Physics Seminar-FR

Event Details:

Physics Department Seminar (contact physics@unb.ca for link).

Speaker:  Ebtesam Gabr, UNB Physics

Topic: "Investigating the characteristics of Precipitable Water Vapor (PWV) over Arctic region"

"In recent decades the Arctic has been warming considerably faster than the global average in a phenomenon referred to as “Arctic Amplification”. The federal government climate report which is released in 2019 stated that Canada’s climate has warmed and will warm further in the future and both past and future warming in Canada is, on average, about double the magnitude of global warming. In general, each 10 K rise in temperature can make the atmospheric water vapor content increase by 7 per cent, and the increase of water vapor, as a greenhouse gas, will accelerate the warming of the climate. Compared to other greenhouse gases like carbon dioxide and methane, water vapor has a higher spatiotemporal variability. For that reason, the change of atmospheric water vapor content has an important impact on weather prediction and global climate change. Nowadays, lots of methods and measurement technique can be used to detect atmospheric PWV such as Radiosonde, Water Vapor Radiometer (WVR), Sun photometry, and Global Navigation Satellite System (GNSS). Because of the cost and observation condition limitation reasons of other techniques, remote sensing of atmospheric water vapor using (GNSS) observations data has become an effective tool in meteorology, weather forecasting, and climate research. It can be used to estimate the PWV in real-time and sensing continuously. The scope of this research is to investigate the characteristics of PWV using the GNSS technique over the Arctic region. A nine GNSS receivers of CHAIN network stations distributed along a wide range of geographical latitudes ranging between 58° N - 80° N. The GNSS derived PWV has been validated through comparison with collocated radiosonde stations and generation ECMWF (European Centre for Medium-Range Weather Forecasts) ERA-5 reanalyses data. The comparison of GNSS-derived PWV has a good agreement with both radiosonde PWV and ERA 5. The diurnal cycle, seasonal variation, and long-term trends are investigated."

Building: Virtual