Freely published remote sensing products under Thailand-China collaboration
Freely published remote sensing products under Thailand-China collaboration
GeneralUnder the collaboration between Thailand and China on the research of climate and marine ecosystem, the Joint Laboratory has recieved the right to distribute the product of satellite data from the First Institute of Oceanography (FIO). For those who are interested in using the data, please see the following details:
Time coverage : January 2013 - December 2022
Description : The analysis data were produced based on the OI (optimal interpolation) algorithm, data fusion was performed using GMI (Global Precipitation Measurement Microwave Imager), WindSat, AMSR2 (Advanced Microwave Scanning Radiometer 2), SSMI, ASCAT, HY-2 and NCEP remote sensing observations to generate the 6h/0.1° wind fusion data. All data are formatted as NetCDF, which includes datasets of wind, grid information of latitude and longitude (grid number 452 x 800). The data record four sets of data fields: longitude (lon), latitude (lat), U and V component of the wind. The data record of the U and V component of wind has four attributes. Long time series remote sensing data products will continue to be generated and released to the public.
Variables : wind, significant wave height, surface current, sea surface temperature, sea surface salinity, and chlorophyll-a concentration.
Spatial coverage : The longitude covers a range of 70.05°E~149.95°E. The latitude spans a range of 20.05°S~25.05°N.
Data provider : First Institute of Oceanography, Ministry of Natural Resources.
Format : NetCDF
Citation :
Sun, W., Wang, J., Zhang, J. (2018) A new global gridded sea surface temperature product constructed from infrared and microwave radiometer data using the optimum interpolation method. Acta Oceanol. Sin. 37, 41–49 (2018). https://doi.org/10.1007/s13131-018-1206-4
Xiao, Y., Zhang, J., Cui, T. A new merged dataset of global ocean chlorophyll a concentration with higher spatial and temporal coverage. Acta Oceanol. Sin. 37, 118–130 (2018). https://doi.org/10.1007/s13131-018-1249-6
Qiushuang Yan, Jie Zhang, Junmin Meng, Jing Wang & Chenqing Fan (2017) Use of an optimum interpolation method to construct a high-resolution global ocean surface vector wind dataset from active scatterometers and passive radiometers, International Journal of Remote Sensing, 38:20, 5569-5591, DOI: 10.1080/01431161.2017.1341665
Contact : to request the data, please contact dic.thch@dmcr.mail.go.th with cc to pmbc.ocean@gmail.com
Attached files : Product description and Application_form