The RASM Climate Diagnostics provides time-step averaging output for surface meteorology (PSFC, TSK, PMSL, T2, TH2, Q2, U10, V10) and fluxes at the surface (HFX, LH, SWDNB, GLW, LWUPB, SWUPB) and fluxes at the TOA (SWUPT, SWDNT, LWUPT, LWDNT). The averaging can be set by the user with some interval of seconds, minutes, hours, days, or month. The average output file is set to use auxhist5. Additionally, diurnal averaging is provide which creates monthly averages for three hour periods of time during the day (00-03, 03-06, etc.). The diurnal average output is set to use auxhist6. The intended application for the RASM Diagnostics is for regional climate simulations and the elimination of the need to produce the high-volume and I/O intenstive instantaneous WRF history files for long duration simulations. namelist.input settings for RASM Climate Diagnostics in &time_control -settings for RASM diagnostic mean output: -flag to turn on the mean diagnostic output (1 = on, 0 = off) mean_diag = 1, -flag indicating the type of time interval for the mean frequency 1 = seconds, 2 = minutes, 3 = hours, 4 = days, 5 = monthly mean_freq = 4, -quanity of interval based on mean_freq mean_interval = 1, -use the standard WRF namelist settings for auxhist5: auxhist5_outname = "wrf_mean_d_.nc", io_form_auxhist5 = 2, frames_per_auxhist5 = 1, -settings for RASM diagnostic dirunal output: -flag to turn on the diurnal diagnostic output (1 = on, 0 = off) diurnal_diag = 1, -use the standard WRF namelist settings for auxhist5 and auxhist6: auxhist6_outname = "wrf_diurnal_d_.nc", io_form_auxhist6 = 2, frames_per_auxhist6 = 1, Note: Currently, the dirunal output is hard coded for three-hourly intervals (8 values in a day) and output in monthly files. Future modifications to the namelist.input settings will provide more flexibility. WARNING: These namelist.input settings are temporary and will be updated to new more WRF-like namelist settings in the near future. Acknoledgement: The RASM Climate Diagnostics for WRF was developed and implemented as a part of the Regional Arctic System Model (RASM) project funded by the United States Department of Energy - Regional and Global Climate Modeling Program. 09 January 2017