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Related Experiment Video

Updated: Jan 10, 2026

In Situ Soil Moisture Sensors in Undisturbed Soils

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

Near-global Agro-climatological Drought Monitoring Dataset.

Sneha Kulkarni¹, Yohei Sawada²

¹Department of Civil Engineering, The University of Tokyo, Tokyo, 113-8656, Japan. snehakulkarni@g.ecc.u-tokyo.ac.jp.

Scientific Data

|November 25, 2025

Summary

A new dataset, Near-global Agro-Climatological Drought Monitoring (NEC-DROMO), offers comprehensive drought insights by combining soil moisture and vegetation water content. This robust monitoring tool aids in agricultural and climate resource management amid increasing global drought severity.

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Area of Science:

Environmental Science
Climate Science
Agricultural Science

Background:

Global droughts are increasing in frequency and severity, posing significant challenges to agriculture and climate resource management.
Comprehensive and reliable drought data are crucial for effective monitoring and mitigation strategies.
Existing datasets may not fully capture the complex interplay of factors contributing to agricultural drought.

Purpose of the Study:

To introduce the Near-global Agro-Climatological Drought Monitoring (NEC-DROMO) dataset.
To provide robust drought insights by integrating key agro-climatological variables.
To support global drought monitoring, policymaking, and disaster risk assessment.

Main Methods:

The NEC-DROMO dataset integrates soil moisture (SM) and vegetation water content (VWC) for agricultural stress, with rainfall and temperature for climatological context.
Data spans 2002-2021 at a 0.25-degree spatial resolution and monthly scale.
Principal Component Analysis (PCA) was used to objectively weight variables, ensuring robustness for historical and near-real-time monitoring.

Main Results:

NEC-DROMO delivers monthly drought data for near-global regions.
Validation against independent methods (SPI, NDVI, Geocoded Disaster dataset) confirms its reliability in capturing global drought patterns.
The dataset builds upon the ECoHydrological Land Reanalysis dataset, enhancing VWC, SM, and temperature data.

Conclusions:

NEC-DROMO represents a significant advancement in global drought monitoring capabilities.
The dataset's reliability supports accurate historical monitoring and potential near-real-time applications.
NEC-DROMO is a valuable tool for policymakers and disaster risk assessment efforts.