Your browser does not support JavaScript!

Home    Search  

Results - Details

Search command : Author="Μιχαλόπουλος"  And Author="Νικόλαος"

Current Record: 12 of 85

Back to Results Previous page
Next page
Add to Basket
[Add to Basket]
Identifier 000449579
Title Προσαρμογή ενός συστήματος αφομοίωσης ατμοσφαιρικών δεδομένων για την μελέτη των εκπομπών μεθανίου στην Ελλάδα.
Alternative Title Adaptation of an atmospheric data assimilation system for the study of methane emissions in Greece.
Author Ευαγγέλου, Ιωάννα Χ.
Thesis advisor Κανακίδου, Μαρία
Reviewer Κοσιώρης, Γεώργιος
Μιχαλόπουλος, Νικόλαος
Abstract Global warming induced by greenhouse gases has been an issue of outmost concern in the recent years. Methane (CH4), which is the second most important greenhouse gas after carbon dioxide (CO2), increases rapidly, mainly due to human activities. In the present study, we aim to optimize the estimations of CH4 anthropogenic emissions over Central-Eastern Mediterranean and over Greece as reported by Copernicus Atmosphere Monitoring Service, using inverse modeling. For this purpose, Weather Research and Forecasting - Greenhouse Gas model coupled with CarbonTracker Data Assimilation Shell, integrating satellite observations from TROPOMI/WFMD product and in-situ measurements from Finokalia station is implemented and used. Two one-way nested domains are selected, one over Central-Eastern Mediterranean and one over Greece and five different geographical regions in this study area are optimized. 50 ensemble members are used in the inversion with an optimization time step of one week and an assimilation window of 5 weeks. The inversion period is set to the first ten weeks of 2019. We investigated two different setups, one with transport model error of 10 ppb and 5 ppb for satellite data and in situ measurements, respectively and one with ten times larger error. In all of the weeks inverted for the two simulations, almost only negative fluxes are predicted. This is attributed to high initial and boundary conditions compared to the observations that were selected to work as input in our system. Furthermore, different number of positive emission regions in the study area are predicted by each inversion setup indicating the large influence of transport model error magnitude in the emissions estimation results.
Language English, Greek
Subject CTDAS
WRF
Αντίστροφη μοντελοποίηση
Εκπομπές
Ιnverse modeling
Μεθάνιο
Σφάλμα μοντέλου μεταφοράς
Τransport model error
Issue date 2022-07-28
Collection   School/Department--School of Sciences and Engineering--Department of Chemistry--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/7/e/b/metadata-dlib-1657096862-257366-24949.tkl Bookmark and Share
Views 313

Digital Documents
No preview available

Download document
View document
Views : 3