Learn More
The formulation of the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) Improvement Committee's applied air dispersion model is described. This is the first of two articles describing the model and its performance. Part I includes AERMOD's characterization of the boundary layer with computation(More)
The performance of the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) Improvement Committee's applied air dispersion model against 17 field study databases is described. AERMOD is a steady-state plume model with significant improvements over commonly applied regulatory models. The databases are(More)
should help advance understanding, simulation capabilities, and modeling of coupled vegetation–atmosphere–land surface interactions. M OTIVATION. Vegetation covers nearly 30% of Earth's land surface and influences climate through the exchanges of energy, water, carbon dioxide, and other chemical species with the atmosphere (Bonan 2008). The Earth's(More)
Acknowledgments The Agency wishes to acknowledge AERMIC (the American Meteorological Society/Environmental Protection Agency Regulatory Model Improvement Committee), members of which have given a considerable amount of time, energy and dedication over the last 10 years to develop the AERMOD air dispersion modeling system: In addition, Mr. Roger Brode of(More)
Two-dimensional 'joint' interval distributions of sequential interspike (ISIs) are a commonly used tool in neuronal spike train analysis. We present and evaluate here a modification of the joint interval plot using ranked ISIs. This modification provides clearer graphical evaluation of serial dependence in ISI sequences, a distribution-free basis for(More)
  • 1