LamaH-CE | Large-Sample Data for Hydrology and Environmental Sciences for Central Europe – files
- 1. Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna, Austria
- 2. ELLIS Unit Linz and LIT AI Lab and Institute for Machine Learning, Johannes Kepler University, Linz, Austria
Description
Version Discussion: Please aware that this version of the dataset is NOT the final revised one!
Note: It is recommended to read the supplementary info file before using the dataset. For example, it clarifies the time conventions and that NAs are indicated by the number -999 in the runoff time series.
Disclaimer: We have created LamaH with care and checked the outputs for plausibility. By downloading the dataset, you agree that we nor the provider of the used source datasets (e.g. runoff time series) cannot be liable for the data provided. The runoff time series of the German federal states Bavaria and Baden-Württemberg are retrospective checked and updated by the hydrographic services. Therefore, it might be appropriate to obtain more up-to-date runoff data from Bavaria (https://www.gkd.bayern.de/en/rivers/discharge/tables) and Baden-Württemberg (https://udo.lubw.baden-wuerttemberg.de/public/p/pegel_messwerte_leer). Runoff data from the Czech Republic may not be used to set up operational warning systems (https://www.chmi.cz/files/portal/docs/hydro/denni_data/Podminky_uziti.pdf).
License: This work is licensed with CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/). This means that you may freely use and modify the data (even for commercial purposes). But you have to give appropriate credit (associated ESSD paper, version of dataset and all sources which are declared in the folder "Info"), indicate if and what changes were made and distribute your work under the same public license as the original.
Please aware that this version of the dataset is NOT the final revised one!
Files
Files
(15.6 GB)
Name | Size | Download all |
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md5:c946b5f2ff46ca1c19b3060f27e8a5ce
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14.5 GB | Download |
md5:401c27af25da7463cc14bd1e1d8564d5
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1.1 GB | Download |
Additional details
Funding
- Parameter regionalization for hydrological models using CFG P 31213
- FWF Austrian Science Fund