Full catalog/ABoVE_Particles_WRF_AK_NWCa_1895
ABoVE_Particles_WRF_AK_NWCa_1895·v1·dataset

Modeled air-parcel paths over the Arctic (2016-2019)

ABoVE: Level-4 WRF-STILT Particle Trajectories for Circumpolar Receptors, 2016-2019
atmosphere NASA ORNL_CLOUD Level 4 netCDF-4
In plain English

What it measures. Computer-modeled paths showing where air parcels traveled before reaching aircraft and ground sites across the high Arctic during 2016-2019. Each file traces particle motion backward in time over ten days.

How it's made. Generated by a weather-and-transport model (WRF-STILT) run on computers, not by a satellite sensor, with receptor points tied to flights, flask air samples, and the OCO-2 satellite.

How & where you'd use it. Mainly a building-block input used to calculate 'footprint' maps that show where measured air came from, helping scientists trace sources of carbon and other gases.

What's measured

ATMOSPHERE › ATMOSPHERIC WINDS › WIND DYNAMICSATMOSPHERE › ATMOSPHERIC CHEMISTRY › CARBON AND HYDROCARBON COMPOUNDS › ATMOSPHERIC CARBON DIOXIDEATMOSPHERE › ATMOSPHERIC CHEMISTRY › CARBON AND HYDROCARBON COMPOUNDS › METHANECLIMATE INDICATORS › CARBON FLUX

Coverage & cadence

  • Time span2016-07-24 → 2019-12-31
  • Measured byWRF (Computer) · COMPUTERS (Computer) · OCO-2 (OCO-2)
  • Processing levelLevel 4
  • Spatial extent-180, 10, 180, 90
  • FormatsnetCDF-4
  • 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

This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory files for receptors located at positions along flight paths and at various fixed observing sites at circumpolar locations above 45 degrees North during 2016-2019. The particle files describe the motion of particles released backward in time over a 10-day period. The particle files are separated into archives by platform type (some platforms are combined) and can be characterized as either low resolution or high resolution depending on whether the subsequent footprint fields were generated on a circumpolar 0.5-degree grid (low-resolution) or both 0.5-degree and 0.1-degree grids (high-resolution). The platforms include flux towers at fixed sites, laboratory measurements of whole air samples collected by Programmable Flask Packages (PFP) onboard aircraft, and observations by NASA's Orbiting Carbon Observatory-2 satellite. These particle files were thinned to retain particle location information only when the particles have non-zero contributions to the corresponding footprint field. These particle files are used to compute the footprint fields available in a companion dataset. The particle trajectories that determine the footprint field are constrained only by the outer edges of the WRF modeling domain. Likewise, the companion footprint files are provided on a regular latitude-longitude grid. This dataset extends previous research on the atmospheric transport of land-surface emissions of greenhouse gases by the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) project. In particular, the content of the low-resolution particle files is similar to those for the CARVE dataset.

Get the data

above_particles_wrf_ak_nwca_1895_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="ABoVE_Particles_WRF_AK_NWCa_1895",
    version="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 ORNL_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.