The World Ocean Database

نویسندگان

  • Sydney Levitus
  • J. I. Antonov
  • Olga K. Baranova
  • T. P. Boyer
  • C. L. Coleman
  • H. E. Garcia
  • A. I. Grodsky
  • D. R. Johnson
  • R. A. Locarnini
  • Alexey V. Mishonov
  • J. R. Reagan
  • C. L. Sazama
  • D. Seidov
  • Igor Smolyar
  • E. S. Yarosh
  • Melissa M. Zweng
چکیده

The World Ocean Database (WOD) is the most comprehensive global ocean profile-plankton database available internationally without restriction. All data are in one well-documented format and are available both on DVDs for a minimal charge and on-line without charge. The latest DVD version of the WOD is the World Ocean Database 2009 (WOD09). All data in the WOD are associated with as much metadata as possible and every ocean data value has a quality control flag associated with it. The WOD is a product of the U.S. National Oceanographic Data Center and its co-located World Data Center for Oceanography. However the WOD exists because of the international oceanographic data exchange that has occurred under the auspices of the Intergovernmental Oceanographic Commission (IOC) and the International Council of Science (ICSU) World Data Center (WDC) system. World Data Centers are part of the ICSU World Data System.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The UNESCO-IOC-IODE "Global Oceanographic Data Archeology and Rescue" (GODAR) Project and "World Ocean Database" Project

We document the history and progress of two international ocean data management projects. The “Global Oceanographic Data Archaeology and Rescue” project was initiated in 1993 under the auspices of the UNESCO Intergovernmental Oceanographic Commission (IOC). The project has the goal of locating (archaeology) and digitizing or copying to modern electronic media (rescuing) historical (pre-1992) oc...

متن کامل

Designing a Blue Ocean Strategy Model among Market Leaders in the Food Industry Using the Delphi Method

Blue Ocean Strategy with Innovation in the field of strategy offers a set of specific tools and approaches to create value. Therefore, it is important to apply this strategy among market leaders who use a value creation strategy to maintain and maintain competitive advantage. The purpose of this paper is to design a Blue Ocean strategy model among market leaders in the food industry. This study...

متن کامل

Linear trends in salinity for the World

[1] Quality controlled oceanographic profile salinity measurements from the World Ocean Database 2001 (WOD01) were used to calculate linear trends of zonally averaged salinity anomalies for running five year periods from 1955–1959 through 1994–1998 for the World Ocean and the Atlantic, Pacific, and Indian Ocean basins from the surface to 3000 meters depth. Each basin exhibits largescale, cohere...

متن کامل

Towards a Distributed Information System for Coastal Zone Management

The need for accurate data retrieval and use has become a very important issue in the field of ocean sciences, engineering and management. The amount of data collected and processed daily is vast and is expected to increase considerably in the following years. Above this, the lack of a globally accepted protocol for storing this data has created a lot of confusion and delays in using the data. ...

متن کامل

Japanese Contribution to the World Data Center for Oceanography

The Japan Oceanographic Data Center has been submitting oceanographic data to the World Data Center)for oceanography through the framework of the International Oceanographic Data and Information Exchange committee sponsored by the UNESCO/IOC. In the World Ocean Database 2009 which is the compiled database of WDC for oceanography, the Japanese contribution has reached about 16% of the total. Jap...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Data Science Journal

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2013