Journal of Geographical Sciences, Volume. 30, Issue 1, 18(2020)
Implications of diurnal variations in land surface temperature to data assimilation using MODIS LST data
Fig. 2. LST (a, b) and observation time (c, d) during the daytime (a, c) and nighttime (b, d) using the MOD11C1 global LST product on 1st June, 2014
Fig. 3. LST observation distributions after processing for 3-hour (a), 6-hour (b), 12-hour (c), and 24-hour (d) time intervals according to the observation time
Fig. 4. The global mean LST sequence, with time intervals of 3 hours, 6 hours, 12 hours, and 24 hours respectively
Fig. 5. From 2014 to 2015, the spatial distributions of the bias (K) of the LST simulation results for each experiment compared with GLDAS LSTs
Fig. 6. The number of grid points distributed for each bias interval, where the bias values are calculated via the simulation results for each experiment minus the GLDAS results
Fig. 7. Comparison of monthly average absolute bias values in the LST simulation results for each experiment with the GLDAS LSTs
Fig. 8. The spatial distributions of the RMSE (K) for the LST simulation results in each experiment compared with the GLDAS LST results
Fig. 9. Comparison of monthly average RMSEs in the LST simulation results of the experiments with those of the GLDAS
Fig. 10. The spatial distributions of the correlation coefficients between the LST simulation results via the experiments and the GLDAS LSTs
Fig. 11. Comparison of the correlation coefficients between the surface temperature simulation results of the experiments and the GLDAS LSTs
LST assimilation experimental design
LST assimilation experimental design
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The comparison between the LST simulation results and the GLDAS LSTs using global mean absolute bias, RMSE and correlation coefficient
The comparison between the LST simulation results and the GLDAS LSTs using global mean absolute bias, RMSE and correlation coefficient
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Comparison of monthly average absolute bias values on representative months
Comparison of monthly average absolute bias values on representative months
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Comparison of monthly average RMSE values on representative months
Comparison of monthly average RMSE values on representative months
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Comparison of monthly average correlation coefficients values on representative months
Comparison of monthly average correlation coefficients values on representative months
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Shiwen FU, Suping NIE, Yong LUO, Xin CHEN. Implications of diurnal variations in land surface temperature to data assimilation using MODIS LST data[J]. Journal of Geographical Sciences, 2020, 30(1): 18
Received: Dec. 20, 2018
Accepted: Mar. 26, 2019
Published Online: Sep. 29, 2020
The Author Email: LUO Yong (yongluo@tsinghua.edu.cn)