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Project Description: - Landform mapping of the periglacial and glacial structures using remote sensing / aerial photography and field observation - Genetic studies of ground ice using geochemical and stable isotope techniques - Studies of microbial life in extreme periglacial environment
Changes in surface reflection at the arctic tundra at Ny-Ålesund, Svalbard (79 N) were monitored during the melting season 2002 using a low cost multispectral digital camera with spectral channels similar to channels 2, 3, and 4 of the Landsat Thematic Mapper satellite sensor. The camera was placed 474 m above sea level at the Zeppelin Mountain Research Station and was programmed to take an image automatically every day at solar noon. To achieve areal consistency in the images (which is necessary for mapping purposes) the images were geometrically rectified into multispectral digital orthophotos. In contrast to satellite images with high spatial resolution the orthophotos provide data with high spatial and high temporal resolution at low cost. The study area covers approximately 2 km2 and when free of snow, it mainly consists of typical high arctic tundra with patchy vegetation and bare soil in between. The spectral information in the images was used to divide the rectified images into maps representing different surface classes (including three subclasses of snow). By combining classified image data and ground measurements of surface reflectance, a model to produce daily maps of surface albedo was developed. The model takes into account that snow-albedo decreases as the snow pack ages; and that the albedo decreases very rapidly when the snow pack is shallow enough (20-30 cm) to let surface reflectance get influenced by the underlying ground. Maps representing days with no image data (due to bad weather conditions) were derived using interpolation between pixels with equal geographical coordinates. The time series of modeled albedo-maps shows that the time it takes for the albedo to get from 80% to bare ground levels varies from less than 10 days in areas near the coast or in the Ny-Ålesund settlement till more than 70 days in areas with large snow accumulations. For the entire study area the mean length of the 2002 melting period was 28.3 days with a standard deviation of 15.1 days. Finally, the duration of the snowmelt season at a location where it is measured routinely, was calculated to 23 days, which is very close to what is the average for the last two decades.
Part of the international project Arctic Costal Dynamics (ACD) were Department of Physical Geography, University of Oslo participates. The working group consists of Trond Eiken (UoO), Bjørn Wangensteen (UoO) and Rune Ødegård (Gjøvik University College). The aim of this part of the ACD-project is to quantify coastal cliff erosion by the use of terrestrial photogrammetry.
1. To provide detailed oceanographic support and navigation trials in the Western Mediterranean
The Submarine Operational And Research Environmental Database (SOARED)is comprised of a fixed relational environmental database using unclassified data collected during the Science Ice Exercises (SCICEX) during the past several years. It also includes publicly accessible gridded historical sound velocity, temperature and salinity data from 1900 from the US National Oceanographic Data Center. This project is a demonstration system to show ways to retrieve and analyze sound velocity, temperature and salinity profiles, bathymetry and ice thickness data using a mouse-driven GIS-based query.
The Collaborative Interdisciplinary Cryospheric Experiment (C-ICE) is a multi-year field experiment that incorporates many individual projects, each with autonomous goals and objectives. The science conducted has directly evolved from research relating to one of four general themes: i. sea ice energy balance; ii. numerical modeling of atmospheric processes; iii. remote sensing of snow covered sea ice; and iv. ecosystem studies.
- To support the further development of a geocryological database for the Usa Basin (East-European Russian Arctic), including key characteristics of permafrost such as distribution, coverage, temperature, active layer, etc. - To create GIS-based permafrost maps at the scale of 1:1,000,000 for the entire Usa Basin and at 1:100,000 for selected key sites. - To reconstruct the history of permafrost dynamics at key sites in the region over the last thousands of years using palaeoecological analysis and radiocarbon dating of peat deposits, and over the last few decades using remote sensing imagery and/or monitoring (base case scenario). - To predict permafrost dynamics at key sites in the region under future conditions of climate change (20-100 yrs), using a 1-dimensional permafrost model (future global change scenario). - To assess the effects of permafrost dynamics under base case and global change scenarios on urban, industrial and transportation infrastructure in the Usa Basin. Research activities Based on several representative sites, late Holocene permafrost dynamics will be characterized using palaeoecological techniques. Variability in permafrost conditions over the last few decades will be studied based on the available data from long-term monitoring station records and from a time series of remote sensing images (optional). Mathematical modelling of permafrost dynamics will be carried out for at least two sites and a forecast of permafrost degradation in the area under anticipated climate warming will be developed. The likely effects of permafrost degradation upon regional infrastructure (inhabited localities, heat and power engineering, coal and ore mines, oil and gas extracting complex, pipelines and railways) will be analyzed using a GIS approach. GIS data layers on permafrost dynamics and infrastructure will be compared in order to delimitate high risk areas based on existing infrastructure and anticipated permafrost degradation. Hereafter, the created GIS may serve as a basis for more detailed forecasting of permafrost dynamics under both natural and anthropogenic climate changes in lowland and alpine areas of the East-European Russian Arctic.
