A Method To Determine Lake Depth and Water Availability on the North Slope of Alaska with Spaceborne Imaging Radar and Numerical Ice Growth Modelling

Spaceborne synthetic aperture radar (SAR) images and numerical ice growth modelling were used to determine maximum water depth and water availability in two areas of the North Slope in northwestern Alaska. SAR images obtained between September 1991 and May 1992 were used to identify when and how many lakes froze completely to the bottom, and how many lakes did not freeze completely to the bottom. At Barrow, on the coast, 60% of the lakes froze completely to the bottom in mid-January alone, and by the end of winter 77% of the lakes were completely frozen. In contrast, 100 km to the south in the 'B' Lakes region, only 23% of the lakes froze completely, and there was no sudden freezing of many lakes as occurred at Barrow. A physically based, numerical model was used to simulate ice growth on the lakes. The simulated maximum ice thickness is 2.2 m. Consequently, any lake where some part of the ice cover does not freeze to the bottom has some water more than 2.2 m deep. For those lakes where the ice cover had frozen completely at some time in the winter, the simulated ice growth curve provides the ice thickness at the time each lake had frozen completely to the bottom and thus the lake's maximum water depth. At Barrow, 60% of the lakes are between 1.4 and 1.5 m deep, and 23% are more than 2.2 m deep. At the 'B' Lakes, 77% of the lakes are more than 2.2 m deep. Thus, there is a considerable contrast in lake depth and water availability between the Barrow and the 'B' Lakes regions. This method is simple to implement, and the relatively inexpensive SAR data have good spatial and temporal coverage. This method could be used to determine lake depth and water availability on the entire North Slope and in other polar and subpolar areas where shallow lakes are common. On s'est servi d'images prises au radar à antenne latérale synthétique (RALS) spatioporté et d'une modélisation numérique de la formation de la glace pour déterminer la profondeur d'eau maximale et la disponibilité de cette eau dans deux régions du versant Nord dans le nord-est de l'Alaska. Des images RALS obtenues entre septembre 1991 et mai 1992 ont servi à identifier quand et comment un grand nombre de lacs avaient gelé sur toute leur profondeur et comment cela ne s'était pas produit pour bien d'autres. À Barrow, sur la côte, 60 p. cent des lacs avaient déjà gelé sur toute leur profondeur à la mi-janvier et, à la fin de l'hiver, 77 p. cent des lacs avaient complètement gelé. Par contre, à 100 km plus au sud, dans la région des lacs "B", seulement 23 p. cent des lacs avaient complètement gelé, et on n'observait pas l'engel soudain de nombreux lacs comme c'était le cas à Barrow. On s'est servi d'un modèle numérique fondé sur des critères physiques pour simuler la formation de la glace sur les lacs. L'épaisseur maximale de la glace simulée est de 2,2 m. En conséquence, tout lac où une partie du manteau glaciel n'atteint pas le fond a une profondeur supérieure à 2,2 m. Pour les lacs dont le manteau glaciel atteignait le fond à un moment quelconque de l'hiver, la courbe de formation simulée de la glace donne l'épaisseur de la glace au moment où chaque lac a gelé sur toute sa profondeur, et donc, la profondeur maximale de ce lac. À Barrow, 60 p. cent des lacs ont entre 1,4 et 1,5 m de profondeur et 23 p. cent ont plus de 2,2 m de profondeur. Dans la région des lacs "B", 77 p. cent des lacs ont plus de 2,2 m de profondeur. Il y a donc un fort contraste dans la profondeur des lacs et la disponibilité de l'eau entre la région de Barrow et celle des lacs "B". Cette méthode est facile à appliquer et les données RALS - relativement bon marché - offrent une bonne couverture spatiale et temporelle. On pourrait utiliser cette méthode pour déterminer la profondeur des lacs et la disponibilité de l'eau sur tout le versant Nord et dans d'autres zones polaires et subpolaires où se trouve un grand nombre de lacs peu profonds

Future permafrost conditions along environmental gradients in Zackenberg, Greenland

The future development of ground temperatures in permafrost areas is determined by a number of factors varying on different spatial and temporal scales. For sound projections of impacts of permafrost thaw, scaling procedures are of paramount importance. We present numerical simulations of present and future ground temperatures at 10 m resolution for a 4 km long transect across the lower Zackenberg valley in northeast Greenland. The results are based on stepwise downscaling of future projections derived from general circulation model using observational data, snow redistribution modeling, remote sensing data and a ground thermal model. A comparison to in situ measurements of thaw depths at two CALM sites and near-surface ground temperatures at 17 sites suggests agreement within 0.10 m for the maximum thaw depth and 1 °C for annual average ground temperature. Until 2100, modeled ground temperatures at 10 m depth warm by about 5 °C and the active layer thickness increases by about 30%, in conjunction with a warming of average near-surface summer soil temperatures by 2 °C. While ground temperatures at 10 m depth remain below 0 °C until 2100 in all model grid cells, positive annual average temperatures are modeled at 1 m depth for a few years and grid cells at the end of this century. The ensemble of all 10 m model grid cells highlights the significant spatial variability of the ground thermal regime which is not accessible in traditional coarse-scale modeling approaches

Reconstruction of the Greenland Ice Sheet surface mass balance and the spatiotemporal distribution of freshwater runoff from Greenland to surrounding seas

Knowledge about variations in runoff from Greenland to adjacent fjords and seas is important for the hydrochemistry and ocean research communities to understand the link between terrestrial and marine Arctic environments. Here, we simulate the Greenland Ice Sheet (GrIS) surface mass balance (SMB), including refreezing and retention, and runoff together with catchment-scale runoff from the entire Greenland landmass (n = 3,272 simulated catchments) throughout the 35-year period 1979–2014. SnowModel/HydroFlow was applied at 3-h intervals to resolve the diurnal cycle and at 5-km horizontal grid increments using ERA-Interim (ERA-I) reanalysis atmospheric forcing. Simulated SMB was low compared to earlier studies, whereas the GrIS surface conditions and precipitation were similar. Variations in meteorological and surface ice and snow cover conditions influenced the seasonal variability in simulated catchment runoff; variations in the GrIS internal drainage system were assumed negligible and a time-invariant digital elevation model was applied. Approximately 80 % of all catchments showed increasing runoff trends over the 35 years, with on average relatively high and low catchment-scale runoff from the SW and N parts of Greenland, respectively. Outputs from an Empirical Orthogonal Function (EOF) analysis were combined with cross-correlations indicating a direct link (zero lag time) between modeled catchment-scale runoff and variations in the large-scale atmospheric circulation indices North Atlantic Oscillation (NAO) and Atlantic Multidecadal Oscillation (AMO). This suggests that natural variabilities in AMO and NAO constitute major controls on catchment-scale runoff variations in Greenland

Mapping Potential Timing of Ice Algal Blooms From Satellite

As Arctic sea ice and its overlying snow cover thin, more light penetrates into the ice and upper ocean, shifting the phenology of algal growth within the bottom of sea ice, with cascading impacts on higher trophic levels of the Arctic marine ecosystem. While field data or autonomous observatories provide direct measurements of the coupled sea ice-algal system, they are limited in space and time. Satellite observations of key sea ice variables that control the amount of light penetrating through sea ice offer the possibility to map the under-ice light field across the entire Arctic basin. This study provides the first satellite-based estimates of potential sea ice-associated algal bloom onset dates since the launch of CryoSat-2 and explores how a changing snowpack may have shifted bloom onset timings over the last four decades

Phenotypic variability in patients with ADA2 deficiency due to identical homozygous R169Q mutations

Transplantation and immunomodulatio