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Change characteristics of precipitation randomness in Hainan Island based on information entropy
ZOU Haiping, ZHANG Jinghong, CHEN Xiaomin, LI Weiguang, BAI Rui, LÜ Run
Journal of Arid Meteorology    2022, 40 (4): 605-612.   DOI: 10.11755/j.issn.1006-7639(2022)-04-0605
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Based on the daily precipitation data at 18 meteorological stations of Hainan Island from 1969 to 2018, the spatio-temporal change characteristics of precipitation randomness were analyzed by using information entropy method, Mann-Kendall trend test and spatial interpolation technique of inverse distance weight. The results show that the uneveness of monthly apportionment of annual precipitation and precipitation days increased from east to west of Hainan Island. In recent 50 years, the monthly apportionment unevenness of annual precipitation and precipitation days showed an increasing trend in northern and western areas and part areas of southern Hainan Island, while it showed a decreasing trend in the rest areas on the whole. The spatial distribution of randomness of daily precipitation was significantly different in the whole year and four seasons in Hainan Island, and they were significantly and positively correlated with the proportion of rainstorm and above rainfall days. In terms of time, the randomness of daily precipitation in the whole year and four seasons increased in most cities (counties) of Hainan Island from 1969 to 2018, especially the probability of strong precipitation increased in four seasons. The rainstorms to torrential rains in central, northwestern, eastern and eastern Hainan Island should be paid enough attention in spring, summer, autumn and winter, respectively.

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Characteristics of ground-based microwave radiometer profiles under different weather conditions in Chongqing
ZOU Qian, CHEN Xiaomin, DENG Chengzhi, LONG Meixi
Journal of Arid Meteorology    2022, 40 (1): 114-124.   DOI: 10.11755/j.issn.1006-7639(2022)-01-0114
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Based on the data of microwave radiometer and radiosonde at Shapingba station in Chongqing from January 2012 to August 2014, the brightness temperature accuracy of microwave radiometer was verified by numerical simulation, and the variation characteristics of microwave radiometer retrieved products on sunny, cloudy and precipitation days were analyzed statistically. The results are as follows: (1) There was a high correlation between the brightness temperature at oxygen channel 53.85, 54.00 GHz and the temperature of radiosonde values on cloudy days, and there was also a high correlation between the simulated brightness temperature of MonoRTM model and the observed brightness temperature of microwave radiometer on sunny and cloudy days. (2) Under different weather conditions, the correlation between the temperature retrieved by microwave radiometer and radiosonde values was high. The temperature retrieved by microwave radiometer was obviously higher below 4.0 km on precipitation days, and the average absolute error below 3.8 km was less than 2 ℃ on sunny and cloudy days. The correlation between relative humidity retrieved by microwave radiometer and radiosonde values was worse than that of temperature at the same altitude. The average error of retrieved relative humidity was small at the height of 1.0-2.6 km on cloudy days, and it was also small and stable below 4.5 km on precipitation days. The average error of water vapor density retrieved by microwave radiometer was obviously larger below 4.0 km on precipitation days, while the average error on most altitude layers was smaller on cloudy days. (3) The average error of temperature retrieved by microwave radiometer below 4.2 km was large at 08:00 BST on precipitation days, but the average error of temperature and water vapor density retrieved by microwave radiometer was small on cloudy days. It showed that atmospheric profiles retrieved by microwave radiometer were available, and the inversion effect was better in stable atmospheric environment.

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Monitoring Indicator Revision and Temporal Spatial Distribution Characteristics of Agricultural Flood Disaster in Hainan Island
BAI Rui, LI Ning, CHEN Huilin, CHEN Xiaomin, ZOU Haiping, TONG Jinhe
Journal of Arid Meteorology    2019, 37 (6): 1012-1020.  
Abstract226)      PDF(pc) (1525KB)(1223)       Save
Based on the daily precipitation data and agricultural flood disaster data in Hainan Island from 1966 to 2015, the grey relation analysis method and correlation analysis method were used to revise the monitoring indicator of agricultural flood disaster. The agricultural flood disaster monitoring indicator was gradually selected by combining with historical flood records and agricultural areas suffering from agricultural flood disaster, the temporal and spatial distribution features of agricultural flood disaster were analyzed in the area for nearly 50 years using this indicator. The results are as follows:(1) The agricultural flood monitoring indicator was the initial indicator threshold plus 22 mm in Hainan Island. The agricultural flood index which was calculated by revised indicator had significant correlation with the agricultural flood-affected ratio, the inundated rate and the barren rate, and the correlation coefficients were 0.36 (P<0.05), 0.53 (P<0.01) and 0.40 (P<0.05), respectively. (2) The frequency of large agricultural flood increased relatively in the rest of the time in Hainan Island except the 1980s in which it decreased obviously. Meanwhile, the agricultural flood areas concentrated on the central and eastern regions and gradually expanded from the central and eastern regions to the northern and western regions.
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