From 277cda3ae52f74b8e0ff8647f4bd44a359bbc0fb Mon Sep 17 00:00:00 2001 From: Quarto GHA Workflow Runner Date: Wed, 28 Jun 2023 17:06:01 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- .../Direct_Access_SWOT_sim_Oceanography.html | 2 +- external/DownloadDopplerScattData.html | 2 +- external/ECCO_cloud_direct_access_s3.html | 2 +- external/ECCO_download_data.html | 2 +- external/Introduction_to_xarray.html | 2 +- external/July_2022_Earthdata_Webinar.html | 2 +- external/VisualizeDopplerScattData.html | 2 +- external/cof-zarr-reformat.html | 2 +- external/insitu_dataviz_demo.html | 2 +- external/zarr-eosdis-store.html | 2 +- external/zarr_access.html | 2 +- .../OISSS_L4_multimission_monthly_v1.html | 2 +- ...-2438e8b8-d128-41b5-b06d-53fb2efee43a.png} | Bin ...-419d3300-7fdc-404c-afae-9e97155fb347.png} | Bin ...udAWS_AmazonRiver_Estuary_Exploration.html | 2296 +++++++++++++++-- search.json | 24 +- sitemap.xml | 164 +- 18 files changed, 2212 insertions(+), 298 deletions(-) rename notebooks/datasets/OISSS_L4_multimission_monthly_v1_files/figure-html/{0bcccb40-1-2438e8b8-d128-41b5-b06d-53fb2efee43a.png => 71f830a1-1-2438e8b8-d128-41b5-b06d-53fb2efee43a.png} (100%) rename notebooks/datasets/OISSS_L4_multimission_monthly_v1_files/figure-html/{0bcccb40-2-419d3300-7fdc-404c-afae-9e97155fb347.png => 71f830a1-2-419d3300-7fdc-404c-afae-9e97155fb347.png} (100%) diff --git a/.nojekyll b/.nojekyll index 92a41857..68e52b86 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -b32aabbd \ No newline at end of file +0df401bc \ No newline at end of file diff --git a/external/Direct_Access_SWOT_sim_Oceanography.html b/external/Direct_Access_SWOT_sim_Oceanography.html index e16bc6eb..e4e5ef67 100644 --- a/external/Direct_Access_SWOT_sim_Oceanography.html +++ b/external/Direct_Access_SWOT_sim_Oceanography.html @@ -736,7 +736,7 @@

Access Sample SWOT Oceanography Data in the Cloud

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, 2022-SWOT-OCEAN-Cloud-Workshop

diff --git a/external/DownloadDopplerScattData.html b/external/DownloadDopplerScattData.html index 3d3b44a8..478077eb 100644 --- a/external/DownloadDopplerScattData.html +++ b/external/DownloadDopplerScattData.html @@ -723,7 +723,7 @@

S-MODE Workshop: Science Case Study Airborne Part 1

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, 2022-SMODE-Open-Data-Workshop

diff --git a/external/ECCO_cloud_direct_access_s3.html b/external/ECCO_cloud_direct_access_s3.html index 33668dfa..9a87042b 100644 --- a/external/ECCO_cloud_direct_access_s3.html +++ b/external/ECCO_cloud_direct_access_s3.html @@ -732,7 +732,7 @@

Direct Access to ECCO V4r4 Datasets in the Cloud

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, ECCO.

diff --git a/external/ECCO_download_data.html b/external/ECCO_download_data.html index 76aafaf2..8197084e 100644 --- a/external/ECCO_download_data.html +++ b/external/ECCO_download_data.html @@ -727,7 +727,7 @@

Access to ECCO V4r4 Datasets on a Local Machine

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, ECCO.

diff --git a/external/Introduction_to_xarray.html b/external/Introduction_to_xarray.html index a159d476..e5f625f7 100644 --- a/external/Introduction_to_xarray.html +++ b/external/Introduction_to_xarray.html @@ -726,7 +726,7 @@

Xarray

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from NASA Openscapes 2021 Cloud Hackathon Repository

diff --git a/external/July_2022_Earthdata_Webinar.html b/external/July_2022_Earthdata_Webinar.html index cc44e7cd..c00a3025 100644 --- a/external/July_2022_Earthdata_Webinar.html +++ b/external/July_2022_Earthdata_Webinar.html @@ -756,7 +756,7 @@

