Atmospheric water vapor is an important parameter for studying the water cycle. In the context of global warming, in order to better study the impact of atmospheric water vapor on the water cycle, a global daily scale AMSR-E/AMSR2 all-weather atmospheric precipitable water (TPW) dataset with a spatial resolution of 0.25 ° was constructed. In the data set, the TPW over land is mainly obtained by our newly developed 18.7 and 23.8 GHz brightness temperature data inversion algorithm based on AMSR-E and AMSR2; The ocean sky TPW data integrates AMSR-E/AMSR2 official TPW products. As a post-processing, in order to eliminate the systematic deviation between AMSR-E TPW and AMSR2 TPW, using AIRX2RET TPW as the benchmark, the histogram matching method was used to correct the systematic deviation of AMSR-E and AMSR2 TPW data on a global scale, to ensure the continuity of the data, and finally the global daily scale AMSR-E and AMSR2 TPW all-weather data sets were obtained. Among them, the time range of AMSR-E data is from July 8, 2002 to September 27, 2011, and the time range of AMSR-2 data is from January 1, 2013 to August 31, 2017. Each date contains two files: orbit raising and orbit lowering. The data format is Geotiff. The number of data layers is 2. The first layer is TPW data, with the unit of mm. The second layer is time information, which represents the number of seconds elapsed between the pixel observation time with UTC as the time base and 0:00:00 of the current day. The data set has reliable quality. Through verification and analysis with the global SuomiNET GPS TPW, the root mean square error of the data set is 3.5-5.2mm. As atmospheric precipitable water is an important geophysical parameter affecting surface remote sensing and also has an important impact on the earth's climate change, this data can be used for research on the impact of atmospheric water vapor on the water cycle, the assessment of atmospheric water resources and atmospheric correction in the context of climate warming.

File naming and required software

File naming rules:
TPW_ YYYYMMDD_ A/D_ AMSRE/AMSR2.tif.
TPW is the acronym of Total Precipitable Water. YYYY means year, MM means month, DD means the day of the month. A is the acronym of ascending and D is the acronym of descending. AMSRE / AMSR2 are sensor types. ".tif" is the file format, which means the data is stored in format of Geotiff.
Data reading method:
You can use an IDL command ‘data = READ_ TIFF (fname, geotiff = g_tags)’ to read the file. The number of layers in the file is 2. The first layer is TPW, in unit of mm, and the second layer is time information which indicates the number of seconds elapsed from 00:00:00 UTC of the day to the observation time of satellite.

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Cite as:

Ji, D., Shi, J., Husi, L., Li, W., Zhang, H., Shang, H. (2022). Global Daily Total Preipitable Water dataset in all weather condition based on AMSR-E and AMSR2 (2002-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272832. CSTR: 18406.11.Atmos.tpdc.272832. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Ji, D., Shi, J., Xiong, C., Wang, T., & Zhang, Y. (2017). A total precipitable water retrieval method over land using the combination of passive microwave and optical remote sensing. Remote Sens. Environ., vol. 191, pp. 313–327.( View Details | Bibtex)

2. Ji, D., Shi, J., Letu, H., Li, W., Zhang, H., & Shang, H. (2021). A Total Precipitable Water Product and Its Trend Analysis in Recent Years Based on Passive Microwave Radiometers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 7324-7335, doi: 10.1109/JSTARS.2021.3096535.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

2nd survey of Tibet plateau (No:2019QZKK0206)

the National Key Research and Development Program of China, Grant No. 2017YFB0504105. (No:2017YFB0504105)

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