NCEP-DOE Reanalysis 2 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1979 through the previous year.
NCEP-DOE Reanalysis 2项目正在使用最先进的分析/预报系统，利用1979年至前一年的过去数据进行数据同化。
Dataset Availability
1979-01-01T00:00:00 - 2021-08-31T00:00:00
Dataset Provider
NOAA
Collection Snippet
ee.ImageCollection("NOAA/NCEP_DOE_RE2/total_cloud_coverage")
Resolution
278300 meters
Bands Table
Name | Description | Min* | Max* | Units |
|---|---|---|---|---|
tcdc | Total cloud cover | 0 | 100 | % |
* = Values are estimated
数据引用：
NCEP-DOE AMIP-II Reanalysis (R-2): M. Kanamitsu, W. Ebisuzaki, J. Woollen, S-K Yang, J.J. Hnilo, M. Fiorino, and G. L. Potter. 1631-1643, Nov 2002, Bulletin of the American Meteorological Society.
代码：
代码语言：javascript复制// Import the dataset, filter the first five months of 2020.
var dataset = ee.ImageCollection('NOAA/NCEP_DOE_RE2/total_cloud_coverage')
.filter(ee.Filter.date('2020-01-01', '2020-06-01'));
// Select the total cloud cover band.
var totalCloudCoverage = dataset.select('tcdc');
// Reduce the image collection to per-pixel mean.
var totalCloudCoverageMean = totalCloudCoverage.mean();
// Define visualization parameters.
var vis = {
min: 0,
max: 80, // dataset max is 100
palette: ['black', 'white'],
};
// Display the dataset.
Map.setCenter(0, 20, 2);
Map.addLayer(totalCloudCoverageMean, vis, 'Total Cloud Coverage Data', false);
// Display a visualization image with opacity defined by cloud cover.
var visImg = totalCloudCoverageMean.visualize(vis)
.updateMask(totalCloudCoverageMean.divide(100));
Map.addLayer(visImg, null, 'Total Cloud Coverage Vis.', true);