Earthdata Webinar

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, the-coding-club

diff --git a/external/VisualizeDopplerScattData.html b/external/VisualizeDopplerScattData.html index 5186daf2..4e77c5d5 100644 --- a/external/VisualizeDopplerScattData.html +++ b/external/VisualizeDopplerScattData.html @@ -724,7 +724,7 @@

S-MODE Workshop: Science Case Study Airborne Part 2

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, 2022-SMODE-Open-Data-Workshop

diff --git a/external/cof-zarr-reformat.html b/external/cof-zarr-reformat.html index 3965df93..d1135c8c 100644 --- a/external/cof-zarr-reformat.html +++ b/external/cof-zarr-reformat.html @@ -726,7 +726,7 @@

COF Zarr Access via Reformat

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, ECCO.

diff --git a/external/insitu_dataviz_demo.html b/external/insitu_dataviz_demo.html index c55a68ed..51fba0a5 100644 --- a/external/insitu_dataviz_demo.html +++ b/external/insitu_dataviz_demo.html @@ -728,7 +728,7 @@

S-MODE Workshop: Science Case Study In Situ

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from a different repository in NASA’s PO.DAAC, 2022-SMODE-Open-Data-Workshop

diff --git a/external/zarr-eosdis-store.html b/external/zarr-eosdis-store.html index d9fe2963..f14c1a7e 100644 --- a/external/zarr-eosdis-store.html +++ b/external/zarr-eosdis-store.html @@ -717,7 +717,7 @@

Zarr Example

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from NASA’s Zarr EOSDIS store notebook

diff --git a/external/zarr_access.html b/external/zarr_access.html index 20adde20..a6f88515 100644 --- a/external/zarr_access.html +++ b/external/zarr_access.html @@ -736,7 +736,7 @@

Zarr Access for NetCDF4 files

-

imported on: 2023-06-27

+

imported on: 2023-06-28

This notebook is from NASA Openscapes 2021 Cloud Hackathon Repository

diff --git a/notebooks/datasets/OISSS_L4_multimission_monthly_v1.html b/notebooks/datasets/OISSS_L4_multimission_monthly_v1.html index b8ecbf9e..31c004fe 100644 --- a/notebooks/datasets/OISSS_L4_multimission_monthly_v1.html +++ b/notebooks/datasets/OISSS_L4_multimission_monthly_v1.html @@ -731,7 +731,7 @@

Direct S3 Data Access tutorial (Multi-Mission Optimally Interp

This tutorial only works in a jupyterhub hosted at AWS US-WEST-2.

-

image.pngimage.png

+

image.pngimage.png

  • title :
    GRRATS (Global River Radar Altimetry Time Series)1km daily interpolation for the Amazon River
    Conventions :
    CF-1.6, ACDD-1.3
    institution :
    Ohio State University, School of Earth Sciences
    source :
    MEaSUREs OSU Storage toolbox 2018
    keywords :
    EARTH SCIENCE,TERRESTRIAL HYDROSPHERE,SURFACE WATER,SURFACE WATER PROCESSES/MEASUREMENTS,STAGE HEIGHT
    keywords_vocabulary :
    Global Change Master Directory (GCMD)
    cdm_data_type :
    station
    creator_name :
    Coss,Steve
    creator_email :
    Coss.31@osu.edu
    project :
    MEaSUREs OSU
    program :
    NASA Earth Science Data Systems (ESDS)
    publisher_name :
    PO.DAAC (Physical Oceanography Distributed Active Archive Center)
    publisher_email :
    podaac@podaac.jpl.nasa.gov
    publisher_url :
    podaac.jpl.nasa.gov
    publisher_type :
    Institution
    publisher_institution :
    PO.DAAC
    processing_level :
    L2
    doi :
    10.5067/PSGRA-DA2V2
    history :
    This GRRATS product adds data river surface height data from ERS1, ERS2, TOPEX/Poseidon and Jason-3 to expand the temporal coverage of the product. GRRATS1kd includes interpolated daily 1km resolution height measurements as well as river channel storage measurements.
    platform :
    ERS-1(L2),ERS-2(L2),TOPEX/POSEIDON(L2), Jason-1(L2),OSTM/Jason-2(L2),Jason-3(L2),Envisat(L2)
    platform_vocabulary :
    NASA/GCMD Platform Keywords. Version 8.6
    instrument :
    RA(L2),RA-2(L2),ALT(TOPEX)(L2),POSEIDON-2(L2),POSEIDON-3(L2),POSEIDON-3b(L2)
    instrument_vocabulary :
    NASA/GCMD Platform Keywords. Version 8.6
    references :
    in review :doi.org/10.5194/essd-2019-84
    id :
    GRRATS(Global River Radar Altimeter Time Series) 1km/daily
    summary :
    The Global River Radar Altimeter Time Series (GRRATS) 1km/daily interpolations are river heights from ERS1, ERS2, TOPEX/Poseidon OSTM/Jason-2 Envisat and Jason-3 that are interpolated and processed to create a continuous heights for the study over the temporal range of the altimeters used. The purpose of these heights are to provide satellite altimetric river height data in a form that is more recognizable to the observational community and as a way to get users use to using satellite data for river hydrology.
    time_coverage_resolution :
    1 day
    date_created :
    2021-06-30T08:03:41
    time_coverage_start :
    1992-04-08T15:20:40
    time_coverage_end :
    2018-04-20T03:39:13
    geospatial_lon_min :
    -73.35433106652545
    geospatial_lon_max :
    -51.0426448887506
    geospatial_lon_units :
    degree_east
    geospatial_lat_min :
    -4.3804275867636875
    geospatial_lat_max :
    -0.6550700975069503
    geospatial_lat_units :
    degree_north
    geospatial_vertical_max :
    92.7681246287056
    geospatial_vertical_min :
    -3.5634095181633763
    geospatial_vertical_units :
    m
    geospatial_vertical_positive :
    up

