Supported the Key Project of Zhejiang Meteorological Bureau(2019ZD14).
Based on the observation data of the annual number of haze days,rainy days,fog days and gale days,sunshine hours,relative humidity and maximum wind speed at Hangzhou station from 1960 to 2021,the variation characteris...
Support by Meteorological Open Research Foundation for the Huaihe River Basin(HRM201602);Foundation for Young Scholars of Jiangsu Meteorological Bureau(Q201708,KQ201802);Science and Technology Innovation Team Foundation for Marine Meteorological Forecast Technology of Lianyungang Meteorological Bureau;Key Technology R&D Program Project of Lianyungang City(SH1634);Special Project for Forecasters of Jiangsu Meteorological Bureau(JSYBY201811,JSYBY201812,JSYBY201810)
Based on the data of daily precipitation in Lianyungang area from 1951 to 2012 and various climate signal data from the National Climate Center website and the NOAA website,a model for predicting whether the number of...
Based on days of high temperature and extremely highest temperature data in Nanxiong City during 1981-2017,combining the Provisions on the Issuance of Early Warning Signals for Sudden Meteorological Disasters in Guang...
Supported by the National Natural Science Foundation of China(41801064,71790611);the Climate Change Project of China Meteorological Administration(CCSF201843,CCSF201844);the Central Asia Atmospheric Science Research Fund(CAAS201804)
Based on data of hail days at 2 481 stations during 1961-2016,the temporal and spatial distribution characteristics and periodic variation of gale days in China and seven geographical regions were analyzed by using a ...
Supported by Key Project of Jiangxi Meteorological Bureau in 2014(201409)
Based on the conventional meteorological observation data during 1959-2014 and data of lung cancer cases of a third-grade classA tumor hospital in Nanchang City during 1997-2013,the annual variation of haze days in Na...
Supported by Project for Research of Meteorological Science and Technology of Shandong Meteorological Bureau(2016sdqxz05,2012-sdqxz01)
Based on daily precipitation data at 35 meteorological observation stations during the flood season in Shandong Province from 1961 to2012,the spatial and temporal variation characteristics of number of rainstorm days ...
Supported by Science and Technology Innovation Project of Inner Mongolia Meteorological Bureau(NMQXKJCX201115);Meteorological Innovation Team of Husbandry of Inner Mongolia Meteorological Bureau
Based on ground observation and remote sensing monitoring data,regions appropriate for mowing herbage in the dog days and autumn were predicted and assessed quantitatively,and regions appropriate for mowing herbage we...
Global warming has become a topic of widespread attention. The climate change will affect the change of agricultural climate resource,thereby affecting the agricultural planting structure,the grain yield,etc. Based on...
Based on data of cloud-to-ground lightning detected by a lightning location system in Jiangsu Province from 2007 to 2012and data of thunderstorm days from seven meteorological observation stations in Huai'an during 19...
Supported by the National Natural Science Foundation of China(41071359)
Based on data of number of fog and haze days in Baoji City from 1981 to 2013,the changing trends and mutation of number of fog and haze days in Baoji over the past 33 years were analyzed by using trend coefficient,ten...