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.
In 2013 a new ecosystem monitoring programme “DiskoBasis” was initiated at Arctic Station on Disko Island, Greenland. The project is partly funded by the Danish Energy Agency. The primary objective of DiskoBasis is to establish baseline knowledge on the dynamics of fundamental physical parameters within the environment/ecosystem around Arctic Station. This initiative extends and complements the existing monitoring carried out at Arctic Station by including several new activities –especially within the terrestrial and hydrological/fluvial field. DiskoBasis include collection of data in the following sub-topics; • Gas flux, meteorology and energy balance • Snow, ice and permafrost • Soil and soil water chemistry • Vegetation phenology • Hydrology -River water discharge and chemistry • Limnology -Lake water chemistry • Marine -Sea water chemistry
The objective of the station is to facilitate ecosystem research in the High Arctic. According to the framework programme of Zackenberg Ecological Research Operations (ZERO) this includes: - Basic quantitative documentation of ecosystem structure and processes; - Baseline studies of intrinsic short-term and long-term variations in ecosystem functions; - Retrospective analyses of organic and inorganic material to detect past ecosystem changes; - Experimental studies enabling predictions of ecosystem responses to Global Change. The programme is coordinated with Nuuk Ecological Research Operations (see below) within the Framework of Greenland Ecosystem Monitoring (GEM). Main gaps: Winter dynamics
The objective is to allow comparative studies of ecosystem dynamics in relation to climate variability and change in respectively a high arctic and low arctic setting as Nuuk Basic comprises the same components as Zackenberg. According to the framework programme of Zackenberg Ecological Research Operations (ZERO) this includes: - Basic quantitative documentation of ecosystem structure and processes; - Baseline studies of intrinsic short-term and long-term variations in ecosystem functions; - Retrospective analyses of organic and inorganic material to detect past ecosystem changes; - Experimental studies enabling predictions of ecosystem responses to Global Change. The programme is coordinated with Zackenberg Ecological Research Operations (see above) within the Framework of Greenland Ecosystem Monitoring (GEM). Main gaps: Winter dynamics
The main purpose of IMO is to contribute towards increased security and efficiency in society by: • Monitoring, analyzing, interpreting, informing, giving advice and counsel, providing warnings and forecasts and where possible, predicting natural processes and natural hazards; • issuing public and aviation alerts about impending natural hazards, such as volcanic ash, extreme weather, avalanching, landslides and flooding; • conducting research on the physics of air, land and sea, specifically in the fields of hydrology, glaciology, climatology, seismology and volcanology; • maintaining high quality service and efficiency in providing information in the interest of economy, of security affairs, of sustainable usage of natural resources and with regard to other needs of the public; • ensuring the accumulation and preservation of data and knowledge regarding the long-term development of natural processes such as climate, glacier changes, crustal movements and other environmental matters that fall under IMO‘s responsibility. IMO has a long-term advisory role with the Icelandic Civil Defense and issues public alerts about impending natural hazards. The institute participates in international weather and aviation alert systems, such as London Volcanic Ash Advisory Centre (VAAC), the Icelandic Aviation Oceanic Area Control Center (OAC Reykjavík) and the European alarm system for extreme weather, Meteoalarm. Network type: Thematic observations in 6 different fields
Monitoring of ice conditions: providing of collection, analysis, archiving and presentation of information obtained from different information sources The continuous monitoring system is based on information from two main groups. The first one is immediate direct observation of the state of ice cover. The information sources are Roshydromet’s permanent polar stations, automatic weather stations and buoys, satellite images in different wave ranges through international hydrometeorological information exchange channels under the auspices of WMO (ETSI) and Ice Services of different countries. Occasional observations by marine expeditions and “North Pole” drifting stations also belong of this group of observation. These are so-called initial or raw data to be further processed, accumulated and archived. As a rule, this information is interesting only to specialists and is not presented without special processing. The second one is processed and summarized information, i.e. diagnostic, analytical and prognostic information. Diagnostic information is a result of processing of initial or raw information. These are adapted and geographically bound satellite images, ice maps, diagnosis of the current state in the form of descriptions and different bulletins. Analytical information is a consolidation of heterogeneous initial and diagnostic information on the ice cover state in the form of overviews and bulletins for different periods of time and different components of ice conditions. Prognostic information is a forecast of different lead times for different phenomena and characteristics of ice conditions. Actually ESIMO AARI web-portal presents a series of group 2 information products having the best informativity and ready for the direct use by customers.
