کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6962345 1452266 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Model evaluation in relation to soil N2O emissions: An algorithmic method which accounts for variability in measurements and possible time lags
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
پیش نمایش صفحه اول مقاله
Model evaluation in relation to soil N2O emissions: An algorithmic method which accounts for variability in measurements and possible time lags
چکیده انگلیسی
The loss of nitrogen from fertilised soils in the form of nitrous oxide (N2O) is a side effect of modern agriculture and the focus of many model-based studies. Due to the spatial and temporal heterogeneity of soil N2O emissions, the measured data can introduce limitations to the use of those statistical methods that are most commonly employed in the evaluation of model performance. In this paper, we describe these limitations and present an algorithm developed to address them. We implement the algorithm using simulated and measured N2O data from two UK arable sites. We show that possible time lags between the measured and simulated data can affect model evaluation and that their consideration in the evaluation process can reduce measures such as the Mean Squared Error (MSE) by 30%. We also analyse the algorithm's results to identify patterns in the estimated lags and to narrow down their possible causes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 84, October 2016, Pages 251-262
نویسندگان
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