کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4758952 1420864 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Impact of biases in gridded weather datasets on biomass estimates of short rotation woody cropping systems
ترجمه فارسی عنوان
تأثیر تعصبات در داده های آب و هوایی جدول داده ها بر پیش بینی های زیست توده از سیستم های زراعی چرخان کوتاه
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
چکیده انگلیسی
Results suggest that weather variables in all gridded datasets are characterized by some degree of bias leading to considerable bias in biomass estimates, in some cases up to 45%. PRISM and Daymet were shown to have lower uncertainty in most of the weather variables, likely due to their higher spatial resolution and higher dependency on station weather. Site level simulations indicate that relative to the reference biomass estimates based on actual weather measurements, NARR data yielded 4.1 Mg ha−1 y−1 higher biomass while NLDAS, Daymet, and PRISM resulted in 3.3, 1.2 and 0.3 Mg ha−1 y−1 lower biomass. Regional simulations suggest that total biomass varied substantially with gridded data sources ranging between 47.4 and 58.3 Tg on the croplands and rangelands in the region (Columbia Plateau), which subsequently led up to 23% variation in the estimate of poplar based jet fuel production from the SRWC resource. Therefore, findings of this study reinforce the need to account for uncertainties in biomass estimates introduced by biases in gridded weather when modeling bioenergy production.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Agricultural and Forest Meteorology - Volume 233, 15 February 2017, Pages 71-79
نویسندگان
, , , ,