AS1.1 | Numerical weather prediction, data assimilation and ensemble forecasting
EDI
Numerical weather prediction, data assimilation and ensemble forecasting
Convener: Haraldur Ólafsson | Co-conveners: Jian-Wen Bao, Lisa DegenhardtECSECS
Orals
| Mon, 15 Apr, 08:30–12:30 (CEST)
 
Room 0.11/12
Posters on site
| Attendance Mon, 15 Apr, 16:15–18:00 (CEST) | Display Mon, 15 Apr, 14:00–18:00
 
Hall X5
Orals |
Mon, 08:30
Posters on site
Mon, 16:15
This session welcomes papers on:

1) Forecasting and simulating high impact weather events - research on using advanced artificial intelligence and machine learning techniques to improve numerical weather model prediction of severe weather events (such as winter storms, tropical storms, and severe mesoscale convective storms);

2) Development and improvement of model numerics - basic research on advanced numerical techniques for weather and climate models (such as cloud resolving global model and high-resolution regional models specialized for extreme weather events on sub-synoptic scales);

3) Development and improvement of model physics - progress in research on advanced model physics parametrization schemes (such as stochastic physics, air-wave-oceans coupling physics, turbulent diffusion and interaction with the surface, sub-grid condensation and convection, grid-resolved cloud and precipitation, land-surface parametrization, and radiation);

4) Verification of model physics and forecast products against theories and observations;

5) Data assimilation systems - progress in the development of data assimilation systems for operational applications (such as reanalysis and climate services), research on advanced methods for data assimilation on various scales (such as treatment of model and observation errors in data assimilation, and observational network design and experiments);

6) Ensemble forecasts and predictability - strategies in ensemble construction, model resolution and forecast range-related issues, and applications to data assimilation;

7) Advances and challenges in applying data from various conventional and avant-garde observation platforms to evaluate and improve high-resolution simulations and forecasting.

8) Application of Artificial Intelligence / Machine Learning in weather forecasting in general

Orals: Mon, 15 Apr | Room 0.11/12

Chairpersons: Lisa Degenhardt, Haraldur Ólafsson
08:30–08:35
Convener introduction
EGU24-15614
|
solicited
|
On-site presentation
Running global Machine Learning weather models - challenges, observations and conclusions
Karolina Stanisławska and Olafur Rognvaldsson
EGU24-5395
|
ECS
|
On-site presentation
Uncertainty quantification for data-driven weather models
Nina Horat et al.
EGU24-5656
|
On-site presentation
Impact of GNSS tropospheric gradient assimilation and sensitivity analysis
Rohith Thundathil et al.
Coffee break
Chairpersons: Haraldur Ólafsson, Jian-Wen Bao
10:45–10:50
Convener introduction
EGU24-13187
|
On-site presentation
Improved Weather Predictions Through Data Assimilation for GFDL SHiELD
Mingjing Tong et al.
EGU24-16714
|
On-site presentation
The Weather On Demand weather forecast framework - Recent developments and outlook
Olafur Rognvaldsson and Karolina Stanislawska
EGU24-13557
|
ECS
|
On-site presentation
What determines the predictability of a Mediterranean cyclone?  
Benjamin Doiteau et al.
EGU24-11708
|
ECS
|
On-site presentation
Medium-Range Excessive Rainfall Prediction with Machine Learning
Aaron Hill and Russ Schumacher
EGU24-17438
|
ECS
|
On-site presentation
A feature-based framework to investigate atmospheric predictability.
Sören Schmidt et al.
EGU24-20553
|
On-site presentation
Crossing the Valley of Death : Transitioning Weather Research to Operations in NOAA
Chandra Kondragunta et al.

Posters on site: Mon, 15 Apr, 16:15–18:00 | Hall X5

Display time: Mon, 15 Apr 14:00–Mon, 15 Apr 18:00
Chairpersons: Jian-Wen Bao, Haraldur Ólafsson
EGU24-857
|
ECS
|
OSPP
|
On-site presentation
Improving extreme rainfall forecasting for a flood prone region: A hybrid modelling approach
Athira Krishnankutty Nair and Sarmistha Singh
EGU24-1043
|
ECS
|
OSPP
|
On-site presentation
Development of a mathematical model for the determination of the atmospheric boundary layer height using artificial intelligence
Sebastián Estrada and Olga Lucia Quintero Montoya
EGU24-6813
|
ECS
|
OSPP
|
On-site presentation
Numerical Investigation of High Impact Foehn storm in February 1925 using WRF and PALM models.
Renuka Prakash Shastri et al.
EGU24-9797
|
On-site presentation
Arctic temperature persistence in winter and spring and seasonal forecasting
Haraldur Ólafsson and Negar Ekrami
EGU24-11953
|
On-site presentation
A Unified Representation of Subgrid Convection in NOAA’s Unified Forecast System
Jian-Wen Bao et al.
EGU24-13978
|
On-site presentation
A Positive-Definite Moist EDMF Parameterization Scheme for Turbulent Mixing in the PBL
Evelyn Grell and Jian-Wen Bao
EGU24-15467
|
ECS
|
OSPP
|
On-site presentation
Impact of Nesting Techniques Over Short-Term WRF Forecast Accuracy
A. Cem Çatal et al.
EGU24-18982
|
ECS
|
On-site presentation
Benefits of initializing equatorial waves on extratropical forecasts
Chen Wang et al.
EGU24-18469
|
ECS
|
On-site presentation
Towards higher resolution data assimilation in ECMWF IFS
(withdrawn)
Žiga Zaplotnik et al.
EGU24-3462
|
ECS
|
On-site presentation
Assimilation of HY-2D scatterometer wind field data in CMA-GFS
Chuanwen Wei et al.
EGU24-4851
|
On-site presentation
Augmenting WRF with PDAF for an Online Localized Ensemble Data Assimilation
Changliang Shao
EGU24-18054
|
On-site presentation
Enhanced coupled land-atmosphere data assimilation for reanalysis
Peter Weston et al.
EGU24-3738
|
On-site presentation
Strongly Coupled Land-Atmosphere Data Assimilation and Its Impact on Near-surface Weather Forecasting
(withdrawn)
Zhaoxia Pu and Kian Huang
EGU24-8324
|
On-site presentation
Eta features, additional to the vertical coordinate, deserving attention
Fedor Mesinger et al.