Journal of Information Processing Systems

  • 제11권4호
  • /
  • Pages.556-572
  • /
  • 2015
  • /
  • 1976-913X(pISSN)
  • /
  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
권호 표지
DOI QR코드

DOI QR Code

Spatial Interpolation and Assimilation Methods for Satellite and Ground Meteorological Data in Vietnam

  • Do, Khac Phong (Field Monitoring Center, University of Engineering and Technology, Vietnam National University) ;
  • Nguyen, Ba Tung (Field Monitoring Center, University of Engineering and Technology, Vietnam National University) ;
  • Nguyen, Xuan Thanh (Field Monitoring Center, University of Engineering and Technology, Vietnam National University) ;
  • Bui, Quang Hung (Field Monitoring Center, University of Engineering and Technology, Vietnam National University) ;
  • Tran, Nguyen Le (Field Monitoring Center, University of Engineering and Technology, Vietnam National University) ;
  • Nguyen, Thi Nhat Thanh (Field Monitoring Center, University of Engineering and Technology, Vietnam National University) ;
  • Vuong, Van Quynh (Institute for Forest Ecology and Environment, Vietnam Forestry University) ;
  • Nguyen, Huy Lai (Faculty of Environmental Engineering and Management, School of Environment and Resources Development, Asian Institute of Technology (AIT)) ;
  • Le, Thanh Ha (Field Monitoring Center, University of Engineering and Technology, Vietnam National University)
  • 투고 : 2015.05.26
  • 심사 : 2015.06.17
  • 발행 : 2015.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents the applications of spatial interpolation and assimilation methods for satellite and ground meteorological data, including temperature, relative humidity, and precipitation in regions of Vietnam. In this work, Universal Kriging is used for spatially interpolating ground data and its interpolated results are assimilated with corresponding satellite data to anticipate better gridded data. The input meteorological data was collected from 98 ground weather stations located all over Vietnam; whereas, the satellite data consists of the MODIS Atmospheric Profiles product (MOD07), the ASTER Global Digital Elevation Map (ASTER DEM), and the Tropical Rainfall Measuring Mission (TRMM) in six years. The outputs are gridded fields of temperature, relative humidity, and precipitation. The empirical results were evaluated by using the Root mean square error (RMSE) and the mean percent error (MPE), which illustrate that Universal Kriging interpolation obtains higher accuracy than other forms of Kriging; whereas, the assimilation for precipitation gradually reduces RMSE and significantly MPE. It also reveals that the accuracy of temperature and humidity when employing assimilation that is not significantly improved because of low MODIS retrieval due to cloud contamination.

