Analyses data of MIROC-AGCM for
Effects of mid-latitude oceanic fronts on the middle atmosphere
through upward propagating atmospheric waves
Y. Kawatani, H. Nakamura, S. Watanabe and K. Sato

Please contact Yoshio Kawatani if needed
kawatani@ees.hokudai.ac.jp

Real 4-byte data (XXX.grd) & Control files (XXX.ctl) that include information of longitude, latitude, height, time & valuables.

For valuabule,
CTL: control run
NF: no front run
ST: statistical confidence by student' t

Here are data summary.
Except SST.grd & DIV_s12106_45S100hPa.grd, all data are June-July-August mean.
All figures and analyses in the present paper could be done using these dataset.

T_P29.grd: 3-D Temperature with 29 pressure levels

PRCP.grd: 2-D precipitation

UV_s411_P14.grd: u'v' with zonal wavenumber s=4 to s=11.

FAIW_s12106.grd: vertical components of energy flux with s=12-106

utenddivf.grd: EP-flux divergece. Full, s=1-3, s=4-11, s=12-106 are included; see control file

Uzm_P168.grd: zonal mean zonal wind with 168 pressure levels

Tzm_P168.grd: zonal mean temperature with 168 pressure levels

psistar_P168.grd: stream function of residual circulation with 168 pressure levels

ROuwed_s12106.grd: density*u'w' with 168 pressure levels

SST.grd: monthly mean sea surface temperature used in the present simulations

UVzm_s411_P168.grd: zonal mean u'v' with s=4-11

VTzm_s411_P168.grd: zonal mean v'T' with s=4-11

DIV_s12106_45S100hPa.grd: hourly data of horizontal wind divergence with s=4-11 at 45S & 100hPa in August of 11th model year