مورد إلكتروني
Evaluating the methane budget in Europe using inverse modelling
| العنوان: | Evaluating the methane budget in Europe using inverse modelling |
|---|---|
| بيانات النشر: | 1999-06-22 |
| تفاصيل مُضافة: | PB-NOPII Stijnen J |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | niet beschikbaar The Kalman filter is used as a data-assimilation technique to calculate methane concentrations and emissions in Europe. The filter combines the results of model calculations and measurements to achieve an optimal estimate using knowledge of the system or model noise and the measuring noise. The results of the Eulerian 3 D Euros model, which calculates emissions, transport and concentrations of methane all over in Europe, and the results of five methane measuring stations in the Netherlands and one in Ireland are used simultaneously in the filter. The filter is very time consuming on a computer and therefore Kriging and a Reduced Rank Square Root (RRSQRT) algorithm are implemented to reduce calculation time. The results show that it is very important to carefully select the optimal parameters in the model: the system and measurement noise, the Kriging interpolation factors and the number of significant Eigenvalues in the RRSQRT algorithm to get reliable outcomes. Systematic differences between measurements and model calculations are caused by errors in the emission input. A fixed point smoother has been implemented - in combination with the filter - to be able to get an optimal estimate of methane emissions in Europe. The working of the smoother and the influence of the smoother parameters on the model results have been analysed. |
| مصطلحات الفهرس: | 09, verspreiding, stofgedrag, modellenonderzoek, methaan, emissies, concentratie, methane, emission, concentration, transport processes, modelling, euros, kalmanfilter, eigenvalues, Report |
| URL: | Global Change NOP-NRP report 410200007 |
| الإتاحة: | Open access content. Open access content |
| ملاحظة: | English |
| أرقام أخرى: | NERIV oai:rivm.openrepository.com:10029/262257 9058510026 1298218791 |
| المصدر المساهم: | RIVM From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1298218791 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |