# CLA-Net-Peak_article_data

**Repository Path**: Zeoking/cla-net-peak_article_data

## Basic Information

- **Project Name**: CLA-Net-Peak_article_data
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-08-14
- **Last Updated**: 2026-08-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# CLA-Net-Peak Article Data

Observational and processed data for the manuscript
*Event-Conditioned Lag-Response Learning for Peak-Sensitive Flash-Flood
Forecasting* (Water, MDPI).

## Contents

- `*_rainfall.npy`, `*_discharge.npy`: hourly rainfall and discharge
  observations for the 15 study tributaries in Pingwu County.
- `hourly_timeseries.csv`: derived event-scale time series (observations
  plus runoff components and flash-flood event annotations).
- `X_windows.npy`, `Y_targets.npy`: preprocessed input-target sample windows
  used for model training and evaluation.

The complete training code is not publicly released.