키워드

참고문헌

  1. M. B. Araujo and M. Luoto, "The importance of biotic interactions for modelling species distributions under climate change," Global Ecology and Biogeography, vol. 16, no. 6, pp. 743-753, 2007. https://doi.org/10.1111/j.1466-8238.2007.00359.x
  2. J. Miller and J. Franklin, "Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependence," Ecological Modelling, vol. 157, no. 2, pp. 227-247, 2002. https://doi.org/10.1016/S0304-3800(02)00196-5
  3. T. L. Liu, K. W. Juang, and D. Y. Lee, "Interpolating soil properties using kriging combined with categorical information of soil maps," Soil Science Society of America Journal, vol. 70, no. 4, pp. 1200-1209, 2006. https://doi.org/10.2136/sssaj2005.0126
  4. R. K. Meentemeyer, N. J. Cunniffe, A. R. Cook, J. A. Filipe, R. D. Hunter, D. M. Rizzo, and C. A. Gilligan, "Epidemiological modeling of invasion in heterogeneous landscapes: spread of sudden oak death in California (1990-2030)," Ecosphere, vol. 2, no. 2, pp. 1-24, 2011.
  5. H. Apaydin, F. K. Sonmez, and Y. E. Yildirim, "Spatial interpolation techniques for climate data in the GAP region in Turkey," Climate Research, vol. 28, no. 1, pp. 31-40, 2004. https://doi.org/10.3354/cr028031
  6. T. Wu and Y. Li, "Spatial interpolation of temperature in the United States using residual kriging," Applied Geography, vol. 44, pp. 112-120, 2013. https://doi.org/10.1016/j.apgeog.2013.07.012
  7. C. Daly, M. Halbleib, J. I. Smith, W. P. Gibson, M. K. Doggett, G. H. Taylor, J. Curtis, and P. P. Pasteris, "Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States," International Journal of Climatology, vol. 28, no. 15, pp. 2031-2064, 2008. https://doi.org/10.1002/joc.1688
  8. R. Benavides, F. Montes, A. Rubio, and K. Osoro, "Geostatistical modelling of air temperature in a mountainous region of Northern Spain," Agricultural and Forest Meteorology, vol. 146, no. 3, pp. 173-188, 2007. https://doi.org/10.1016/j.agrformet.2007.05.014
  9. S. P. Serbin and C. J. Kucharik, "Spatiotemporal mapping of temperature and precipitation for the development of a multidecadal climatic dataset for Wisconsin," Journal of Applied Meteorology and Climatology, vol. 48, no. 4, pp. 742-757, 2009. https://doi.org/10.1175/2008JAMC1986.1
  10. J. Aalto, P. Pirinen, J. Heikkinen, and A. Venalainen, "Spatial interpolation of monthly climate data for Finland: comparing the performance of kriging and generalized additive models," Theoretical and Applied Climatology, vol. 112, no. 1-2, pp. 99-111, 2013. https://doi.org/10.1007/s00704-012-0716-9
  11. V. K. Duong, D. C. Hoang, T. G. Ngo, H. S. Nguyen, and H. Q. Nguyen, "Study for building a frost and low temperature monitoring and warning model for north west region in Vietnam," in Proceedings of National Scientific Conference on Meteorology and Hydrology, Environment and Climate Change, 2012, pp. 161-167.
  12. V. K. Duong, T. T. Tran, H. Q. Nguyen, and H. S. Nguyen, "Method of zoning map of frost and low temperature in the north west of Vietnam," in Proceedings of National Scientific Conference on Meteorology and Hydrology, Environment and Climate Change, 2012, pp. 168-174.
  13. X. T. Nguyen, B. T. Nguyen, K. P. Do, Q. H. Bui, T. N. T. Nguyen, V. Q. Vuong, and T. H. Le, "Spatial interpolation of meteorologic variables in Vietnam using the Kriging method," Journal of Information Processing Systems, vol. 11, no. 1, pp. 134-147, 2015. https://doi.org/10.3745/JIPS.02.0016
  14. J. C. Jimenez-Munoz, J. A. Sobrino, C. Mattar, and B. Franch, "Atmospheric correction of optical imagery from MODIS and reanalysis atmospheric products," Remote Sensing of Environment, vol. 114, no. 10, pp. 2195-2210, 2010. https://doi.org/10.1016/j.rse.2010.04.022
  15. A. Shaban, C. Robinson, and F. El-Baz, "Using MODIS images and TRMM data to correlate rainfall peaks and water discharges from the Lebanese Coastal Rivers," Journal of Water Resource and Protection, vol. 1, no. 4, pp. 1-10, 2009. https://doi.org/10.4236/jwarp.2009.11001
  16. Z. Liu, "Comparison of precipitation estimates between Version 7 3-hourly TRMM Multi-Satellite Precipitation Analysis (TMPA) near-real-time and research products," Atmospheric Research, vol. 153, pp. 119-133, 2015. https://doi.org/10.1016/j.atmosres.2014.07.032
  17. A. Hirano, R. Welch, and H. Lang, "Mapping from ASTER stereo image data: DEM validation and accuracy assessment," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 57, no. 5-6, pp. 356-370, 2003. https://doi.org/10.1016/S0924-2716(02)00164-8
  18. X. Li, G. Cheng, and L. Lu, "Spatial analysis of air temperature in the Qinghai-Tibet Plateau," Arctic, Antarctic, and Alpine Research, vol. 37, no. 2, pp. 246-252, 2005. https://doi.org/10.1657/1523-0430(2005)037[0246:SAOATI]2.0.CO;2
  19. J. S. Yang, Y. Q. Wang, and P. V. August, "Estimation of land surface temperature using spatial interpolation and satellite-derived surface emissivity," Journal of Environmental Informatics, vol. 4, no. 1, pp. 37-44, 2004.
  20. C. Rolland, "Spatial and seasonal variations of air temperature lapse rates in Alpine regions," Journal of Climate, vol. 16, no. 7, pp. 1032-1046, 2003. https://doi.org/10.1175/1520-0442(2003)016<1032:SASVOA>2.0.CO;2
  21. C. Zhao, Z. Nan, and G. Cheng, "Methods for modelling of temporal and spatial distribution of air temperature at landscape scale in the southern Qilian mountains, China," Ecological Modelling, vol. 189, no. 1, pp. 209-220, 2005. https://doi.org/10.1016/j.ecolmodel.2005.03.016
  22. S. H. Chua and R. L. Bras, "Optimal estimators of mean areal precipitation in regions of orographic influence," Journal of Hydrology, vol. 57, no. 1, pp. 23-48, 1982. https://doi.org/10.1016/0022-1694(82)90101-9
  23. S. L. Dingman, D. M. Seely-Reynolds, and R. C. Reynolds, "Application of kriging to estimating mean annual precipitation in a region of orographic influence," Journal of the American Water Resources Association, vol. 24, no. 2, pp. 329-339, 1988. https://doi.org/10.1111/j.1752-1688.1988.tb02991.x
  24. H. Dobesch, P. Dumolard, and I. Dyras, Spatial Interpolation for Climate Data: The Use of GIS in Climatology and Meteorology. London: ISTE, 2007, pp. 87-96.
  25. M. Rodell, P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C. J. Meng, et al., "The global land data assimilation system," Bulletin of the American Meteorological Society, vol. 85, no. 3, pp. 381-394, 2004. https://doi.org/10.1175/BAMS-85-3-381