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Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Reference Manager ProCite BibTeX RefWorks Toggle Thumbnails Select Spatial and temporal variation of land surface temperature in Taklamakan desert WANG Yuan-hong, WU Xin-ping, ALI Mamtimin, LIU Kai-lu, LIU Yong-qiang HUBEI AGRICULTURAL SCIENCES    2022, 61 (5): 152-159.   DOI: 10.14088/j.cnki.issn0439-8114.2022.05.027 Abstract （530）      PDF （8035KB）（77）       Knowledge map    Save The surface temperature （LST） is one of the important climate variables and an important parameter of the ground-gas interaction of land surface processes. This paper used the observed data in 2017 in the hinterland of the Taklamakan desert to analyze the annual variation characteristics of surface temperature in this area. The results showed that the surface temperature in the desert hinterland had obvious seasonal changes, and the diurnal temperature fluctuated greatly. The annual average daily temperature highest value appeared in July, the lowest value appeared in January, and the day temperature variation characteristics of the four seasons were basically the same. The daily lowest temperature all appeared at 6 o’clock local time, and the highest temperature appeared at 13 o’clock. CLDAS was validated by the measured surface temperature of the applicability of the product in the desert, under the four kinds of different weather and the observation value of correlation coefficients were greater than 0.8, in clear weather, the correlation coefficient of 0.99, so using CLDAS products of the Taklamakan desert areas sunny spatial and temporal variation analysis and research, the surface temperature of the desert regions of the temperature change was highly affected by the changes in solar radiation, temperature difference between day and night 6 ℃ higher than around the desert oasis. Reference | Related Articles | Metrics Select The applicability research of WOFOST model in Dezhou city WANG Meng-meng, YANG Xue-bin, WANG Ji-shun, LAI Jian-bin HUBEI AGRICULTURAL SCIENCES    2022, 61 (5): 160-164.   DOI: 10.14088/j.cnki.issn0439-8114.2022.05.028 Abstract （372）      PDF （2074KB）（176）       Knowledge map    Save WOFOST model is developed by the Center for World Food Studies （CWFS） and Wageningen University. This research was aimed at evaluating the suitability of WOFOST model for Dezhou city. The model was calibrated to get localization parameters using the observation data in the year 2015, including biomass of winter wheat and daily light, temperature, and precipitation. And then it was validated by data in 2016. The suitability of WOFOST model for yield simulation was verified, using the yield observation data and daily weather data from 1981 to 2017. The results were as follows. The model had good simulation effect on winter wheat biomass, yield and growth period. The RMSE of the simulated and observed stalk biomass, total biomass above ground, yield were 29.3, 92.1, 86.7 g/m2, and the NRMSE were 13%, 15%, 14%, respectively. The simulation error of the growth period was no more than 4 d. It proves that corrected WOFOST model can accurately simulate the growth and yield of winter wheat in Dezhou. Reference | Related Articles | Metrics page Page 1 of 3 Total 6 records First page Prev page Next page Last page