Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Observational data and scale dependent parameterisations: explorations using a virtual hydrological reality.
AU - Bashford, Kathy
AU - Beven, Keith J.
AU - Young, Peter C.
PY - 2002/2/15
Y1 - 2002/2/15
N2 - The use of small-scale process descriptions at larger scales has been identified as a major problem in hydrological modelling. An alternative is to use measurements taken at a larger scale, such as remote sensing data, and to develop process descriptions at that scale. A hypothetical catchment area, or virtual hydrological reality dataset has been generated to explore the value of different types of data in model structure and parameter identification. Though only an approximation to the natural responses of the catchment, this virtual reality can be used to explore the use of observational series that would not normally be available. A data-based mechanistic approach was used to model evapotranspiration from 1 km data, as though they were available from remote sensing. The resulting parameterization is of a similar form to an evaporative fraction model. It is an example of the type of parameterization that could be used to describe the land surface, without estimation of effective parameters from small-scale measurements, and avoiding overparameterization.
AB - The use of small-scale process descriptions at larger scales has been identified as a major problem in hydrological modelling. An alternative is to use measurements taken at a larger scale, such as remote sensing data, and to develop process descriptions at that scale. A hypothetical catchment area, or virtual hydrological reality dataset has been generated to explore the value of different types of data in model structure and parameter identification. Though only an approximation to the natural responses of the catchment, this virtual reality can be used to explore the use of observational series that would not normally be available. A data-based mechanistic approach was used to model evapotranspiration from 1 km data, as though they were available from remote sensing. The resulting parameterization is of a similar form to an evaporative fraction model. It is an example of the type of parameterization that could be used to describe the land surface, without estimation of effective parameters from small-scale measurements, and avoiding overparameterization.
KW - data-based mechanistic
KW - hydrological modelling
KW - remote sensing
KW - scale dependent
U2 - 10.1002/hyp.339
DO - 10.1002/hyp.339
M3 - Journal article
VL - 16
SP - 293
EP - 312
JO - Hydrological Processes
JF - Hydrological Processes
SN - 0885-6087
IS - 2
ER -