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Updated: Jun 15, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
Hydrometeorological Network of Namal Valley, Pakistan
Muhammad Sheraz1, Talha Manzoor1, Malik Jahan Khan2
1Centre for Water Informatics and Technology, Lahore University of Management Sciences (LUMS), Lahore, Pakistan.
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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.

