Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update subsetting and plotting section #16

Merged
merged 4 commits into from
Dec 10, 2023
Merged

update subsetting and plotting section #16

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
06b9f94
fix summary text
danielfromearth Dec 10, 2023
d3d4ae2
update summary text
danielfromearth Dec 10, 2023
353212f
add link to EDS analogous request URL
danielfromearth Dec 10, 2023
a273e16
Update README.md with link to entry in AGU schedule
danielfromearth Dec 10, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# 2023-Cloud-Workshop-AGU
NASA Openscapes AGU Workshop: Enabling Analysis in the Cloud Using NASA Earth Science Data

Sunday, December 10 from 13:00-16:30.
Sunday, December 10 from 13:00-16:30. [Link to workshop entry](https://agu.confex.com/agu/fm23/meetingapp.cgi/Session/193427) in the AGU schedule.
12 changes: 7 additions & 5 deletions tutorials/Earthdata_Subset_and_Plot.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -17,20 +17,20 @@
"source": [
"## Summary\n",
"\n",
"Welcome to Part 2 of the In-cloud Science Workflow.\n",
"Welcome to Part 2 of the In-cloud Science Workflow workshop.\n",
"\n",
"In these examples we will use the [xarray](https://xarray.dev/), [earthaccess](https://nsidc.github.io/earthaccess/), and [harmony-py](https://github.com/nasa/harmony-py) libraries to subset data and make figures using `cartopy`, `matplotlib`, and `geoviews`.\n",
"\n",
"We will go through **three examples of subsetting and plotting data in the Earthdata Cloud:** \n",
"We will go through **two examples of subsetting and plotting data in the Earthdata Cloud:** \n",
"\n",
"1. Example 1 - `earthaccess` and `xarray` for precipitation estimates from [IMERG, Daily Level 3 data](https://doi.org/10.5067/GPM/IMERGDF/DAY/07)\n",
"2. Example 2 - `harmony-py` for direct cloud subsetting of precipitable water data from the [DSCOVR EPIC Composite](https://doi.org/10.5067/EPIC/DSCOVR/L2_COMPOSITE_01).\n",
"3. Appendix 1 - Snow cover data from [MODIS/Terra, Daily Level 3 data](https://doi.org/10.5067/MODIS/MOD10C1.061) with `rioxarray`\n",
"4. Appendix 2 - Snow mass data from [SMAP, 3-hourly Level 4 data](https://doi.org/10.5067/EVKPQZ4AFC4D)\n",
" \n",
"In the first example, we will be accessing data directly from Amazon Web Services (AWS), specifically in the us-west-2 region, which is where all cloud-hosted NASA Earthdata reside. This shared compute environment (JupyterHub) is also running in the same location. We will then load the data into Python as an `xarray` dataset.\n",
"In the first example, we will be accessing data directly from Amazon Web Services (AWS), specifically in the us-west-2 region, which is where all cloud-hosted NASA Earthdata reside. This shared compute environment (JupyterHub) is also running in the same location. We will then load the data into Python as an `xarray` dataset and use `xarray` to subset.\n",
"\n",
"For `harmony-py`, we will demonstrate an example of pulling data via the cloud from an existing on-premise data server. Both `xarray` and `harmony-py` can be run outside of an AWS as well.\n",
"In the second example, we will demonstrate an example of pulling data via the cloud from an existing on-premise data server. In this example, the data are subsetted using one of the data transformation services provided in the NASA Earthdata system. Both `xarray` and `harmony-py` can be run outside of AWS as well.\n",
"\n",
"See the bottom of the notebook for additional resources, including several tutorials that that served as a foundation for this clinic. Includes: https://github.com/rupesh2/atmospheric_rivers/tree/main\n",
"\n",
Expand Down Expand Up @@ -3943,7 +3943,9 @@
"id": "da982b31-5fad-4202-8b86-09d98e83859b",
"metadata": {},
"source": [
"While this processes, we can discuss the harmony job in some more detail. (Futher information and examples can be found in the `harmony-py` repository, such as [this introductory notebook](https://github.com/nasa/harmony-py/blob/main/examples/intro_tutorial.ipynb).\n",
"While this processes, we can discuss the harmony job in some more detail. First, note that this request is identical to what can be achieved through NASA's Earthdata Search interface, such as this URL: https://search.earthdata.nasa.gov/search/granules?p=C1576365803-LARC_ASDC!C1576365803-LARC_ASDC&pg[1][a]=1576368528!1576368575!LARC_ASDC&pg[1][v]=t&pg[1][gsk]=-start_date&pg[1][m]=harmony0&pg[1][of]=application/x-netcdf4&pg[1][ets]=t&pg[1][ess]=t&q=C1576365803-LARC_ASDC&sb[0]=-123.99609%2C37.19991%2C-120.44531%2C38.78263&qt=2016-02-24T12%3A00%3A00.000Z%2C2016-02-24T23%3A00%3A00.000Z&tl=1702228562!3!!&lat=37.8270894268111&long=-130.67578125&zoom=4 \n",
"\n",
"(Futher information and examples can be found in the `harmony-py` repository, such as [this introductory notebook](https://github.com/nasa/harmony-py/blob/main/examples/intro_tutorial.ipynb).)\n",
"\n",
"#### Request Parameters\n",
"\n",
Expand Down
Loading