U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Top ARM Accomplishment: Improvements in Datasets
Published: November 18, 2010
Posted: January 11, 2011

ARM pioneered the development of “forcing” datasets using variational analysis techniques that permit cloud resolving models and single-column versions of climate models to simulate the clouds that occur at the ARM sites and thus permit direct comparison of model simulations to observations. (A “forcing” dataset quantifies the impact of the regions adjacent to the ARM site on conditions at the ARM site.) This work is summarized at: [link expired: http://science.arm.gov/wg/cpm/scm/research/docs/arm.modeling.nugget1.pdf]

ARM created a set of modeler-friendly datasets called CMBE (Climate Model Best Estimates) that can be compared directly to climate model output, unlike most ARM data which consists of daily files and multiple measurements of the same variable. This removed the main roadblock inhibiting modeler use of ARM data, which was the offputtingly long time it took modelers to understand and use ARM data. The CMBE products have been very popular with modelers.

ARM developed unique “value added products” for modelers. Particularly popular was ARCSL, which gave the vertical locations of clouds from a combination of radar, lidar, and other data, enabling modelers to test and improve their treatments for cloud vertical locations and timing. ARM also put much more effort than typical field campaigns into creating accurate radiosonde profiles of temperature and moisture, for example by removing dry biases and correcting for solar heating. These have made ARM data far more useful for the modeling community.

ARM provided the major data source the for the U.S. contribution to GCIP and in particular for the GEWEX GCIP Mississippi Basin experiment. This data was widely used for the testing and improvement of hydrological models.

GCIP=GEWEX Continental-scale International Project
ARSCL=Active Remotely Sensed Clouds Locations
M-PACE=Mixed-Phase Arctic Cloud Experiment
ISDAC=Indirect and Semi-Direct Aerosol Campaign
ARESE=ARM Enhanced Shortwave Experiment

Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Atmospheric System Research
  • Facility: DOE ARM User Facility

Division: SC-23.1 Climate and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)