Advertisement

Meteorology and Atmospheric Physics

, Volume 78, Issue 3–4, pp 195–204 | Cite as

Time-series analysis and forecasting of daily averaged surface pressure on Mars (VL1 and VL2 sites)

  • V. Badescu

Summary

Stationarity of daily averaged surface pressure time series on Mars can be obtained (by differencing) for short time intervals only. Large pressure variance intervals are usually associated with the dust storm season. Medium and small pressure variance intervals can be found usually during clear sky periods. General auto-regressive integrated moving average (ARIMA) models were developed for daily average pressure forecasting at Viking Lander sites. A procedure to find the “appropriate” model for a given time series was developed. It is based on various degrees of differencing the original time series and a t-statistics-assisted estimation of the significance of the fitted coefficients. A method employing the cumulative spectrum of the residuals was used to check the models. ARIMA (3,2,3) seems to be the most “appropriate” model to forecasting the daily average surface pressure on Mars.

Keywords

Dust Storm Lander Site Original Time Series Fitted Coefficient Storm Season 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • V. Badescu
    • 1
  1. 1.Candida Oancea Institute of Solar Energy, Polytechnic University of Bucharest, RomaniaRO

Personalised recommendations