@@ -18,21 +18,21 @@ You can find additional resources that will help you analyze PACE data on the [O
1818| [ ** Earthaccess & Earthdata Cloud** ] [ eec-n ] | [ {{ l1 }}] [ eec-l ] | [ {{ d1 }}] [ eec-d ] | {{ v0 }} |
1919| [ ** Visualizing Satellite Data** ] [ vsd-n ] | [ {{ d1 }}] [ vsd-l ] | [ {{ d1 }}] [ vsd-d ] | {{ v0 }} |
2020| ** Collaborative Coding, for Science!** | [ {{ l1 }}] [ ccs-l ] | [ {{ d1 }}] [ ccs-d ] | {{ v0 }} |
21- | * Matchups of in-situ Data With Satellite Data* | {{ l0 }} | {{ d0 }} | {{ v0 }} |
22- | [ * Periodogram Analysis of Ocean Color Data* ] [ lsp-n ] | {{ l0 }} | {{ d0 }} | {{ v0 }} |
23- | [ ** OCSSW Processing Tools** ] [ opt-n ] | | {{ d0 }} | {{ v0 }} |
21+ | [ * Matchups of in-situ Data With Satellite Data* ] [ mup-n ] | {{ l0 }} | [ {{ d1 }}] [ mup-d ] | {{ v0 }} |
22+ | [ * Periodogram Analysis of Ocean Color Data* ] [ lsp-n ] | | [ {{ d1 }} ] [ lsp-d ] | {{ v0 }} |
23+ | [ ** OCSSW Processing Tools** ] [ opt-n ] | | [ {{ d1 }}] [ opt-d ] | {{ v0 }} |
2424| ** Orientation to Level-2 Generator** | | {{ d0 }} | {{ v0 }} |
25- | * Rayleigh Correction for PACE by Machine Learning* | {{ l0 }} | {{ d0 }} | {{ v0 }} |
25+ | * Rayleigh Correction for PACE by Machine Learning* | [ {{ l1 }}] [ mlr-l ] | {{ d0 }} | {{ v0 }} |
2626| ** Distributed Processing** | | {{ d0 }} | {{ v0 }} |
27- | [ * HARP2 at Level-1C* ] [ h1c-n ] | | [ {{ d0 }}] [ h1c-d ] | {{ v0 }} |
28- | [ * SPEXone at Level-1C* ] [ s1c-n ] | | [ {{ d0 }}] [ s1c-d ] | {{ v0 }} |
29- | [ * HARP2 Aerosols at Level-2* ] [ ha2-n ] | | [ {{ d0 }}] [ ha2-d ] | {{ v0 }} |
30- | [ * SPEXone Aerosols at Level-2* ] [ sa2-n ] | | [ {{ d0 }}] [ sa2-d ] | {{ v0 }} |
27+ | [ * HARP2 at Level-1C* ] [ h1c-n ] | | [ {{ d1 }}] [ h1c-d ] | {{ v0 }} |
28+ | [ * SPEXone at Level-1C* ] [ s1c-n ] | | [ {{ d1 }}] [ s1c-d ] | {{ v0 }} |
29+ | [ * HARP2 Aerosols at Level-2* ] [ ha2-n ] | | [ {{ d1 }}] [ ha2-d ] | {{ v0 }} |
30+ | [ * SPEXone Aerosols at Level-2* ] [ sa2-n ] | | [ {{ d1 }}] [ sa2-d ] | {{ v0 }} |
3131| * Environments for Reusable Projects* | {{ l0 }} | | {{ v0 }} |
32- | Machine Learning Cloud Mask | | {{ d0 }} | |
32+ | [ Machine Learning Cloud Mask] [ mlc-n ] | | [ {{ d1 }}] [ mlc-d ] | |
3333| [ OCI Land Products] [ olp-n ] | | {{ d0 }} | |
3434| [ Projection and GeoTIFFs from Level-2] [ rio-n ] | | {{ d0 }} | [ {{ v1 }}] [ rio-v ] |
35- | [ OCI NO<sub >2</sub > Product Preview] [ no2-n ] | | {{ d0 }} | |
35+ | [ OCI NO<sub >2</sub > Product Preview] [ no2-n ] | | [ {{ d1 }}] [ no2-d ] | |
3636| Phytoplankton Pigments (GPig) Preview | | {{ d0 }} | |
3737| Running GIOP wtih OCSSW | | {{ d0 }} | |
3838
@@ -45,18 +45,26 @@ You can find additional resources that will help you analyze PACE data on the [O
4545(???) github.com:ryan-edward-oshea/MDN_tutorials
4646-->
4747[ eec-n ] : notebooks/earthdata_cloud_access
48- [ eec-l ] : https://docs.google.com/presentation/d/1DmdHELzkqIwIB3mC7AbHSKUJHt7CSHNgV5X1aDeCppw/present?slide=id.p1
48+ [ eec-l ] : https://docs.google.com/presentation/d/1DmdHELzkqIwIB3mC7AbHSKUJHt7CSHNgV5X1aDeCppw/present
4949[ eec-d ] : nb:earthdata_cloud_access.ipynb
5050
5151[ vsd-n ] : notebooks/oci_data_visualization
5252[ vsd-l ] : https://drive.usercontent.google.com/download?id=1lv10jP-jKJUh4JCxpse0oZyErMJurMYZ&export=download&authuser=0
5353[ vsd-d ] : nb:oci_data_visualization.ipynb
5454
55- [ ccs-l ] : https://docs.google.com/presentation/d/1e5W_1MJsYemscRiRemVsGmc9KhAMD3supzhzDAarxLI/present?slide=id.p1
55+ [ ccs-l ] : https://docs.google.com/presentation/d/1e5W_1MJsYemscRiRemVsGmc9KhAMD3supzhzDAarxLI/present
56+ [ ccs-d ] : nb:blue-marble.ipynb
57+
58+ [ mup-n ] : notebooks/satellite_insitu_matchups
59+ [ mup-d ] : nb:satellite_insitu_matchups.ipynb
5660
5761[ lsp-n ] : notebooks/modis_lombscargle_periodogram
62+ [ lsp-d ] : nb:modis_lombscargle_periodogram.ipynb
5863
5964[ opt-n ] : notebooks/oci_ocssw_processing_overview
65+ [ opt-d ] : nb:oci_ocssw_processing_overview.ipynb
66+
67+ [ mlr-l ] : https://docs.google.com/presentation/d/1wUHsZke7bQ1oW5nAaZKVTqNI8H5sP_Ar/present
6068
6169[ h1c-n ] : notebooks/harp2_basic_visualizations
6270[ h1c-d ] : nb:harp2_basic_visualizations.ipynb
@@ -68,11 +76,15 @@ You can find additional resources that will help you analyze PACE data on the [O
6876[ ha2-d ] : nb:harp2_l2_aerosol_product.ipynb
6977
7078[ sa2-n ] : notebooks/spexone_l2_aerosol_product
71- [ sa2-n ] : nb:spexone_l2_aerosol_product.ipynb
79+ [ sa2-d ] : nb:spexone_l2_aerosol_product.ipynb
80+
81+ [ mlc-n ] : notebooks/ml_cloud_mask
82+ [ mlc-d ] : nb:ml_cloud_mask.ipynb
7283
7384[ olp-n ] : notebooks/oci_terrestrial_data
7485
7586[ rio-n ] : notebooks/oci_project_and_format
7687[ rio-v ] : https://www.youtube.com/watch?v=hOu8rPd_x6I&t=970s
7788
7889[ no2-n ] : notebooks/oci_no2
90+ [ no2-d ] : nb:oci_no2.ipynb
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