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
Assessment and prediction of meteorological drought using m..:
En-Nagre, Khalid
;
Aqnouy, Mourad
;
Ouarka, Ayoub
...
Climate Risk Management. 45 (2024) - p. 100630 , 2024
Link:
https://doi.org/10.1016/j.crm.2024.100630
RT Journal T1
Assessment and prediction of meteorological drought using machine learning algorithms and climate data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.crm.2024.100630&Exemplar=1&LAN=DE A1 En-Nagre, Khalid A1 Aqnouy, Mourad A1 Ouarka, Ayoub A1 Ali Asad Naqvi, Syed A1 Bouizrou, Ismail A1 Eddine Stitou El Messari, Jamal A1 Tariq, Aqil A1 Soufan, Walid A1 Li, Wenzhao A1 El-Askary, Hesham PB Elsevier BV YR 2024 SN 2212-0963 JF Climate Risk Management VO 45 SP 100630 LK http://dx.doi.org/https://doi.org/10.1016/j.crm.2024.100630 DO https://doi.org/10.1016/j.crm.2024.100630 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)