海岸带信息集成与战略规划研究中心知识库

(1) 中国科学院烟台海岸带研究所

With large population density, rapid urbanization process and high-speed economic development, the coastal area of China is prone to vulnerable to climate change because of the frequently nature disasters and fragile eco-environment. Based on daily maximum and minimum temperature of 156 meteorological station records from 1961 to 2014,16 extreme temperature indices including cool days (TX10p), cool nights (TN10p), warm days (TX90p), warm nights (TN90p), frost days (FD0),ice days (ID0),summer days (SU25), tropical nights (TR20), maximum value of daily maximum temperature (TXx), maximum value of daily minimum temperature (TNx), minimum value of daily maximum temperature (TXn), minimum value of daily minimum temperature (TNn), warm spell duration index (WSDI), cold spell duration index (CSDI),growing season length (GSL) and diurnal temperature range (DTR) were calculated by RCIimDex model, respectively. And Inverse Distance Weight interpolation method was employed to produce the extreme temperature raster dataset, which includes two types of raster data, the first of which refers to the multi-year average, and the other is the inter-annual magnitude in 16 extreme temperature indices in the coastal area of China during 1961-2014. With an 8.934 km spatial resolution,the dataset is archived in .tif format, including 32 sets of data files, and is compressed in 1 .zip file with the data size of 12.5 MB. Related research results of this dataset were published in the Acta Ecologica Sinica, 2017, Volume 37,Issue 21.

中国沿海地区人口密集、城市化进程快、经济发达,同时,该地区自然灾害频发、生态环境脆弱,极易受气候变化的影响。基于1961-2014年中国156个地面气象站点日尺度的最高气温和最低气温,采用RClimDex模型计算了中国沿海省区(包括14个省、自治区、直辖市、特别行政区;台湾、南海诸岛和海域的数据暂缺)极端气温指数数据。极端气温指数包括16项内容:冷昼日数(TXl0p)、冷夜日数(TNl0p)、暖昼日数(TX90p)、暖夜日数(TN90p)、霜冻日数(FD0)、冰冻日数(ID0)、夏季日数(SU25)、热夜日数(TR20 )、日最高气温的极高值(TXx)、日最低气温的极高值(TNx)、日最高气温的极低值(TXn)、日最低气温的极低值(TNn )、暖持续日数(WSDI )、冷持续日数(CSDI )、生长季长度(GSL )以及气温日较差(DTR )。根据这些指数数据,利用反距离权重插值方法研发出中国沿海省区1961-2014年极端气温栅格数据集。该数据集包括:(1 )中国沿海省区16个极端气温1961-2014年多年平均值的栅格数据;(2)中国沿海省区16个极端气温1961-2014年间年际倾向率的栅格数据。该数据集的空间分辨率为8.934 km,数据集存储为.tif格式,32组文件,数据量为12.5 MB (压缩为1个文件)。该数据集的分析研究成果发表在《生态学报》2017年第37卷第21期。