Orals

NP5.3

Statistical post-processing techniques for weather, climate, and hydrological forecasts are powerful approaches to compensate for effects of errors in model structure or initial conditions, and to calibrate inaccurately dispersed ensembles. These techniques are now an integral part of many forecasting suites and are used in many end-user applications such as wind energy production or flood warning systems.

Many of these techniques are now flourishing in the statistical, meteorological, climatological, hydrological, and engineering communities. The methods range in complexity from simple bias correction up to very sophisticated distribution-adjusting techniques that take into account correlations among the prognostic variables.

In this session, we invite papers dealing with both theoretical developments in statistical post-processing and evaluation of their performances in different practical applications oriented toward environmental predictions.

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Co-organized as AS1.8/CL5.22/HS4.2.4
Convener: Stéphane Vannitsem | Co-conveners: Stephan Hemri, Maxime Taillardat, Daniel S. Wilks
Orals
| Thu, 11 Apr, 16:15–18:00
 
Room M1
Posters
| Attendance Fri, 12 Apr, 16:15–18:00
 
Hall X4

Thursday, 11 April 2019 | Room M1

Chairperson: Stephan Hemri
16:15–16:30 |
EGU2019-4765
| solicited
Sándor Baran, Martin Leutbecher, Marianna Szabó, and Zied Ben Bouallègue
16:30–16:45 |
EGU2019-8903
Nina Schuhen, Thordis L. Thorarinsdottir, and Alex Lenkoski
16:45–17:00 |
EGU2019-14985
Thomas N. Nipen, Ivar A. Seierstad, Cristian Lussana, and Jørn Kristiansen
17:00–17:15 |
EGU2019-18948
Annette Möller, Ludovica Spazzini, Daniel Kraus, Thomas Nagler, and Claudia Czado
17:15–17:30 |
EGU2019-2272
Stephan Rasp and Sebastian Lerch
17:30–17:45 |
EGU2019-7139
John Bjørnar Bremnes
17:45–18:00 |
EGU2019-11461
| Highlight
Balasubramanya Nadiga, Tarun Verma, Wilbert Weijer, and Nathan Urban