From 6cba713341ceb3676c46d61cff21e01d080661ef Mon Sep 17 00:00:00 2001
From: Aiko Voigt <aiko.voigt@univie.ac.at>
Date: Fri, 5 Apr 2024 21:56:59 +0000
Subject: [PATCH] Updates Readme

---
 README.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/README.md b/README.md
index 7deacaf..245b542 100644
--- a/README.md
+++ b/README.md
@@ -20,4 +20,12 @@ To read in and work with the HDF4 files, it is helpful to create a dedicated pyt
 
 * ethz: plots of cloud-radiative heating for a tropical cyclone
 * pythonenv: create dedicated python environment
+* core: functions to read-in data and compute heating rates per granule
+* solar: functions to derive daily-mean insolation, adapted from climlab of Brian Rose (see the readme file in the solar directory)
+
+To generate the binned heating rates, run ``make_binned_heating.py`` followed by ``postprocess_binned_heating.py``. The first script generates heating rates for each year, the second merges the year and takes care of the time and vertical axes, plus adds some metadata.
+
+``how_to_best_compute_radheating.ipynb`` illustrates that heating rates should be diagnosed by using the flux divergence divided by the pressure level thickness - this is the approach implemented in the core function. 
+
+``plot_zonaltimemean_crh.ipynb`` does a time-mean zonal-mean plot of cloud-radiative heating - this is a sanity check.
 
-- 
GitLab