Understanding the variation characteristics and possible causes of lake-land breeze speed in Dongting Lake under large-scale climate background is of reference significance for the development and utilization of wind energy resources,water transportation and disaster prevention and reduction. The hourly wind direction and wind speed data at Yueyang Station from 1954 to 2021 are used to analyze the wind speed characteristics and long-term trends of the shoreline and lake-land wind by using the linear tendency estimation,Mann-Kendall mutation detection and sliding t-test methods. The results show that about the wind direction and wind speed characteristics of the four times,02:00,08:00 and 20:00 (Beijing time,the same as below) were almost the same,and the easterly wind and land breeze were dominant,while the westerly wind and lake breeze prevailed at 14:00,and the wind speed at 14:00 was significantly higher than other times. At the inter-annual scale,the variation trend of lakeshore and lake-land wind speed was consistent at four times,both the wind speeds at four times and the land breezes at 02:00,08:00 and 20:00 all showed an obvious decreasing trend,while the change of the lake breeze at 14:00 was not significant. For monthly scale,the wind speed peaks at 02:00,08:00 and 14:00 were all in July,and at 14:00 in winter months land breezes were dominated,and in other months it was dominated by lake breezes. It was dominated by land breezes at 02:00,08:00 and 20:00 in each month,and lake breeze speed was the highest in flood season throughout the year. On the hourly scale,the variation trend of hourly wind speed from 2004 to 2021 was basically the same as that of the lake-land breezes. The frequency of the land breezes was higher than that of the lake breezes,and the wind speed was larger and lake breeze was dominated from 10:00 to 17:00,and the lake breezes with a duration of 3 to 10 hours occurred from 09:00 to 18:00 in each month. The mutation tests find that the wind speed at four times decreased significantly from the 1970s,but only at 14:00 it changed abruptly around 1970,and the abrupt changes of the lake-land breeze speeds at four times occurred in 2002 or 2003. The increase of lake breeze speed and short-term wind speed caused by the change of detection environment can not change the long-term decrease trend of wind speed,and the change of instruments has little effect on wind speed and lake-land wind speed.
Based on long-term remote sensing products, this paper constructs evaluation indicators for surface high temperatures and analyzes the distribution characteristics of surface high temperatures in Hunan Province over the past 20 years, aiming to provide technical references for agricultural production, disaster prevention and mitigation. Firstly, the daily surface high temperature dataset are calculated using long-term data regression of MYD11A1, MYD13A1 and MYD09GA from 2002 to 2021. The percentage method, percentile method and trend ratio method are used to construct remote sensing evaluation indicators for surface high temperatures, then the spatial and temporal distribution characteristics of surface high temperatures are analyzed. The results indicate that when using the proportion of areas with daily surface temperatures greater than or equal to 45 ℃ as the threshold for classifying surface high temperature levels on a daily scale, it aligns best with meteorological warning indicators. The annual maximum surface high temperature in Hunan Province showed a significant increase with 2013 as a turning point. The extreme threshold for annual surface high temperatures in Hunan Province (ranging from 40.2 to 64.1 ℃), determined using the percentile method, can serve as an evaluation metric for high temperature intensity. Additionally, using the trend rate of surface high temperatures in Hunan Province to evaluate the increase or decrease trends of annual surface high temperatures has good application value. Rapid warming in the Changsha-Zhuzhou-Xiangtan urban agglomeration and the Dongting Lake area, as well as extreme high temperatures in the Hengshao drought corridor, require special attention in the future.