From 722b1fffc5038399d4e7df999a3f37b54fd0dc19 Mon Sep 17 00:00:00 2001 From: Astrid Ziemann <astrid.ziemann@tu-dresden.de> Date: Thu, 5 Dec 2024 12:42:00 +0000 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 04c3b21..eb563ee 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 -- GitLab