Retrieving Ocean Subsurface Temperature Using a Satellite‐Based Geographically Weighted Regression Model-Reference-Cited by-同舟云学术

Retrieving Ocean Subsurface Temperature Using a Satellite‐Based Geographically Weighted Regression Model

Published:2018-08 Issue:8 Volume:123 Page:5180-5193
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:J. Geophys. Res. Oceans

Author:

Su Hua¹^ORCID,Huang Linjin¹,Li Wene¹^ORCID,Yang Xin¹,Yan Xiao‐Hai²^ORCID

Affiliation:

1. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National and Local Joint Engineering Research Center of Satellite Geospatial Information TechnologyFuzhou University Fuzhou China

2. Joint Center for Remote SensingUniversity of Delaware and Xiamen University Newark DE USA

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018JC014246

Reference36 articles.

1. A Review of Ocean/Sea Subsurface Water Temperature Studies from Remote Sensing and Non-Remote Sensing Methods

2. Estimation of ocean subsurface thermal structure from surface parameters: A neural network approach

3. Distinctive climate signals in reanalysis of global ocean heat content

4. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity

5. Reconstruction of Subsurface Velocities From Satellite Observations Using Iterative Self-Organizing Maps

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