FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2077882577> ?p ?o ?g. }

• W2077882577 endingPage "598" @default.
• W2077882577 startingPage "590" @default.
• W2077882577 abstract "Research questions at the regional, national and global scales frequently require the upscaling of existing models. At large scales, simple model aggregation may have a prohibitive computational cost and lead to over-detailed problem representation. Methods that guide model simplification and revision have the potential to support the choice of the appropriate level of detail or heterogeneity within upscaled models. Efficient upscaling will retain only the heterogeneity that contributes to accurate aggregated results. This approach to model revision is challenging, because automatic generation of alternative models is difficult and the set of possible revised models is very large. In the case where simplification alone is considered, there are at least 2n−1 possible simplified models where n is the number of model variables. Even with the availability of High Performance Computing, it is not possible to evaluate every possible simplified model if the number of model variables is greater than roughly 35. To address these issues, we propose a method that extends an existing procedure for simplifying and aggregating mechanistic models based on replacing model variables with constants. The method generates simplified models by selectively aggregating existing model variables, retaining existing model structure while reducing the size of the set of possible models and ordering them into a search tree. The tree is then searched selectively. We illustrate the method using a catchment scale optimization model with c. 50,000 variables (Farm-adapt) in the context of adaptation to climatic change. The method was successful in identifying redundant model variables and an adequate model 10% smaller than the original model. We discuss how the procedure can be extended to other large models and compare the method to those proposed by others. We conclude by urging model developers to regard their models as a starting point and to consider the need for alternative models during model development." @default.
• W2077882577 created "2016-06-24" @default.
• W2077882577 creator A5019248593 @default.
• W2077882577 creator A5032781653 @default.
• W2077882577 creator A5036125266 @default.
• W2077882577 creator A5048260137 @default.
• W2077882577 creator A5067263621 @default.
• W2077882577 date "2010-02-01" @default.
• W2077882577 modified "2023-09-27" @default.
• W2077882577 title "Semi-automatic reduction and upscaling of large models: A farm management example" @default.
• W2077882577 cites W1590943005 @default.
• W2077882577 cites W1966685507 @default.
• W2077882577 cites W1966722561 @default.
• W2077882577 cites W2001403798 @default.
• W2077882577 cites W2004732529 @default.
• W2077882577 cites W2005498856 @default.
• W2077882577 cites W2006645819 @default.
• W2077882577 cites W2014467368 @default.
• W2077882577 cites W2021343752 @default.
• W2077882577 cites W2039211165 @default.
• W2077882577 cites W2040994406 @default.
• W2077882577 cites W2043520992 @default.
• W2077882577 cites W2046048402 @default.
• W2077882577 cites W2049015662 @default.
• W2077882577 cites W2054024354 @default.
• W2077882577 cites W2055382674 @default.
• W2077882577 cites W2058672313 @default.
• W2077882577 cites W2063761693 @default.
• W2077882577 cites W2077278144 @default.
• W2077882577 cites W2083892907 @default.
• W2077882577 cites W2086165162 @default.
• W2077882577 cites W2089076567 @default.
• W2077882577 cites W2103649625 @default.
• W2077882577 cites W2105554350 @default.
• W2077882577 cites W2108204502 @default.
• W2077882577 cites W2150470619 @default.
• W2077882577 cites W2168056435 @default.
• W2077882577 doi "https://doi.org/10.1016/j.ecolmodel.2009.11.006" @default.
• W2077882577 hasPublicationYear "2010" @default.
• W2077882577 type Work @default.
• W2077882577 sameAs 2077882577 @default.
• W2077882577 citedByCount "10" @default.
• W2077882577 countsByYear W20778825772012 @default.
• W2077882577 countsByYear W20778825772013 @default.
• W2077882577 countsByYear W20778825772014 @default.
• W2077882577 countsByYear W20778825772018 @default.
• W2077882577 countsByYear W20778825772023 @default.
• W2077882577 crossrefType "journal-article" @default.
• W2077882577 hasAuthorship W2077882577A5019248593 @default.
• W2077882577 hasAuthorship W2077882577A5032781653 @default.
• W2077882577 hasAuthorship W2077882577A5036125266 @default.
• W2077882577 hasAuthorship W2077882577A5048260137 @default.
• W2077882577 hasAuthorship W2077882577A5067263621 @default.
• W2077882577 hasConcept C111335779 @default.
• W2077882577 hasConcept C111472728 @default.
• W2077882577 hasConcept C113174947 @default.
• W2077882577 hasConcept C119857082 @default.
• W2077882577 hasConcept C121332964 @default.
• W2077882577 hasConcept C126255220 @default.
• W2077882577 hasConcept C134306372 @default.
• W2077882577 hasConcept C138885662 @default.
• W2077882577 hasConcept C151730666 @default.
• W2077882577 hasConcept C177264268 @default.
• W2077882577 hasConcept C17744445 @default.
• W2077882577 hasConcept C182365436 @default.
• W2077882577 hasConcept C199360897 @default.
• W2077882577 hasConcept C199539241 @default.
• W2077882577 hasConcept C2524010 @default.
• W2077882577 hasConcept C2776359362 @default.
• W2077882577 hasConcept C2778755073 @default.
• W2077882577 hasConcept C2779343474 @default.
• W2077882577 hasConcept C2780586882 @default.
• W2077882577 hasConcept C33923547 @default.
• W2077882577 hasConcept C41008148 @default.
• W2077882577 hasConcept C62520636 @default.
• W2077882577 hasConcept C86803240 @default.
• W2077882577 hasConcept C93959086 @default.
• W2077882577 hasConcept C94625758 @default.
• W2077882577 hasConceptScore W2077882577C111335779 @default.
• W2077882577 hasConceptScore W2077882577C111472728 @default.
• W2077882577 hasConceptScore W2077882577C113174947 @default.
• W2077882577 hasConceptScore W2077882577C119857082 @default.
• W2077882577 hasConceptScore W2077882577C121332964 @default.
• W2077882577 hasConceptScore W2077882577C126255220 @default.
• W2077882577 hasConceptScore W2077882577C134306372 @default.
• W2077882577 hasConceptScore W2077882577C138885662 @default.
• W2077882577 hasConceptScore W2077882577C151730666 @default.
• W2077882577 hasConceptScore W2077882577C177264268 @default.
• W2077882577 hasConceptScore W2077882577C17744445 @default.
• W2077882577 hasConceptScore W2077882577C182365436 @default.
• W2077882577 hasConceptScore W2077882577C199360897 @default.
• W2077882577 hasConceptScore W2077882577C199539241 @default.
• W2077882577 hasConceptScore W2077882577C2524010 @default.
• W2077882577 hasConceptScore W2077882577C2776359362 @default.
• W2077882577 hasConceptScore W2077882577C2778755073 @default.
• W2077882577 hasConceptScore W2077882577C2779343474 @default.
• W2077882577 hasConceptScore W2077882577C2780586882 @default.
• W2077882577 hasConceptScore W2077882577C33923547 @default.

• next