Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.

HS8.3.4

Pedotransfer functions (PTFs) are developed and applied in assorted disciplines of the Earth system science for modeling purposes. They are knowledge rules of various complexity relating available soil information to soil properties and variables which are needed to parameterize soil processes. Initially, PTFs were developed to estimate soil hydraulic properties, and their field of application has considerably expanded over the last two decades.
We expect this session to provide a fruitful environment with presentations and discussion on the development, application and evaluation of PTFs iv various disciplines of Earth system sciences. We encourage contributions from different covering topics that need further research such as PTFs for biogeochemical and biological processes, methodological developments including suitable extrapolation and upscaling techniques, and assessments of the uncertainty in estimated parameters or processes.

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Co-organized as SSS13.25
Convener: Gonzalo Martinez | Co-conveners: Yakov Pachepsky, Karl Vanderlinden, Harry Vereecken
Pedotransfer functions (PTFs) are developed and applied in assorted disciplines of the Earth system science for modeling purposes. They are knowledge rules of various complexity relating available soil information to soil properties and variables which are needed to parameterize soil processes. Initially, PTFs were developed to estimate soil hydraulic properties, and their field of application has considerably expanded over the last two decades.
We expect this session to provide a fruitful environment with presentations and discussion on the development, application and evaluation of PTFs iv various disciplines of Earth system sciences. We encourage contributions from different covering topics that need further research such as PTFs for biogeochemical and biological processes, methodological developments including suitable extrapolation and upscaling techniques, and assessments of the uncertainty in estimated parameters or processes.