Eddy Detection Using Reanalysis Datasets
Issam Lakkis , Omar Bassam Hakla
كلية مارون سمعان للهندسة والعمارة-الجامعة الأمريكية في بيروت · لبنان
الموضوعات
علوم تطبيقية وتكنولوجية
الملخص
Oceanic eddies are ubiquitous in oceans and play a major role in several parameters that include ocean energy transfer, nutrients distribution and air-sea interaction. Typically, eddy detection algorithms are based on single physical parameter, geometrics or other handcrafted features. To achieve better performances, we aim to develop a new approach to fuse multi-variable features for eddy detection. We will investigate lumping satellite datasets of Sea surface height, Sea surface temperature, Salinity in addition to full model solution velocity field through the inclusion of information (correlation) between the datasets.
روابط وملفات
التعريف والنوع
- رقم الوثيقة
- 0c962ee5-fd87-4b50-99be-3d5dc3c2e9db
- رقم العقد
- 0
- نوع الوسائط
- Crawler
- نوع المحتوى
- الرسائل العلمية
- صيغة المصدر
- رسائل ماجيستير
- نوع الملف
- pdf text
- أسماء الملفات
- 2206075_1.pdf
بيانات النشر
- ألقاب المؤلفين
- [{"name_ar":"Issam Lakkis ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Omar Bassam Hakla","title_ar":"اعداد","title_en":"Preparation"}]
- اللغة
- English
المصدر والدورية
- اسم المصدر
- Eddy Detection Using Reanalysis Datasets
المحتوى والصفحات
- عدد الصفحات
- 0
- كلمات الباحثين
- Show simple item record dc.contributor.advisor Lakkis, Issam dc.contributor.author Hakla, Omar dc.contributor.author Lakkis, Issam dc.contributor.author Hoteit, Ibrahim dc.contributor.author Abou Jaoude, Dany dc.date.accessioned 2022-09-05T03:38:03Z dc.date.available 2022-09-05T03:38:03Z dc.date.issued 2022-09-05 dc.date.submitted 2022-09-04 dc.identifier.uri http://hdl.handle.net/10938/23535 dc.description.abstract Oceanic eddies are ubiquitous in oceans and play a major role in several parameters that include ocean energy transfer, nutrients distribution and air-sea interaction. Typically, eddy detection algorithms are based on single physical parameter, geometrics or other handcrafted features. To achieve better performances, we aim to develop a new approach to fuse multi-variable features for eddy detection. We will investigate lumping satellite datasets of Sea surface height, Sea surface temperature, Salinity in addition to full model solution velocity field through the inclusion of information (correlation) between the datasets. dc.language.iso en_US dc.subject Eddy dc.subject Deep learning dc.subject convolutional neural network dc.subject Segmentation dc.subject Labelme dc.subject Cyclonic
إشراف وإعداد
- الإشراف
- Issam Lakkis
- الإعداد
- Omar Bassam Hakla
الاقتباسات الببليوغرافية
APA
MLA