Google Earth Engine ——Gridded Surface Meteorological 数据集提供了 1979 年以来美国本土的温度、降水、风、湿度和辐射的高空间分辨率（~4 公里）

GRIDMET: University of Idaho Gridded Surface Meteorological Dataset

The Gridded Surface Meteorological dataset provides high spatial resolution (~4-km) daily surface fields of temperature, precipitation, winds, humidity and radiation across the contiguous United States from 1979. The dataset blends the high resolution spatial data from PRISM with the high temporal resolution data from the National Land Data Assimilation System (NLDAS) to produce spatially and temporally continuous fields that lend themselves to additional land surface modeling.

This dataset contains provisional products that are replaced with updated versions when the complete source data become available. Products can be distinguished by the value of the 'status' property. At first, assets are ingested with status='early'. After several days, they are replaced by assets with status='provisional'. After about 2 months, they are replaced by the final assets with status='permanent'.

Gridded Surface Meteorological 数据集提供了 1979 年以来美国本土的温度、降水、风、湿度和辐射的高空间分辨率（~4 公里）每日表面场。该数据集将来自 PRISM 的高分辨率空间数据与高时间来自国家土地数据同化系统 (NLDAS) 的分辨率数据，以产生空间和时间连续的场，这些场有助于额外的地表建模。

此数据集包含在完整源数据可用时替换为更新版本的临时产品。可以通过“状态”属性的值来区分产品。首先，资产以 status='early' 被摄取。几天后，它们被 status='provisional' 的资产取代。大约 2 个月后，它们将被 status='permanent' 的最终资产所取代。

Dataset Availability

1979-01-01T00:00:00 - 2021-09-09T00:00:00

Dataset Provider

University of California Merced

Collection Snippet

ee.ImageCollection("IDAHO_EPSCOR/GRIDMET")

Resolution

2.5 arc minutes

Bands Table

* = Values are estimated

影像属性：

使用说明：

This work (METDATA, by John Abatzoglou) is in the public domain and is free of known copyright restrictions. Users should properly cite the source used in the creation of any reports and publications resulting from the use of this dataset and note the date when the data was acquired.

数据引用：

Abatzoglou J. T., Development of gridded surface meteorological data for ecological applications and modelling, International Journal of Climatology. (2012) doi:10.1002/joc.3413

代码：

var dataset = ee.ImageCollection('IDAHO_EPSCOR/GRIDMET')
                  .filter(ee.Filter.date('2018-08-01', '2018-08-15'));
var maximumTemperature = dataset.select('tmmx');
var maximumTemperatureVis = {
  min: 290.0,
  max: 314.0,
  palette: ['d8d8d8', '4addff', '5affa3', 'f2ff89', 'ff725c'],
};
Map.setCenter(-115.356, 38.686, 5);
Map.addLayer(maximumTemperature, maximumTemperatureVis, 'Maximum Temperature');

最大气温影像数据展示：