کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6537869 | 158348 | 2013 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Random errors in carbon and water vapor fluxes assessed with Gaussian Processes
ترجمه فارسی عنوان
اشتباهات تصادفی در جریان های کربن و بخار آب با فرایندهای گازی بررسی شده است
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
چکیده انگلیسی
Here, it is demonstrated that the HGP model captures measurement noise variances well, outperforming the model residual method and providing reasonable flux predictions at the same time. Based on meteorological drivers and temporal information, uncertainties of annual sums of carbon flux and water vapor flux at six different tower sites in Europe and North America are estimated. Similar noise patterns with different magnitudes were found across sites. Random uncertainties in annual sums of carbon fluxes were between 9.80 and 31.57 g C mâ2 yrâ1 (or 4-9% of the annual flux), and were between 2.54 and 8.13 mm yrâ1 (or 1-2% of the annual flux) for water vapor fluxes. The empirical HGP model offers a general method to estimate random errors at half-hourly resolution based on entire annual records of measurements. It is introduced as a new tool for random uncertainty assessment widely throughout the FLUXNET network.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Agricultural and Forest Meteorology - Volumes 178â179, 15 September 2013, Pages 161-172
Journal: Agricultural and Forest Meteorology - Volumes 178â179, 15 September 2013, Pages 161-172
نویسندگان
Olaf Menzer, Antje Maria Moffat, Wendy Meiring, Gitta Lasslop, Ernst Günter Schukat-Talamazzini, Markus Reichstein,