AVISO卫星测高格网数据下载与读取

法国 AVISO(Archiving, Validation and Interpretation of Satellite Oceanographic)提供的格网化数据(MSLA).该数据融合了 T/P, Jason-1, ERS 和 ENVISAT 等多颗卫星的测高资料. 数据时间分辨率为 7 天, 空间分辨率为 1°×1°, 时间跨度为 1993 年 1 月至 2021年7月. 数据经过了必要的标准改正, 如电离层延迟改正、对流层干湿分量改正、固体潮和海潮改正、海洋负荷潮汐改正、极潮改正、电磁偏差改正、仪器改正和反变气压计改正等。下面是链接的网址：

https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-anomalies-mean-and-climatology.html#c10358.

进入官网后，下面的界面就是每月平均的格网数据（数据下载需要提前注册账号）

选择第二个文件夹，即可进入下载界面：

The set of variables are the following :

EKE (Eddy Kinetic Energy)
MSLA-H (Sea Level Anomaly H, sea surface height above sea level)
MSLA-U (Sea Level Anomaly U, surface geostrophic eastward sea water velocity assuming sea level for geoid)
MSLA-V (Sea Level Anomaly V, surface geostrophic northward sea water velocity assuming sea level for geoid)
MADT-H (Absolute Dynamics Topography H : sea surface height above geoid)
MADT-U (Absolute Dynamics Topography U, surface geostrophic eastward sea water velocity)
MADT-V (Absolute Dynamics Topography V, surface geostrophic northward sea water velocity)

这里我们下载了MSLA-H和MADT-H进行对比：

文件内部的信息：

Global Attributes:

cdm_data_type = 'Grid'

date_issued = '2022-02-25 16:57:35Z'

time_coverage_resolution = 'P1M'

creator_email = 'aviso@altimetry.fr'

product_version = '7.0'

references = 'www.aviso.altimetry.fr'

Metadata_Conventions = 'Unidata Dataset Discovery v1.0'

creator_url = 'http://www.aviso.altimetry.fr'

keywords = 'Oceans > Ocean Topography > Sea Surface Height'

keywords_vocabulary = 'NetCDF COARDS Climate and Forecast Standard Names'

institution = 'CNES, CLS'

license = 'http://www.aviso.altimetry.fr/fileadmin/documents/data/License_Aviso.pdf'

geospatial_vertical_resolution = 'point'

creator_name = 'SSALTO/DUACS'

ssalto_duacs_comment = 'The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 between 2008-10-19 and 2016-06-25, Jason-3 since 2016-06-25.'

standard_name_vocabulary = 'NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table v37'

date_modified = '2022-02-25 16:57:35Z'

summary = 'Delayed Time Level-4 monthly mean of sea surface height above geoid products from multi-satellite observations over Global Ocean.'

project = 'SSALTO/DUACS: Data Unification and Altimeter Combination System'

source = 'Altimetry measurements'

contact = 'aviso@altimetry.fr'

geospatial_vertical_positive = 'down'

title = 'DT merged all satellites Global Ocean Ocean Gridded Monthly Mean of Absolute Dynamic Topography L4 product'

geospatial_vertical_units = 'm'

processing_level = 'L4'

history = '2022-02-25 16:57:35Z: Created by DUACS DT V7.0'

date_created = '2022-02-25 16:57:35'

Conventions = 'CF-1.6'

geospatial_lat_min = -89.875

geospatial_lat_max = 89.875

geospatial_lon_min = 0.125

geospatial_lon_max = 359.875

geospatial_vertical_min = '0.0'

geospatial_vertical_max = '0.0'

geospatial_lat_units = 'degrees_north'

geospatial_lon_units = 'degrees_east'

geospatial_lat_resolution = 0.25

geospatial_lon_resolution = 0.25

Dimensions:

time = 1

latitude = 720

longitude = 1440

nv = 2

Variables:

time

Size: 1x1

Dimensions: time

Datatype: single

Attributes:

axis = 'T'

calendar = 'gregorian'

long_name = 'Time'

standard_name = 'time'

units = 'days since 1950-01-01 00:00:00'

bounds = 'climatology_bnds'

climatology_bnds

Size: 2x1

Dimensions: nv,time

Datatype: single

latitude

Size: 720x1

Dimensions: latitude

Datatype: single

Attributes:

axis = 'Y'

bounds = 'lat_bnds'

long_name = 'Latitude'

standard_name = 'latitude'

units = 'degrees_north'

valid_min = -89.875

valid_max = 89.875

lat_bnds

Size: 2x720

Dimensions: nv,latitude

Datatype: single

Attributes:

comment = 'latitude values at the north and south bounds of each pixel.'

units = 'degrees_north'

longitude

Size: 1440x1

Dimensions: longitude

Datatype: single

Attributes:

axis = 'X'

bounds = 'lon_bnds'

long_name = 'Longitude'

standard_name = 'longitude'

units = 'degrees_east'

valid_min = 0.125

valid_max = 359.875

lon_bnds

Size: 2x1440

Dimensions: nv,longitude

Datatype: single

Attributes:

comment = 'longitude values at the west and east bounds of each pixel.'

units = 'degrees_east'

Size: 2x1

Dimensions: nv

Datatype: int32

Attributes:

comment = 'Vertex.'

long_name = 'Number of cell vertices'

units = '1'

crs

Size: 1x1

Dimensions:

Datatype: int32

Attributes:

comment = 'This is a container variable that describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinate system.'

grid_mapping_name = 'latitude_longitude'

inverse_flattening = 298.257

semi_major_axis = 6378136.3

adt

Size: 1440x720x1

Dimensions: longitude,latitude,time

Datatype: int32

Attributes:

_FillValue = -2147483648

long_name = 'Averaged Absolute Dynamic Topography 2021/07'

standard_name = 'sea_surface_height_above_geoid'

cell_methods = 'time: mean within years'

scale_factor = 0.0001

units = 'm'

coordinates = 'longitude latitude'

grid_mapping = 'crs'

读取代码：

madt = ncread('dt_global_allsat_madt_h_y2021_m07.nc','adt');

% ncdisp('dt_global_allsat_madt_h_y2021_m07.nc')

msla = ncread('dt_global_allsat_msla_h_y2021_m07.nc','sla');

lon = 0.25:0.25:360;

lat = -89.75:0.25:90;

[lon , lat] = meshgrid(lon ,lat);

LLZ.lon = lon';

LLZ.lat = lat';

LLZ.rg = madt;

subplot(3,1,1),rg_plot(LLZ),title('dt global allsat madt h y2021 m07')

h = colorbar;

set(get(h,'title'),'string','m')

LLZ.rg = msla;

subplot(3,1,2),rg_plot(LLZ),title('dt global allsat msla h y2021 m07')

h = colorbar;

set(get(h,'title'),'string','m')

LLZ.rg = msla-madt;

subplot(3,1,3),rg_plot(LLZ),title('difference between madt and msla')

h = colorbar;

set(get(h,'title'),'string','m')

全球的读取结果

中国海域部分结果：

欢迎交流学习！

参考文献：联合卫星重力、卫星测高和海洋资料研究中国南海海平面变化，冯伟等，2012.

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