Merge pull request #740 from NCAR/qceff_dartlab

qceff dartlab
NCAR · Jan 23, 2025 · 9906662 · 9906662
2 parents d042596 + 8abc244
commit 9906662
Show file tree

Hide file tree

Showing 29 changed files with 4,280 additions and 320 deletions.
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
@@ -22,6 +22,12 @@ individual files.
 
 The changes are now listed with the most recent at the top.
 
+**January 23 2025 :: DART_LAB QCEFF. Tag v11.10.0**
+
+- Updated DART_LAB to include QCEFF
+- NSF NCAR RDA links updated
+- /glade RDA locations updated
+
 **January 23 2025 :: Pangu-DART. Tag v11.9.0**
 
 - Pangu-Weather ML model DART interface

diff --git a/conf.py b/conf.py
@@ -21,7 +21,7 @@
 author = 'Data Assimilation Research Section'
 
 # The full version, including alpha/beta/rc tags
-release = '11.9.0'
+release = '11.10.0'
 root_doc = 'index'
 
 # -- General configuration ---------------------------------------------------

diff --git a/guide/DART_LAB/DART_LAB.rst b/guide/DART_LAB/DART_LAB.rst
@@ -15,11 +15,11 @@ DART tutorial presentations
 
 Here are the PDF files for the presentation part of the tutorial:
 
-- :download:`Section 1: <presentation/DART_LAB_Section01.pdf>` The basics in 1D.
-- :download:`Section 2: <presentation/DART_LAB_Section02.pdf>` How should observations of a state variable impact an unobserved 
-  state variable? Multivariate assimilation.
-- :download:`Section 3: <presentation/DART_LAB_Section03.pdf>` Sampling error and localization.
-- :download:`Section 4: <presentation/DART_LAB_Section04.pdf>` The Ensemble Kalman Filter (Perturbed Observations).
+- :download:`Section 1: <presentation/DART_LAB_Section01.pdf>` Ensemble Data Assimilation Concepts in 1D.
+- :download:`Section 2: <presentation/DART_LAB_Section02.pdf>` How Should Observations Impact an Unobserved 
+  State Variable? Multivariate Assimilation.
+- :download:`Section 3: <presentation/DART_LAB_Section03.pdf>` Inflation and Localization to Improve Performance.
+- :download:`Section 4: <presentation/DART_LAB_Section04.pdf>` Nonlinear and Non-Gaussian Extensions.
 - :download:`Section 5: <presentation/DART_LAB_Section05.pdf>` Adaptive Inflation.
 
 Matlab hands-on exercises
@@ -31,11 +31,16 @@ options. A valid `Matlab <http://www.mathworks.com/products/matlab/>`__ license
 
 The exercises use the following functions:
 
+-  bounded_oned_ensemble
 -  gaussian_product
--  oned_model
+-  oned_cycle
 -  oned_ensemble
+-  oned_model
+-  oned_model_inf
 -  run_lorenz_63
 -  run_lorenz_96
+-  run_lorenz_96_inf
 -  twod_ensemble
+-  twod_ppi_ensemble
 
 To run these, cd into the DART_LAB/matlab directory, start matlab, and type the names at the prompt.