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電子書籍・電子雑誌Progress in earth and planetary science
Volume number5
Deep-float...

Deep-float salinity data synthesis for deep ocean state estimation : method and impact

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Deep-float salinity data synthesis for deep ocean state estimation : method and impact

Call No. (NDL)
Z71-E958
Bibliographic ID of National Diet Library
11249487
Persistent ID (NDL)
info:ndljp/pid/11249487
Material type
記事
Author
Shuhei Masudaほか
Publisher
Springer Nature
Publication date
2018-12-29
Material Format
Paper・Digital
Journal name
Progress in earth and planetary science 5(89)
Publication Page
-
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コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他(Provided by: CiNii Research)

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Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type
記事
Author/Editor
Shuhei Masuda
Satoshi Osafune
Tadashi Hemmi
Publication, Distribution, etc.
Publication Date
2018-12-29
Publication Date (W3CDTF)
2018-12-29
Periodical title
Progress in earth and planetary science
No. or year of volume/issue
5(89)
Volume
5(89)
ISSN (Periodical Title)
2197-4284
ISSN-L (Periodical Title)
2197-4284
Text Language Code
eng
Persistent ID (NDL)
info:ndljp/pid/11249487
Collection (Materials For Handicapped People:1)
Collection (particular)
国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
Acquisition Basis
オンライン資料収集制度
Date Accepted (W3CDTF)
2019-03-05T23:10:26+09:00
Date Captured (W3CDTF)
2019-03-05
Format (IMT)
application/pdf
Access Restrictions
国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service
図書館・個人送信対象外
Availability of remote photoduplication service
Periodical Title (Persistent ID (NDL))
info:ndljp/pid/11018906
Data Provider (Database)
国立国会図書館 : 国立国会図書館デジタルコレクション

Digital

Summary, etc.
コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
Access Restrictions
インターネット公開
Is Referenced By
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks
References
Rapid volume reduction in Antarctic Bottom Water off the Adélie/George V Land coast observed by deep floats
State estimation improves prospects for ocean research
Fifteen years of ocean observations with the global Argo array
Bottom water warming in the North Pacific Ocean
An Improved In Situ and Satellite SST Analysis for Climate
Dynamically and Kinematically Consistent Global Ocean Circulation and Ice State Estimates
EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates
Antarctic Bottom Water Warming and Freshening: Contributions to Sea Level Rise, Ocean Freshwater Budgets, and Global Heat Gain*
Practical global oceanic state estimation
Evaluation of the applicability of the Estimated State of the Global Ocean for Climate Research (ESTOC) data set
Freshening of the Adélie Land Bottom Water near 140°E
Warming and Freshening in the Abyssal Southeastern Indian Ocean*
SOME BASIC FORMALISMS IN NUMERICAL VARIATIONAL ANALYSIS
Deep ocean heat content changes estimated from observation and reanalysis product and their influence on sea level change
Simulated Rapid Warming of Abyssal North Pacific Waters
Large Multidecadal Salinity Trends near the Pacific–Antarctic Continental Margin
Rapid freshening of Antarctic Bottom Water formed in the Indian and Pacific oceans
Warming of Global Abyssal and Deep Southern Ocean Waters between the 1990s and 2000s: Contributions to Global Heat and Sea Level Rise Budgets*
Sea-Level Rise from the Late 19th to the Early 21st Century
Optimal Observations for Variational Data Assimilation
Observation bias correction schemes in data assimilation systems: a theoretical study of some of their properties
Enhanced radiance bias correction in the National Centers for Environmental Prediction's Gridpoint Statistical Interpolation data assimilation system
Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)
Data Provider (Database)
国立情報学研究所 : CiNii Research
Original Data Provider (Database)
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科学研究費助成事業データベース
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Bibliographic ID (NDL)
11249487