Browse > Article
http://dx.doi.org/10.7780/kjrs.2013.29.6.2

Accuracy evaluation of near-surface air temperature from ERA-Interim reanalysis and satellite-based data according to elevation  

Ryu, Jae-Hyun (Department of Spatial Information Engineering, Pukyong National University)
Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University)
Park, Eun-Bin (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.29, no.6, 2013 , pp. 595-600 More about this Journal
Abstract
In order to spatially interpolate the near-surface temperature (Ta) values, satellite and reanalysis methods were used from previous studies. Accuracy of reanalysis Ta was generally better than that of satellite-based Ta, but spatial resolution of reanalysis Ta was large to use at local scale studies. Our purpose is to evaluate accuracy of reanalysis Ta and satellite-based Ta according to elevation from April 2011 to March 2012 in Northeast Asia that includes various topographic features. In this study, we used reanalysis data that is ERA-Interim produced by European Centre for Medium-Range Weather Forecasts (ECMWF), and estimated satellite-based Ta using Digital Elevation Meter (DEM), Normalized Difference Vegetation Index (NDVI), difference between brightness temperature of $11{\mu}m$ and $12{\mu}m$, and Land Surface Temperature (LST) data. The DEM data was used as auxiliary data, and observed Ta at 470 meteorological stations was used in order to evaluate accuracy. We confirmed that the accuracy of satellite-based Ta was less accurate than that of ERA-Interim Ta for total data. Results of analyzing according to elevation that was divided nine cases, ERA-Interim Ta showed higher accurate than satellite-based Ta at the low elevation (less than 500 m). However, satellite-based Ta was more accurate than ERA-Interim Ta at the higher elevation from 500 to 3500 m. Also, the width of the upper and lower quartile appeared largely from 2500 to 3500 m. It is clear from these results that ERA-Interim Ta do not consider elevation because of large spatial resolution. Therefore, satellite-based Ta was more effective than ERA-Interim Ta in the regions that is range from 500 m to 3500 m, and satellite-based Ta was recommended at a region of above 2500 m.
Keywords
near-surface air temperature; ERA-Interim; elevation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cresswell, M.P., A.P. Morse, M.C. Thomson, and S.J. Connor, 1999. Estimating surface air temperature, from Meteosat land surface temperatures, using an empirical solar zenith angle model, International Journal of Remote Sensing, 20: 1125-1132.   DOI   ScienceOn
2 Frauenfeld, O.W., T. Zhang, and M.C. Serreze, 2005. Climate change and variability using European Centre for Medium-Range Weather Forecasts reanalysis (ERA-40) temperatures on the Tibetan Plateau, Journal of Geophysical Research, 110: D02101.
3 Han, K.S., A.A. Viau, Y.S. Kim, and J.L. Roujean, 2005. Statistical estimate of the hourly nearsurface air humidity in eastern Canada in merging NOAA/AVHRR and GOES/IMAGER observations, International Journal of Remote Sensing, 26: 4763-4784.   DOI   ScienceOn
4 Harding, D.J., D.B. Gesch, C.C. Carabajal, and S.B. Luthcke, 1999. Application of the shuttle laser altimeter in an accuracy assessment of GTOPO30, a global 1-kilometer digital elevation model, International Archives of Photogrammetry and Remote Sensing, 32: 81-85.
5 Kim, D.Y., and K.S. Han, 2012. Remotely sensed retrieval of midday air temperature considering atmospheric and surface moisture conditions, International Journal of Remote Sensing, 34: 247-263.
6 Prihodko, L., and S.N. Goward, 1997. Estimation of air temperature from remotely sensed surface observations, Remote Sensing of Environment, 60: 335-346.   DOI   ScienceOn
7 Rolland, C., 2003. Spatial and seasonal variations of air temperature lapse rates in Alpine regions, Journal of Climate, 16: 1032-1046.   DOI
8 Simmons, A.J., P.D. Jones, V. da Costa Bechtold, A.C.M. Beljaars, P.W. Kallberg, S. Saarinen, S.M. Uppala, P. Viterbo, and N. Wedi, 2004. Comparison of trends and low-frequency variability in CRU, ERA-40, and NCEP/NCAR analyses of surface air temperature, Journal of Geophysical Research: Atmospheres (1984-2012), 109: D24115.   DOI
9 Stisen, S., I. Sandholt, A. Norgaard, R. Fensholt, and L. Eklundh, 2007. Estimation of diurnal air temperature using MSG SEVIRI data in West Africa, Remote Sensing of Environment, 110: 262-274.   DOI   ScienceOn
10 Wenbin, Z., L. Aifeng, J. Shaofeng, 2013. Estimation of daily maximum and minimum air temperature using MODIS land surface temperature products, Remote Sensing of Environment, 130: 62-73   DOI   ScienceOn
11 Yan, H., J. Zhang, Y. Hou, and Y. He, 2009. Estimation of air temperature from MODIS data in east China, International Journal of Remote Sensing, 30: 6261-6275.   DOI   ScienceOn
12 You, Q., S. Kang, N. Pepin, W.A. Flugel, Y. Yan, H. Behrawan, and J. Huang, 2010. Relationship between temperature trend magnitude, elevation and mean temperature in the Tibetan Plateau from homogenized surface stations and reanalysis data, Global and Planetary Change, 71: 124-133.   DOI   ScienceOn
13 Zhao, T., W. Guo, and C. Fu, 2008. Calibrating and evaluating reanalysis surface temperature error by topographic correction, Journal of Climate, 21: 1440-1446.   DOI   ScienceOn
14 Colombi, A., C.D. Michele, M. Pepe, and A. Rampini, 2007. Estimation of daily mean air temperature from MODIS LST in Alpine areas, EARSeL eProceedings, 6: 38-46.