数据网址:https://data.noaa.gov/onestop/collections/details/76b57d37-a2a1-4179-9748-bb629d424c1b 如果你不想自行下载,请戳下面,备注:全球地表温度 全球地表温度月值数据集(1980-2022) NOAAGlobalTemp 链接:https://pan.baidu.com/s/1310VRev5EWZfIJc-KT94Sg 提取码:请一键三连,后台踢踢 【腾讯文档...
NOAA全球气象数据下载地址:https://www.ncei.noaa.gov/data/global-summary-of-the-day/archive/ 气象数据字段属性说明:https://www.ncei.noaa.gov/data/global-summary-of-the-day/doc/readme.txt 本文所有代码下载地址:https://gitee.com/liuyueming/noaa.git 在学习Python的过程中接触到一个项目要求分析气象...
一共有28个字段分别代表的意思如下,翻译可能不准确,可以查看官方的字段说明:https://www.ncei.noaa.gov/data/global-summary-of-the-day/doc/readme.txt `station` char(11) NOT NULL COMMENT '站点ID', `date` date NOT NULL COMMENT '日期', `latitude` float DEFAULT NULL COMMENT '纬度...
max:20,palette:temp_palette},'tmin, daily')Map.addLayer(nclimgrid_d_i.select('tmax'),{min:-20,max:20,palette:temp_palette},'tmax, daily')Map.addLayer(nclimgrid_d_i.select('tavg'),{min:-20,max:20,palette
OISST_data %>% filter(t == "2016-8-15") %>% # 可视化 2016年8月15日的SST分布 ggplot(aes(x = lon, y = lat)) + geom_tile(aes(fill = temp)) + # borders() + # Activate this line to see the global map scale_fill_viridis_c() + coord_quickmap(expand = F) + labs(x = ...
tropical cyclone in some basins–an increase that would be substantially larger in percentage terms than the 2-11% increase in the average storm intensity. This increase in intense storm occurrence is projected despite a likely decrease (or little change) in the global numbers of all tropical ...
The geostationary satellite data (GridSat-B1) provides data from 3 channels: the CDR-quality infrared window (IRWIN) channel (near 11μm), the visible channel (near 0.6μm) and the infrared water vapor (IRWVP) channel (near 6.7μm). The GridSat-B1 data is projected onto a global 0.07...
The geostationary satellite data (GridSat-B1) provides data from 3 channels: the CDR-quality infrared window (IRWIN) channel (near 11μm), the visible channel (near 0.6μm) and the infrared water vapor (IRWVP) channel (near 6.7μm). The GridSat-B1 data is projected onto a global 0.07...
It appears that the “warmest ever” January might simply have been influenced by Russian temperature data warmed up by waste heat. Maybe the U.S. House of Representatives will start an inquiry into Russian collusion to interfere with global temperature data and climate change legislati...
The geostationary satellite data (GridSat-B1) provides data from 3 channels: the CDR-quality infrared window (IRWIN) channel (near 11μm), the visible channel (near 0.6μm) and the infrared water vapor (IRWVP) channel (near 6.7μm). The GridSat-B1 data is projected onto a global 0.07...