Cloud Resolving Model

This page is built to help automatically produce qualified inputs for Cloud Resolving Model application in Cyberinfrastructure. Prof. Xiaoqing Wu from Iowa State University provides the interior algorithms and codes which perform the actual data transformation processing.

CSU array-averaged analysis products

These data products were created by objectively analyzing upper-air sonde data onto a regular 1-degree, 25-hPa grid using multiquadric interpolation. The gridded data fields were then averaged over the Northern Sounding Array (NSA) and Southern Sounding Arrays (SSA). The NSA analyses were strongly modulated by MJO signal while SSA analyses were modulated more by ITCZ convection. Default input files of Indian Ocean:

Time period: 1 October - 31 Decemeber 2011, 6-hr resolution unless noted otherwise