A detailed investigation has been conducted of the sensitivity of the NCEP atmospheric seasonal forecast model to tropical Indo-Pacific SST anomalies, with a view of identifying those tropical areas that have the greatest impact on the seasonal mean circulation over North America. A related but separate investigation has assessed the relative impact of SST anomalies in the Nino-3 and Nino-4 regions. Particular attention was paid to the nonlinear aspects of the response to the SST anomalies in these regions. It was found that the response is progressively more nonlinear as one moves farther downstream of the PNA region into the Atlantic sector. In particular, the GCM simulates the same sign of an North Atlantic Oscillation-like pattern for both positive and negative SST anomalies in Nino-4.
A study has been conducted on the extent to which the different patterns of tropical Pacific sea surface warming, which conventionally are combined into a single "El Niño" pattern, drive different climate signals. In other words, is the atmosphere sensitive to the departures of an individual El Niño event's SST forcing from the composite El Niño structure? If so, then there is more boundary-forced seasonal predictability than implied by simple ENSO composite climate signals, and prediction of the detailed SST distribution becomes especially important. This problem has been addressed by analyzing the NCEP GCM's response to the tropical Pacific SST forcing for various observed El Niños in the 1950-95 period. The GCM response consists of a 13-member ensemble of integrations, thereby ensuring detection of the climate signal for each event. The results reveal that the spatial pattern of the extratropical circulation response consists largely of a single deterministic structure. Thus, although the observed seasonally-averaged circulation anomalies differ appreciably from one El Niño event to another, these circulation differences are apparently unrelated to differences in tropical SST forcing, and thus appear unpredictable from knowledge of that forcing alone. The mechanisms for this apparent insensitivity are being explored, and the robustness of the NCEP model results are also being explored through analyses of similar experiments using other GCMs, including the GFDL and NCAR climate models.
In support of the GFDL-University Consortium project, CDC scientists have developed both a print and Web-based atlas of atmospheric fields using a recent GFDL GCM simulation. Both atlases include standard fields, such as the mean and standard deviation of precipitation, and more unique analyses, such as the model's representation of the Madden-Julian Oscillation and the mid-winter minimum in storm activity over the North Pacific Ocean. The web-based atlas, which is linked from <URL:http://www.cdc.noaa.gov/gfdl/>, consists of a series of menus that allow the user to focus on a given region, and/or specify the space and time over which the model field will be averaged. A similar web-based atlas of NCEP Reanalysis data is also available from CDC, enabling direct on-line comparisons between the GFDL GCM simulations and the reanalysis climate data.
A GFDL GCM simulation has been used to study the surface flux variability over the North Pacific and Atlantic Oceans during winter. The surface flux anomalies are organized by the low-level atmospheric circulation, in agreement with previous observational studies. Surface flux variability in the 3-10 day time band is clearly associated with mid-latitude storms. The SLP and surface flux anomalies are also strong in the 10-30 day band but are located further north, are broader in scale, and propagate ~3-4 times more slowly eastward than the synoptic disturbances. More than half of the variability occurs on sub- monthly timescales. The anomalous wind speed has the greatest influence on surface flux anomalies in the subtropics and western Pacific, while the flux anomalies are more closely associated with air temperature and moisture anomalies in the northeast Pacific and over the Atlantic north of 40N.
The following activities will continue to be performed in collaboration with scientists at NCEP's Climate Modelling Branch, the NOAA/ERL Geophysical Fluid Dynamics Laboratory (GFDL), and the Universities of Colorado and Illinois: