Updating DSC180 project

Author: duncanwp

_pages/dsc_180.md

@@ -36,9 +36,9 @@ Click the "topic" links below for details regarding the readings, questions, and
 | --- | --- |
 | Summer | [Summer preperation](/dsc_180_summer) |
 | 1 | [Introduction to topic, domain, and paper](/dsc_180_intro) |
-| 2-3 | [Dive into the ClimateBench dataset](/dsc_180_data) |
-| 4-5 | [Begin data preprocessing and learn about xarray](/dsc_180_xarray) |
-| 6-7 | [Start implementing regression models](/dsc_180_implement) |
+| 2 | [Dive into the ClimateBench dataset](/dsc_180_data) |
+| 3-4 | [Begin data preprocessing and learn about xarray](/dsc_180_xarray) |
+| 5-7 | [Start implementing regression models](/dsc_180_implement) |
 | 8-9 | [Perform validation and testing of baselines](/dsc_180_validate) |
 | 10 | [Project wrap up and debrief](/dsc_180_debrief) |
 

_pages/dsc_180_data.md

@@ -1,25 +1,27 @@
 ---
 permalink: /dsc_180_data/
-title: "DSC 180ab B03 - Dive into the ClimateBench dataset"
+title: "DSC 180ab B03 - Dive into the ClimateBench dataset and learn about xarray"
 layout: single
 ---
 
-Let's get hands-on with the data!
+Let's get hands-on with the data! You should have already received the example notebook with paths and data in.
 
 ### Topics
 
 You will be touching on the following topics.
 
-- Exploring the CMIP6 data and processing the NorESM2 output
-- Processing the input4MIPS emissions data used to drive the models
+- Exploring the CMIP6 input and output data 
+- Learning about xarray and plotting climate datasets
 
 
 ### Tasks
 
-- Process the NorESM2 data for each of the required experiments. The data can be found in `/glade/collections/cmip/CMIP6/{activity}/NCC/NorESM2-LM/{experiment}`
-- Process the input data. The data can be found in `/glade/p/cesmdata/cseg/inputdata/atm/cam/chem/emis/`
- - You will need to take the global averages of some quantities and regrid others
+- Plot a map of the average global temperature between 2005-2015. 
+- Plot a map of the difference in global temperature from 1850-1900 to 2005-2015 with appropriate colorbar and title.
+- Plot similar maps for precipitation and daily maximium temperature.
+- Plot a global average time-series of the variables above. Optionally include multiple ensemble members (or an indication of the spread across ensemble members).
+- Each team member pick another variable and produce similar plots for those.
 
 ### Questions
 
-1. 
+No questions this week, but please prepare to present your plots and discuss your findings in class next week.

_pages/dsc_180_xarray.md

@@ -1,6 +1,6 @@
 ---
 permalink: /dsc_180_xarray/
-title: "DSC 180ab B03 - Begin data preprocessing and learn about xarray"
+title: "DSC 180ab B03 - Data preprocessing"
 layout: single
 ---
 
@@ -9,11 +9,14 @@ layout: single
 
 You will be touching on the following topics:
 
-- 
+- Processing the NorESM2 output
+- Processing the input4MIPS emissions data used to drive the models
 
 ### Tasks
 
-- 
+- Process the NorESM2 data for each of the required experiments. The data can be found in `/glade/collections/cmip/CMIP6/{activity}/NCC/NorESM2-LM/{experiment}`
+- Process the input data. The data can be found in `/glade/p/cesmdata/cseg/inputdata/atm/cam/chem/emis/`
+ - You will need to take the global averages of some quantities and regrid others
 
 ### Questions