This dataset contains monthly-mean cloud properties as observed by the two MODIS instruments on the Terra (morning orbit) and Aqua (afternoon) satellites.
Size
Roughly 23 years of monthly files of ~65 Mb each = ~17 Gb
License
Unspecified as far as I can tell - no restrictions
Data Format
NetCDF
Access protocol
HTTP(S)
Source File Organization
There is a single file per directory following $ROOT/Month-start-julian-day/$filename, though the filename is not predictable.
Example URLs
https://github.com/RobertPincus/MODIS-COSP-data
contains a shell script to download all the files and a Python script to extract, rename, and reorganize the bits people want to use.
Authorization
None
Transformation / Processing
Each monthly files contains netCDF4 groups, one per output variable. For each variable we want to extract only the "Mean" value, rename this to the group name, and concatenate the data along the time dimension. A Zarr store can hold
Processing is described at the end of section 2.3 in doi:10.5194/essd-15-2483-2023. A GitHub repo contains a shell script to download all the files and a Python script to extract, rename, and reorganize the bits people want to use.
Dataset Name
MCD06COSP_M3_MODIS - MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid
Dataset URL
https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MCD06COSP_M3_MODIS
Description
This dataset contains monthly-mean cloud properties as observed by the two MODIS instruments on the Terra (morning orbit) and Aqua (afternoon) satellites.
Size
Roughly 23 years of monthly files of ~65 Mb each = ~17 Gb
License
Unspecified as far as I can tell - no restrictions
Data Format
NetCDF
Access protocol
HTTP(S)
Source File Organization
There is a single file per directory following $ROOT/Month-start-julian-day/$filename, though the filename is not predictable.
Example URLs
contains a shell script to download all the files and a Python script to extract, rename, and reorganize the bits people want to use.
Authorization
None
Transformation / Processing
Each monthly files contains netCDF4 groups, one per output variable. For each variable we want to extract only the "Mean" value, rename this to the group name, and concatenate the data along the time dimension. A Zarr store can hold
Processing is described at the end of section 2.3 in doi:10.5194/essd-15-2483-2023. A GitHub repo contains a shell script to download all the files and a Python script to extract, rename, and reorganize the bits people want to use.
Target Format
Zarr
Comments
No response