How humid the air is relative to ice, monthly (Aura)
What it measures. Monthly readings of how humid the upper atmosphere is compared with the point where ice would form, sorted by latitude and altitude. High values point to conditions where ice clouds can develop.
How it's made. Derived from microwave signals measured by the Microwave Limb Sounder on NASA's Aura satellite, then averaged into monthly bins.
How & where you'd use it. Useful for studying high-altitude clouds, water vapor, and how moisture behaves in the cold upper atmosphere.
What's measured
Coverage & cadence
- Time span2004-08-02 → ongoing
- Measured byAura (MLS)
- Processing levelLevel 3
- Spatial extent-180, -82, 180, 82
- StatusCOMPLETE
What you can do with it
- Map air pollutants — NO₂, aerosols, ozone
- Track greenhouse gases and Earth's energy budget
- Feed weather and air-quality analysis
Official description
ML3MBRHI is the EOS Aura Microwave Limb Sounder (MLS) monthly binned on various vertical grids product for relative humidity with respect to ice (RHI) derived from radiances measured by the 118 and 190 GHz radiometers. The data version is 4.2. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is from 316 to 0.0215 hPa, and the vertical resolution is between 3 and 6 km. Users of the ML3MBRHI data product should read chapter 4 and section 3.20 of the EOS MLS Level 2 Version 4 Quality Document for more information. The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs theta, lat vs theta zonal mean, equivalent lat vs theta zonal mean, and vortex average vs theta. Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="ML3MBRHI",
version="004",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from GES_DISC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Access the data via HTTPS. GET DATA
- Access the data via the OPeNDAP protocol. USE SERVICE API
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- Data Quality and Description Document VIEW RELATED INFORMATION
- List of publications. VIEW RELATED INFORMATION
- Users are encouraged to register with the MLS science team to obtain updates and information about this data product. VIEW RELATED INFORMATION
- EOS MLS Retrieval Process Algorithm Theoretical Basis VIEW RELATED INFORMATION