Papers Published

1. Higgins, Wayne and Ahijevych, Dave and Amador, Jorge and Barros, Ana and Berbery, E. Hugo and Caetano, Ernesto and Carbone, Richard and Ciesielski, Paul and Cifelli, Rob and Cortez-Vasquez, Miguel and Douglas, Art and Douglas, Michael and Emmanuel, Gus and Fairall, Chris and Gochis, David and Gutzler, David and Jackson, Thomas and Johnson, Richard and King, Clark and Lang, Timothy and Lee, Myong-In and Lettenmaier, Dennis and Lobato, Rene and Magana, Victor and Meiten, Jose and Mo, Kingtse and Nesbitt, Stephen and Ocampo-Torres, Francisco and Pytlak, Erik and Rogers, Peter and Rutledge, Steven and Schemm, Jae and Schubert, Siegfried and White, Allen and Williams, Christopher and Wood, Andrew and Zamora, Robert and Zhang, Chidong, The NAME 2004 field campaign and modeling strategy, Bulletin of the American Meteorological Society, vol. 87 no. 1 (2006), pp. 79 - 94 [BAMS-87-1-79] .
   (last updated on 2007/04/08)

   Abstract:
   The North American Monsoon Experiment (NAME) is an internationally coordinated process study aimed at determining the sources and limits of predictability of warm-season precipitation over North America. The scientific objectives of NAME are to promote a better understanding and more realistic simulation of warm-season convective processes in complex terrain, intraseasonal variability of the monsoon, and the response of the warm-season atmospheric circulation and precipitation patterns to slowly varying, potentially predictable surface boundary conditions. During the summer of 2004, the NAME community implemented an international (United States, Mexico, Central America), multiagency (NOAA, NASA, NSF, USDA) field experiment called NAME 2004. This article presents early results from the NAME 2004 campaign and describes how the NAME modeling community will leverage the NAME 2004 data to accelerate improvements in warm-season precipitation forecasts for North America. ©2005 American Meteorological Society.

   Keywords:
   Moisture;Wind;Rain;Climatology;Meteorological radar;Imaging techniques;Computer simulation;