Globally Gridded Sea Surface Temperature (SSTG)
Sea surface temperature (SSTG) is an important geophysical parameter that is crucial to the study of global climate change. Although the sea surface temperature can be obtained by various sensors (MODIS, AVHRR, AMSR-E, AMSR2, WindSat, in-situ sensors), the temperature values obtained by different sensors come from different ocean depths and different observation times, so different Temperature product lacks consistency. Preface – Bed Length Artificial Intelligence Tutorial
The SSTG dataset is global sea surface temperature data for the period 2002-2019, in degrees Celsius, with a temporal resolution of monthly and a spatial resolution of 0.041°. It is performed using temperature depth and observation time correction models on daily in situ SST data and daily satellite SST from two infrared (MODIS and AVHRR) and three passive microwave (AMSR-E, AMSR2, Windsat) radiometers Generated after retrieving data for calibration. Accuracy assessments show that the reconstructed dataset exhibits clear improvements and can be used for the analysis of mesoscale oceanic phenomena.
Paper Citation¶
Cao, M., Mao, K., Yan, Y., Shi, J., Wang, H., Xu, T., Fang, S., and Yuan, Z.: A new global gridded sea surface temperature data product based on
multisource data, Earth Syst. Sci. Data, 13, 2111–2134, https://doi.org/10.5194/essd-13-2111-2021, 2021.
Data Citation¶
Mengmeng cao, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, & Zijin Yuan. (2021). A New Global Gridded Sea Surface
Temperature Data Product Based on Multisource Data (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4762067
Earth Engine Snippet¶
var sstg = ee.ImageCollection("projects/sat-io/open-datasets/sstg")
print(sstg.size())
Map.setCenter(-28.54, 42.92,3)
var cmap = ["#000080", "#0000ff", "#0063ff", "#00d4ff", "#4effa9", "#a9ff4e", "#ffe600", "#ff7d00", "#ff1400", "#800000"]
var addyear = function(image){
return image.set('year',image.date().get('year')).copyProperties(image)
}
print(sstg.map(addyear).aggregate_histogram('year'))
Map.addLayer(sstg.sort('system:index',false).first(),{min:-2,max:34,palette:cmap},'SSTG Sample')
License¶
This work is distributed under the Creative Commons Attribution 4.0 International License
Created by: Mengmeng cao, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, & Zijin Yuan
Curated by:Samapriya Roy
Keywords: Sea Surface Temperature, SST, Gridded
Last updated: 2021-01-05