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Full catalog/Polar-VPRM_Alaskan-NEE_1314
Polar-VPRM_Alaskan-NEE_1314·v1·dataset

Carbon dioxide breathed in and out by Alaskan ecosystems

CARVE Modeled Gross Ecosystem CO2 Exchange and Respiration, Alaska, 2012-2014
biosphere NASA ORNL_CLOUD Level 3 netCDF-3
In plain English

What it measures. Estimates of how much carbon dioxide Alaska's ecosystems took in through photosynthesis and released through respiration, given every three hours at roughly 1-kilometer detail.

How it's made. Produced by a computer model (PolarVPRM) fed with weather data plus snow cover and plant-greenness measurements from MODIS, with greenness from OCO-2 and GOME-2 satellites factored in.

How & where you'd use it. Helps researchers understand the carbon balance of Alaskan landscapes and how northern ecosystems respond to the seasons.

What's measured

BIOSPHERE › ECOLOGICAL DYNAMICS › ECOSYSTEM FUNCTIONS › PRIMARY PRODUCTIONBIOSPHERE › ECOLOGICAL DYNAMICS › ECOSYSTEM FUNCTIONS › RESPIRATION RATEBIOSPHERE › ECOLOGICAL DYNAMICS › ECOSYSTEM FUNCTIONS › BIOGEOCHEMICAL CYCLESBIOSPHERE › VEGETATION › CARBON

Coverage & cadence

  • Time span2012-01-01 → 2014-12-31
  • Measured byOCO-2 (OCO SPECTROMETERS) · METOP-B (GOME-2) · METOP-A (GOME-2) · Terra (MODIS)
  • Processing levelLevel 3
  • Spatial extent-179, 55, -134, 73
  • FormatsnetCDF-3
  • StatusCOMPLETE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

This data set provides 3-hourly estimates of gross ecosystem CO2 exchange (GEE) and respiration (autotrophic and heterotrophic) for the state of Alaska from 2012 to 2014. The data were generated using the Polar Vegetation Photosynthesis and Respiration Model (PolarVPRM) and are provided at ~ 1 km2 [1/4-degree (longitude) by 1/6-degree (latitude)] pixel resolution. The PolarVPRM produces high-frequency estimates of GEE of CO2 for North American biomes from remotely-sensed data sets. For Alaska, the model used meteorological inputs from the North American regional re-analysis (NARR) and inputs of fractional snow cover and land surface water index (LSWI) from the Moderate Resolution Imaging Spectroradiometer (MODIS). Land surface greenness was factored into the model from three sources: 1) Enhanced Vegetation Index (EVI) from MODIS; 2) Solar Induced Florescence (SIF) from the Orbiting Carbon Observatory 2 (OCO-2); and 3) SIF from the Global Ozone Monitoring Experiment 2 (GOME-2). Three independent estimates of GEE are included in the data set, one for each source of greenness observations.

Get the data

polar-vprm_alaskan-nee_1314_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="Polar-VPRM_Alaskan-NEE_1314",
    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.