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Artykuły w czasopismach na temat „Arctic observing system”

Autor: Grafiati

Data publikacji: 5 czerwca 2025

Data aktualizacji: 2 sierpnia 2025

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1

Showstack, Randy. "Arctic observing system report available." Eos, Transactions American Geophysical Union 90, no. 11 (2009): 92. http://dx.doi.org/10.1029/2009eo110008.

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Starkweather, Sandy, Jan R. Larsen, Eva Kruemmel, et al. "Sustaining Arctic Observing Networks’ (SAON) Roadmap for Arctic Observing and Data Systems (ROADS)." ARCTIC 74, no. 5 (2022): 56–68. http://dx.doi.org/10.14430/arctic74330.

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Arctic observing and data systems have been widely recognized as critical infrastructures to support decision making and understanding across sectors in the Arctic and globally. Yet due to broad and persistent issues related to coordination, deployment infrastructure and technology gaps, the Arctic remains among the most poorly observed regions on the planet from the standpoint of conventional observing systems. Sustaining Arctic Observing Networks (SAON) was initiated in 2011 to address the persistent shortcomings in the coordination of Arctic observations that are maintained by its many nati

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Starkweather, Sandy, Jan R. Larsen, Eva Kruemmel, et al. "Sustaining Arctic Observing Networks' (SAON) Roadmap for Arctic Observing and Data Systems (ROADS)." ARCTIC 74, SUPPL. 1 (2021) (February 1, 2022): 56–68. https://doi.org/10.14430/arctic74330.

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<strong>Abstract</strong> Arctic observing and data systems have been widely recognized as critical infrastructures to support decision making and understanding across sectors in the Arctic and globally. Yet due to broad and persistent issues related to coordination, deployment infrastructure and technology gaps, the Arctic remains among the most poorly observed regions on the planet from the standpoint of conventional observing systems. Sustaining Arctic Observing Networks (SAON) was initiated in 2011 to address the persistent shortcomings in the coordination of Arctic observations that are m

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Bradley, Alice, Hajo Eicken, Olivia Lee, Anna Gebruk, and Roberta Pirazzinie. "Shared Arctic Variable Framework Links Local to Global Observing System Priorities and Requirements." ARCTIC 74, no. 5 (2023): 69–86. http://dx.doi.org/10.14430/arctic76429.

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The geographic settings and interests of diverse groups of rights- and stakeholders figure prominently in the need for internationally coordinated Arctic observing systems. Global and regional observing systems exist to coordinate observations across sectors and national boundaries, leveraging limited resources into widely available observational data and information products. Observing system design and coordination approaches developed for more focused networks at mid- and low latitudes are not necessarily directly applicable in more complex Arctic settings. Requirements for the latter are m

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Lyu, Guokun, Armin Koehl, Nuno Serra, and Detlef Stammer. "Assessing the current and future Arctic Ocean observing system with observing system simulating experiments." Quarterly Journal of the Royal Meteorological Society 147, no. 738 (2021): 2670–90. http://dx.doi.org/10.1002/qj.4044.

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Atakan, Kuvvet, Louise W. Bjerrum, Hilmar Bungum, et al. "The European Plate Observing System and the Arctic." ARCTIC 68, no. 5 (2015): 69. http://dx.doi.org/10.14430/arctic4446.

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Randriamampianina, Roger, Harald Schyberg, and Máté Mile. "Observing System Experiments with an Arctic Mesoscale Numerical Weather Prediction Model." Remote Sensing 11, no. 8 (2019): 981. http://dx.doi.org/10.3390/rs11080981.

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In the Arctic, weather forecasting is one element of risk mitigation, helping operators to have knowledge on weather-related risk in advance through forecasting capabilities at time ranges from a few hours to days ahead. The operational numerical weather prediction is an initial value problem where the forecast quality depends both on the quality of the forecast model itself and on the quality of the specified initial state. The initial states are regularly updated using environmental observations through data assimilation. This paper assesses the impact of observations, which are accessible t

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Christiansen, Hanne H., Ilkka S. O. Matero, Lisa Baddeley, et al. "Developing the Svalbard Integrated Arctic Earth Observing System (SIOS)." Earth System Dynamics 15, no. 4 (2024): 933–46. http://dx.doi.org/10.5194/esd-15-933-2024.

