Google Earth Engine——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。

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

* = 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：

// 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);