Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 6 of 6
Full-Text Articles in Entire DC Network
Ten Steps Applied To Development And Evaluation Of Process-Based Biogeochemical Models Of Estuaries, Barbara J. Robson, Ian T. Webster, David P. Hamilton, Terence Chan, Teemu Kokkonen
Ten Steps Applied To Development And Evaluation Of Process-Based Biogeochemical Models Of Estuaries, Barbara J. Robson, Ian T. Webster, David P. Hamilton, Terence Chan, Teemu Kokkonen
International Congress on Environmental Modelling and Software
The procedures involved in model development may be set out ten-step process, beginning with defining the purpose of the model and ending with evaluation of the appropriateness and utility of the completed model. This process, recently outlined by Jakerman et al. [2006], is often iterative as model development is a continuous process that refines and improves the indented capacity of the model. Here, we show how the ten steps of model development are relevant to process-based biogeochemical modeling of aquatic systems, using examples from two case studies: a model of phytoplankton succession and nutrient concentrations in the Swan-Canning Estuary (Western …
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
International Congress on Environmental Modelling and Software
Land cover changes over large areas can be monitored using remote sensing (RS) technology. These changes are one of the key driving forces for ecosystem carbon (C) dynamics. We applied the General Ensemble Biogeochemical Modeling System (GEMS) using a top-down, remote sensing (RS) driven mechanism to estimate forest C fluxes in the Laurentian Plains and Hills ecoregion in the northeastern United States for the period of 1972-2000. Disturbances such as forest stand replacement were detected on 30 randomly-located 10-km by 10-km sampling blocks using Landsat imagery at 60-m resolution. Spatially explicit modeling of carbon dynamics in GEMS was organized using …
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
International Congress on Environmental Modelling and Software
Land cover changes over large areas can be monitored using remote sensing (RS) technology. These changes are one of the key driving forces for ecosystem carbon (C) dynamics. We applied the General Ensemble Biogeochemical Modeling System (GEMS) using a top-down, remote sensing (RS) driven mechanism to estimate forest C fluxes in the Laurentian Plains and Hills ecoregion in the northeastern United States for the period of 1972-2000. Disturbances such as forest stand replacement were detected on 30 randomly-located 10-km by 10-km sampling blocks using Landsat imagery at 60-m resolution. Spatially explicit modeling of carbon dynamics in GEMS was organized using …
Ten Steps Applied To Development And Evaluation Of Process-Based Biogeochemical Models Of Estuaries, Barbara J. Robson, Ian T. Webster, David P. Hamilton, Terence Chan, Teemu Kokkonen
Ten Steps Applied To Development And Evaluation Of Process-Based Biogeochemical Models Of Estuaries, Barbara J. Robson, Ian T. Webster, David P. Hamilton, Terence Chan, Teemu Kokkonen
International Congress on Environmental Modelling and Software
The procedures involved in model development may be set out ten-step process, beginning with defining the purpose of the model and ending with evaluation of the appropriateness and utility of the completed model. This process, recently outlined by Jakerman et al. [2006], is often iterative as model development is a continuous process that refines and improves the indented capacity of the model. Here, we show how the ten steps of model development are relevant to process-based biogeochemical modeling of aquatic systems, using examples from two case studies: a model of phytoplankton succession and nutrient concentrations in the Swan-Canning Estuary (Western …
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
International Congress on Environmental Modelling and Software
Land cover changes over large areas can be monitored using remote sensing (RS) technology. These changes are one of the key driving forces for ecosystem carbon (C) dynamics. We applied the General Ensemble Biogeochemical Modeling System (GEMS) using a top-down, remote sensing (RS) driven mechanism to estimate forest C fluxes in the Laurentian Plains and Hills ecoregion in the northeastern United States for the period of 1972-2000. Disturbances such as forest stand replacement were detected on 30 randomly-located 10-km by 10-km sampling blocks using Landsat imagery at 60-m resolution. Spatially explicit modeling of carbon dynamics in GEMS was organized using …
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
Impacts Of Forest Disturbances On The Carbon Cycle In The Laurentian Plains And Hills Of The United States, Jinxun Liu, Shuguang Liu, Linda S. Heath, Thomas R. Loveland, Larry L. Tieszen
International Congress on Environmental Modelling and Software
Land cover changes over large areas can be monitored using remote sensing (RS) technology. These changes are one of the key driving forces for ecosystem carbon (C) dynamics. We applied the General Ensemble Biogeochemical Modeling System (GEMS) using a top-down, remote sensing (RS) driven mechanism to estimate forest C fluxes in the Laurentian Plains and Hills ecoregion in the northeastern United States for the period of 1972-2000. Disturbances such as forest stand replacement were detected on 30 randomly-located 10-km by 10-km sampling blocks using Landsat imagery at 60-m resolution. Spatially explicit modeling of carbon dynamics in GEMS was organized using …