pancrazio (https://www.ristorantepancrazio.it/) on day 2 of the meeting, 10 May 2023. The restaurant is located in the centre of Rome, a few steps from Campo de’ Fiori, on the remains of the Theater of Pompey. We negotiated a per person cost of 55 Euros for the dinner (3-course meal, drinks included, self-pay at restaurant). The first course and dessert are non-meat based, while the main course would be meat, which can be replaced with a vegetarian alternative if wanted. We will collect numbers of how many will take part in the dinner on day 1 of the meeting (9 May 2023).

 

Hotel information

A list of accommodation suggestions close to the Meeting room: (we recommend these hotels only because of the distance, please check by yourself carefully before booking the hotel)

Best Western Premier Hotel Royal Santina 4*
Via Marsala, 22 – 00185 – Roma (RM)
https://www.hotelroyalsantina.com/
Ph. +39 06 448751
E-mail: [email protected] 

Ateneo Garden Palace 4*
Via dei Salentini 1/3 – Rome
http://www.ateneorome.com/
Ph. +39 (0)6 444 00 42

Hotel Laurentia 3*
Largo degli Osci , 65 – Rome
http://www.hotellaurentia.com/
Ph. +39 (0)6 4450218

Hotel Des Artistes
Via Villafranca 20 00185 Rome
http://www.hoteldesartistes.com/index.htm
Ph. +39 (0)6 445 43 65

Best Western Globus 3*
Viale Ippocrate, 119 – 00161 – Rome
http://www.globushotel.com/en/home-page.aspx
Ph. +39 (0)6 445 70 01

HOTEL ROYAL COURT 4*
Via Marghera, 51 | 00185 Roma
http://www.royalcourthotel.it/
Ph. +39 (0)6 443 40 364

  • Andy Moore (UCSC)
  • Matt Martin (Met Office)
  • Andrea Storto (CNR)
  • Kirsten Wilmer-Becker (Met Office)
  • Marcin Chrust (ECMWF)
  • Anthony Weaver (CERFACS)
  • Anna Teruzzi (OGS)
  • Sergey Frolov (NOAA)
  • Ann Kristin Sperrevik (Norwegian Meteorological Institute)

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