In 1990, the Directorate for Nature Management (DN) established an area for integrated monitoring within Børgefjell National Park, Røyrvik, N Trøndelag. Studies of vegetation-environment relationships in the area was performed by NINA. The area includes both subalpine birch forest and low alpine heath. The new established vegetation investigation included all together 80 different species. This material was processed numerically by using multivariate methods. Indirect gradient analyses were performed using Detrended Correspondence Analysis (DCA) and Local Nonmetric Multidimentional Scaling (LNMDS). Direct gradient analyses were performed by using rescaled hybrid Canonical Correspondence Analysis (CCA). Non-parametric correlation analyses, Kendall’s , were performed between environmental parameters and DCA axis values. The results of the numerical and statistical processing were used partly to provide a description of the vegetational structure in the material and partly to quantify how much each ecological parameters contributed to determination of vegetational structure. This work shows the species distribution along various complex gradients; moisture, nutrient conditions, light etc. The investigation is primarily designed to study vegetation dynamics along these gradients and whether changes in the number of species can be related to changes in physical, biotic and, not least, chemical parameters. Variance analysis was performed to assess to what extent the sample plots tends move in a determined direction from 1990 to 1995. The variation between the years were not significant along the primary complex gradients, but there were a significant displacement of species along the following gradients. The most important species were: Vaccinium vitis-idaea, Melampyrum sylvaticum and Hylocomium splendens), which showed an increase and some cryptogams like Brachythecium reflexum, B. salebrosum and Cladonia ecmocyna which declined.
In 1993, the Directorate for Nature Management (DN) established a new area for the monitoring of terrestrial ecosystems in Dividalen National Park in Troms County. This report presents the reanalysis of vegetation and soil from this terrestrial monitoring area. The area in Dividalen is located in the northern boreal birch forest, in a relatively continental section where the dominant type of vegetation is bilberry-mountain crowberry birch forest (A4c). The structure of the vegetation is analysed by multivariate methods (ordination). In Dividalen all together 131 species were found; 75 vascular plants, 18 mosses, 14 liverworts and 24 lichens. This is a decrease from the number of species recorded in 1993 when 141 species were found in the same mesoplots: 74 vascular plants, 24 mosses, 18 liverworts and 25 lichens. The decrease was not significant for the total number of species or for the total number of vascular plants. However the total number of cryptogames showed a slight significant decrease in number between 1993 and 1998. This may be due to increased cover of several ericoid species. In Dividalen we found no significant changes in vegetation composition for the periode 1993 – 1998 along the first four ordination axes. However, there were changes in mesoplots with high DCA1 values. The changes were in the direction towards lower species richness. Species like Myosotis decumbens, Poa alpina, Solidago virgaurea, Cerastium fontanum and Rumex acetosa ssp. lapponicus showed the largest decrease in these mesoplots. Species that showed the largest increase were Vaccinium vitis-idaea, Mnium spinosum and Polytrichum juniperinum. We have found no relations between these changes and acidification due to deposition of pollutans. Lack of disturbance factors in the area in the last years, which favours an increase in ericoid vegetation, is the probable explanation for the changes.
