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ULDB Trajectory Simulation

 
 

Environment Data for ULDB TrajSim Sample Results

 

The CPC/ACDB environment data set was used to generate the sample trajectories shown on this website. The raw stratospheric data (70 - 0.4 mb) in the CPC/ACDB data set are produced by the NCEP Climate Prediction Center (CPC) from satellite retrievals. Analysis of the raw stratospheric data is accomplished by a successive corrections method. The analyses represent daily (12Z) "snapshots" of the state global atmosphere. Winds are derived from geopotential heights using a balanced wind approximation.

The analyses provided in the CPC/ACDB data set are not "assimilations," i.e., they are not generated in conjunction with a running General Circulation Model (GCM).

The atmospheric parameters pressure, temperature, zonal wind, and meridional wind are given on a three-dimensional global grid (5 deg. longitude X 2 deg. latitude X 18 vertical levels) that extends from the surface to 0.4 hPa.

We selected a subset of the environment data for the example trajectories shown on these pages. The selected dates provide both winter and summer trajectories during periods where there are no gaps in the data set. The selected year (1981) is one of the first available years in the data set. In time, we will investigate trajectories for later dates.

At any given postion in the atmosphere that does not fall exactly on a CPC/ACDB data set gridpoint, there are eight surrounding data points. The TrajSim software interpolates the CPC/ACDB model environment in four dimensions.

Spatially, temperature and wind values are interpolated linearly to the surrounding gridpoints with weighting factors calculated from the distance between the desired position and eight surrounding data set gridpoints. Pressure is interpolated in the vertical dimension, appropriately, logarithmically. Temporally, all quantities are interpolated linearly.

Future TrajSim work will use higher-resolution data from two sources: the NASA/GSFC/Data Assimilation Office (DAO) and the United Kingdom Meteorological Office (UKMO). Both organizations use general circulation models and data assimilation systems to produce near-real-time "snapshots" of the state of the atmosphere. Forecasting capabilities are available from both organizations.