Effects of COVID-19 on First-Year Undergraduate Research in Physical Geography

Having confirmed that including research in first-year undergraduate teaching can actually help students understand the research process, link research with concepts, and improve both their academic and professional skills, we intended to evaluate how this experiential learning component fared during the COVID-19 challenge. For a first-year three-credit physical geography class, we have included a First Year Research Experience (FYRE) project for six iterations. A cluster analysis grouped students’ perceptions obtained from survey questions into five categories, from high to low. The results showed an overall improvement in perception of the FYRE during the pandemic, driven primarily by soft-skill development related to time management and self-motivation. Students were also able to better connect the research project with the theoretical content of the course. Components of the FYRE that suffered during the pandemic include engaging with course instructors and completing the oral presentation phase of the research. Soft-skill development continued through the second year of the pandemic, although students’ dissatisfaction with continued restrictions on in-person contact was evident

Is the Gridded Data Accurate? Evaluation of Precipitation and Historical Wet and Dry Periods from ERA5 Data for Canadian Prairies

Precipitation is crucial for the hydrological cycle and is directly related to many ecological processes. Historically, measurements of precipitation totals were made at weather stations, but spatial and temporal coverage suffered due to the lack of a robust network of weather stations and temporal gaps in observations. Several products have been proposed to identify the location of the occurrence of precipitation and measure its intensity from different types of estimates, based on alternative data sources, that have global (or quasi-global) coverage with long historical time series. However, there are concerns about the accuracy of these estimates. The objective of this study is to evaluate the accuracy of the ERA5 product for two ecoregions of the Canadian Prairies through comparison with monthly means measured from 1981–2019 at ten weather stations (in-situ), as well as to assess the intraseasonal variability of precipitation and identify dry and wet periods based on the annual Standardized Precipitation Index (SPI) derived from ERA5. A significant relationship between in-situ data and ERA5 data (with the R2 varying between 0.42 and 0.76) (p < 0.01)) was observed in nine of the ten weather stations analyzed, with lower RMSE in the Mixed Ecoregion. The Mean Absolute Percentage Error (MAPE) results showed greater agreement between the datasets in May (average R value of 0.84 and an average MAPE value of 32.33%), while greater divergences were observed in February (average R value of 0.57 and an average MAPE value of 50.40%). The analysis of wet and dry periods, based on the SPI derived from ERA5, and the comparison with events associated with the El Niño-Southern Oscillation (ENSO), showed that from the ERA5 data and the derivation of the SPI it is possible to identify anomalies in temporal series with consistent patterns that can be associated with historical events that have been highlighted in the literature. Therefore, our results show that ERA5 data has potential to be an alternative for estimating precipitation in regions with few in-situ stations or with gaps in the time series in the Canadian Prairies, especially at the beginning of the growing season