Summary
The Rosetta program is used to estimate unsaturated hydraulic properties from
surrogate soil data such as soil texture data and bulk density. Models of this
type are called pedotransfer functions (PTFs) since they translate basic soil
data into hydraulic properties. Rosetta can be used to estimate the following
properties: water retention parameters according to van ... Genuchten (1980),
saturated hydraulic conductivity, and unsaturated hydraulic conductivity
parameters according to van Genuchten (1980) and Mualem (1976). Rosetta offers
five PTFs that allow prediction of the hydraulic properties with limited or
more extended sets of input data. This hierarchical approach is of a great
practical value because it permits optimal use of available input data. The
models use the following hierarchical sequence of input data: sand, silt, and
clay percentages, bulk density and water retention points, and soil textural
class.

[Summary adapted from Rosetta web page.]

Service Citation

Title: Rosetta Release_Date: 1999-00-00 Provider: United States Salinity Laboratory Edition: 1.0 URL: http://www.ars.usda.gov/Services/docs.htm?docid=8953

Service Keywords

MODELS >COMPONENT PROCESS MODELS

Science Keywords

AGRICULTURE >SOILS >HYDRAULIC CONDUCTIVITY AGRICULTURE >SOILS >HYDRAULIC CONDUCTIVITY AGRICULTURE >SOILS >HYDRAULIC CONDUCTIVITY LAND SURFACE >SOILS >HYDRAULIC CONDUCTIVITY AGRICULTURE >SOILS >SOIL BULK DENSITY AGRICULTURE >SOILS >SOIL TEXTURE LAND SURFACE >SOILS >SOIL BULK DENSITY LAND SURFACE >SOILS >SOIL CLASSIFICATION LAND SURFACE >SOILS >SOIL MOISTURE/WATER CONTENT LAND SURFACE >SOILS >SOIL TEXTURE AGRICULTURE >SOILS >SOIL MOISTURE/WATER CONTENT

ISO Topic Category

FARMING GEOSCIENTIFIC INFORMATION

Platform

MODELS

Quality
Rosetta has been tested for a large number of cases. However, no
warranty is given that the program is completely error-free.

Use Constraints
Rosetta V1.0 is a Windows 95/98 program. Although it is based on
ACCESS-97 database tables which allow efficient handling and lookup of
small and large volumes of data, ACCESS-97 is not required to run
Rosetta. Data can be either manually entered or read from ASCII
files. The maximum amount of samples (records) that Rosetta can handle
is limited by the available hard disk space. Estimated hydraulic
properties can be exported in ASCII files and used in other programs.
ACCESS-97 can be used to manage `Rosetta's predictions in a larger
project, provided that the tables created by Rosetta are not altered.

Ancillary Keywords

Soil Sand Silt Clay Water Retention Mathematical Models Unsaturated Hydraulic Properties

Service Provider

USDA/ARS/USSL > U.S. Salinity Laboratory, Agricultural Research Service, U. S. Department of Agriculture Service Organization URL: http://www.ars.usda.gov/pwa/riverside/gebjsl Service Provider Personnel Name: MARCEL G. SCHAAP Phone: 909-369-4844 Fax: 909-342-4964 Email: mschaap at ussl.ars.usda.gov Contact Address: U.S. Salinity Laboratory 450 W. Big Springs Road City: Riverside Province or State: CA Postal Code: 92507 Country: USA

Distribution Media

Distribution_Media: ftp Distribution_Size: 6 MB Distribution_Format: database tables

Personnel

TYLER B. STEVENS Role: SERF AUTHOR Phone: (301) 614-6898 Fax: 301-614-5268 Email: Tyler.B.Stevens at nasa.gov Contact Address: NASA Goddard Space Flight Center Global Change Master Directory City: Greenbelt Province or State: MD Postal Code: 20771 Country: USA

Related URL

Link: GET SERVICE > GET SOFTWARE PACKAGE Description: Rosetta can be downloaded from this page. The user must fill in the required information. The compressed ROSETTA.EXE file can be downloaded from our FTP site using our USSL FTP Access Page. Download ROSETTA.EXE from our USSL FTP Access Page (approximately 3 MB), store this file in a temporary directory and run it from the windows start menu Start-Run}). Subsequently, go to the start menu again and run SETUP.EXE from the same directory as used for ROSETTA.EXE. This will install Rosetta on your PC. Rosetta will take up less than 6 MB of disk space when installed.

Publications/References
Kosugi, K. 1999. General model for unsaturated hydraulic conductivity for
soils with lognormal pore-size distribution. Soil Sci. Soc. Am. J. 63:270-277.

Mualem, Y. 1976. A new model predicting the hydraulic conductivity of
unsaturated porous media. Water Resour. Res. 12:513-522.

Schaap, M.G. and W. Bouten. 1996. Modeling water retention curves ... of sandy
soils using neural networks. Water Resour. Res. 32:3033-3040.

Schaap, M.G., Leij F.J. and van Genuchten M.Th. 1998. Neural network
analysis for hierarchical prediction of soil water retention and saturated
hydraulic conductivity. Soil Sci. Soc. Am. J. 62:847-855.

Schaap, M.G., and F.J. Leij, 1998. Database Related Accuracy and Uncertainty
of Pedotransfer Functions, Soil Science 163:765-779.

Schaap, M.G., F.J. Leij and M. Th. van Genuchten. 1999. A bootstrap-neural
network approach to predict soil hydraulic parameters. In: van Genuchten,
M.Th., F.J. Leij, and L. Wu (eds), Proc. Int. Workshop, Characterization and
Measurements of the Hydraulic Properties of Unsaturated Porous Media , pp
1237-1250, University of California, Riverside, CA.

Schaap, M.G., F.J. Leij, 1999, Improved prediction of unsaturated
hydraulic conductivity with the Mualem-van Genuchten, Submitted to
Soil Sci. Soc. Am. J.

van Genuchten, M.Th. 1980. A closed-form equation for predicting the
hydraulic conductivity of unsaturated soils. Soil Sci. Am. J. 44:892-898.

Creation and Review Dates

SERF Creation Date: 1999-09-13 SERF Last Revision Date: 2007-04-20 Future SERF Review Date: 2002-07-18

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