1) To perform simulation scenarios for the 21st century, including global warming scenarios, of potential radioactive spreading from sources in the Russian Arctic coastal zone and its impact on Barents, Greenland and Norwegian Seas and the Arctic Ocean; 2) To update the environmental and pollution data base of the Arctic Monitoring and Assessment Program (AMAP); 3) To assess, select and define the most probable simulation scenarios for accidental releases of radionuclides; 4) To implement a Generic Model System (GMS) consisting of several nested models designed to simulate radionuclides transport through rivers, in the Kara sea and in the Arctic ocean / North Atlantic; 5) To carry out simulation studies for the selected "release" scenarios of radionuclides, using various atmospheric forcing scenarios; 6) Assess the impact on potential radioactive spreading from sources as input to risk management.
To assess potential levels of radionuclides input into the Kara sea from existing and potential sources of technogenic radioactivity, located on the land in the Ob- and Yenisey rivers watersheds. Specific Objectives * To reveal and estimate a) most hazardous technogenic sources of radioactive contamination in the Ob- and Yenisey watersheds and b) the most possible and dangerous natural and technogenic (antrophogenic) situations (in the regions of these sources) that may result in release of radionuclides into the environment and may lead to significant changes in the radioactive contamination of the Kara sea * To estimate parameters of radionuclides (potential amount, composition, types etc.) under release to the environment from chosen sources as a result of accidents as well as during migration from the sources to the Kara sea through river systems * To set up a dedicated Database and a Geographic Information System (GIS) for modelling transport of radionuclides from the land-based sources to the Kara sea * To develop and create a dedicated model tool for simulation of radionuclides transport from land-based sources through Ob- and Yenisey river systems to the Kara sea
The project aims to describe the environmental status of marine sediments in van Mijenfjorden. This to provide baseline data of contaminants and biodiversity, as well as for monitoring of eventual contamination from industrial activities (coal mining).
Archive of all ARCSS funded research data. ARCSS funding originates at the National Science Foundation (NSF).
The Program for Arctic Regional Climate Assessment (PARCA) was formally initiated in 1995 by combining into one coordinated program various investigations associated with efforts, started in 1991, to assess whether airborne laser altimetry could be applied to measure ice-sheet thickness changes. It has the prime goal of measuring and understanding the mass balance of the Greenland ice sheet, with a view to assessing its present and possible future impact on sea level. It includes: · Airborne laser-altimetry surveys along precise repeat tracks across all major ice drainage basins, in order to measure changes in ice-surface elevation. · Ice thickness measurements along the same flight lines. · Shallow ice cores at many locations to infer snow-accumulation rates and their spatial and interannual variability, recent climate history, and atmospheric chemistry. · Estimating snow-accumulation rates from atmospheric model diagnosis of precipitation rates from winds and moisture amounts given by European Centre for Medium-Range Weather Forecasts (ECMWF) operational analyses. · Surface-based measurements of ice motion at 30-km intervals approximately along the 2000-m contour completely around the ice sheet, in order to calculate total ice discharge for comparison with total snow accumulation, and thus to infer the mass balance of most of the ice sheet. · Local measurements of ice thickness changes in shallow drill holes ("dh/dt" sites in Figure 1). · Investigations of individual glaciers and ice streams responsible for much of the outflow from the ice sheet. · Monitoring of surface characteristics of the ice sheet using satellite radar altimetry, Synthetic Aperture Radar (SAR), passive-microwave, scatterometer and visible and infrared data. · Investigations of surface energy balance and factors affecting snow accumulation and surface ablation. · Continuous monitoring of crustal motion using global positioning system (GPS) receivers at coastal sites.
The objectives of this project are: A) to determine the pathway for the transfer of mercury in snowmelt to sea water during the melt period at Alert; B) to determine the extent of open water and wet ice in the summer Arctic as it affects the surface exchange of Hg using satellite radar imagery; and C) to determine the atmospheric dynamics associated with the photochemistry of mercury episodically during the polar sunrise period.
The aim of this project is to compile information and create a computerized database of historical and present global lindane and endosulfan usage data as well as emission data for gamma-hexachlorocyclohexane (gamma-HCH) and endosulfan with 1 degree x 1 degree lat/long resolution. The objectives of this project are: A) to create global gridded g-HCH and endosulfan emission inventories; B) to study the linkage between global g-HCH and endosulfan use trends and g-HCH and endosulfan concentration trends in the Arctic; and C) to assist in comparing concentrations and ratios of different HCH isomers in the Arctic biotic and abiotic environments.