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Description

This dataset - HYSOGs250m - represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. Classification of HSGs was derived from soil texture classes and depth to bedrock provided by the Food and Agriculture Organization soilGrids250m system.

Product Summary

Platforms
Models
Instruments
Computer
Projects
Soil
Spatial Extent

N: 83.9997 S: -56.0008 E: 180 W: -180

Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2017-01-01 to 2017-11-28
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2216864285-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
1
Processing Level
3
Published
Updated
Science Keywords
Runoff ,
Soil Texture

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Ross, C. W., Prihodko, L., Anchang, J. Y., Kumar, S. S., Ji, W., & Hanan, N. P. (2018). Global Hydrologic Soil Groups (HYSOGs250m) for Curve Number-Based Runoff Modeling (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1566 Date Accessed: 2026-06-05

Documents

Publications Citing This Dataset

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Title Year Author Topic
A bayesian framework for dynamic monthly curve number conditioning using Parisay, Zahra, Mirdashtvan, Mahsa, Abdollahi, Khodayar, Sheikh, Vahedberdi Runoff, Soil Texture
Afforestation priority for multiple objectives at national scale: Italy as a case study Gibertini, Chiara, Rossi, Lorenzo M. W., Cislaghi, Alessio, Galimberti, Susanna, Marchetti, Simone, Marchi, Maurizio, Pastore, Maria C., Pimentel, Luis, Salbitano, Fabio, Shamir, Livia, Vacchiano, Giorgio Runoff, Soil Texture, Population Density
Hybrid defences for flash-flood resilience: multi-scenario assessment of grey and nature-based solutions in Indonesia's watershed Hidayah, Entin, Dhokhikah, Yeny, Sulistyowati, Hari, Soetjipto, Jojok Widodo, Widodo, Joko, Gunawan, Alexander Agung Santoso, Herawati, Henny, Azmeri, Azmeri, Juliastuti, Juliastuti Runoff, Soil Texture
Intercomparison of regional flood frequency estimation procedures in Diop, Serigne Bassirou, Tramblay, Yves, Bodian, Ansoumana, Dieppois, Bastien, Ouarda, Taha B. M. J. Runoff, Soil Texture, Carbon, Cation Exchange Capacity, Organic Matter
Land use change as a driver of hydrological ecosystem services in the Obateru, Rotimi Oluseyi Runoff, Soil Texture
Land use/Land cover control on groundwater recharge: A multi-method Lweendo, Muumbe K., Mapani, Benjamin, Banda, Kawawa, Adelabu, Samuel, Bassukas, Dimitrios, Kulls, Christoph Runoff, Soil Texture
Effects of green infrastructure composition and configuration on runoff Liu, Ling, Chen, Zhaofang, Lu, Xinghao, Wang, Yuncai Runoff, Soil Texture
Effects of River Channel Structural Modifications on High-Flow Characteristics Using 2D Rain-on-Grid HEC-RAS Modelling: A Case of Chongwe River Catchment in Zambia Mudenda, Frank, M. Mwangi, Hosea, Gathenya, John M., Maina, Caroline W. Runoff, Soil Texture
Evaluating urban flood risk and retention potential using InVEST-UFRM: a case study from Gurugram, India Sehrawat, Simran, Shekhar, Sulochana Runoff, Soil Texture
Deep learning-based aided spatial mapping of local scale hydrologic soil Faouzi, Elhousna, Arioua, Abdelkrim, Hssaisoune, Mohammed, Houmma, Ismaguil Hanade, Brahim, Yassine Ait, Ismail, Karaoui, Arshad, Arfan, Bouchaou, Lhoussaine Runoff, Soil Texture
Flood-sensitive land take (FSL) analysis: A new way to read how urban Azadgar, Anahita, Benedini, Andrea, Salata, Stefano, Lacoere, Peter, Badach, Joanna, Nyka, Lucyna Runoff, Soil Texture
How do international boundary river dynamics affect riparian land? Insights from the China-Russia Ussuri River Huang, Sijing, Lu, Shengquan, Wu, Bin, Zhang, Wenzhu Runoff, Soil Texture
Feasibility of pumped hydro energy storage in arid climate using GIS and Badi, Shima Hassan, Alamailes, Abubaker A., Maitieg, Abduladim, Talhey, Mohamed A. Runoff, Soil Texture
Flood Hazard Assessment Under Subsidence-Influenced Terrain Using Deformation-Adjusted DEM in an Oil and Gas Field Al Sulaimani, Mohammed, Abdalla, Rifaat, El-Diasty, Mohammed, Al Abri, Amani, El-Ghali, Mohamed A. K., Tabook, Ahmed Runoff, Soil Texture
GEMS-GER: a machine learning benchmark dataset of long-term groundwater levels in Germany with meteorological forcings and site-specific environmental ... Ohmer, Marc, Liesch, Tanja, Habbel, Bastian, Heudorfer, Benedikt, Gomez, Mariana, Clos, Patrick, Nolscher, Maximilian, Broda, Stefan Runoff, Soil Texture
Predicting LULC Changes and Assessing their Impact on Surface Runoff Riche, Abdelkader, Drias, Ammar, Ricci, Riccardo, Souissi, Boularbah, Melgani, Farid Runoff, Soil Texture
Natural climate change and social population ageing reconstruct the flood risk gap between inland and coastal cities in China Gu, Xinyue, Liu, Xinhu, Long, Zhiyong, Duan, Huanfeng, Liu, Xintao Runoff, Soil Texture
Multilevel Flood Susceptibility Mapping by Fuzzy Sets, Analytical Gorsevski, Pece V., Milevski, Ivica Runoff, Soil Texture
Modeling of rainfall-runoff and flooding using HEC-HMS model through GIS Hagras, Ali Runoff, Soil Texture
Role of nutrient and runoff retention in reducing nutrient export and runoff: a comprehensive framework for sustainable basin-scale water management Shifaw, Eshetu, Vilas, Cesar, Corzo, Alfonso, Papaspyrou, Sokratis Runoff, Soil Texture
The potential of green infrastructure in urban pluvial flood mitigationa scenario-based modelling study in Berlin Dobkowitz, Sophia, De Vos, Leon Frederik, Jarajapu, Deva Charan, Lindenlaub, Sarah, Samprogna Mohor, Guilherme, Seleem, Omar, Bronstert, Axel Runoff, Soil Texture
A modified curve number method for runoff prediction of different soil Wang, Miaomiao, Zhao, Yangdong, Shi, Wenhai, Yu, Jinle, Chen, Tiantian, Bao, Jiachi, Song, Wenyi, Chen, Hongjun Runoff, Soil Texture
Application of explainable artificial intelligence to decode water-induced soil erosion in Lidder watershed of the Greater Himalayas Majid, Syed Irtiza, Kumar, Manish, Bhadwal, Sourav Runoff, Soil Texture
A Systematic Framework of Flash Floods Disaster-Causing Mechanisms in Liu, Qiuyuan, Yang, Ranmao, Zhao, Lin, Li, Xinxin, Wang, Gangsheng, Wu, Jianjun Runoff, Soil Texture
An online tool and open database for curve number (CN) data retrieval in Kourtis, Ioannis M., Perdikaki, Martha, Zacharakis, Ioannis, Zotou, Ioanna, Vangelis, Harris, Kallioras, Andreas, Tsihrintzis, Vassilios A. Runoff, Soil Texture
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