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Research Article

Daily mean air temperature estimation from MODIS land surface temperature products based on M5 model tree

  1. Saeed Emamifar1,
  2. Ali Rahimikhoob1,*,
  3. Ali Akbar Noroozi2

Article first published online: 7 FEB 2013

DOI: 10.1002/joc.3655

Additional Information

How to Cite

Emamifar, S., Rahimikhoob, A. and Noroozi, A. A. (2013), Daily mean air temperature estimation from MODIS land surface temperature products based on M5 model tree. Int. J. Climatol.. doi: 10.1002/joc.3655

Author Information

  1. 1

    Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran, Tehran, Iran

  2. 2

    Soil Conservation & Watershed Management Research Center, Tehran, Iran

*Correspondence to: A. Rahimikhoob, Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran, Iran. E-mail: akhob@ut.ac.ir

Publication History

  1. Article first published online: 7 FEB 2013
  2. Manuscript Accepted: 11 JAN 2013
  3. Manuscript Revised: 4 NOV 2012
  4. Manuscript Received: 19 JUL 2012

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Keywords:

  • air temperature;
  • M5 model tree;
  • MODIS-Terra sensor;
  • Iran

ABSTRACT

The use of satellite data to estimate air temperature (Ta) near the Earth's surface has become an effective way for a large area with high spatial and temporal resolution. In this study, M5 model tree was used to estimate Ta in Khuzestan province (in the southwest of Iran) using satellite remotely sensed land surface temperature (Ts) data acquired by the MODerate Resolution Imaging Spectroradiometer (MODIS)-Terra sensor. The input variables for the M5 model tree were the daytime and nighttime MODIS Ts, extraterrestrial solar radiation and Julian day. A total of 365 images of MOD11A1 Ts product for the year 2007, covering the area of this study were collected from the Land Processes Distributed Active Archive Center (LP DAAC). The results of this study showed that mean daily Ta can be estimated with acceptable levels of the statistical indicators from MODIS data and from the two geographic parameters using the M5 model. Root mean square error and R2 for the comparison between observed and estimated Ta for the tested data are 2.3 and 0.96 °C, respectively. Copyright © 2013 Royal Meteorological Society

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