# Hydrometeorological Network of Namal Valley, Pakistan

## TL;DR

A sensor network in Pakistan's Namal Valley collects detailed hydrometeorological data to support flood prediction and watershed management.

## Contribution

A high-resolution hydrometeorological dataset from a small catchment in the Monsoon Margin region of Pakistan.

## Key findings

- The sensor network provides precipitation and water level data at high spatial and temporal resolutions.
- The dataset includes measurements from 14 observation points over a 425 sq km area from November 2020 to July 2022.
- The data supports hydrological modeling for flood prediction and reservoir management in similar regions.

## Abstract

This article describes data collected from a sensor network deployed in the catchment of The Namal Lake, situated in Mianwali district, Pakistan. The lake serves as a reservoir for the Namal Dam. The sensor network consists of 14 unique observation points in a watershed spanning a 425 sq km area. The data includes measurements of precipitation at a resolution of 0.246 mm at all sensor locations and measurements of water level at a 1 mm resolution at 7 locations (including the lake itself). The first sensor installation was made in November 2020 with the last one deployed in July 2022. The associated time series for both variables is generated at a 10-minute sampling frequency. Multiple aggregations of the dataset have been made available at hourly, daily, and monthly timescales. The data can be used for calibrating hydrological models for various applications such as flood prediction, watershed management, and decision-making for reservoir operation. The dataset also contributes to understanding the hydrometeorological processes in similar small catchments at the Monsoon Margin.