We develop a high-performance ultraviolet (UV) frequency stabilization technique implemented directly on UV diode lasers by combining the dichroic atomic vapor laser lock and the resonant transfer cavity lock. As an example, we demonstrate a stable locking with measured frequency standard deviations of approximately 200 kHz and 300 kHz for 399 nm and 370 nm diode lasers in 20 min. We achieve a long-term frequency drift of no more than 1 MHz for the target 370 nm laser within an hour, which is further verified with fluorescence count rates of a single trapped 171Yb+ ion. We also find strong linear correlations between lock points and environmental factors such as temperature and atmospheric pressure. Our approach provides a simple and stable solution at a relatively low cost, and features flexible control, high feedback bandwidth and minimal power consumption of the target UV laser.

Based on the meteorological statistics from 2014 to 2017, this paper adopts the DEA-Tobit Two Step method to estimate the innovation efficiency of China meteorological science and technology and then analyses its influencing factors. It is found that during 2014-2017, Beijing has been at the forefront in innovation efficiency of meteorological S&T, followed by Tianjin. Some other provinces and cities have a decline in technology efficiency. Therefore, pure technology inefficiency still remains a major problem faced by most provinces and cities. Meanwhile, it also reveals that innovation efficiency of meteorological S&T is significantly and positively impacted by scientific research input and academic structure, but without any significant linear interrelationship with economic development and government influence.

Agriculture is one of the areas most sensitive to climate change. Extreme climate events can directly affect agricultural production and development. Based on the data from the statistical yearbooks of 30 provinces in China from 2009 to 2019 and the survey data of meteorological forecasting, this paper uses the fixed-effect model to empirically test the impact of meteorological forecasting on agricultural economic value. The results show that meteorological forecasting has a significant promoting effect on agricultural economic value, in that an increase in the accuracy of the meteorological forecast by one percentage point will increase agricultural economic value by 0.500 percentage points, and the results still hold after a series of robustness tests. Further study showed that there were some regional differences in the agricultural economic value of the meteorological forecasting, and the meteorological forecasting had the strongest promoting effect on the agricultural economic value of the western region, followed by the eastern region and the central region.

Based on the data of 31 provinces in China from 2007 to 2017, this paper adopts the panel vector autoregression model to study the dynamic relationship between meteorological science and technology capabilities and the economic development of meteorologically sensitive industries. Research results suggest that the effect of meteorological S&T on the economic development of sensitive industries related to meteorology is not remarkable, but the later plays a positive role in promoting the former. This means there is a certain relationship between them, but the interactive effect is weak. What’s more, further research finds they cannot bring their coordination capability into fuller play and cannot achieve mutual promotion theoretically.

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