1 resultado para Simultaneous Diophantine approximations
em Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer
Filtro por publicador
- Aberdeen University (4)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (6)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (79)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (20)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (17)
- Bioline International (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (69)
- Boston University Digital Common (4)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (50)
- CentAUR: Central Archive University of Reading - UK (31)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (83)
- Cochin University of Science & Technology (CUSAT), India (4)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (5)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Deakin Research Online - Australia (39)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons at Florida International University (2)
- Digital Peer Publishing (4)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Duke University (6)
- Earth Simulator Research Results Repository (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (2)
- Indian Institute of Science - Bangalore - Índia (71)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Politécnico do Porto, Portugal (3)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (3)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (18)
- Nottingham eTheses (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (8)
- Publishing Network for Geoscientific & Environmental Data (2)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (76)
- Queensland University of Technology - ePrints Archive (83)
- Repositorio Academico Digital UANL (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (94)
- Repositorio Institucional Universidad de Medellín (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scientific Open-access Literature Archive and Repository (4)
- Universidad de Alicante (7)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (10)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (3)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (7)
- Université de Lausanne, Switzerland (5)
- Université de Montréal (1)
- Université de Montréal, Canada (9)
- University of Michigan (13)
- University of Queensland eSpace - Australia (37)
- WestminsterResearch - UK (1)
Resumo:
A radar scatterometer operates by transmitting a pulse of microwave energy toward the ocean's surface and measuring the normalized (per-unit-surface) radar backscatter coefficient (σ°). The primary application of scatterometry is the measurement of near-surface ocean winds. By combining σ° measurements from different azimuth angles, the 10 m vector wind can be determined through a Geophysical Model Function (GMF), which relates wind and backscatter. This paper proposes a mission concept for the measurement of both oceanic winds and surface currents, which makes full use of earlier C-band radar remote sensing experience. For the determination of ocean currents, in particular, the novel idea of using two chirps of opposite slope is introduced. The fundamental processing steps required to retrieve surface currents are given together with their associated accuracies. A detailed description of the mission proposal and comparisons between real and retrieved surface currents are presented. The proposed ocean Doppler scatterometer can be used to generate global surface ocean current maps with accuracies better than 0.2 m/s at a spatial resolution better than 25 km (i.e., 12.5 km spatial sampling) on a daily basis. These maps will allow gaining some insights on the upper ocean mesoscale dynamics. The work lies at a frontier, given that the present inability to measure ocean currents from space in a consistent and synoptic manner represents one of the greatest weaknesses in ocean remote sensing.