کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4978257 1452254 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The implication of input data aggregation on up-scaling soil organic carbon changes
ترجمه فارسی عنوان
مفهوم تجمع اطلاعات ورودی به تغییر مقیاس کربن آلی خاک
کلمات کلیدی
مدل بیوگرافی شیمیایی، جمع آوری داده ها، خطای مقیاس بالا، کربن آلاینده خاک
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
In up-scaling studies, model input data aggregation is a common method to cope with deficient data availability and limit the computational effort. We analyzed model errors due to soil data aggregation for modeled SOC trends. For a region in North West Germany, gridded soil data of spatial resolutions between 1 km and 100 km has been derived by majority selection. This data was used to simulate changes in SOC for a period of 30 years by 7 biogeochemical models. Soil data aggregation strongly affected modeled SOC trends. Prediction errors of simulated SOC changes decreased with increasing spatial resolution of model output. Output data aggregation only marginally reduced differences of model outputs between models indicating that errors caused by deficient model structure are likely to persist even if requirements on the spatial resolution of model outputs are low.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 96, October 2017, Pages 361-377
نویسندگان
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