Base de données de recherche des TNO

Régions: Qikiqtaaluk Region

étiquettes: physical sciences, water quality, climate change, hydrology, remote sensing

Objectif(s): To reconstruct trends in ice phenology using remotely-sensed and ground-based observations and collective memories of land-based and in-lake changes by communities living along the shoreline of Great Bear Lake.

Description du projet: This licence has been issued for the scientific research application No. 5677. This project aims to reconstruct trends in ice phenology using remotely-sensed and ground-based observations and collective memories of land-based and in-lake changes by communities living along the shoreline of Great Bear Lake (GBL) to characterize the interannual variability of ice formation in the lake and determine the extent to which the changes can be attributed to climate warming. Also to reconstruct trends of Lake Surface Temperature (LST) using remotely- sensed and ground-based observations to characterize the interannual variability of lake physical changes such as water column stratification and lake-atmospheric exchange and determine the extent to which the changes can be attributed to climate warming. The team will calibrate the coupled Canadian Regional Climate Model-Nucleus for European Modeling of the Ocean (CRCM- NEMO) to investigate and quantify the role and impact of Canadian Northern Lakes in changing climate. The research team will develop Great Bear Lake water quality algorithms for satellite-based optical properties, temperature, water quality and emissivity data collected in the visible and near-infrared and thermal range. Targeted parameters will include chlorophyll-a, turbidity and water surface temperature. We will sample water quality over the lake during the fieldwork. Multivariate analyses will be performed to identify patterns of variation and potential correlations between trends in lake water quality, lake ice coverage, and land surface temperature and vegetation. We will generate visual products documenting changes in lake water quality and biological productivity. We will also focus on the ice and snow parameterization of the model using the data that we will collect over the lake in winter including snow depth and ice thickness using Ground Penetrating Radar (GPR). The Principal Investigator has been meeting Deline Got'ine Government (DGG) members, virtually and in-person during my visits during February 2020 and December 2023 and discussing the research plans and collaborations. I've received the letter of support from DGG. The fieldwork for this study will be conducted from July 20, 2023 to December 31, 2023.