Dataset Open Access
Flood Modeling Dataset 2
Chang Wei Tan;
Christoph Bergmeir;
Francois Petitjean;
Geoffrey I Webb
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/
The goal of this dataset is to predict maximum water depth for flood modelling. The dataset contains 559 hourly rainfall events time series which are used to predict the maximum water depth of a domain (Digital Elevation Model, DEM). The rainfall events and DEM are generated synthetically by researchers at Monash University because real DEM data with accurate rainfall events are rare.
Data Donor
Jihane Elyahyioui, jihane.elyahyioui@monash.edu
Files
(1.2 MB)
| Name | Size | |
|---|---|---|
|
FloodModeling2_TEST.ts
md5:0faef5154db8b70c1c66f50b66fd1f1e |
378.7 kB | Download |
|
FloodModeling2_TRAIN.ts
md5:e37169a750fba46b49b43f42ee635f83 |
870.5 kB | Download |
158
155
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 158 | 158 |
| Downloads | 155 | 155 |
| Data volume | 98.0 MB | 98.0 MB |
| Unique views | 149 | 149 |
| Unique downloads | 91 | 91 |
Indexed in
- Publication date:
- June 21, 2020
- DOI:
-
- Keyword(s):
- time series regression
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International