Google Earth Engine——GRACE Tellus月度质量网格提供了相对于2004-2010年时间平均基线的月度引力异常值

简介: Google Earth Engine——GRACE Tellus月度质量网格提供了相对于2004-2010年时间平均基线的月度引力异常值

GRACE Tellus Monthly Mass Grids provides monthly gravitational anomalies relative to a 2004-2010 time-mean baseline. The data contained in this dataset are units of "Equivalent Water Thickness" which represent the deviations of mass in terms of vertical extent of water in centimeters. See the provider's Monthly Mass Grids Overview for more details.


This dataset is a filtered version of the GRACE Tellus (GRCTellus) Ocean dataset. The 'EOFR' bottom pressure (OBP) grids are obtained by projecting the data from the regular GRC Ocean grids product onto the Empirical Orthogonal Functions (EOFs) of the Ocean Model for Circulation and Tides (OMCT). This effectively filters out signals in the GRACE data that are inconsistent with the physics and OBP variations in the OMCT ocean model.

The EOFR filtered reconstructed OBP fields agree better with radar altimetric sea surface height, reduce leakage around ice sheets and glaciers, and reduce noise in the mid latitudes where OBP variability is lower. (Chambers and Willis, 2010)

Note

  • The GRCTellus Ocean datasets are optimized to examine regional ocean bottom pressure, but NOT intended to be spatially averaged to determine global mean ocean mass.


GRACE Tellus月度质量网格提供了相对于2004-2010年时间平均基线的月度引力异常值。该数据集所包含的数据是以 "等水厚度 "为单位,以厘米为单位表示水的垂直范围的质量偏差。更多细节见提供者的月度质量网格概述。

该数据集是GRACE Tellus(GRCTellus)海洋数据集的过滤版本。EOFR "底压(OBP)网格是通过将常规GRC海洋网格产品的数据投射到海洋环流和潮汐模型(OMCT)的经验正交函数(EOFs)上获得的。这有效地过滤了GRACE数据中与OMCT海洋模型中的物理学和OBP变化不一致的信号。

EOFR过滤后重建的OBP场与雷达测高的海面高度更加一致,减少了冰原和冰川周围的泄漏,并减少了OBP变化较小的中纬度地区的噪声。(Chambers and Willis, 2010)

GRCTellus海洋数据集被优化为检查区域海洋底层压力,但不打算在空间上平均化以确定全球平均海洋质量。

Dataset Availability

2002-12-31T00:00:00 - 2017-01-05T00:00:00

Dataset Provider

NASA Jet Propulsion Laboratory

Collection Snippet

ee.ImageCollection("NASA/GRACE/MASS_GRIDS/OCEAN_EOFR")

Resolution

111320 meters

Bands Table

Name Description Min* Max* Units
lwe_thickness_csr Equivalent liquid water thickness in centimeters calculated by CSR. -18.46 12.29 cm
lwe_thickness_gfz Equivalent liquid water thickness in centimeters calculated by GFZ. -15.37 14.56 cm
lwe_thickness_jpl Equivalent liquid water thickness in centimeters calculated by JPL. -16.59 11.7 cm


* = Values are estimated

属性:

Name Type Description
CSR_END_TIME Double End date in milliseconds of spherical harmonics solution from CSR.
CSR_START_TIME Double Start date in milliseconds of spherical harmonics solution from CSR.
GFZ_END_TIME Double End date in milliseconds of spherical harmonics solution from GFZ.
GFZ_START_TIME Double Start date in milliseconds of spherical harmonics solution from GFZ.
JPL_END_TIME Double End date in milliseconds of spherical harmonics solution from JPL.
JPL_START_TIME Double Start date in milliseconds of spherical harmonics solution from JPL.


引用:

D.P. Chambers. 2012. GRACE MONTHLY OCEAN MASS GRIDS NETCDF RELEASE 5.0. Ver. 5.0. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/TEOCN-0N005.

