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start:hype_tutorials:parameter_regionalisation [2015/06/18 13:24]
rcapell
start:hype_tutorials:parameter_regionalisation [2015/06/18 13:26]
rcapell
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 **Regionalization of HYPE parameters** **Regionalization of HYPE parameters**
  
-The HYPE parameters can be grouped into different categories based on the scale at which they operate. Parameters that operate at the HRU scale are generally soil type or landuse dependent and their values are estimated based either on landuse or soil type. There are also a group of parameters that are defined at a subbasin scale. These include those parameters designated as //general parameters//​ that are assigned the same value throught the model domain and //super parameters//,​ which are region ​speccific ​parameters. This section gives a brief introduction to the option HYPE offers to the regionalization of these subbasin scale parameters.+The HYPE parameters can be grouped into different categories based on the scale at which they operate. Parameters that operate at the HRU scale are generally soil type or landuse dependent and their values are estimated based either on landuse or soil type. There are also a group of parameters that are defined at a subbasin scale. These include those parameters designated as //general parameters//​ that are assigned the same value throught the model domain and //super parameters//,​ which are region ​specific ​parameters. This section gives a brief introduction to the option HYPE offers to the regionalization of these subbasin scale parameters.
  
 HYPE offers the possibility for regionalization of the subbasin scale model parameters as a linear function of a set of catchment descriptors that are expected to control the parameter in question. This allows introducing variability of both the //general parameters//​ and the //super parameters//​ across the model domain based on variability of the physical controls of the processes the parameters decsribe. Furthermore,​ since the approach links the model parameters with measurable catchment characteristics,​ it allows estimation in ungauged catchments. One has the choice to implement these estimators globally across the entire model domain or employ separate estimators for a number of different regions defined within the model domain. Any kind of grouping of subbains can be employed and subbasins that consitute a given group need not be geographically contiguous. HYPE offers the possibility for regionalization of the subbasin scale model parameters as a linear function of a set of catchment descriptors that are expected to control the parameter in question. This allows introducing variability of both the //general parameters//​ and the //super parameters//​ across the model domain based on variability of the physical controls of the processes the parameters decsribe. Furthermore,​ since the approach links the model parameters with measurable catchment characteristics,​ it allows estimation in ungauged catchments. One has the choice to implement these estimators globally across the entire model domain or employ separate estimators for a number of different regions defined within the model domain. Any kind of grouping of subbains can be employed and subbasins that consitute a given group need not be geographically contiguous.
start/hype_tutorials/parameter_regionalisation.txt ยท Last modified: 2024/01/25 11:37 (external edit)