1. Priority Research Theme (1) Clarification of the mechanism of the Arctic amplification. (2) The role of Arctic in the global climate change and future projection. (3) Evaluation on the influence of the Arctic Environmental Change to the weather in the Japan area and fishery. (4) Future projection of the sea ice distribution in relation to the evaluation Arctic route. 2. Basic infrastructure (1) Arctic research cruises by Japanese and foreign ships/ice breaker. (2) Cloud radar system. (3) Data archive system. 3. Establishment of “Japan Consortium for Arctic Environment Research” 4. Budget size: 650, 000, 000 Japanese Yen per year. (appox. 8 million USD per year) Network type: research programme
Ice-drifting buoy observation in sea ice area of the Arctic Ocean Main gaps: not well documented…
monitoring of thermal and humidity parameters of arctic atmospheric boundary layer in horizontal and vertical profile covering glaciated area, non-glaciated area and mountain peak
1. Snow cover (Spitsbergen) - Study of multi-year changes in snowiness near Nordenskiöld Land - Study of impact of spring-summer snow melting on superimposed (infiltration) ice formation on glacier surface - Study of mechanical and thermophysical properties of snow cover in different Spitsbergen landscapes - Study of impact of snowiness and summer melting conditions on the STL conditions under modern climate change (by the example of multi-year measurements near Barentsburg) - Study of structure and dynamics of large and multi-year snowfields as indicators of current climate change in this region. Contact person: Nikolay Osokin (email@example.com), Ivan Lavrentiev
NASA satellites (Figure 13) and numerous instruments provide high accuracy, stable, circum-Arctic measurements for ocean and sea ice observing, including surface vector winds over the ice-free ocean, sea surface temperature, marine phytoplankton and sea ice temperature. The NASA satellites and ocean and sea ice data sets include: 1. Passive microwave time series of sea ice extent begin in 1978 and are archived at NSIDC. 2. The major Synthetic Aperture Radar (SAR) time series is from the Canadian RADARSAT satellite launched in 1995. RADARSAT data of the Arctic Ocean are processed by the RGPS (RADARSAT Geophysical Processing System, yielding high-resolution charts of ice motion, age/thickness and deformation. All RGPS data are archived at the NASA-supported Alaska Satellite Facility (ASF), University of Alaska Fairbanks. 3. GRACE is a joint NASA/German mission that measures the changes in gravity associated with the changing mass of the ocean, land, and ice sheets. In experimental measurements, GRACE has measured the changes of mass associated with the shift of ocean currents in the Arctic Ocean. 4. The ICESat satellite is in a high latitude orbit (86°N) and can determine the free surface height of the Arctic Ocean up to that latitude. These laser measurements can be used to determine the geostrophic flow. ICESat also measures the height of the snow/air interface of the sea ice, which can be used to estimate sea ice thickness when combined with other data, e.g., snowfall and ice motion, or radar altimeter measurements of the sea ice freeboard. 5. Sea surface temperature (SST) and ice surface temperature (IST) are measured by NASA with the MODIS instrument aboard the Aqua and Terra satellites. The AMSR-E instrument on Aqua measures all-weather sea surface temperature. The follow-on instrument to MODIS is the Visible Infrared Imaging Radiometer Suite (VIIRS), scheduled for launch in 2010 on NPP (NPOESS Preparatory Project). The NPP follow-on satellite is the NPOESS (National Polar-orbiting Environmental Satellite System) series beginning in 2013. 6. Satellite-derived ocean color is used in combina-tion with environmental data to provide primary productivity. NASA currently provides ocean color from observations taken by the MODIS instrument on Aqua. Under present plans, the MODIS replacement is VIIRS on the NPP and NPOESS satellites. Because VIIRS on NPP is not expected to yield the same high quality of ocean color measurements as MODIS, there may be a gap in the high accuracy of these measurements.
