Hydrometeorological Network of Namal Valley, Pakistan

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.

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Publication Details

Journal
Scientific Data
Published
2025-06-11
DOI
https://doi.org/10.1038/s41597-025-05310-3
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Hydrometeorological Network of Namal Valley, Pakistan

Malik Jahan Khan, Shabeh ul Hasson, Talha Manzoor, Usman Ali et al.
1 links
Scientific Data
Flood Risk Assessment and Management
article

Hydrometeorological Network of Namal Valley, Pakistan

Malik Jahan Khan, Shabeh ul Hasson, Talha Manzoor, Usman Ali, Muhammad Sheraz, Hamza Tariq
article en

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.

Scientific DataVol. 12(1)
Lahore University of Management Sciences (PK), De Montfort University (GB), National University of Sciences and Technology (PK)
Lahore University of Management Sciences, Deutscher Akademischer Austauschdienst, Deutsche Forschungsgemeinschaft, Universität Hamburg
Openalex Percentile: Top 87%
Flood Risk Assessment and Management
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