Abstract
Time series of MODIS land surface temperature (T s) and normalized difference vegetation index (NDVI) products, combined with digital elevation model (DEM) and meteorological data from 2001 to 2012, were used to map the spatial distribution of monthly mean air temperature over the Northern Tibetan Plateau (NTP). A time series analysis and a regression analysis of monthly mean land surface temperature (T s) and air temperature (T a) were conducted using ordinary linear regression (OLR) and geographical weighted regression (GWR). The analyses showed that GWR, which considers MODIS T s, NDVI and elevation as independent variables, yielded much better results [R2 Adj > 0.79; root-mean-square error (RMSE) = 0.51°C–1.12°C] associated with estimating T a compared to those from OLR (R 2 Adj = 0.40−0.78; RMSE = 1.60°C–4.38°C). In addition, some characteristics of the spatial distribution of monthly T a and the difference between the surface and air temperature (T d) are as follows. According to the analysis of the 0°C and 10°C isothermals, T a values over the NTP at elevations of 4000–5000 m were greater than 10°C in the summer (from May to October), and T a values at an elevation of 3200 m dropped below 0°C in the winter (from November to April). T a exhibited an increasing trend from northwest to southeast. Except in the southeastern area of the NTP, T d values in other areas were all larger than 0°C in the winter.
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References
Good, E., 2015: Daily minimum and maximum surface air temperatures from geostationary satellite data. J. Geophys. Res.-Atmos., 120, 2306–2324.
He, J., and K. Yang, 2011: China meteorological forcing dataset. Cold and Arid Regions Science Data Center at Lanzhou, doi: 10.3972/westdc.002.2014.db. (in Chinese)
Hengl T., G. B. M. Heuvelink, M. P. Tadić, and E. J. Pebesma, 2012: Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images. Theor. Appl. Climatol., 107, 265–277.
Hijmans, R. J., S. E. Cameron, J. L. Parra, P. G. Jones, and A. Jarvis, 2005: Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965–1978.
Huang, F. F., W. Q. Ma, M. S. Li, and Y. M. Ma, 2016: Analysis on responses of land surface temperature on the Northern Tibetan Plateau to climate change. Plateau Meteorology, 35, 55–63. (in Chinese with English abstract)
IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Stocker et al., Eds., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp, doi: 10.1017/CBO9781107415324.
Kilibarda, M., T. Hengl, G. B. M. Heuvelink, B. Gräler, E. Pebesma, M. P. Tadić, and B. Bajat, 2014: Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution. J. Geophys. Res.-Atmos., 119, 2294–2313.
Li, M. S., Y. M. Ma, W. Q. Ma, H. Ishikawa, F. L. Sun, and S.-Y. Ogino, 2011: Structural difference of atmospheric boundary layer between dry and rainy seasons over the Central Tibetan Plateau. Journal of Glaciology and Geocryology, 33, 72–79. (in Chinese with English abstract)
Li, S. D., and G. D. Cheng, 1996: Map of Frozen Ground on Qinghai-Xizang Plateau. Lanzhou: Gansu Culture Press. (in Chinese)
Ma, W. Q., Y. M. Ma, and B. Su, 2011: Feasibility of retrieving land surface heat fluxes from ASTER data using SEBS: A case study from the NamCo area of the Tibetan Plateau. Arctic, Antarctic, and Alpine Research, 43, 239–245.
Ma, W. Q., Y. M. Ma, and H. Ishikawa, 2014: Evaluation of the SEBS for upscaling the evapotranspiration based on in-situ observations over the Tibetan Plateau. Atmospheric Research, 138, 91–97.
Ma, Y. M., T. D. Yao, J. M. Wang, Z. Y. Hu, H. Ishikawa, W. Q. Ma, M. Menenti, and Z. B. Su, 2006a: The study on the land surface heat fluxes over heterogeneous landscape of the Tibetan Plateau. Advances in Earth Science, 21, 1215–1223. (in Chinese with English abstract)
Ma, Y. M., L. Zhong, Z. B. Su, H. Ishikawa, M. Menenti, and T. Koike, 2006b: Determination of regional distributions and seasonal variations of land surface heat fluxes from Landsat-7 Enhanced Thematic Mapper data over the central Tibetan Plateau area. J. Geophys. Res.-Atmos., 111, D10305, doi: 10.1029/2005JD006742.
