Meteorological parameters determine the physical properties of snow precipitating from the atmosphere, but snow layers also continue to develop within the snow pack after the precipitation event. New characteristics form depending on temperature fluctuations, interaction with the soil, overburden compression, rain-on-snow events and more. As climate change is evidenced across the globe and particularly in the Arctic, understanding the relationship between snow and climate is important. In this project, a set of observed data of snow layer characteristics, collected every two weeks each winter over a 50+ year period at Abisko Scientific Research Station, northern Sweden, is co-studied with a multi-layer snow pack model which is able to reproduce additional snow properties. Data is presented in long time series as well as in high resolution to capture both trends and details. Comparison between modelled and observed data is made where possible. Physical processes are discussed and potential trends in the data are evaluated. Results show good agreement for snow pack depth between model and observations, while modelled snow density is largely confirmed by comparison with other records of density measured at Abisko. Modelled outputs illustrate snow pack temperature fluctuations, percolation of melt water and densification of snow layers within the profiles; observed data show variations in snow layer hardness, grain compactness, grain size and dryness. Long-term trends indicate an increase in snow layer hardness and a decrease in snow grain size since the beginning of the record. / Förhållanden i atmosfären bestämmer vilken sorts snö som fälls ut som nederbörd, men de snöskikt som bildas i säsongspackad snö fortsätter även att utvecklas genom hela vintern. Snölagrens egenskaper förändras beroende på temperaturvariationer, termodynamisk växelverkan med markytan, belastning från ovanliggande snö, regn, med mera. Med accelererande klimatförändringar – särskilt i Arktis – är det viktigt att förstå hur snö och klimat interagerar. I detta projekt analyseras en serie observationer av snöskikt och snöegenskaper, insamlade under mer än 50 år vid Abisko naturvetenskapliga station, jämte en snöpackmodell som ger information om ytterligare egenskaper hos snön. Snödata presenteras både för enskilda säsonger och i långa tidsserier för att fånga upp detaljer såväl som utvecklingen över tid. Där det är möjligt görs jämförelser mellan modelldata och observationer. De fysikaliska processer som ger upphov till förändringar i snön diskuteras och eventuella trender i dataserierna utvärderas. Resultaten visar att snödjup stämmer väl överens mellan modell och observationer. Modellerad snödensitet styrks vid jämförelse med tidiga observationer av densitet som gjorts i Abisko. Snöpackmodellens utdata illustrerar snöns temperaturändringar, perkolation av smältvatten och förtätning (densitetsökning) hos snöskikten. Observationsdata visar förändringar i snöns täthet (hårdhet), snökornens fasthet, kornstorlek samt snöns torrhet. Trendstudier pekar mot att snölagrens täthet ökat och att snöns kornstorlek minskat sedan mätningarna startade.

Nutrient dynamics in a lodgepole pine forest at Bootleg Mountain, B.C., were investigated through the sampling of soil, snow and groundwater in six one-ha blocks. Nitrogen (NO3-, NH4+, TIN, TDN, TN), phosphorus (PO43-, TDP, TP), and DOC were analyzed in addition to N mineralization and nitrification. Position and dispersion statistics were computed for each variable and correlations (Pearson and Spearman) were computed for each pair of variables. The overall heterogeneities of soil, snow, and groundwater were generally lower between 1-ha blocks than between plots. Productivity in the soil was generally N-limited with low input from snow precipitation. Very little N leached from soil to groundwater. Phosphorus contents were highly variable and were the limiting nutrient in the groundwater. Rates of net and gross N mineralization and nitrification were determined using buried bags and 15N isotope dilutions. Gross rates were greater than net rates and nitrification was low relative to high immobilization rates. The N cycle appears to be tightly regulated, thus further study will be needed to monitor the impact of harvesting on N cycling.

Nutrient dynamics in a lodgepole pine forest at Bootleg Mountain, B.C., were investigated through the sampling of soil, snow and groundwater in six one-ha blocks. Nitrogen (NO3-, NH4+, TIN, TDN, TN), phosphorus (PO43-, TDP, TP), and DOC were analyzed in addition to N mineralization and nitrification. Position and dispersion statistics were computed for each variable and correlations (Pearson and Spearman) were computed for each pair of variables. The overall heterogeneities of soil, snow, and groundwater were generally lower between 1-ha blocks than between plots. Productivity in the soil was generally N-limited with low input from snow precipitation. Very little N leached from soil to groundwater. Phosphorus contents were highly variable and were the limiting nutrient in the groundwater. Rates of net and gross N mineralization and nitrification were determined using buried bags and 15N isotope dilutions. Gross rates were greater than net rates and nitrification was low relative to high immobilization rates. The N cycle appears to be tightly regulated, thus further study will be needed to monitor the impact of harvesting on N cycling.