https://www.ncei.noaa.gov/access/services/data/v1?dataset=daily-summaries&stations=CHM00057083&startDate=2016-01-01&endDate=2020-04-30&dataTypes=PRCP,SNOW,SNWD,TMAX,TMIN,TAVG 会返回csv格式的文件下载。 API调用天气数据的好处 ,一是可以同时调用多个气象站的数据 ,二是数据时间范围可控 ,三是调取...
rigorous quality tests are routinely applied for GHCN-Daily, the database excludes the original quality flags from the source agencies.The extraction of climate variables from the GHCN-Daily database can be challenging for novice users and may thus dissuade from the uptake of this valuable dataset...
Although the underlying structure of the dataset is significantly different than version 2, conclusions regarding the rate of warming in global land surface temperature are largely unchanged. The version 3 dataset has already provided a foundation for the more ambitious version 4. An experimental ...
Official Documentation For Data ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/readme.txt National Climatic Data Center Data Topic GHCN-D is a dataset that contains daily observations over global land areas. Like its monthly counterpart, GHCN-Daily is a composite of climate records from numerous ...
Code Issues Pull requests Python script to import the NOAA Global Historical Climate Network Daily (GHCN-D) for big data anlaysisnetwork climate noaa dataset daily import global historical ghcn ghcn-d Updated Feb 1, 2021 Python mgimond / meteo_ghcn Star 1 Code Issues Pull requests ...
GHCN version 4 beta is available. Using the GHS population dataset the ~27000 GHCNV4 sites were filtered to collect only rural stations. GHS combines two datasets, a 10meter built surface satellite dataset and a human population dataset. https://ghsl.jrc
Global Historical Climatology Network - Daily is a dataset from NOAA that contains daily observations over global land areas. It contains station-based measurements from land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include,...
We find that daily precipitation in the ERA5 dataset is comparable to GHCN observations in the northeastern United States and its gridded spatial continuity has advantages over in-situ point precipitation measurements for regional modeling applications. 展开全部 ...
结果表明:(1)GHCN-CAMS(Global Historical Climatology Network and the Climate Anomaly Monitoring System)和CMFD(China Meteorological Forcing Dataset)2套再分析资料对宁夏气温的反映能力整体上均较强,前者对宁夏气温略高估,后者略低估;(2)年和月2种时间尺度上,2种尺度的再分析资料存在阶段性正偏差和负偏差,且年...