    • Plot a subset of the data

    Plotting the river distances and associated heights on the map at time t=9069 (March 16, 2018) using plt.

    -
    -
    fig = plt.figure(figsize=[11,7]) 
-ax = plt.axes(projection=ccrs.PlateCarree())
-ax.coastlines()
-ax.set_extent([-85, -30, -20, 20])
-ax.add_feature(cartopy.feature.RIVERS)
-
-plt.scatter(ds_MEaSUREs.lon, ds_MEaSUREs.lat, lw=1, c=ds_MEaSUREs.height[:,9069])
-plt.colorbar(label='Interpolated River Heights (m)')
-plt.clim(-10,100)
-
-plt.show()
    +
    +
    fig = plt.figure(figsize=[11,7]) 
+ax = plt.axes(projection=ccrs.PlateCarree())
+ax.coastlines()
+ax.set_extent([-85, -30, -20, 20])
+ax.add_feature(cartopy.feature.RIVERS)
+
+plt.scatter(ds_MEaSUREs.lon, ds_MEaSUREs.lat, lw=1, c=ds_MEaSUREs.height[:,9069])
+plt.colorbar(label='Interpolated River Heights (m)')
+plt.clim(-10,100)
+
+plt.show()

    @@ -3022,43 +4936,43 @@

    Plot a subset

    Sea Surface Salinity (Multi-mission: SMAP, Aquarius, SMOS)

    The shortname for this dataset is ‘OISSS_L4_multimission_7day_v1’ with the concept ID: C2095055342-POCLOUD. This dataset contains hundreds of granules, so it would be impractical to search and copy all of the URLs in Earthdata Search. Using the shortname, we can access all the files at once in the cloud (1.1 GB data).

    -
    -
    smos_results = earthaccess.search_data(short_name="OISSS_L4_multimission_7day_v1")
    +
    +
    smos_results = earthaccess.search_data(short_name="OISSS_L4_multimission_7day_v1")
    Granules found: 998

    The following cell may take up to around 10 minutes to run due to the size of the dataset