Chambers, D.P. and J.A. Bonin: Evaluation of Release 05 time-variable gravity coefficients over the ocean. Ocean Science 8, 859-868, 2012. OS - Evaluation of Release-05 GRACE time-variable gravity coefficients over the ocean.

Chambers D.P. and J. K. Willis: A Global Evaluation of Ocean Bottom Pressure from GRACE, OMCT, and Steric-Corrected Altimetry. J. of Oceanic and Atmosph. Technology, vol 27, pp 1395-1402. doi:10.1175/2010JTECHO738.1, 2010.

代码:

var dataset = ee.ImageCollection('NASA/GRACE/MASS_GRIDS/OCEAN')
                  .filter(ee.Filter.date('2016-08-01', '2016-08-30'));
var equivalentWaterThicknessCsr = dataset.select('lwe_thickness_csr');
var equivalentWaterThicknessCsrVis = {
  min: -10.0,
  max: 10.0,
};
Map.setCenter(6.746, 46.529, 1);
Map.addLayer(
    equivalentWaterThicknessCsr, equivalentWaterThicknessCsrVis,
    'Equivalent Water Thickness CSR');


相关文章
|
7月前
|
数据可视化 定位技术 Sentinel
如何用Google Earth Engine快速、大量下载遥感影像数据?
【2月更文挑战第9天】本文介绍在谷歌地球引擎(Google Earth Engine,GEE)中,批量下载指定时间范围、空间范围的遥感影像数据(包括Landsat、Sentinel等)的方法~
2648 1
如何用Google Earth Engine快速、大量下载遥感影像数据?
|
7月前
|
编解码 人工智能 算法
Google Earth Engine——促进森林温室气体报告的全球时间序列数据集
Google Earth Engine——促进森林温室气体报告的全球时间序列数据集
96 0
|
7月前
|
机器学习/深度学习 算法 数据可视化
基于Google Earth Engine云平台构建的多源遥感数据森林地上生物量AGB估算模型含生物量模型应用APP
基于Google Earth Engine云平台构建的多源遥感数据森林地上生物量AGB估算模型含生物量模型应用APP
244 0
|
7月前
|
存储 编解码 数据可视化
Google Earth Engine获取随机抽样点并均匀分布在栅格的不同数值区中
【2月更文挑战第14天】本文介绍在谷歌地球引擎(Google Earth Engine,GEE)中,按照给定的地表分类数据,对每一种不同的地物类型,分别加以全球范围内随机抽样点自动批量选取的方法~
639 1
Google Earth Engine获取随机抽样点并均匀分布在栅格的不同数值区中
|
7月前
|
数据处理
Google Earth Engine(GEE)——sentinel-1数据处理过程中出现错误Dictionary does not contain key: bucketMeans
Google Earth Engine(GEE)——sentinel-1数据处理过程中出现错误Dictionary does not contain key: bucketMeans
120 0
|
7月前
|
数据采集 编解码 人工智能
Google Earth Engine(GEE)——全球每日近地表空气温度(2003-2020年)
Google Earth Engine(GEE)——全球每日近地表空气温度(2003-2020年)
235 0
|
7月前
|
编解码 人工智能 数据库
Google Earth Engine(GEE)——全球道路盘查项目全球道路数据库
Google Earth Engine(GEE)——全球道路盘查项目全球道路数据库
161 0
|
7月前
|
编解码
Open Google Earth Engine(OEEL)——matrixUnit(...)中产生常量影像
Open Google Earth Engine(OEEL)——matrixUnit(...)中产生常量影像
82 0
|
7月前
Google Earth Engine(GEE)——导出指定区域的河流和流域范围
Google Earth Engine(GEE)——导出指定区域的河流和流域范围
286 0
|
7月前
|
传感器 编解码 数据处理
Open Google Earth Engine(OEEL)——哨兵1号数据的黑边去除功能附链接和代码
Open Google Earth Engine(OEEL)——哨兵1号数据的黑边去除功能附链接和代码
143 0