The full list of projects contains the entire database hosted on this portal, across the available directories. The projects and activities (across all directories/catalogs) are also available by country of origin, by geographical region, or by directory.
The aim of the programme is to obtain a snapshot of the occurrence of potentially hazardous substances in the environment, both in regions most likely to be polluted as well as in some very pristine environments. The focus is on little known , anthropogenic substances and their derivates, which are either used in high volumes or are likely to be persistent and hazardous to humans and other organisms. If substances being screened are found in significant amounts this may result in further investigations or monitoring on national level. The results from the screening can be used when analysing possible environmental effects of the selected substances, and to assess whether they pose a risk to the environment or not. The data are used as input to EU chemical eavluation processes and to the UN Stockholm convention. The screening results are valuable when data on chemicals are needed within the REACH-system in Europe. Locations: Varying, according to properties of the substances. Samples from both hot-spot and remote sites are included. Geographical coverage (countries): Norway, including Bear Island and Spitsbergen and Norwegian seas. The Nordic countries are cooperating on screening information exchange and studies, see net site and brochure: http://nordicscreening.org/ http://nordicscreening.org/index.php?module=Pagesetter&func=viewpub&tid=10&pid=1
The main objective of the RID monitoring programme is to monitor and assess the riverine and direct inputs of selected pollutants to the Norwegian part of OSPAR’s Maritime Area. The entire study area (i.e. main Norwegian land area) is divided into the following four coastal areas/sub-regions: Skagerak, North Sea, Norwegian Sea, and Barents Sea. The monitoring in rivers is carried out in 10 so-called ‘main rivers’ with monthly sampling; and 36 so-called ‘tributary rivers’ with sampling 4 times a year. The catchment areas of these 46 rivers constitute about 50% of the Norwegian area draining to the Convention waters. The inputs from the remaining areas are estimatedby the Teotil model. This includes direct discharges from wastewater treatment plants, industry and fish farming.
To detect changes in concentrations of POPs in freshwater fish due to changes in atmospheric or local anthropogenic input.
To detect changes in concentrations of metals and POPs in lake sediments
To detect changes in concentrations of chemical parameters in surface waters (rivers and lakes) related to changes in anthropogenic deposition input from longrange transboundary air pollution, in particular sulpur and nitrogen. The results are used as a basis to understand the biological responses to changes in acid deposition input.
NASA satellites (Figure 13) support an extensive Global Water Cycle science focus area and contribute to high accuracy, stable, sustained observations and associated modeling for terrestrial hydrology and cryosphere studies. Derived geophysical products for terrestrial hydrology and cryosphere are available from the NSIDC’s Distributed Active Archive Center (DAAC). They include: soil moisture and snow water equivalent from AMSR-E; Greenland ice sheet altimetry and global land surface altimetry from ICESat/GLAS; snow cover extent/area from MODIS; surface albedo and temperature from AVHRR Pathfinder. SAR data obtained from a variety of foreign satellites since 1991 are archived at the ASF DAAC. SAR data provide opportunities for change detection, including interferometric SAR (InSAR) studies of glacier and ice sheet surface elevation and dynamics (ice velocity maps), land surface elevation, and soil moisture. GRACE has been used to determine the mass loss from the Greenland ice sheet and from glaciers in southeast Alaska. The surface elevation of the Greenland ice sheet is mapped using ICESat, and the Advanced Spaceborne Thermal Emission and Reflec¬tion Radiometer (ASTER) is used to acquire imagery and topography of the ice sheet.
