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

BER Research Highlights

Simulation of the Madden-Julian Oscillation (MJO) in Climate Models
Published: December 07, 2009
Posted: December 18, 2009

The Madden-Julian oscillation (MJO), like the El Nino Southern Oscillation, is a pattern of climate variability that is crucial for seasonal climate prediction. The MJO is an eastward propagating pattern of anomalous rainfall that crosses the tropics in 30 to 60 days, affecting weather and climate over large portions of the Earth, especially rainfall over monsoon regions and portions of the United States. The MJO also influences the generation of hurricanes over the Atlantic and Pacific Oceans, and the onset and strength of El Nino. A study co-authored by DOE scientist Ken Sperber, uses new diagnostics to evaluate the simulation of the MJO in eight climate models. The results (1) provide new insights into the moist processes that are essential for realistic simulation of the MJO, and thus suggest aspects of model formulation that require refinement, and (2) promote the application of a standard set of analysis tools and metrics that can be used to benchmark future modeling efforts.

Reference: Kim, D., et al. 2009. "Application of MJO Simulation Diagnostics to Climate Models," Journal of Climate, 22, 6413-35.

Contact: Renu Joseph, SC-23.1, (301) 903-9237
Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling

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)