Near-global Agro-climatological Drought Monitoring Dataset

The increasing frequency and severity of global droughts present critical challenges to agriculture and climate resource management, highlighting the need for comprehensive drought data. To address this, we introduce the Near-global Agro-Climatological Drought Monitoring (NEC-DROMO) dataset, which integrates key agro-climatological variables to provide robust drought insights. Spanning 2002-2021 at a 0.25-degree spatial resolution and monthly scale, NEC-DROMO combines soil moisture (SM) and vegetation water content (VWC) to capture agricultural stress, with rainfall and temperature for climatological context. NEC-DROMO delivers monthly drought data for near-global regions, with latency depending on the availability of input datasets. NEC-DROMO is built through Principal Component Analysis, which objectively weights each variable, ensuring robustness for historical monitoring and potential near-real-time applications. Validation against independent satellite-based and in-situ methods, including the SPI, NDVI, and Geocoded Disaster dataset, confirms NEC-DROMO's reliability in accurately capturing global drought patterns. Building upon the ECoHydrological Land Reanalysis dataset and using its VWC, SM, and temperature data, NEC-DROMO represents a significant advancement in global drought monitoring, supporting policymaking and disaster risk assessment.

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Publication Details

Journal
Scientific Data
Published
2025-11-25
DOI
https://doi.org/10.1038/s41597-025-06316-7
Citations
2
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
2.21

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article

Near-global Agro-climatological Drought Monitoring Dataset

Yohei Sawada, Sneha Kulkarni
2 citations
Scientific Data
Hydrology and Drought Analysis
2.21
article

Near-global Agro-climatological Drought Monitoring Dataset

Yohei Sawada, Sneha Kulkarni
article en
2 citations

Abstract

The increasing frequency and severity of global droughts present critical challenges to agriculture and climate resource management, highlighting the need for comprehensive drought data. To address this, we introduce the Near-global Agro-Climatological Drought Monitoring (NEC-DROMO) dataset, which integrates key agro-climatological variables to provide robust drought insights. Spanning 2002-2021 at a 0.25-degree spatial resolution and monthly scale, NEC-DROMO combines soil moisture (SM) and vegetation water content (VWC) to capture agricultural stress, with rainfall and temperature for climatological context. NEC-DROMO delivers monthly drought data for near-global regions, with latency depending on the availability of input datasets. NEC-DROMO is built through Principal Component Analysis, which objectively weights each variable, ensuring robustness for historical monitoring and potential near-real-time applications. Validation against independent satellite-based and in-situ methods, including the SPI, NDVI, and Geocoded Disaster dataset, confirms NEC-DROMO's reliability in accurately capturing global drought patterns. Building upon the ECoHydrological Land Reanalysis dataset and using its VWC, SM, and temperature data, NEC-DROMO represents a significant advancement in global drought monitoring, supporting policymaking and disaster risk assessment.

Scientific DataVol. 12(1)
University of Tokyo Hospital (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science, Japan Aerospace Exploration Agency
Openalex Percentile: Top 11%
Hydrology and Drought Analysis
2.21
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