The EPA National Aquatic Resource Survey (NARS) assesses the condition of the Nation’s aquatic resources, including those in Alaska. NARS is an integrated and comprehensive program that monitors five different categories of aquatic resources: coasts, streams, rivers, lakes, and wetlands. Each of the five aquatic resource categories sample specific indicators to provide information on the physical, chemical and biological condition of the resource. Examples include: coasts (water chemistry, sediment quality, benthic condition, fish tissue contaminants, habitat condition); streams (benthic condition, nutrients, sedimentation, fish habitat, riparian vegetation); rivers (fish, benthos, periphyton, nutrients, sedi-mentation, recreational indicators); lakes, including ponds and reservoirs (zooplankton, phytoplankton, sediment diatoms, sediment mercury, nutrients, microcystin, enterococcus, fish tissue chemistry); wetlands (to be determined). Sampling was conducted for the National Coastal Assessment in south central Alaska in 2002, in southeast Alaska in 2004, and the Aleutians in 2006-2007. Pilot surveys were conducted for the National Wadeable Streams Survey in the Tanana basin in 2004-2005, and for the National Wadeable Lakes Survey in the Kenai region in 2007-2008.
One station on the Tamayariak River measures tundra water flow. Another station on the Canning River measures flow from mountain discharge. Member of US Geological Survey National Water Information System. Tamayariak River, North Slope Borough, Alaska Hydrologic Unit Code 19060501 Latitude 69°51'55", Longitude 145°35'34" NAD27 Drainage area 149 square miles Gage datum 325 feet above sea level NGVD29 Location: Canning River, North Slope Borough, Alaska Hydrologic Unit Code 19060501 Latitude 69°52'55", Longitude 146°23'09" NAD27 Drainage area 1,930 square miles Gage datum 338 feet above sea level NGVD29
To develop a coastal and ocean observing system in the Alaska region that meets the needs of multiple stakeholders by (1) serving as a regional data center providing data integration and coordination; (2) identifying stakeholder and user priorities for ocean and coastal information; (4) working with federal, state and academic partners to fill those gaps, including by AOOS where appropriate. Main gaps: AOOS and the data center are statewide activities, but thus far, available funding has limited observations and models primarily the Gulf of Alaska.
USGS operates a long-term “benchmark” glacier program to monitor climate, glacier geometry, glacier mass balance, glacier motion and stream runoff.
The mission of the NSIP is to provide the streamflow information and understanding required to meet local, State, regional and national needs. For additional information about USGS water resources programs and data, go to: • Program Description: http://alaska.usgs.gov/science/water/index.php • Contact: Steven Frenzel, firstname.lastname@example.org • Surface water data availability: http://waterdata.usgs.gov/ak/nwis/sw • Water quality data availability: http://waterdata.usgs.gov/ak/nwis/qw • Groundwater data availability: http://waterdata.usgs.gov/ak/nwis/gw Main gaps: Extremely sparse coverage in Alaska in general.
To determine status and trend in the condition of selected natural resources in national park units in Alaska. There are four networks, each encompassing activities in a set of national parks, preserves and other park lands: • Arctic Network (ARCN): Gates of the Arctic, Noatak, Kobuk Valley, Cape Krusenstern, Bering Land Bridge. • Central Alaska Network (CAKN): Yukon-Charley Rivers, Denali, Wrangell-St. Elias. • Southwest Alaska Network (SWAN): Kenai Fjords, Lake Clark, Katmai, Alagnak Wild River, Aniakchak. • Southeast Alaska Network (SEAN): Glacier Bay, Klondike Gold Rush, Sitka. Main gaps: Not all data are currently available but we are working toward that goal. Funding limitations do not allow monitoring at detailed levels.
Protect wildlife and habitat for future generations; fulfill international treaty obligations related to fish and waterfowl; provide opportunity for subsistence use by residents Main gaps: Few data prior to 1981.
1) Annual monitoring of molting Greater White-fronted Geese (Interior refuges) 2) Waterfowl (primarily) breeding pair survey (MBM- done 1997, 2008-09) 3) Breeding Bird Survey (2 routes; annual, though not in 2009) 4) Alaska Landbird Monitoring Survey (2 plots; biennial) 5) Refuge moose population survey (annual) 6) Refuge wolf survey (annual as conditions allow; minimum census) 7) Henshaw Creek fish weir (annual; TCC = operator) 8) Stream gages (operational Oct 2009; will operate at least 6 years) 9) Snow markers (6 on refuge; checked monthly in winter; statewide??)
