期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 93, 期 -, 页码 1-12出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2017.03.005
关键词
LandscapeDNDC; CMF; SPOTPY; GLUE; Trace gas emissions
类别
资金
- LOEWE excellence cluster FACE2FACE of the Hessen State Ministry of Higher Education, Research and the Arts
- Deutsche Forschungsgemeinschaft (DFG) [BR2238/13-1, BU1173/12-1]
- FACCE-JPI MACSUR II
This work presents a novel way for assessing and comparing different hydro-biogeochemical model structures and their performances. We used the LandscapeDNDC modelling framework to set up four models of different complexity, considering two soil-biogeochemical and two hydrological modules. The performance of each model combination was assessed using long-term (8 years) data and applying different thresholds, considering multiple criteria and objective functions. Our results show that each model combination had its strength for particular criteria. However, only 0.01% of all model runs passed the complete rejectionist framework. In contrast, our comparatively applied assessments of single thresholds, as frequently used in other studies, lead to a much higher acceptance rate of 40-70%. Therefore, our study indicates that models can be right for the wrong reasons, i.e., matching GHG emissions while at the same time failing to simulate other criteria such as soil moisture or plant biomass dynamics. (C) 2017 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据