Mostovoy, G. V., R. L. King, K. R. Reddy, V. G. Kakani, and M. G. Filippova, 2006: Statistical estimation of daily maximum and minimum air temperatures from MODIS LST data over the state of Mississippi. Geoscience & Remote Sensing, 43, 78–110.
Nieto, H., I. Sandholt, I. Aguado, E. Chuvieco, and S. Stisen, 2011: Air temperature estimation with MSG-SEVIRI data: Calibration and validation of the TVX algorithm for the Iberian Peninsula. Remote Sensing of Environment, 115, 107–116.
Ren, G. Y., Y. Y. Ren, Q. X. Li, and W. H. Xu, 2014: An overview on global land surface air temperature change. Advances in Earth Science, 29, 934–946. (in Chinese with English abstract)
Ren, Y., X. Q. Zhang, and L. L. Peng, 2010: Construction and analysis of mean air temperature anomaly series for the Qinghai-Xizang Plateau during 1951–2006. Plateau Meteorology, 29, 572–578. (in Chinese with English abstract)
Savage, M. J., C. S. Everson, and B. R. Metelerkamp, 2009: Bowen ratio evaporation measurement in a remote montane grassland: Data integrity and fluxes. J. Hydrol., 376, 249–260.
Smith, T. M., R. W. Reynolds, T. C. Peterson, and J. Lawrimore, 2008: Improvements to NOAA’s historical merged land-ocean surface temperature analysis (1880–2006). J. Climate, 21, 2283–2296.
Sun, H., Y. H. Chen, A. D. Gong, X. Zhao, W. F. Zhan, and M. J. Wang, 2014: Estimating mean air temperature using MODIS day and night land surface temperatures. Theor. Appl. Climatol., 118, 81–92.
Sun, Y.-J., J.-F. Wang, R.-H. Zhang, R. R. Gillies, Y. Xue, and Y.-C. Bo, 2005: Air temperature retrieval from remote sensing data based on thermodynamics. Theor. Appl. Climatol., 80 (1), 37–48.
Wang, A. H., and X. B. Zeng, 2015: Global hourly land surface air temperature datasets: Inter-comparison and climate change. International Journal of Climatology, 35, 3959–3968.
Yao, Y. H., and B. P. Zhang, 2013: MODIS-based estimation of air temperature and heating-up effect of the Tibetan Plateau. Acta Geographica Sinica, 68, 95–107. (in Chinese with English abstract)
Zhang, W. G., S. X. Li, T. H. Wu, and Q. Q. Pang, 2007: Changes and spatial patterns of the differences between ground and air temperature over the Qinghai-Xizang Plateau. Journal of Geographical Sciences, 17, 20–32.
Zhang, W., Y. Huang, Y. Q. Yu, and W. J. Sun, 2011: Empirical models for estimating daily maximum, minimum and mean air temperatures with MODIS land surface temperatures. Int. J. Remote Sens., 32, 9415–9440.
Acknowledgements
This study was funded by the Chinese Academy of Science “Hundred Talents” program (Dr. Weiqiang MA), the National Natural Science Foundation of China (Grant Nos. 41375009, 91337212, 41275010 and 41522501 and 41661144043), Study on long term changes of surface heat source in northern Tibetan Plateau and its thermal effect on the plateau monsoon system (Dr. Zeyong HU; Grant No. 91537101), the China Meteorological Administration Special Fund for Scientific Research in the Public Interest (Grant No. GYHY201406001), and the EU-FP7 project “CORECLIMAX” (Grant No. 313085).
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Huang, F., Ma, W., Wang, B. et al. Air temperature estimation with MODIS data over the Northern Tibetan Plateau. Adv. Atmos. Sci. 34, 650–662 (2017). https://doi.org/10.1007/s00376-016-6152-5
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DOI: https://doi.org/10.1007/s00376-016-6152-5