diff --git a/README.md b/README.md
index 04c3b218b9e2efcf0acd9134fc1e366291a72091..eb563ee84fdd3aedc7b7e1c51f48de4b21e153e6 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,8 @@ Extension and composition of various existing plugins or program parts for the s
     * choice of method: determined by whether bias-corrected data necessary/available (vertical air temperature profile)
     * variant 0 (optimal) - bias-corrected data available: bias-corrected model data is used directly for picking out events and outputting data
     * variant 1: bias is (proven) not significant: Procedure as variant 0
-    * variant 2 (most unfavorable): bias is unknown, is judged to be significant and no bias-corrected data: The raw model data are used to derive the climate change signal (e.g. 2K-World - reference period). The climate change signal is suitably imposed on measurement data. Challenge: Derivation of vertical profiles (only measurements at a height of 2 m are available for temperature).
+    * variant 2: bias-corrected data are available but only for daily data (mean, min, max): Difference: bias-corrected maximum - uncorrected maximum --> imprinting of this difference on the hourly values of the day under consideration or other method? Method applicable for all height levels? Method applicable for all variables?
+    * variant 3 (most unfavorable): bias is unknown, is judged to be significant and no bias-corrected data: The raw model data are used to derive the climate change signal (e.g. 2K-World - reference period). The climate change signal is suitably imposed on measurement data. Challenge: Derivation of vertical profiles (only measurements at a height of 2 m are available for temperature).
 * predefined frequency of output:  1h 
 * selectable in configuration: 
     * scenario resp. GWL:  2K, 3K