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Abstract. Based on the ongoing large climatic and environmental changes and the history of science coordination in Svalbard leading to the development of Svalbard Integrated Arctic Earth Observing System (SIOS), we present an overview of the current gaps in knowledge and infrastructure based on a synthesis of the recommendations presented in the annual State of Environmental Science in Svalbard (SESS) reporting of SIOS. Recommendations from the first 4 years of SESS reporting represent the point of view of the wide scientific community operating the large observing system implemented in Svalba

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Sagen, Hanne, and Stein Sandven. "The acoustical components of the Arctic Ocean observing system." Journal of the Acoustical Society of America 129, no. 4 (2011): 2401. http://dx.doi.org/10.1121/1.3587818.

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Berman, Matthew D. "Next steps toward an Arctic human dimensions observing system." Polar Geography 34, no. 1-2 (2011): 125–43. http://dx.doi.org/10.1080/1088937x.2011.593302.

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Uttal, Taneil, Sandra Starkweather, James R. Drummond, et al. "International Arctic Systems for Observing the Atmosphere: An International Polar Year Legacy Consortium." Bulletin of the American Meteorological Society 97, no. 6 (2016): 1033–56. http://dx.doi.org/10.1175/bams-d-14-00145.1.

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Abstract International Arctic Systems for Observing the Atmosphere (IASOA) activities and partnerships were initiated as a part of the 2007–09 International Polar Year (IPY) and are expected to continue for many decades as a legacy program. The IASOA focus is on coordinating intensive measurements of the Arctic atmosphere collected in the United States, Canada, Russia, Norway, Finland, and Greenland to create synthesis science that leads to an understanding of why and not just how the Arctic atmosphere is evolving. The IASOA premise is that there are limitations with Arctic modeling and satell

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Baschek, Burkard, Friedhelm Schroeder, Holger Brix, et al. "The Coastal Observing System for Northern and Arctic Seas (COSYNA)." Ocean Science 13, no. 3 (2017): 379–410. http://dx.doi.org/10.5194/os-13-379-2017.

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Abstract. The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern seas and the Arctic coasts in a changing environment. Particular focus is given to the German Bight in the North Sea as a prime example of a heavily used coastal area, and Svalbard as an example of an Arctic coast that is under strong pressure due to global change.The COSYNA automated observing and modelling system is designed to monitor real-time conditions and provide short-term forecasts, data, and data products to hel

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13

Sagen, Hanne, Matthew Dzieciuch, Espen Storheim, et al. "Acoustic networks in high Arctic Ocean observing systems." Journal of the Acoustical Society of America 152, no. 4 (2022): A73. http://dx.doi.org/10.1121/10.0015589.

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Sustained in situ ice-ocean observations are sorely lacking in the Arctic, limiting research on climate, weather, ice-ocean processes, and geophysical hazards. A sustained network of advanced multipurpose underwater moorings and drifting buoys in the Nansen and Amundsen Basins that included acoustic and other instrumentation would make a substantial contribution to a high Arctic Ocean observing system. Such a network would provide point measurements of ocean parameters, large-scale temperature measurements using acoustic thermometry, acoustic geo-positioning of underwater floats and gliders, a

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14

Ganeshan, Manisha, Dong L. Wu, Joseph A. Santanello, et al. "Exploring commercial Global Navigation Satellite System (GNSS) radio occultation (RO) products for planetary boundary layer studies in the Arctic." Atmospheric Measurement Techniques 18, no. 6 (2025): 1389–403. https://doi.org/10.5194/amt-18-1389-2025.

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Abstract. Commercial radio occultation (RO) satellites that utilize the Global Navigation Satellite System (GNSS) signals are emerging as key tools for observing the polar regions, which are not covered by the second-generation Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC-2) mission. This study evaluates the value of commercial RO measurements, specifically Spire and GeoOptics, for planetary boundary layer (PBL) investigations in the Arctic, a region where favorable lower-atmospheric penetration of GNSS RO is vital for observing the persistently shallow PBL.

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Sagen, Hanne, and Stein Sandven. "Acoustics on the roadmap for an Integrated Arctic Observing System." Journal of the Acoustical Society of America 144, no. 3 (2018): 1984. http://dx.doi.org/10.1121/1.5068659.

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Mikhalevsky, Peter N., Hanne Sagen, Peter F. Worcester, et al. "Multipurpose Acoustic Networks in the Integrated Arctic Ocean Observing System." ARCTIC 68, no. 5 (2015): 11. http://dx.doi.org/10.14430/arctic4449.

