Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments-Reference-Cited by-同舟云学术

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Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments

Published:2019-07-02 Issue:2 Volume:31 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Ma Pulong¹²^ORCID,Kang Emily L.³^ORCID

Affiliation:

1. Statistical and Applied Mathematical Sciences Institute Research Triangle Park North Carolina

2. Department of Statistical Science Duke University Durham North Carolina

3. Division of Statistics and Data Science, Department of Mathematical University of Cincinnati Cincinnati Ohio

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2594

Reference59 articles.

1. Data Fusion Between Microwave and Thermal Infrared Radiometer Data and Its Application to Skin Sea Surface Temperature, Wind Speed and Salinity Retrievals

2. Gaussian predictive process models for large spatial data sets

3. Long-Lead Prediction of Pacific SSTs via Bayesian Dynamic Modeling

4. A bivariate space–time downscaler under space and time misalignment

5. Space-Time Data fusion Under Error in Computer Model Output: An Application to Modeling Air Quality

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