Articles | Volume 13, issue 1
Earth Syst. Sci. Data, 13, 83–97, 2021
https://doi.org/10.5194/essd-13-83-2021

Special issue: Linking landscape organisation and hydrological functioning:...

Earth Syst. Sci. Data, 13, 83–97, 2021
https://doi.org/10.5194/essd-13-83-2021

Data description paper 20 Jan 2021

Data description paper | 20 Jan 2021

EstSoil-EH: a high-resolution eco-hydrological modelling parameters dataset for Estonia

Alexander Kmoch et al.

Related authors

GRQA: Global River Water Quality Archive
Holger Virro, Giuseppe Amatulli, Alexander Kmoch, Longzhu Shen, and Evelyn Uuemaa
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-51,https://doi.org/10.5194/essd-2021-51, 2021
Preprint under review for ESSD
Short summary

Related subject area

Hydrology and Soil Science – Soil Sciences, Soil Chemistry, Soil Biochemistry
Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019
Qiang Zhang, Qiangqiang Yuan, Jie Li, Yuan Wang, Fujun Sun, and Liangpei Zhang
Earth Syst. Sci. Data, 13, 1385–1401, https://doi.org/10.5194/essd-13-1385-2021,https://doi.org/10.5194/essd-13-1385-2021, 2021
Short summary
An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018
Yongzhe Chen, Xiaoming Feng, and Bojie Fu
Earth Syst. Sci. Data, 13, 1–31, https://doi.org/10.5194/essd-13-1-2021,https://doi.org/10.5194/essd-13-1-2021, 2021
Short summary
A new dataset of soil carbon and nitrogen stocks and profiles from an instrumented Greenlandic fen designed to evaluate land-surface models
Xavier Morel, Birger Hansen, Christine Delire, Per Ambus, Mikhail Mastepanov, and Bertrand Decharme
Earth Syst. Sci. Data, 12, 2365–2380, https://doi.org/10.5194/essd-12-2365-2020,https://doi.org/10.5194/essd-12-2365-2020, 2020
Short summary
Spatial radionuclide deposition data from the 60 km radial area around the Chernobyl Nuclear Power Plant: results from a sampling survey in 1987
Valery Kashparov, Sviatoslav Levchuk, Marina Zhurba, Valentyn Protsak, Nicholas A. Beresford, and Jacqueline S. Chaplow
Earth Syst. Sci. Data, 12, 1861–1875, https://doi.org/10.5194/essd-12-1861-2020,https://doi.org/10.5194/essd-12-1861-2020, 2020
Short summary
Generalized models to estimate carbon and nitrogen stocks of organic soil horizons in Interior Alaska
Kristen Manies, Mark Waldrop, and Jennifer Harden
Earth Syst. Sci. Data, 12, 1745–1757, https://doi.org/10.5194/essd-12-1745-2020,https://doi.org/10.5194/essd-12-1745-2020, 2020
Short summary

Cited articles

Abbaspour, K. C., Vaghefi, S. A., Yang, H. and Srinivasan, R.: Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications, Sci. Data, 6, 263, https://doi.org/10.1038/s41597-019-0282-4, 2019. 
Abdelbaki, A. M.: Evaluation of pedotransfer functions for predicting soil bulk density for U.S. soils, Ain Shams Eng. J., 9, 1611–1619, https://doi.org/10.1016/j.asej.2016.12.002, 2018. 
Adams, W. A.: The Effect of Organic Matter on the bulk and true Densities of some Uncultivated Podzolic Soils, J. Soil Sci., 24, 10–17, https://doi.org/10.1111/j.1365-2389.1973.tb00737.x, 1973. 
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. B., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979. 
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. 
Download
Short summary
The Soil Map of Estonia is the most detailed and information-rich dataset for soils in Estonia. But its information is not immediately usable for analyses or modelling. We derived parameters including soil layering, soil texture (clay, silt, and sand content), coarse fragments, and rock content and aggregated and predicted physical variables related to water and carbon cycles (bulk density, hydraulic conductivity, organic carbon content, available water capacity).