Article Type:
Research Article

Simsphere: A Downloadable Soil–Vegetation–Atmosphere–Transfer (SVAT) Model for Teaching and Research

Toby N. Carlson Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania;

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Arthur A. Person Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania;

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Thomas J. Canich College of Earth and Mineral Sciences, The Pennsylvania State University, University Park, Pennsylvania;

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George P. Petropoulos Department of Geography, Harokopio University of Athens, Athens, Greece

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Online Publication:
24 Dec 2021
Print Publication:
01 Dec 2021
DOI:
https://doi.org/10.1175/BAMS-D-20-0296.1
Page(s):
E2198–E2206
Restricted access

Abstract

Simsphere, a soil–vegetation–atmosphere–transfer (SVAT) model developed at The Pennsylvania State University, can be downloaded from the web for use by students and researchers. In existence for several decades, Simsphere has figured in both the classroom and in research at several universities. As such, Simsphere has been supported by a knowledgeable group of academic users and has been applied in a variety of applications, such as in remote sensing of surface soil water content and in the assessment of water and ozone stresses on plants. This paper describes the model and how it can be downloaded and run.

Professor emeritus

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Toby N. Carlson, tnc@psu.edu

Abstract

Simsphere, a soil–vegetation–atmosphere–transfer (SVAT) model developed at The Pennsylvania State University, can be downloaded from the web for use by students and researchers. In existence for several decades, Simsphere has figured in both the classroom and in research at several universities. As such, Simsphere has been supported by a knowledgeable group of academic users and has been applied in a variety of applications, such as in remote sensing of surface soil water content and in the assessment of water and ozone stresses on plants. This paper describes the model and how it can be downloaded and run.

Professor emeritus

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Toby N. Carlson, tnc@psu.edu
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