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Google Earth Engine——PRISM日数据集和月数据集是美国本土的网格化气候数据集,由俄勒冈州立大学的PRISM气候小组制作。网格是使用PRISM(独立坡度模型的参数-海拔回归)开发的


The PRISM daily and monthly datasets are gridded climate datasets for the conterminous United States, produced by the PRISM Climate Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather and climate vary with elevation, and account for coastal effects, temperature inversions, and terrain barriers that can cause rain shadows. Station data are assimilated from many networks across the country. For more information, see the ​​Descriptions of PRISM Spatial Climate Datasets​​.

Note

  • Warning, this dataset should not be used to calculate century-long climate trends due to non-climatic variations from to station equipment and location changes, openings and closings, varying observation times, and the use of relatively short-term networks. Please see the​​dataset documentation​​ for more details.
  • It takes time for observation networks to conduct quality control and release station data. Therefore, PRISM datasets are re-modeled several times until six months have elapsed, when they are considered permanent. A​​release schedule is available​​.
  • For use of the 30 arc-second (~800 m) version of this dataset please contact the provider at​​prism-questions@nacse.org​​.

PRISM日数据集和月数据集是美国本土的网格化气候数据集,由俄勒冈州立大学的PRISM气候小组制作。网格是使用PRISM(独立坡度模型的参数-海拔回归)开发的。PRISM插值程序模拟了天气和气候如何随海拔变化,并考虑了海岸效应、温度反转和可能导致雨影的地形障碍。站点数据来自全国各地的许多网络。欲了解更多信息,请参见PRISM空间气候数据集的描述。

注意

警告,这个数据集不应该被用来计算一个世纪的气候趋势,因为非气候的变化来自于台站设备和位置的变化,开放和关闭,不同的观测时间,以及使用相对短期的网络。更多细节请见数据集文件。
观测网络需要时间来进行质量控制和发布站点数据。因此,PRISM数据集会被重新建模数次,直到六个月后被认为是永久性的。有一个发布时间表。
如需使用该数据集的30弧秒(~800米)版本,请与提供者联系,prism-questions@nacse.org。

Dataset Availability

1895-01-01T00:00:00 - 2021-08-01T00:00:00

Dataset Provider

​​PRISM / OREGONSTATE​​

Collection Snippet

​ee.ImageCollection("OREGONSTATE/PRISM/AN81m")​

Resolution

4638.3 meters

Bands Table

Name

Description

Min*

Max*

Units

ppt

Monthly total precipitation (including rain and melted snow)

0

2639.82

mm

tmean

Monthly average of daily mean temperature (calculated as (tmin+tmax)/2)

-30.8

41.49

°C

tmin

Monthly minimum temperature

-35.11

34.72

°C

tmax

Monthly average of daily maximum temperature

-29.8

49.74

°C

tdmean

Monthly average of daily mean dew point temperature

-30.7

26.76

°C

vpdmin

Monthly average of daily minimum vapor pressure deficit

0

44.79

hPa

vpdmax

Monthly average of daily maximum vapor pressure deficit

0.009

110.06

hPa

* = Values are estimated

影像属性:

Name

Type

Description

PRISM_CODE_VERSION

List of Strings

List of code versions per-band, e.g: the first element is for the first band "ppt", the second element is for the second band "tmean"

PRISM_DATASET_CREATE_DATE

List of Strings

List of original creation dates per-band

PRISM_DATASET_FILENAME

List of Strings

List of original filenames for each band

PRISM_DATASET_TYPE

List of Strings

List of dataset types per-band

PRISM_DATASET_VERSION

List of Strings

List of dataset versions per-band e.g: D1 or D2 for daily products; M1, M2 or M3 for monthly products.

status

String

Data generated within 30 days of observation have the status "early". Data generated within 1-6 months of observation may have the status "provisional" and data older than 6 months are marked as "permanent".

引用:

​​Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K., Taylor, G.H., Curtis, J., and Pasteris, P.A. 2008. Physiographically-sensitive mapping of temperature and precipitation across the conterminous United States. International Journal of Climatology, 28: 2031-2064​​

[Daly, C., J.I. Smith, and K.V. Olson. 2015. Mapping atmospheric moisture climatologies across the conterminous United States. PloS ONE 10(10):e0141140. ​​doi:10.1371/journal.pone.0141140​​.

代码:

var dataset = ee.ImageCollection('OREGONSTATE/PRISM/AN81m')
.filter(ee.Filter.date('2018-07-01', '2018-07-31'));
var precipitation = dataset.select('ppt');
var precipitationVis = {
min: 0.0,
max: 300.0,
palette: ['red', 'yellow', 'green', 'cyan', 'purple'],
};
Map.setCenter(-100.55, 40.71, 4);
Map.addLayer(precipitation, precipitationVis, 'Precipitation');

Google Earth Engine——PRISM日数据集和月数据集是美国本土的网格化气候数据集,由俄勒冈州立大学的PRISM气候小组制作。网格是使用PRISM(独立坡度模型的参数-海拔回归)开发的_html5

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