To inventory and monitor resources of the Yukon Flats Basin to achieve refuge purposes.
The Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) is a multi-platform national scientific user facility, with instruments at fixed and varying locations around the globe for obtaining continuous field measurements of climate data. Each ACRF site uses a leading edge array of cloud- and aerosol-observing instruments to record long-term continuous atmospheric and surface properties that affect cloud formation and radiation transport through the atmosphere. The ARCF also provides shorter-term (months rather than years) measurements with its two mobile facilities (AMFs) and its aerial measurements. Network type: - Atmosphere, with a focus on the impact of clouds and aerosol on the Earth’s radiation budget. - Location: Primary site: Barrow, Alaska, 71° 19' 23.73" N, 156° 36' 56.70" W Secondary site: Atqasuk, Alaska, 70° 28' 19.11" N, 157° 24' 28.99" W - Community-based: No.
As with several other data types, lake level data are recorded by both local authorities as well as at national level. NERI is operating a database, from which data from lakes may be available upon request.
For national purposes, more data concerning precipitation is needed than can be provided from the overall surface climatological and meteorological network described above. In Denmark the precipitation observation network consists of approximately 350 stations. Roughly 100 of these provide data on precipitation intensity on an ongoing basis. They are jointly operated by DMI and The Water Pollution Committee of the Society of Danish Engineers (Spildevandskomitéen - SVK). The remaining 250 stations collect daily values of precipitation, and data from these are electronically transmitted to DMI on a daily basis. On the Faroe Islands a network of 7 precipitation station observe daily precipitation. Information on precipitation can also be obtained from weather radar data. In Denmark, DMI runs a network of four weather radars which provides 100% coverage of Danish land areas and coastal marine areas. The network s geographical coverage is unsurpassed, and hence provides detailed information about precipitation on national and local scales. By calibrating radar data against point measurements of precipitation the latest scientific results show a high absolute accuracy.
Over the years, DMI has established a number of very long climatological series with differing periods of information representing Denmark, Greenland and the Faroe Islands. The long daily time series include: precipitation, temperature, atmospheric pressure and cloud cover for a number of Danish locations as well as precipitation and temperatures for two Greenland Stations 1874-2007 The long monthly time series include: temperatures, precipitation, atmospheric pressure, cloud cover and snow for stations in Denmark, Greenland and on the Faroe Islands The long annual time series include: temperature for a number of stations in Denmark, Greenland and on the Faroe Islands (1873-2007), as well as temperatures, precipitation, hours of sunshine and cloud cover given as national averages for Denmark All the above mentioned datasets are freely available through the annual updates of DMI Technical Reports at www.dmi.dk
To acquire atmospheric data in support of both the prediction and detection of severe weather and of climate trend and variability research. This serves a broad range of users including researchers, policy makers, and service providers. Main gaps: Long-term, atmospheric monitoring in the North poses a significant challenge both operationally (e.g. in-situ automated snowfall measurements) and financially (charterd flights for maintenance and calibration).Most monitoring in the North is limited to populated areas. Attempts to develop an AMDAR capacity out of First Air and Canadian North fleets failed due to economical and technical difficulties. As demonstrated through impact studies, benefits of AMDAR in the North would be tremendous, however would require acquisition and deployment of specialized sensing packages such as TAMDAR (which includes measurements of relative humidity), development of datalink capacity through satellite communications (e.g. Iridium), and upgrading some aircraft systems when possible, especially the aircraft navigation systems. Network type: Atmospheric observing stations over land and sea composed of: - Surface Weather and Climate Network: o In-situ land stations comprising both Hourly stations and Daily Climate observations - Marine Networks: o Buoys (moored and drifting) o Ships: Automatic Volunteer Observing System - Upper Air Network: o In situ (radiosonde) o In situ Commercial Aircraft (AMDAR)