Skip to main content

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: 2026-06-03

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Impact of urban planning on ecosystem services supply-demand balance: Yamaguchi, Ayane, Hashimoto, Shizuka, Wanhui, Huang, Dasgupta, Rajarshi, Meraj, Gowhar Runoff, Soil Texture
Multi-dimensional scaling for space-time transformation to achieve Ul Hasan, Mohd Sayeed, Rai, Abhishek Kumar, Momin, Abul Hasan, Khan, Mohammad Amir, Alfaisal, Faisal M., Alam, Shamshad, Al-sareji, Osamah J., Majdi, Ali Runoff, Soil Texture
Modified Horton's infiltration model integrated with a Sub-Grid shallow water equation solver for High-Resolution flooding simulation Saha, Abhishek, Stelling, Guus, Vuik, Cornelis Runoff, Soil Texture
Modeling ecosystem services in Armenia using InVEST: a scenario-based Kazakov, Eduard, Bukvareva, Elena Runoff, Soil Texture
National soil hydrologic groups map for environmental applications using Szabo, Brigitta, Kolcsar, Ronald Andras, Meszaros, Janos, Laborczi, Annamaria, Takacs, Katalin, Szatmari, Gabor, Mako, Andras, Rajkai, Kalman, Benyhe, Balazs, Barta, Karoly, Pasztor, Laszlo, Bakacsi, Zsofia Runoff, Soil Texture
South African soil, land cover and weather generator file databases for le Roux, Jay, Mararakanye, Ndifelani, van der Laan, Michael, Mudaly, Leushantha, Weepener, Harold Louw, van Tol, Johan Runoff, Soil Texture
Spatial Attribution of Temporal Variability in Global Land-Atmosphere Lee, H., Jung, M., Carvalhais, N., Reichstein, M., Forkel, M., Bloom, A. A., PachecoLabrador, J., Koirala, S. Land Use/Land Cover Classification, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Runoff, Soil Texture, Terrestrial Water Storage, Ground Water, Glacier Mass Balance/Ice Sheet Mass Balance
Sensitivity analysis and calibration of a semi-distributed HBV model in Elgendy, Mohammed Refaat, Hassini, Sonia, Coulibaly, Paulin Runoff, Soil Texture
R-ECO: An R script to measure the supply of urban ecosystem services in Jato-Espino, Daniel, Jensen, Marina B. Runoff, Soil Texture
The invisible subsoil compaction risk under no- till farming Keller, Thomas, Bickel, Samuel, Or, Dani Runoff, Soil Texture
Surface Runoff Estimation Using SCS-CN and GIS Approach in the Kid Valley Basin, Nebk Area, South-East Sinai, Egypt Hagras, Ali Runoff, Soil Texture
Strategic green roof placement in Toronto to maximize benefits while incorporating citizen preferences Jung, Matthew, Gomes, Sharlene L., Remme, Roy P. Runoff, Soil Texture
Towards Accurate Flood Forecasting: Integrating Satellite Data Pourentezari, Saeideh, Salehi, Hossein, Haghighi, Alireza Razeghi, Sadeghi, Mojtaba, Faridhosseini, Alireza Runoff, Soil Texture
Transformation rate maps of dissolved organic carbon in the contiguous Li, Lingbo, Li, Hong-Yi, Abeshu, Guta, Tang, Jinyun, Leung, L. Ruby, Liao, Chang, Tan, Zeli, Tian, Hanqin, Thornton, Peter, Yang, Xiaojuan Runoff, Soil Texture
Urban Flood Risk Zonation Using GeoSM-NatE Tool: A Case Study of Kochi City, India Abdul Salam, Hudha, Mukherjee, Mahua, Yadav, Brijesh Kumar, Kumar, Atul Runoff, Soil Texture
Using a standardized event-based tool for drought analysis: Application to propagation predictability patterns Zeleke, Ethiopia B., Chawanda, Celray James, Melesse, Assefa M. Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Runoff, Soil Texture
Assessing multiple ecosystem services in 708 European urban areas Veerkamp, Clara Johanna, van Rijn, Frank, Spoon, Martijn, Loreti, Milan, Remme, Roy Paco, Dassen, Ton, Schipper, Aafke Margaretha Runoff, Soil Texture
Can eXplainable AI Offer a New Perspective for Groundwater Recharge Jung, Hyekyeng, SaynischWagner, Jan, Schulz, Stephan Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Carbon, Nitrogen, Soil Water Holding Capacity, Soil Bulk Density, Soil Chemistry, Soil Classification, Soil Moisture/Water Content, Soil Horizons/Profile, Runoff, Soil Texture
Characterizing soil hydrology in the Indo-Gangetic plain of Bihar, India: Methods and preliminary results Rossiter, D.G., Arenas-Calle, Laura, Urfels, Anton, Nayak, Harishankar, Sherpa, Sonam, McDonald, Andrew Runoff, Soil Texture
Flood Susceptibility Zonation of Paschim Medinipur and Hooghly District in West Bengal, India Using EDAS Model Naskar, Suvankar, Biswas, Brototi, Majumder, Sanjib Runoff, Soil Texture
Extreme weather characteristics and influences on urban ecosystem services in Wuhan Urban Agglomeration Dai, Xin, Wang, Lunche, Gong, Jie, Niu, Zigeng, Cao, Qian Runoff, Soil Texture
DEVELOPMENT AND ANALYSIS OF A GIS-BASED CURVE NUMBER MAP OF THE PHILIPPINES Alcober, Chris Alfred, Macuha, Richmark Runoff, Soil Texture
Evaluating socio-hydrological stress through potential stormwater harvesting sites using multi-criteria analysis in Mumbai, India Yadav, Nilesh, Wu, Jianping, Garg, R.D., Yao, Shenjun Runoff, Soil Texture
Human risk to tick encounters in the southeastern United States estimated with spatial distribution modeling Butler, Rebecca A., Papes, Mona, Vogt, James T., Paulsen, Dave J., Crowe, Christopher, Trout Fryxell, Rebecca T. Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Biomass, Litter Characteristics, Carbon, Forests, Runoff, Soil Texture, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification, Burned Area
Identification of Possible Incoming Runoff using Different Combinations of Extreme Rainfall Events in a Semi-arid Context: Banas River, Bisalpur Dam Catchment Kachhawa, Nitin Singh, Agnihotri, Prasit Girish Runoff, Soil Texture
You're viewing 75 of 119