Earth Data School
About
Full catalog/viirs_mosaic-cyclone-beryl
viirs_mosaic-cyclone-beryl·dataset

Satellite Cloud-Top Temperatures of Hurricane Beryl

Brightness Temperature (Band I5)
atmosphere NASA VEDA COG
In plain English

What it measures. Brightness temperatures (in Kelvin) at the top of the atmosphere over Cyclone Beryl, revealing relative warm-and-cold differences that help distinguish cloud features, storm structure, and clear land.

How it's made. Measured by the VIIRS instrument aboard the joint NASA/NOAA Suomi NPP satellite, with daily 375-meter imaging.

How & where you'd use it. Helps forecasters track a storm's structure and the towering cold cloud tops of its strongest areas.

What's measured

viirsmosaiccycloneberyl

Coverage & cadence

  • Time span2024-06-26 → 2024-07-09
  • Spatial extent-102.813, 6.193, -13.346, 48.6
  • FormatsCOG

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

The VIIRS Brightness Temperature (Band I5, Day) layer is the brightness temperature, measured in Kelvin (K), calculated from the top-of-the-atmosphere radiances. It does not provide an accurate temperature of either clouds or the land surface, but it does show relative temperature differences which can be used to distinguish features both in clouds and over clear land. It can be used to distinguish land, sea ice, and open water over the polar regions during winter (in cloudless areas). The VIIRS Brightness Temperature layer is calculated from VIIRS Calibrated Radiances (VNP02) and is available from the joint NASA/NOAA Suomi National Polar orbiting Partnership (Suomi NPP) satellite. The sensor resolution is 375m, the imagery resolution is 250m, and the temporal resolution is daily.

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("viirs_mosaic-cyclone-beryl")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).