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MOD021KM.A2015242.1500.061.2017322025327.nc4
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Network Common Data Form - 264.7 MB - MD5: 8f92c190ddd279f43fdb5f883ab08f90
MOD021KM.A2023167.1905.061.2023168073950.nc4
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Network Common Data Form - 267.9 MB - MD5: f5c21a7ae7bdf3e5025c55c620de2c9d
MOD03.A2015242.1500.061.2017322024356.hdf
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Hierarchical Data Format - 31.2 MB - MD5: 36e90456507c968f77803af13a167e6f
MOD03.A2023167.1905.061.2023168012648.hdf
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Hierarchical Data Format - 33.9 MB - MD5: a9d568476b45bdb2fb7758eb5668803d
MOD06_L2.A2015242.1500.061.2017322173229.nc4
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Network Common Data Form - 213.0 MB - MD5: 1c35c12e76e53e7b6e214ca51077303b
MOD06_L2.A2023167.1905.061.2023168082635.nc4
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Network Common Data Form - 306.3 MB - MD5: 5c405d382e46cfd00fde3c5dbfd7b8a7
MOD35_L2.A2015242.1500.061.2017322080323.nc4
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Network Common Data Form - 25.6 MB - MD5: e461b2f7226f05d8a3733b75c63c18f4
MOD35_L2.A2023167.1905.061.2023168074208.nc4
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Network Common Data Form - 27.2 MB - MD5: acfec09c7af7e863ec70992ba60d8f8b
tracks_in.csv
Oct 9, 2026 - Python code for analysing the evolution of cloud properties downwind of strong aerosol point sources using MODIS satellite observations
Comma Separated Values - 2.8 KB - MD5: 703fb8728b7b329eaebaec2c221d9296
Ethnocentric Essentialism_Est_Rus.por
Aug 26, 2026 - Ethnocentric Essentialism
SPSS Portable - 151.0 KB - MD5: de8c4a2aeeeb699ed1c668ec6bd5d5bb
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