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Riedel, Christopher, and Jeffrey Anderson. "Exploring non-Gaussian sea ice characteristics via observing system simulation experiments." Cryosphere 18, no. 6 (2024): 2875–96. http://dx.doi.org/10.5194/tc-18-2875-2024.

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Abstract. The Arctic is warming at a faster rate compared to the globe on average, a phenomenon commonly referred to as Arctic amplification. Sea ice has been linked to Arctic amplification and has gathered attention recently due to the decline in summer sea ice extent. Data assimilation (DA) is the act of combining observations with prior forecasts to obtain a more accurate model state. Sea ice poses a unique challenge for DA because sea ice variables have bounded distributions, leading to non-Gaussian distributions. The non-Gaussian nature violates the Gaussian assumptions built into DA algo

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18

Lyu, Guokun, Nuno Serra, Meng Zhou, and Detlef Stammer. "Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system." Ocean Science 18, no. 1 (2022): 51–66. http://dx.doi.org/10.5194/os-18-51-2022.

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Abstract. Two high-resolution model simulations are used to investigate the spatiotemporal variability of the Arctic Ocean sea level. The model simulations reveal barotropic sea level variability at periods of < 30 d, which is strongly captured by bottom pressure observations. The seasonal sea level variability is driven by volume exchanges with the Pacific and Atlantic oceans and the redistribution of the water by the wind. Halosteric effects due to river runoff and evaporation minus precipitation ice melting/formation also contribute in the marginal seas and seasonal sea ice extent region

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19

Trishchenko, Alexander P., and Louis Garand. "Spatial and Temporal Sampling of Polar Regions from Two-Satellite System on Molniya Orbit." Journal of Atmospheric and Oceanic Technology 28, no. 8 (2011): 977–92. http://dx.doi.org/10.1175/jtech-d-10-05013.1.

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Abstract There has been a significant increase of interest in the building of a comprehensive Arctic observing system in recent years to properly and timely track the environmental and climate processes in this vast region. In this regard, a satellite observing system on highly elliptical orbit (HEO) with 12-h period (Molniya type) is of particular interest, because it enables continuous coverage of the entire Arctic region (58°–90°N) from a constellation of two satellites. Canada is currently proposing to operate such a constellation by 2017. Extending the pioneering study of S. Q. Kidder and

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Piotrowicz, Stephen R., and David M. Legler. "The In situ Global Ocean Observing System for Climate (and Other Needs)." Marine Technology Society Journal 49, no. 2 (2015): 112–21. http://dx.doi.org/10.4031/mtsj.49.2.22.

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AbstractThe Global Ocean Observing System (GOOS) is the international observation system that ensures long-term sustained ocean observations. The ocean equivalent of the atmospheric observing system supporting weather forecasting, GOOS, was originally developed to provide data for weather and climate applications. Today, GOOS data are used for all aspects of ocean management as well as weather and climate research and forecasting. National Oceanic and Atmospheric Administration (NOAA), through the Climate Observation Division of the Office of Oceanic and Atmospheric Research/Climate Program Of

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Rabe, Benjamin, CHRISTOPHER COX, Ying-Chih Fang, et al. "The MOSAiC Distributed Network: Observing the coupled Arctic system with multidisciplinary, coordinated platforms." Science of the Anthropocene 12, no. 1 (2024): 00103. https://doi.org/10.1525/elementa.2023.00103.

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Abstract Central Arctic properties and processes are important to the regional and global coupled climate system. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Distributed Network (DN) of autonomous ice-tethered systems aimed to bridge gaps in our understanding of temporal and spatial scales, in particular with respect to the resolution of Earth system models. By characterizing variability around local measurements made at a Central Observatory, the DN covers both the coupled system interactions involving the ocean-ice-atmosphere interfaces as well as thre

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Zhang, Yong-Fei, Cecilia M. Bitz, Jeffrey L. Anderson, et al. "Insights on Sea Ice Data Assimilation from Perfect Model Observing System Simulation Experiments." Journal of Climate 31, no. 15 (2018): 5911–26. http://dx.doi.org/10.1175/jcli-d-17-0904.1.

