Forecasting Arabian Sea level rise using exponential smoothing state space models and ARIMA from TOPEX and Jason satellite radar altimeter data

Meteorological applications

article

Prashant K. Srivastava¹  Tanvir Islam³  Sudhir K. Singh⁵  George P. Petropoulos⁶  Manika Gupta¹  Qiang Dai⁷ 

[1] Hydrological Sciences, NASA Goddard Space Flight Center;Institute of Environment and Sustainable Development, Banaras Hindu University;NASA Jet Propulsion Laboratory;California Institute of Technology;K. Banerjee Centre of Atmospheric and Ocean Studies, Nehru Science Centre, University of Allahabad;Department of Geography and Earth Sciences, University of Aberystwyth;School of Geographic Science, Nanjing Normal University

关键词: sea level rise;    forecasting;    exponential models;    ARIMA;    Arabian Sea;   

DOI  :  10.1002/met.1585

学科分类：社会科学、人文和艺术（综合）

来源: Wiley

【 摘 要 】

Sea level rise is a threat to coastal habitation and is corroborating evidence for global warming. The present study investigated the combined use of quantitative forecasting methods for sea level rise using exponential smoothing state space models (ESMs) and an autoregressive integrated moving average (ARIMA) model fed with sea level data over 17 years (1994–2010). Two levels of ESMs were employed: double (model levels with trend) and triple (model levels, trend and seasonal decomposition). The overall data analysis revealed the better performance of ARIMA in terms of index of agreement ( d = 0.79), root-mean-square error (RMSE = 32.8 mm) and mean absolute error (MAE = 25.55 mm) than the triple ESM ( d = 0.76; RMSE = 39.86 mm; MAE = 35.02 mm) and double ESM ( d = 0.14; RMSE = 52.71 mm; MAE = 45.99 mm) models. The present study results suggest that the rate of Arabian Sea level rise is high, and if this is not taken into consideration many coastal areas may become subject to climate-change-induced habitat loss in future.

【 授权许可】

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