Statistics – Computation
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusmsa52a..13a&link_type=abstract
American Geophysical Union, Spring Meeting 2002, abstract #SA52A-13
Statistics
Computation
3332 Mesospheric Dynamics, 3337 Numerical Modeling And Data Assimilation, 3384 Waves And Tides
Scientific paper
One of the mission objectives of the National Aeronautics and Space Administration (NASA) Thermosphere-Ionosphere-Mesosphere, Energetics and Dynamics (TIMED) program is to determine the relative importance of various radiative, chemical, electrodynamical, and dynamical sources and sinks of energy for the thermal structure of the mesosphere, lower thermosphere, and ionosphere (MLTI) region. In this regard, the role of adiabatic cooling and heating (via vertical motions) in the net MLT thermal budget is of significant interest. In the absence of direct measurements of vertical winds from TIMED, the zonal mean meridional circulation (a measured quantity) can be used to estimate the vertical wind field through the use of continuity equation. However, any contamination of zonal mean meridional component from stochastic noise, biases, and/or tidal sources will adversely impact our computation of vertical wind field. In this study, we investigate the sensitivity of the above mentioned computation scheme for varying extent of noise, bias and tidal contributions. We have used National Center for Atmospheric Research (NCAR) thermospheric ionospheric mesospheric electrodynamics general circulation model (TIMEGCM) to create a simulated data set of meridional wind field measurements. The global estimate of mean vertical wind field is then computed using this simulated data set. Gaussian white noise, bias, and tidal components are then added to the simulated data set and the statistical ensemble of the departure of vertical wind field from its true value is computed for varying extent of "additive" contributions to the true signal.
Azeem S.
Palo S.
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