TY  - Data
T1  - Data set of extreme warming process in Pamir Plateau at the northern end of China Pakistan Economic Corridor (1961-2017)
A1  - Yao Junqiang
A1  - Mao weifeng
A1  - Chen jing
DO  - 10.12072/ncdc.nieer.db3210.2023
PY  - 2021
DA  - 2021-01-07
PB  - National Cryosphere Desert Data Center
AB  - This data set shares 14 elements of extreme warming process in 1961-2017 at three meteorological observation stations in some regions of China in the China Pakistan Economic Corridor.This data set consists of six files (CSV), two files for each station, one is the temperature rise process data of the station, and one is the extreme temperature rise process data of the station. The data file of the warming process includes the results of all factors related to the warming process of the station from January 1, 1961 to December 31, 2017. The naming rule of the data file is: temperature rising + Meteorological Station No. + 1961-2017.csv. Each heating process includes 13 elements: starting date (year, month, day) and ending date (year) , month, day), process duration days, process warming amplitude, maximum warming amplitude of 24h, 48h and 72h in the process (if the process is less than 2D, the warming amplitude of 48h and 72h will be vacant, if less than 3D, the warming amplitude of 72h will be vacant), extreme maximum temperature of the process, and maximum daily temperature anomaly amplitude of the process. The naming rule of temperature rise process data file is: temperature rising process xxxxx 1961.csv (xxxxx represents WMO unified meteorological station number). The data volume of each file varies according to the number of temperature rise processes in the station, and the uncompressed data volume is about 253-282   KB. On this basis, the data files of extreme temperature rise process of the station are sorted out. The naming rules of data files are as follows: extreme temperature rise process per05 xxxxx 1961 CSV (xxxxx represents WMO unified meteorological station number). The elements of each temperature rise process in the files are the same as those in the previous file, with one more comprehensive strength index. The amount of file data varies according to the number of heating processes in each station. The uncompressed data file is about 15-17 KB.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/29a35423-ee77-40ae-bc4f-cb2e7a680444
ER  -