I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
LB-SCAM: a learning-based method for efficient large-scale ..:
Guo, Jiaxu
;
Zheng, Juepeng
;
Xu, Yidan
...
Geoscientific Model Development. 17 (2024) 9 - p. 3975-3992 , 2024
Link:
https://doi.org/10.5194/gmd-17-3975-2024
RT Journal T1
LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)
UL https://suche.suub.uni-bremen.de/peid=cr-10.5194_gmd-17-3975-2024&Exemplar=1&LAN=DE A1 Guo, Jiaxu A1 Zheng, Juepeng A1 Xu, Yidan A1 Fu, Haohuan A1 Xue, Wei A1 Wang, Lanning A1 Gan, Lin A1 Gao, Ping A1 Wan, Wubing A1 Wu, Xianwei A1 Zhang, Zhitao A1 Hu, Liang A1 Xu, Gaochao A1 Che, Xilong PB Copernicus GmbH YR 2024 SN 1991-9603 JF Geoscientific Model Development VO 17 IS 9 SP 3975 OP 3992 LK http://dx.doi.org/https://doi.org/10.5194/gmd-17-3975-2024 DO https://doi.org/10.5194/gmd-17-3975-2024 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)