Documentation Revision Date: 2016-10-12
Data Set Version: V1
Summary
The CO2 atmospheric mole fractions have been used to simulate satellite XCO2. The meteorological observations are included to facilitate quantification of atmospheric transport uncertainty.
There are 365 WRF output data files in NetCDF (.nc4) format provided with this data set. An IDL program, illustrating location of specific latitude and longitude locations on the native Lambert Conformal grid, and a static grid information file are included as companion files.
Citation
Lauvaux, T., and M. Butler. 2016. CMS: Hourly Carbon Dioxide Estimated Using the WRF Model, North America, 2010. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1338
Table of Contents
- Data Set Overview
- Data Characteristics
- Application and Derivation
- Quality Assessment
- Data Acquisition, Materials, and Methods
- Data Access
- References
Data Set Overview
This data set contains estimated hourly CO2 atmospheric mole fractions and meteorological observations over North America for the year 2010 at a horizontal grid resolution of 27 km and vertical resolution from the surface to 50 hPa. The data are output from the Penn State WRF-Chem version of the Weather Research and Forecasting (WRF) model [Lauvaux et al. 2012] using lateral boundary conditions and surface fluxes from the CMS-Flux Inversion system [Liu et al., 2014]. These mole fractions have been used to simulate satellite XCO2. The meteorological observations are included to facilitate quantification of atmospheric transport uncertainty. An IDL program, illustrating location of specific latitude and longitude locations on the native Lambert Conformal grid, and a static grid information file are included as companion files.
Project: Carbon Monitoring System (CMS)
The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.
Acknowledgements:
Funding for this project came from the NASA Carbon Monitoring System, NNX13AP34G, Quantification of the sensitivity of NASA CMS-Flux inversions to uncertainty in atmospheric transport.
Data Characteristics
Spatial Coverage: North American domain for WRF model
Spatial Resolution: Gridded data at 27 km horizontal resolution and 59 vertical layers from the surface to 50 hPa
Temporal Coverage: Data covers the period 2010-01-01 to 2010-12-31
Temporal Resolution: Hourly
Study Area (All latitudes and longitudes are given in decimal degrees)
Site |
Westernmost Longitude |
Easternmost Longitude |
Northernmost Latitude |
Southernmost Latitude |
North America |
-151 |
-41 |
63 |
13 |
Data File Information
There are 365 WRF output files in NetCDF (.nc4) format with this data set. There is one file for each day of the year in 2010.
The files provide hourly data for total CO2, geopotential, surface pressure, U and V components of wind, and temperature.
Data File Names:
The WRF output files are named as wrfout_d01_2010-mm-dd.nc4
where:
mm=month in year 2010,
dd=day of the month
Example file name: wrfout_d01_2010-12-31.nc4
Variables in the WRF Output Files:
Table 1. Output File Variables
Variable |
Units |
Description |
TOTCO2 |
ppm |
total CO2 (sum of contributions from all fluxes plus background) |
PRESSURE |
Pa |
sum of base pressure and perturbation pressure |
GEOPOTENTIAL |
m2/s2 |
sum of base geopotential and perturbation geopotential |
TEMPERATURE |
K |
potential temperature, the sum of perturbation temperature + 300K |
PSFC |
Pa |
surface pressure |
U |
m/s |
U component of wind |
V |
m/s |
V component of wind |
Spatial Data Properties Summary:
File Name |
No Data Value |
Data Type |
Number of Bands |
Spatial Properties |
wrfout_d01_2010-01-01.nc4 |
none |
float |
23 (time) |
Geographic Coordinate Reference: WGS 84 Projection: Lambert Conformal |
wrfout_d01_2010-01-02.nc4 through wrfout_d01_2010-12-31.nc |
none |
float |
24 (time) |
Geographic Coordinate Reference: WGS 84 Projection: Lambert Conformal |
Spatial Data Properties Detail:
Spatial Representation Type: Raster Pixel Depth: 32 bit Pixel Type: float Number of Bands: first file 23, all others 24 Band Information: time (hours) Raster Format: netCDF No Data Value: none Scale Factor: 1 Offset: none
Number Columns: 248 Column Resolution: 27 km Number Rows: 182 Row Resolution: 27 km
Extent in the item's coordinate system: North: 2470.5 South: -2470.5 West: -3348 East: 3348 Spatial Reference Properties Detail
Type: Projected Geographic Coordinate Reference: WGS 84 Projection: Lambert Conformal
Open Geospatial Consortium (OGC) Well Known Text (WKT) PROJCS["WGC 84 / WRF Lambert", GEOGCS["WGS 84", DATUM["World Geodetic System 1984", SPHEROID["WGS 84",6378137.0,298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich",0.0, AUTHORITY["EPSG","8901"]], UNIT["degree",0.017453292519943295], AXIS["Geodetic longitude",EAST], AXIS["Geodetic latitude",NORTH], AUTHORITY["EPSG","4326"]], PROJECTION["Lambert_Conformal_Conic_2SP"], PARAMETER["central_meridian",-96.0], PARAMETER["latitude_of_origin",40.0], PARAMETER["standard_parallel_1",30.0], PARAMETER["false_easting",0.0], PARAMETER["false_northing",0.0], PARAMETER["standard_parallel_2",60.0], UNIT["m",1.0], AXIS["Easting",EAST], AXIS["Northing",NORTH]] |
Companion Files:
One IDL program (.pro) and one static grid file in NetCDF format (.nc) are included as companion files with this data set.
locater.pro: This IDL code provides the means for locating a specific latitude and longitude grid cell on a Lambert Conformal grid. This code requires both the static gridinfo file and a WRF output file to be in the same directory as this code. Additional documentation for file usage can be found in the comments in this code.
wrf_static_gridinfo.nc: This static grid file contains the surface elevation height above sea level (variable HGT) of each grid cell and the longitude and latitude vectors for the mass grid (for CO2) and the wind grids.
Application and Derivation
The meteorological observations were included to facilitate quantification of the atmospheric transport uncertainty in CMS Flux. Mole fractions in these files can be used to simulate satellite XCO2 using native pressure level information provided or an averaging kernel of choice.
Quality Assessment
Uncertainty analysis will be provided in another CMS data product.
Data Acquisition, Materials, and Methods
The WRF model is designed to be used for weather forecasting and atmospheric research. The output archive files provided with this data set contain a subsample of variables from a WRF run using lateral boundary conditions from a CMS Flux Inversion for CO2 study. Meteorological observations were included to quantify the atmospheric transport uncertainty in CMS Flux.
The IDL code provides a means of locating a specific latitude and longitude grid cell on a Lambert Conformal grid. This code requires both the static grid info file and a WRF output file to be in the same directory as this code.
Data Access
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
CMS: Hourly Carbon Dioxide Estimated Using the WRF Model, North America, 2010
Contact for Data Center Access Information:
- E-mail: uso@daac.ornl.gov
- Telephone: +1 (865) 241-3952
References
Lauvaux, T., et al. (2012), Constraining the CO2 budget of the corn belt: exploring uncertainties from the assumptions in a mesoscale inverse system, Atmospheric Chemistry and Physics, 12, 337-354, doi: 10.5194/acp-12-337-2012.
Liu, J., et al. (2014), Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks, Tellus B, 66, 22486, doi: 10.3402/tellusb.v66.22486.