GEE数据集——ERA5 每日再分析数据

ERA5 是对全球气候的第五代 ECMWF 大气再分析。再分析将模型数据与来自世界各地的观察结果结合成一个全球完整且一致的数据集。ERA5 取代了其前身 ERA-Interim 再分析。

ERA5 DAILY 每天提供七个 ERA5 气候再分析参数的汇总值：2m 气温、2m 露点温度、总降水量、平均海平面压力、地表压力、10m 风的 u 分量和 10m 的风分量。此外，根据每小时 2m 气温数据计算了每天 2m 处的最低和最高气温。每日总降水量值以每日总和的形式给出。所有其他参数均以每日平均值的形式提供。

ERA5 数据可从 1979 年实时获取到三个月。更多信息和更多 ERA5 大气参数可以在哥白尼气候数据存储中找到。

提供者说明：每日汇总是根据每个参数的 ERA5 小时值计算的。

ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis.

ERA5 DAILY provides aggregated values for each day for seven ERA5 climate reanalysis parameters: 2m air temperature, 2m dewpoint temperature, total precipitation, mean sea level pressure, surface pressure, 10m u-component of wind and 10m v-component of wind. Additionally, daily minimum and maximum air temperature at 2m has been calculated based on the hourly 2m air temperature data. Daily total precipitation values are given as daily sums. All other parameters are provided as daily averages.

ERA5 data is available from 1979 to three months from real-time. More information and more ERA5 atmospheric parameters can be found at the Copernicus Climate Data Store.

Provider's Note: Daily aggregates have been calculated based on the ERA5 hourly values of each parameter.

Dataset Availability

1979-01-02T00:00:00Z–2020-07-09T00:00:00

Dataset Provider

ECMWF / Copernicus Climate Change Service

Earth Engine Snippet

ee.ImageCollection("ECMWF/ERA5/DAILY")

Bands

示例代码

// Example script to load and visualize ERA5 climate reanalysis parameters in
// Google Earth Engine

// Daily mean 2m air temperature
var era5_2mt = ee.ImageCollection('ECMWF/ERA5/DAILY')
                   .select('mean_2m_air_temperature')
                   .filter(ee.Filter.date('2019-07-01', '2019-07-31'));
print(era5_2mt);

// Daily total precipitation sums
var era5_tp = ee.ImageCollection('ECMWF/ERA5/DAILY')
                  .select('total_precipitation')
                  .filter(ee.Filter.date('2019-07-01', '2019-07-31'));

// Daily mean 2m dewpoint temperature
var era5_2d = ee.ImageCollection('ECMWF/ERA5/DAILY')
                  .select('dewpoint_2m_temperature')
                  .filter(ee.Filter.date('2019-07-01', '2019-07-31'));

// Daily mean sea-level pressure
var era5_mslp = ee.ImageCollection('ECMWF/ERA5/DAILY')
                    .select('mean_sea_level_pressure')
                    .filter(ee.Filter.date('2019-07-01', '2019-07-31'));

// Daily mean surface pressure
var era5_sp = ee.ImageCollection('ECMWF/ERA5/DAILY')
                  .select('surface_pressure')
                  .filter(ee.Filter.date('2019-07-01', '2019-07-31'));

// Daily mean 10m u-component of wind
var era5_u_wind_10m = ee.ImageCollection('ECMWF/ERA5/DAILY')
                          .select('u_component_of_wind_10m')
                          .filter(ee.Filter.date('2019-07-01', '2019-07-31'));

// Convert pressure levels from Pa to hPa - Example for surface pressure
var era5_sp = era5_sp.map(function(image) {
  return image.divide(100).set(
      'system:time_start', image.get('system:time_start'));
});

// Visualization palette for total precipitation
var visTp = {
  min: 0,
  max: 0.1,
  palette: ['#FFFFFF', '#00FFFF', '#0080FF', '#DA00FF', '#FFA400', '#FF0000']
};

// Visualization palette for temperature (mean, min and max) and 2m dewpoint
// temperature
var vis2mt = {
  min: 250,
  max: 320,
  palette: [
    '#000080', '#0000D9', '#4000FF', '#8000FF', '#0080FF', '#00FFFF', '#00FF80',
    '#80FF00', '#DAFF00', '#FFFF00', '#FFF500', '#FFDA00', '#FFB000', '#FFA400',
    '#FF4F00', '#FF2500', '#FF0A00', '#FF00FF'
  ]
};

// Visualization palette for u- and v-component of 10m wind
var visWind = {
  min: 0,
  max: 30,
  palette: [
    '#FFFFFF', '#FFFF71', '#DEFF00', '#9EFF00', '#77B038', '#007E55', '#005F51',
    '#004B51', '#013A7B', '#023AAD'
  ]
};

// Visualization palette for pressure (surface pressure, mean sea level
// pressure) - adjust min and max values for mslp to min:990 and max:1050
var visPressure = {
  min: 500,
  max: 1150,
  palette: [
    '#01FFFF', '#058BFF', '#0600FF', '#DF00FF', '#FF00FF', '#FF8C00', '#FF8C00'
  ]
};


// Add layer to map
Map.addLayer(
    era5_tp.filter(ee.Filter.date('2019-07-15')), visTp,
    'Daily total precipitation sums');
Map.addLayer(
    era5_2d.filter(ee.Filter.date('2019-07-15')), vis2mt,
    'Daily mean 2m dewpoint temperature');
Map.addLayer(
    era5_2mt.filter(ee.Filter.date('2019-07-15')), vis2mt,
    'Daily mean 2m air temperature');
Map.addLayer(
    era5_u_wind_10m.filter(ee.Filter.date('2019-07-15')), visWind,
    'Daily mean 10m u-component of wind');
Map.addLayer(
    era5_sp.filter(ee.Filter.date('2019-07-15')), visPressure,
    'Daily mean surface pressure');

Map.setCenter(21.2, 22.2, 2);

展示

GEE数据集——ERA5 每日再分析数据

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