The USCG contributes to ocean and sea ice observa¬tions through a number of activities. First, USCG supports Arctic research through its icebreaking operations. Assets include three polar class icebreak¬ers, of which HEALY operates in the Arctic, POLAR SEA has recently completed drydock work, and POLAR STAR is in caretaker status pending an Administration decision on how the US can best meet polar icebreaking requirements. USCG carries out the annual International Ice Patrol (IIP). The activities of the IIP are governed by treaty and US law to encompass only those ice regions of the North Atlantic Ocean through which the major trans-Atlantic shipping lanes pass. There remain other areas of ice danger where shipping must exercise extreme caution. Information concerning ice conditions is collected primarily by air surveillance flights and from ships operating in the ice area. All iceberg data, together with ocean current and wind data, are entered into a computer model that predicts iceberg drift. Every 12 hours, the predicted iceberg locations are used to estimate the limit of all known ice. This limit, along with a few of the more critical predicted iceberg locations, is broadcast as an “Ice Bulletin” from radio stations around the US, Canada, Europe and over the Worldwide Web for the benefit of all vessels crossing the north Atlantic. In addition to the Ice Bulletin, a radio facsimile chart of the area, depicting the limits of all known ice, is broadcast twice daily. USCG has begun the Arctic Domain Awareness (ADA) program to prepare for increased maritime activity as climate changes provide greater access to the Arctic. Understanding the Arctic Maritime Do¬main is part of a DOD and DHS effort to improve Maritime Domain Awareness (MDA) by developing an effective understanding of the global maritime domain and supporting effective decision-making as outlined in the National Strategy for Maritime Security. MDA includes both environmental condi¬tions and human activities that could affect maritime safety, security, the economy or environment. As MDA is expanded to the Arctic, there are likely overlaps in resource needs and sensors that could apply to both MDA/ADA and AON, and coordina¬tion of their activities will be mutually beneficial. The IIP works closely with the National Ice Center (NIC), a multi-agency operational center operated by the US Navy, NASA, NOAA and the USCG. The NIC mission is to provide the highest quality strategic and tactical ice services tailored to meet the operational requirements of Federal agencies. The NIC also coordinates and represents the many funding agencies and partners of the US Interagency Arctic Buoy Program (IABP). NIC also funds the coordinator of the program, and NSF supports IABP data management and coordination at the University of Washington. US buoy contributions to the IABP are funded by NOAA and the Office of Naval Research (ONR). NSF supports the fabrication and deployment of drifting ice mass balance buoys by the Cold Regions Research and Engineering Laboratory (CRREL), US Army Corps of Engineers.
Both NOAA and NASA operate satellites with cover¬age of the Arctic region. The major observations and products are: 1. Daily, near real-time plots of surface, cloud, and radiative properties from AVHRR; 2. Near real-time MODIS and AVHRR polar winds; 3. Daily, near real-time plots of clear sky, low-level temperature inversions from MODIS; 4. Daily profile plots of Arctic temperature, humid-ity and winds; 5. Near-daily plots of surface winds over open water; and 6. Surface temperatures for land, sea and sea ice.
Upper-air temperature Homogenized upper-air temperature analyses: extended MSU-equivalent temperature record, new record for upper-troposphere and lower-stratosphere temperature using data from radio occultation, temperature analyses obtained from reanalyses. Water vapour Total column water vapour over the ocean and over land, tropospheric and lower stratospheric profiles of water vapour. Ozone Profiles and total column of ozone.
DMI is responsible for the systematic surveillance of sea ice conditions in the Greenland waters. Observations concerning ice conditions have been collected for approximately 125 years and an extensive volume of data is available in a graphic format as monthly summaries, ice maps etc. Since 1959 special emphasis has been on the waters south of Cape Farewell (the southern tip of Greenland) in order to improve navigation safety in what is an important navigation area. Ice maps containing detailed information on the relevant ice conditions are prepared several times a week. The most recent maps are available in vector graphic format. Since 2000 weekly summaries of the ice conditions for all Greenland waters have been prepared. These summaries, which are based on satellite data, are generated semi-automatically and are primarily intended for climatological analyses as the energy radiation from the sea is highly dependent on whether it is covered with ice or not.
The Swedish Meteorological and Hydrological Institute (SMHI) maps ice extent and type for shipping and weather prognoses (Table 6, #4.1). The ice extent at sea is of great importance for navigation, and assistance from an icebreaker is often needed, especially for harbors in the Bothnian Bay. Hence, ice conditions are mapped daily during the winter period, normally from the end of November until the end of May. Ice meteorologists take advantage of detailed reports about ice type and ice thickness from observers along the coast, e.g. pilots, special ice observers, and from the icebreakers passing through the ice-covered sea. Observations from helicopters are part of the regular icebreaking activities. Satellite images, especially from US weather satellites (NOAA-15, NOAA16 and NOAA-17), complement the ice reports and provide information on the large-scale ice situation on the scale 1 km x 1 km during clear sky conditions. More detailed ice information, down to the scale 20 m x 20 m, can be retrieved from a satellite-based instrument called Synthetic Aperture Radar (SAR). SAR sensors are also found onboard the Canadian RADARSAT (in operation since 1996) and on the European ENVISAT (since 2003) and provide information on the ice situation regardless of weather conditions and time of day. A good description of the ice situation is also needed as input data for weather prognosis models because the extent of sea ice has a major influence on weather (especially in coastal areas), and on temperature, cloudiness, and precipitation. Results from daily ice mapping are saved in a database from which e.g. climate statistics for the Baltic region may be generated.