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Simulating Arctic sea ice conditions up to the present and predicting them several months in advance has high stakeholder value, yet remains challenging. Advanced data assimilation (DA) methods combine real observations with model forecasts to produce sea ice reanalyses and accurate initial conditions for sea ice prediction. This study introduces a sea ice DA framework for a sea ice model with a parameterization of the ice thickness distribution by resolving multiple thickness categories. Specifically, the Los Alamos Sea Ice Model, version 5 (CICE5), is integrated with the Data Assimilation Re

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Zaostrovskikh, E. A. "Eastern Arctic: Opportunities for Integration of Marine Transport into the System of International Transport Corridors." Russia: society, politics, history, no. 4(4) (November 24, 2022): 46–61. http://dx.doi.org/10.56654/ropi-2022-4(4)-46-61.

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Over the past few years, the Northern Sea Route has received increased international attention for a number of reasons. This circumstance makes us take a fresh look at how the maritime transport of the Eastern Arctic can be integrated into the international transport space. In this vein, the patterns of development of the regions of the Eastern Arctic and their seaports are considered. Infrastructural problems and development prospects are identified. The conditions and opportunities for the integration of maritime transport in the Eastern Arctic into the global transport space under the condi

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Latham, Robert, and Lisa Williams. "Power and Inclusion." Journal of Northern Studies 7, no. 1 (2014): 7–30. http://dx.doi.org/10.36368/jns.v7i1.734.

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This article is a critical study of the planning and design process of the Sustaining Arctic Observing Network (SAON). SAON, in its ambition to build a comprehensive, pan-Arctic monitoring system, seeks to integrate all relevant scientific and environmental monitoring sites in the Arctic, guided by an ethic of inclusion regarding the knowledge of indigenous Arctic peoples (KIAP). It is argued that the logics of inclusion in play, paradoxically, risks limiting the capacity for Arctic indigenous peoples to control their knowledge and its uses, to monitor the activities and outputs of SAON itself

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Sorensen, Scott, Vinit Veerendraveer, Wayne Treible, Andrew R. Mahoney, and Chandra Kambhamettu. "The polar sea ice topography reconstruction system." Annals of Glaciology 61, no. 82 (2020): 127–38. http://dx.doi.org/10.1017/aog.2020.21.

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AbstractThe Polar Sea Ice Topography REconstruction System, or PSITRES, is a 3D camera system designed to continuously monitor an area of ice and water adjacent to an ice-going vessel. Camera systems aboard ships in the polar regions are common; however, the application of computer vision techniques to extract high-level information from the imagery is infrequent. Many of the existing systems are built for human involvement throughout the process and lack automation necessary for round the clock use. The PSITRES was designed with computer vision in mind. It can capture images continuously for

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Pelon, J., C. Di Biagio, V. Mariage, et al. "Iaoos Observations of Aerosols and Clouds in the High Arctic by Autonomous Drifting Lidar Platforms." EPJ Web of Conferences 237 (2020): 05007. http://dx.doi.org/10.1051/epjconf/202023705007.

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New drifting platforms have been deployed within the French project IAOOS (Ice-Atmosphere-Ocean Observing System) in the Arctic since 2014. Radiation and meteorological parameters are measured at the surface and profiles of aerosol and cloud properties are obtained with autonomous backscatter lidar systems. These platforms are indeed equipped for ocean-ice-atmosphere studies over the Arctic to better understand processes and interactions controlling sea-ice changes [1]. As stations in the Arctic are sparse, they can also be used as reference measurements for satellite observations. They are de

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Stanev, E. V., J. Schulz-Stellenfleth, J. Staneva, S. Grayek, J. Seemann, and W. Petersen. "Coastal observing and forecasting system for the German Bight – estimates of hydrophysical states." Ocean Science 7, no. 5 (2011): 569–83. http://dx.doi.org/10.5194/os-7-569-2011.

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Abstract. A coastal observing system for Northern and Arctic Seas (COSYNA) aims at construction of a long-term observatory for the German part of the North Sea, elements of which will be deployed as prototype modules in Arctic coastal waters. At present a coastal prediction system deployed in the area of the German Bight integrates near real-time measurements with numerical models in a pre-operational way and provides continuously state estimates and forecasts of coastal ocean state. The measurement suite contributing to the pre-operational set up includes in situ time series from stationary s

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Stanev, E. V., J. Schulz-Stellenfleth, J. Staneva, S. Grayek, J. Seemann, and W. Petersen. "Coastal observing and forecasting system for the German Bight – estimates of hydrophysical states." Ocean Science Discussions 8, no. 2 (2011): 829–72. http://dx.doi.org/10.5194/osd-8-829-2011.

