Earth Data School
About
Full catalog/PACE_HARP2_L1C_SCI
PACE_HARP2_L1C_SCI·v3·dataset

Raw multi-angle polarized sky and ocean views (PACE HARP2)

PACE HARP2 Level-1C Science Data, version 3
ocean NASA OB_CLOUD Level 1 active netCDF-4
In plain English

What it measures. Contains multi-angle, polarized views of sky and ocean from the HARP2 camera, organized so each measurement is tied to a specific wavelength. Some channels are copied straight from earlier processing and others are computed, with labels explaining which is which.

How it's made. Comes from the HARP2 polarimeter on NASA's PACE satellite, at an early processing stage (Level 1C) that reorganizes the raw measurements but does not yet turn them into final science products.

How & where you'd use it. A low-level input mainly used by science teams to build higher-level products about aerosols, clouds, and ocean particles, rather than something used directly by most people.

What's measured

OCEANS › OCEAN OPTICSSPECTRAL/ENGINEERING › INFRARED WAVELENGTHSSPECTRAL/ENGINEERING › SENSOR CHARACTERISTICSSPECTRAL/ENGINEERING › VISIBLE WAVELENGTHS

Coverage & cadence

  • Time span2024-02-22 → ongoing
  • Measured byPACE (HARP2)
  • Processing levelLevel 1
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusACTIVE

What you can do with it

  • Watch sea-surface temperature and marine heatwaves
  • Spot algal blooms and ocean-colour shifts
  • Support fisheries and coastal monitoring
Official description

Level 1C (L1C) data are Level 1B (L1B) data that include new variables to describe the spectra. These variables allow the user to identify which L1C channels have been copied directly from the L1B and which have been synthesized from L1B and why.

Get the data

pace_harp2_l1c_sci_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="PACE_HARP2_L1C_SCI",
    version="3",
    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 OB_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.