Cite climkern paper

Author: brian-rose

bibliography.bib

@@ -303,3 +303,15 @@ @article{Held:2012a
 	volume = {25},
 	year = {2012},
 	bdsk-url-1 = {https://doi.org/10.1175/JCLI-D-11-00721.1}}
+
+@article{Janoski:2025a,
+  AUTHOR = {Janoski, T. P. and Mitevski, I. and Kramer, R. J. and Previdi, M. and Polvani, L. M.},
+  TITLE = {ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks},
+  JOURNAL = {Geoscientific Model Development},
+  VOLUME = {18},
+  YEAR = {2025},
+  NUMBER = {10},
+  PAGES = {3065--3079},
+  URL = {https://gmd.copernicus.org/articles/18/3065/2025/},
+  DOI = {10.5194/gmd-18-3065-2025}
+}

notebooks/simplified-calc/climkern-calc.ipynb

@@ -30,7 +30,7 @@
    "source": [
     "## Overview\n",
     "\n",
-    "While it is good to know how to manually calculate radiative feedbacks, it is also time-consuming to constantly recreate the code. Here, we will use a new Python package called ClimKern that offers functions to calculate radiative feedbacks from climate model or reanalysis output. The advantages of using ClimKern go beyond making it simpler—it standardizes the methods and assumptions that go into these sometimes complicated calculations. We will use CMIP6 output in this notebook. You will learn how to:\n",
+    "While it is good to know how to manually calculate radiative feedbacks, it is also time-consuming to constantly recreate the code. Here, we will use a Python package called ClimKern {cite:p}`Janoski:2025a` that offers functions to calculate radiative feedbacks from climate model or reanalysis output. The advantages of using ClimKern go beyond making it simpler—it standardizes the methods and assumptions that go into these sometimes complicated calculations. We will use CMIP6 output in this notebook. You will learn how to:\n",
     "\n",
     "1. Download CMIP6 data from Pangeo's space on Google Cloud.\n",
     "1. Obtain a radiative kernel from the ClimKern repository.\n",