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Posters

UP3.6

Improved reanalyses of past weather can be obtained by retrospectively assimilating reprocessed observational datasets ranging from surface stations and satellites with a up-to-date Numerical Weather Prediction (NWP) model. The resulting time series of the atmospheric state is both dynamically consistent and close to observations. The interest in extracting climate information from reanalysis is rising and creating a request for reanalysis uncertainty estimation at various temporal-spatial scales.
These research questions are adressed in the ERA-CLIM, EURO4M and UERRA projects which are supporting the development of the Copernicus Climate Change Services.

This session invites papers that:
• Explore and demonstrate the capability of global and regional reanalysis data for climate applications
• Compare different reanalysis (global, regional) with each other and/or observations
• Improve recovery, quality control and uncertainty estimation of related observations
• Analyse the uncertainty budget of the reanalyses and relate to user applications

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Convener: Frank Kaspar | Co-Conveners: Eric Bazile, Dick Dee
Orals
| Mon, 09 Sep, 14:00–16:00|Room S1
Posters
| Attendance Mon, 09 Sep, 19:15–20:30 | Display Mon, 09 Sep, 09:30–Wed, 11 Sep, 12:30|Sports Hall
Display time: Monday, 9 September 2019 09:30–Wednesday, 11 September 12:30

Attendance time: Monday, 9 September 2019, 19:15–20:30 | Sports Hall

Chairperson: Frank Kaspar
Poster pitches (16:00-16:10)
Sports Hall
P166 |
EMS2019-546
Ines Cerenzia, Simone Sperati, Riccardo Bonanno, Matteo Lacavalla, Tiziana Paccagnella, Andrea Montani, Francesco Pasi, Bernardo Gozzini, and Valerio Capecchi
P167 |
EMS2019-850
| presentation
Taru Olsson and Kirsti Jylhä
P168 |
EMS2019-734
Angelika Palarz, Daniel Celiński-Mysław, and Zbigniew Ustrnul
P169 |
EMS2019-20
| presentation
Vladimir Platonov and Mikhail Varentsov
P170 |
EMS2019-783
| presentation
Xiaohua Yang, Harald Schyberg, Morten Køltzow, Kristian P. Nielsen, and Bjarne Amstrup
P171 |
EMS2019-920
Frank Kaspar, Michael Borsche, Jan Keller, Deborah Niermann, Roland Potthast, Thomas Rösch, Thomas Spangehl, and Birger Tinz
P172 |
EMS2019-862
Eric Bazile, Antoine Verrelle, Francois Besson, Michael Glinton, and Patrick Le Moigne

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