Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
On‐line machine‐learning forecast uncertainty estimation for sequential data assimilation
On‐line machine‐learning forecast uncertainty estimation for sequential data assimilation
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Maximiliano A. Sacco
,
Manuel Pulido
,
Juan J. Ruiz
,
Pierre Tandeo
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Quarterly Journal of the Royal Meteorological Society
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
A machine‐learning and data assimilation forecasting framework for surface waves
by: Pujan Pokhrel, et al.
Published: (2024)
A machine‐learning approach to thunderstorm forecasting through post‐processing of simulation data
by: Kianusch Vahid Yousefnia, et al.
Published: (2024)
On methods for assessment of the value of observations in convection‐permitting data assimilation and numerical weather forecasting
by: Guannan Hu, et al.
Published: (2025)
Assessing forecast benefits of future constellations of microwave sounders on small satellites using an ensemble of data assimilations
by: Katie Lean, et al.
Published: (2025)
Exploration of the use of short‐wave infrared radiances in weather forecasts model Part II : Data assimilation and forecast impact assessment
by: Agnes H. N. Lim, et al.
Published: (2025)