    -
    -
    #this line ignores warnings about large chunk sizes
-dask.config.set(**{'array.slicing.split_large_chunks': False})
-
-ds_sss = xr.open_mfdataset(earthaccess.open(smos_results),
-                           combine='by_coords',
-                           mask_and_scale=True,
-                           decode_cf=True,
-                           chunks='auto',
-                           engine='h5netcdf')
-ds_sss
    +
    +
    #this line ignores warnings about large chunk sizes
+dask.config.set(**{'array.slicing.split_large_chunks': False})
+
+ds_sss = xr.open_mfdataset(earthaccess.open(smos_results),
+                           combine='by_coords',
+                           mask_and_scale=True,
+                           decode_cf=True,
+                           chunks='auto',
+                           engine='h5netcdf')
+ds_sss
     Opening 998 granules, approx size: 0.0 GB
    -
    +
    @@ -3446,12 +5360,12 @@
    + dtype='datetime64[ns]', name='time', length=249, freq=None))
  • product_name :
    AQUA_MODIS.20020701_20020731.L3m.MO.SST4.sst4.9km.nc
    instrument :
    MODIS
    title :
    MODISA Level-3 Standard Mapped Image
    project :
    Ocean Biology Processing Group (NASA/GSFC/OBPG)
    platform :
    Aqua
    temporal_range :
    26-day
    processing_version :
    R2019.0
    date_created :
    2019-12-17T18:28:09.000Z
    history :
    l3mapgen par=AQUA_MODIS.20020701_20020731.L3m.MO.SST4.sst4.9km.nc.param
    l2_flag_names :
    LAND,~HISOLZEN
    time_coverage_start :
    2002-07-03T22:20:00.000Z
    time_coverage_end :
    2002-07-29T20:14:59.000Z
    start_orbit_number :
    884
    end_orbit_number :
    1261
    map_projection :
    Equidistant Cylindrical
    latitude_units :
    degrees_north
    longitude_units :
    degrees_east
    northernmost_latitude :
    90.0
    southernmost_latitude :
    -90.0
    westernmost_longitude :
    -180.0
    easternmost_longitude :
    180.0
    geospatial_lat_max :
    90.0
    geospatial_lat_min :
    -90.0
    geospatial_lon_max :
    180.0
    geospatial_lon_min :
    -180.0
    latitude_step :
    0.083333336
    longitude_step :
    0.083333336
    sw_point_latitude :
    -89.958336
    sw_point_longitude :
    -179.95833
    spatialResolution :
    9.28 km
    geospatial_lon_resolution :
    0.083333336
    geospatial_lat_resolution :
    0.083333336
    geospatial_lat_units :
    degrees_north
    geospatial_lon_units :
    degrees_east
    number_of_lines :
    2160
    number_of_columns :
    4320
    measure :
    Mean
    suggested_image_scaling_minimum :
    -2.0
    suggested_image_scaling_maximum :
    45.0
    suggested_image_scaling_type :
    LINEAR
    suggested_image_scaling_applied :
    No
    _lastModified :
    2019-12-17T18:28:09.000Z
    Conventions :
    CF-1.6 ACDD-1.3
    institution :
    NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group
    standard_name_vocabulary :
    CF Standard Name Table v36
    naming_authority :
    gov.nasa.gsfc.sci.oceandata
    id :
    AQUA_MODIS.20020701_20020731.L3b.MO.SST4.nc/L3/AQUA_MODIS.20020701_20020731.L3b.MO.SST4.nc
    license :
    https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/
    creator_name :
    NASA/GSFC/OBPG
    publisher_name :
    NASA/GSFC/OBPG
    creator_email :
    data@oceancolor.gsfc.nasa.gov
    publisher_email :
    data@oceancolor.gsfc.nasa.gov
    creator_url :
    https://oceandata.sci.gsfc.nasa.gov
    publisher_url :
    https://oceandata.sci.gsfc.nasa.gov
    processing_level :
    L3 Mapped
    cdm_data_type :
    grid
    data_bins :
    4538276
    data_minimum :
    -1.62
    data_maximum :
    35.094997

    • Plot a subset of the data

    Use the function xarray.DataSet.sel to select a subset of the data at the outlet of the Amazon to plot with hvplot.

    -
    -
    lat_bnds, lon_bnds = [6,-2], [-52, -44] 
-ds_MODIS_subset = ds_MODIS.sel(lat=slice(*lat_bnds), lon=slice(*lon_bnds))
-ds_MODIS_subset
-
-ds_MODIS_subset.sst4.hvplot.image(y='lat', x='lon', cmap='viridis').opts(clim=(22,30))
    +
    +
    lat_bnds, lon_bnds = [6,-2], [-52, -44] 
+ds_MODIS_subset = ds_MODIS.sel(lat=slice(*lat_bnds), lon=slice(*lon_bnds))
+ds_MODIS_subset
+
+ds_MODIS_subset.sst4.hvplot.image(y='lat', x='lon', cmap='viridis').opts(clim=(22,30))
    -
    -
    -
    +
    +
    +