Full catalog/ASCATA_ESDR_ANCILLARY_L2_V1.1
ASCATA_ESDR_ANCILLARY_L2_V1.1·v1.1·dataset

Extra ocean surface fields for wind data (MetOp-A)

MetOp-A ASCAT ESDR Level 2 Ancillary Ocean Surface Fields Version 1.1
ocean NASA POCLOUD Level 2 netCDF-4
In plain English

What it measures. Extra background fields that go alongside ocean wind data, including modeled surface winds, rainfall estimates, and ocean current estimates, lined up with each satellite observation.

How it's made. Created by taking weather and ocean models and rainfall data and matching them in space and time to each MetOp-A scatterometer measurement, on a roughly 12.5 km grid.

How & where you'd use it. A companion dataset used together with the matching MetOp-A wind product, giving researchers the surrounding context for studying ocean winds and conditions.

What's measured

OCEANS › OCEAN CIRCULATION › OCEAN CURRENTSATMOSPHERE › ALTITUDE › PLANETARY BOUNDARY LAYER HEIGHTOCEANS › OCEAN WINDS › SURFACE WINDS › Ocean Surface Wind VectorsOCEANS › OCEAN TEMPERATURE › SEA SURFACE TEMPERATUREOCEANS › OCEAN WINDS › WIND STRESSATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATUREOCEANS › OCEAN WINDS › SURFACE WINDSATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATURE › AIR TEMPERATUREATMOSPHERE › PRECIPITATION › PRECIPITATION RATEATMOSPHERE › ATMOSPHERIC WINDS › SURFACE WINDS › WIND DIRECTIONATMOSPHERE › ATMOSPHERIC WATER VAPOR › WATER VAPOR INDICATORS › HUMIDITY › RELATIVE HUMIDITY

Coverage & cadence

  • Time span2007-01-01 → 2014-04-01
  • Measured byMODELS (Computer) · METOP-A (ASCAT)
  • Processing levelLevel 2
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusCOMPLETE

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

This dataset contains model output interpolated in space and time to observations from the MetOp-A ASCAT (ASCAT-A) instrument (a satellite-based scatterometer), representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. These auxiliary fields are included to complement those scatterometer observations, specifically for the ASCATA_ESDR_L2_WIND_STRESS_V1.1 dataset. Model variables include: i) ocean surface wind fields from ERA-5 short-term forecast (removed from the analyses times to reduce impacts from assimilated scatterometer retrievals at the beginning of the forecast); ii) estimations of precipitation from the GPM IMERG product; iii) estimation of the surface currents from the GlobCurrent project. The fields are provided on a non-uniform grid within the sampled locations of the ASCAT-A Level 2 product, and at a nominal 12.5 km pixel resolution. Each file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit. The thumbnail shows data for two orbits - using all orbits for a single day will provide global coverage. The dataset represents the first science quality release of this product with funding from the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) cleaned up ancillary data points in between the left/right swaths for improved collocation with available satellite data, 2) improved variable metadata, 3) removed the GlobCurrent stokes drift variables, and 4) provided data source metadata including DOIs for the ERA-5, IMERGE, and GlobCurrent data sources. The primary purpose of this Version 1.1 release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).

Get the data

ascata_esdr_ancillary_l2_v1.1_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ASCATA_ESDR_ANCILLARY_L2_V1.1",
    version="1.1",
    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 POCLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.