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Directory entires that have specified Arctic Ocean as one of the geographic regions for the project/activity and are included in the AMAP, ENVINET, SAON and SEARCH directories. Note that the list of regions is not hierarchical, and there is no relation between regions (e.g. a record tagged with Nunavut may not be tagged with Canada). To see the full list of regions, see the regions list. To browse the catalog based on the originating country (leady party), see the list of countries.
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The central objectives of the proposed ATMAS project are: to quantify the photo-chemically triggered NOx and HONO re-emission fluxes from permanently and seasonally snow-covered surfaces in the Arctic near Ny-Ålesund, to quantify the sources of NO3 in these snow-covered surfaces. In detail, the following scientific objectives of ATMAS can be distinguished: 1. to quantify atmospheric gradient fluxes of HNO3, HONO, particulate nitrogen compounds, and nitrogen in precipitation (snow and rain) above snow surfaces; 2. to quantify the emission of NOx and HONO from the snow pack as atmospheric gradient fluxes 3. to formulate an influx-outflow relationship that can be used in dependence on the snow type for (photo-)chemical atmospheric process models. The results of this research may be expanded to a regional (European) or global scale, to suggest how the NOx and HONO re-emission process and its consequences can be included into regional emission, dispersion and deposition models used in Europe.
The submitted proposal aims to perform the monitoring of the pollen rain in the Greenland atmosphere by distinguishing the local pollen production, relatively low, from pollen grains originating from other Arctic areas. A regular monitoring of the atmospheric pollen content must be performed in order to evaluate the amount emitted and characterise the seasonality of the emission. A comparison with air mass trajectories must allow the modelling of long distance transport
The general objective of this research concerns the quantitative and qualitative study of particulate matter retained in natural (sea-ice and sediment) and artificial (sediment traps) traps in order to determine the main origin (autochtonous and allochtonous) and the relative importance of different fractions of particulate matter and to follow their fate in the environment. To quantify the autochtonous origin of particulate matter, primary production, nutrient uptake, biomass distribution, phytoplankton community structure and fluxes in the first levels of the trophic chain will be investigated. Studies will be conducted in the sea-ice environment and in the water column and compared to the particle fluxes measured both in the water, using sediment traps and in the sediment, by radiometric chronology, in order to estimate the different contribution of these habitats to carbon export to the bottom. The zooplankton will be identified and counted and primary production, nutrient uptake and phytoplankton dynamics will be related to hydrological structure and nutrient availability in the environment. The Kongsfjord results particularly suitable for the main objective of this research as it is influenced by important inputs of both atmospheric (eolic and meteroric) and glacial origin and is characterised by a complex hydrological situation which may promote autochtonous productive processes, thus determining important particulate fluxes.
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.
A proposal has been submitted to the National Science Foundation titled: For Support of the Arctic Social Science Data Center at NSIDC, OPP-0119836.
To understand and model the processes by which Arctic deep water is formed on continental shelves by the modification of inflowing Atlantic and Pacific waters.
To develop the next-generation Navy operational ice thickness and movement model.