sciamachy数据提取与格式转换

553825467 · 发表于 2016-4-6 19:05:00

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本帖最后由 553825467 于 2016-4-6 19:09 编辑

200210.nc (5.02 MB, 下载次数: 7)

MeteoInfo · 发表于 2016-4-7 09:28:27

应该是维的名字不对，L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc:

File Name: E:\Temp\L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc
File type: Hierarchical Data Format, version 5 (NetCDF-4)
Dimensions: 3
latitude_dim = 360;
longitude_dim = 720;
month_dim = 115;
X Dimension: Xmin = -179.75; Xmax = 179.75; Xsize = 720; Xdelta = 0.5
Y Dimension: Ymin = -89.75; Ymax = 89.75; Ysize = 360; Ydelta = 0.5
Global Attributes:
: title = "SCIAMACHY WFMD XCO2"
: institution = "University of Bremen"
: source = "SCIAMACHY L1B version 7.xx (consolidation W)"
: history = "2015 - product generated with WFMD"
: references = "http://dx.doi.org/10.5194/acp-11-2863-2011\nhttp://dx.doi.org/10.5194/acp-13-2445-2013\nhttp://dx.doi.org/10.5194/acp-14-133-2014"
: tracking_id = "cc647f9a-0582-427d-9e17-8b9b07720b25"
: product_version = "v3.9"
: summary = "Weighting Function Modified DOAS (WFMD) is designed to retrieve column-averaged dry air mole fractions\nof atmospheric carbon dioxide and methane from the near-infrared/shortwave-infrared (NIR/SWIR)\nnadir spectra of the SCIAMACHY instrument onboard ENVISAT."
: keywords = "satellite, ENVISAT, SCIAMACHY, atmosphere, carbon dioxide"
: id = "L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc"
: naming_authority = "iup.uni-bremen.de"
: date_created = "20150413T161200Z"
: creator_name = "University of Bremen, IUP, Oliver Schneising"
: creator_url = "http://www.iup.uni-bremen.de/sciamachy/NIR_NADIR_WFM_DOAS/products/"
: creator_email = "schneising@iup.physik.uni-bremen.de"
: geospatial_lat_min = -90.0f
: geospatial_lat_max = 90.0f
: geospatial_lat_units = "degree_north"
: geospatial_lon_min = -180.0f
: geospatial_lon_max = 180.0f
: geospatial_lon_units = "degree_east"
: geospatial_vertical_min = 0.0f
: geospatial_vertical_max = 100000.0f
: time_coverage_start = "20021001T000000Z"
: time_coverage_end = "20120430T235959Z"
: platform = "ENVISAT"
: sensor = "SCIAMACHY"
: spatial_resolution = "0.5deg x 0.5deg"
Variations: 7
long time(month_dim);
time: standard_name = "time"
time: long_name = "time"
time: units = "month (YYYYMM)"
time: calendar = "standard"
time: _ChunkSizes = 115
float latitude(latitude_dim);
latitude: standard_name = "latitude"
latitude: long_name = "latitude"
latitude: units = "degree_north"
latitude: valid_range = -90.0f, 90.0f
latitude: comment = "Center latitude of gridcell"
latitude: _ChunkSizes = 360
float longitude(longitude_dim);
longitude: standard_name = "longitude"
longitude: long_name = "longitude"
longitude: units = "degree_east"
longitude: valid_range = -180.0f, 180.0f
longitude: comment = "Center longitude of gridcell"
longitude: _ChunkSizes = 720
float xco2(month_dim,latitude_dim,longitude_dim);
xco2: long_name = "column-averaged dry air mole fraction of atmospheric carbon dioxide"
xco2: units = "1e-6"
xco2: missing_value = "-999"
xco2: comment = "Gridcell-mean of retrieved column-averaged dry air mole fractions of atmospheric carbon dioxide (XCO2) in ppm"
xco2: _ChunkSizes = 38, 118, 236
float xco2_uncertainty(month_dim,latitude_dim,longitude_dim);
xco2_uncertainty: long_name = "Mean 1-sigma uncertainty of the retrieved column-averaged dry air mole fraction of atmospheric carbon dioxide"
xco2_uncertainty: units = "1e-6"
xco2_uncertainty: missing_value = "-999"
xco2_uncertainty: comment = "Gridcell-mean of the individual 1-sigma uncertainties of the retrieved column-averaged dry air mole fractions of atmospheric carbon dioxide (XCO2) in ppm"
xco2_uncertainty: _ChunkSizes = 38, 118, 236
float xco2_standard_deviation(month_dim,latitude_dim,longitude_dim);
xco2_standard_deviation: long_name = "standard deviation of the retrieved column-averaged dry air mole fraction of atmospheric carbon dioxide"
xco2_standard_deviation: missing_value = "-999"
xco2_standard_deviation: comment = "Standard deviation of the retrieved column-averaged dry air mole fractions of atmospheric carbon dioxide (XCO2) contributing to the mean in ppm"
xco2_standard_deviation: units = "1e-6"
xco2_standard_deviation: _ChunkSizes = 38, 118, 236
float observation_count(month_dim,latitude_dim,longitude_dim);
observation_count: long_name = "Number of observations"
observation_count: units = "1"
observation_count: comment = "Number of observations per gridcell"
observation_count: _ChunkSizes = 38, 118, 236

553825467 · 发表于 2016-4-7 21:51:43

本帖最后由 553825467 于 2016-4-7 21:53 编辑

MeteoInfo 发表于 2016-4-7 09:28
应该是维的名字不对，L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc:

File Name: E:\Temp\L3-CO2-SCIAMACHY-WFM ...

非常感谢您的耐心回复，请问这种情况该如何处理呢？我用cdo软件提取了三个变量：经纬度、时间，本来打算直接在arcgis里面转换成栅格数据，结果发现影像位置都倒转了，知道cdo没法做，请问您是如何处理的呢？您的那个raster_xco2_surface 是通过L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc得到的吗，谢谢您了，这个是我毕业的研究方向，非常感谢您的回答！

MeteoInfo · 发表于 2016-4-7 23:10:42

553825467 发表于 2016-4-7 21:51
非常感谢您的耐心回复，请问这种情况该如何处理呢？我用cdo软件提取了三个变量：经纬度、时间，本来打 ...

我使用的是MeteoInfo

553825467 · 发表于 2016-4-8 10:41:26

MeteoInfo 发表于 2016-4-7 23:10
我使用的是MeteoInfo

您好，您的那个raster_xco2_surface 是通过L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc得到的吗？是用MeteoInfo得到的吗？为何我用MeteoInfo 1.0 加载这个数据时提示错误。得不到您那样的效果。您能说详细点吗，谢谢您了。

MeteoInfo · 发表于 2016-4-8 11:00:15

553825467 发表于 2016-4-8 10:41
您好，您的那个raster_xco2_surface 是通过L3-CO2-SCIAMACHY-WFMD-0.5x0.5.nc得到的吗？是用MeteoInfo得 ...

是的。

在此网站（http://www.meteothinker.com/index.html）下载最新的MeteoInfo Java版。

553825467 · 发表于 2016-4-8 11:23:50

MeteoInfo 发表于 2016-4-8 11:00
是的。

在此网站（http://www.meteothinker.com/index.html）下载最新的MeteoInfo Java版。

好的，谢谢您了，我尝试一下，谢谢您的耐心指导

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