Det danske bidrag til Arctic Monitoring and Assessment Programme (AMAP) under Arktisk Råd har dokumenteret at østgrønlandske isbjørne er mest forurenede mht. fedtopløselige organiske miljøgifte. Siden 1999 har Danmarks Miljøundersøgelsers Afdeling for Arktisk Miljø (DMU-AM) undersøgt isbjørnesundheden i Østgrønland via et unikt samarbejde med lokale bjørnefangere, og et tværfagligt samarbejde med biologisk, veterinær og human medicinske fagområder i Grønland og Danmark samt internationale samarbejdsrelationer med Canada, Norge og Tyskland. Undersøgelserne er mundet ud i en lang række af række internationale videnskabelige publikationer som dokumenterer tidstrend i miljøbelastningen af de grønlandske og norske isbjørne og sammenhængen mellem forurening og helbredseffekter på isbjørne. Disse har fået omtalt presseomtale verden over.
The ZERO database contains all validated data from the Zackenberg Ecological Research Operations Basic Programmes (ClimateBasis, GeoBasis, BioBasis and MarinBasis). The purpose of the project is to run and update the database with new validated data after each succesfull field season. Data will be available for the public through the Zackenberg homepage linking to the NERI database. The yearly update is dependent on that each Basis programme delivers validated data in the proscribed format.
Sea ice is a dominant feature of marine ecosystems in the Arctic. Its presence directly or indirectly impacts Arctic marine ecosystems, especially on the shelves where benthic and pelagic systems are extensively coupled. If the extent and thickness of sea ice continue to decline, we predict a shift in the type of algal material reaching the benthos (from ice algae to phytoplankton), which will potentially impact the food requirements of the benthos. We have several pieces of evidence showing that both types of ice algae (below-ice ice algae dominated by Melosira arctica and within-ice ice algae dominated by Nitzchia frigida) presently reach the benthos in significant quantities. What we don’t know, and what we propose to address is: “What is the digestibility of ice algae and phytoplankton-derived organic matter by the Arctic macrobenthos?” From the perspective of a macrofaunal organism, digestibility includes three separate components: 1) selection (is encountered organic material ingested or rejected?); 2) absorption (is ingested organic material absorbed during passage through the gut, or does it get egested in the feces?); and 3) assimilation (is absorbed organic material assimilated into biomass?). We propose a series of hypotheses to guide our assessment of digestibility: H1: There is no difference in the quality of ice algae and phytoplankton as food for benthic organisms. H1i: There is no difference in the long-term assimilation of ice algae and phytoplankton by benthic organisms of different trophic groups (suspension feeders, deposit feeders, omnivores). H1ii: There is no difference in the short-term absorption efficiency among different trophic groups feeding on phytoplankton and ice algae. H2: The response of benthic organisms to ice algae and phytoplankton as food sources is the same when assessed on a Pan-Arctic scale. Assessment of long-term assimilation of the various types of algae (within-ice ice algae; below-ice ice algae; and phytoplankton) will be conducted by determining lipid biomarkers and their isotopic ratios, and by determining CHN and protein signatures of organisms collected during all aspects of the work (summer ’02; spring ’03; fall ’03; and summer ’04 in both Norway and Kotzebue, Alaska). Assessment of short-term absorption will first use the ash-ratio method in a whole core delivery experiment. Following the whole-core experiments, dominant taxa from each trophic group will be identified and used in a comparison of 1) absorption efficiencies as calculated by the ash-ratio method, and 2) carbon retention efficiencies as calculated using a pulse-chase radiotracer approach. Finally, we will repeat the dominant taxa absorption efficiency experiments in both Svalbard, Norway at the Ny Ålesund lab and in Kotzebue Sound, Alaska.
The aim of this project is to study the physical oceanography of the sea in the area where Kongsbreen glacier get in touch with the sea in the inner part of Kongsfjord. In particular the project aims: to characterise temperature and salinity of water masses in the inner part of Kongsfjord close to Kongsbreen Glacier to characterise major fresh water outflow from Kongsbreen glaciers to the sea in the inner part of the fiord to collect time series if seawater currents in-out from the inner part, temperature and salinity patterns for one year from summer 2001 to summer 2002. to collect a one year time series of sea level changes by an automatic self recording depth gauges deployed close to the base.
The aims of the project are: - to evaluate the fluxes of radionuclides in the water column and their accumulation in the sediment, on a short-time scale; - to determine the C/N and delta13C-delta15N ratios in suspended and sedimentary matter, and test their use as tracers of origin, composition and transformation pathways of organic particles. The selected study area is the Kongsfjord-Krossfjord system, Svalbard, considered as representative test-site for studying processes occurring in Arctic fjords. The focus of the project will be on the processes occurring at the glacier-sea interface, where enhanced lithogenic and biogenic particle fluxes are reported in summer. Specific methods will be used to trace the particle sources. The rate of accumulation-resuspension processes will also be investigated from the inner fjord to the outer continental shelf.