h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Inferring Parameters in a Complex Land Surface Model by Combining Data Assimilation and Machine Learning

; ; ; ; ; ; ;

In
Journal of advances in modeling earth systems : JAMES 17(6), Seiten/Artikel-Nr.:e2024MS004542

ImpressumFort Collins, Colo. : [Verlag nicht ermittelbar]

Umfang1-32

ISSN1942-2466

Online
DOI: 10.1029/2024MS004542

DOI: 10.18154/RWTH-2026-03457
URL: https://publications.rwth-aachen.de/record/1032352/files/1032352.pdf

Einrichtungen

  1. Fakultät für Georessourcen und Materialtechnik (500000)


Thematische Einordnung (Klassifikation)
DDC: 550

OpenAccess:
Download fulltext PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105008708955
WOS Core Collection: WOS:001512375000001
OpenAlex: W4411515523

Interne Identnummern
RWTH-2026-03457
Datensatz-ID: 1032352

Beteiligte Länder
Germany, Norway

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Georesources and Materials Engineering (Fac.5) > No department assigned
Publication server / Open Access
Public records
Publications database
500000
 Record created 2026-03-23, last modified 2026-03-26
Similar records


OpenAccess:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)