Full catalog/NACP_MsTMIP_Model_Driver_1220
NACP_MsTMIP_Model_Driver_1220·v1·dataset

Input weather and land data for carbon-model comparisons

NACP MsTMIP: Global and North American Driver Data for Multi-Model Intercomparison
atmosphere NASA ORNL_CLOUD Level 4 netCDF-4 classic
In plain English

What it measures. A standardized set of environmental input data for carbon-cycle models, including weather variables (rainfall, temperature, humidity, wind, radiation), atmospheric CO2, nitrogen deposition, vegetation and crop types, soil properties, and land-use change.

How it's made. Compiled and standardized from many existing data sources onto common global (0.5-degree) and North American (0.25-degree) grids, with coverage spanning 1801 to 2010.

How & where you'd use it. Built so that many different terrestrial carbon models could run on identical inputs, making their results comparable; primarily a modeling resource rather than direct observations.

What's measured

ATMOSPHERE › ATMOSPHERIC CHEMISTRY › CARBON AND HYDROCARBON COMPOUNDS › ATMOSPHERIC CARBON DIOXIDEATMOSPHERE › ATMOSPHERIC CHEMISTRY › NITROGEN COMPOUNDSATMOSPHERE › ATMOSPHERIC RADIATION › LONGWAVE RADIATIONATMOSPHERE › ATMOSPHERIC RADIATION › SHORTWAVE RADIATIONATMOSPHERE › ATMOSPHERIC TEMPERATURE › SURFACE TEMPERATURE › AIR TEMPERATUREATMOSPHERE › PRECIPITATION › PRECIPITATION AMOUNTBIOSPHERE › ECOSYSTEMS › ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS › AGRICULTURAL LANDSLAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATIONBIOSPHERE › VEGETATION › LEAF CHARACTERISTICSLAND SURFACE › SOILS › SOIL CHEMISTRYLAND SURFACE › SOILS › SOIL CLASSIFICATION

Coverage & cadence

  • Time span1700-01-01 → 2010-12-31
  • Measured byNOT APPLICABLE (NOT APPLICABLE)
  • Processing levelLevel 4
  • Spatial extent-178.75, -78.25, 179.95, 89.75
  • FormatsnetCDF-4 classic
  • 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 data set provides environmental data that have been standardized and aggregated for use as input to carbon cycle models at global (0.5-degree resolution) and regional (North America at 0.25-degree resolution) scales. The data were compiled from selected sources (Table 2) and integrated into gridded global and regional collections of climatology variables (precipitation, air temperature, air specific humidity, air relative humidity (NA only), pressure, downward longwave radiation, downward shortwave radiation, and wind speed), time-varying atmospheric CO2 concentrations, time-varying nitrogen deposition, biome fraction and type, land-use and land-cover change, C3/C4 grasses fractions, major crop distribution, phenology, multiple soil characteristics, and a land-water mask. The temporal ranges of the data are sufficient for carbon cycle model simulations from 1801 to 2010. These data were compiled specifically for the North American Carbon Program (NACP) Multi-Scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP) as the prescribed model input driver data (Huntzinger et al., 2013). The driver data were used by 22 terrestrial biosphere models to run baseline and sensitivity simulations. The standardized data provided consistent model inputs to minimize the inter-model variability caused by differences in environmental drivers and initial conditions. Together with the sensitivity simulations, the standardized input data enable better interpretation and quantification of structural and parameter uncertainties of model estimates. Data are provided in Climate and Forecast (CF) metadata convention compliant (version 1.4) netCDF-4 file formats. There are 3,152 *.nc4 data files with this data set.

Get the data

nacp_mstmip_model_driver_1220_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="NACP_MsTMIP_Model_Driver_1220",
    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.