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Abstract. A coastal observing system for Northern and Arctic Seas (COSYNA) aims at construction of a long-term observatory for the German part of the North Sea, elements of which will be deployed as prototype modules in Arctic coastal waters. At present a coastal prediction system deployed in the area of the German Bight integrates near real-time measurements with numerical models in a pre-operational way and provides continuously state estimates and forecasts of coastal ocean state. The measurement suite contributing to the pre-operational set up includes in situ time series from stationary s

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Garand, L., J. Feng, S. Heilliette, Y. Rochon, and A. P. Trishchenko. "Assimilation of Circumpolar Wind Vectors Derived from Highly Elliptical Orbit Imagery: Impact Assessment Based on Observing System Simulation Experiments." Journal of Applied Meteorology and Climatology 52, no. 8 (2013): 1891–908. http://dx.doi.org/10.1175/jamc-d-12-0333.1.

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AbstractThere is a well-recognized spatiotemporal meteorological observation gap at latitudes higher than 55°, especially in the region 55°–70°. A possible solution to address this issue is a constellation of four satellites in a highly elliptical orbit (HEO), that is, two satellites for each polar region. An important satellite product to support weather prediction is atmospheric motion wind vectors (AMVs). This study uses observing system simulation experiments (OSSEs) to evaluate the benefit to forecasts resulting from the assimilation of HEO AMVs covering one or both polar regions. The OSS

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Piermattei, Viviana, Alice Madonia, Simone Bonamano, et al. "Cost-Effective Technologies to Study the Arctic Ocean Environment †." Sensors 18, no. 7 (2018): 2257. http://dx.doi.org/10.3390/s18072257.

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The Arctic region is known to be severely affected by climate change, with evident alterations in both physical and biological processes. Monitoring the Arctic Ocean ecosystem is key to understanding the impact of natural and human-induced change on the environment. Large data sets are required to monitor the Arctic marine ecosystem and validate high-resolution satellite observations (e.g., Sentinel), which are necessary to feed climatic and biogeochemical forecasting models. However, the Global Observing System needs to complete its geographic coverage, particularly for the harsh, extreme env

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Peralta-Ferriz, Cecilia, James H. Morison, Scott E. Stalin, and Christian Meinig. "Measuring Ocean Bottom Pressure at the North Pole." Marine Technology Society Journal 48, no. 5 (2014): 52–68. http://dx.doi.org/10.4031/mtsj.48.5.11.

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AbstractHigh-precision deep Arctic Bottom Pressure Recorders (ABPRs) were developed to measure ocean bottom pressure variations in the perennial ice-covered Arctic Ocean. The ABPRs use the tsunami detection DART acoustic modem technology and have been programmed to store and transmit the data acoustically without the need to recover the instrument. ABPRs have been deployed near the North Pole, where the ice cover is a year-round challenge for access with a ship. Instead, the ABPRs have been built as light-weight mechanical systems that we can install using aircraft landing on the ice. ABPRs ha

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Køltzow, Morten, Barbara Casati, Eric Bazile, Thomas Haiden, and Teresa Valkonen. "An NWP Model Intercomparison of Surface Weather Parameters in the European Arctic during the Year of Polar Prediction Special Observing Period Northern Hemisphere 1." Weather and Forecasting 34, no. 4 (2019): 959–83. http://dx.doi.org/10.1175/waf-d-19-0003.1.

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AbstractIncreased human activity in the Arctic calls for accurate and reliable weather predictions. This study presents an intercomparison of operational and/or high-resolution models in an attempt to establish a baseline for present-day Arctic short-range forecast capabilities for near-surface weather (pressure, wind speed, temperature, precipitation, and total cloud cover) during winter. One global model [the high-resolution version of the ECMWF Integrated Forecasting System (IFS-HRES)], and three high-resolution, limited-area models [Applications of Research to Operations at Mesoscale (AROM

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Manalang, Dana, Kendra Daly, and William Wilcock. "Persistent Mobile Ocean Observing: Marine Vehicle Highways." Marine Technology Society Journal 55, no. 3 (2021): 86–87. http://dx.doi.org/10.4031/mtsj.55.3.29.

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Abstract Persistent mobile ocean observation platforms, supported by arrays of subsea marine vehicle service stations, will enable direct study of oceanographic and geological processes that, due to their transient nature and spatiotemporal variability, are not well understood. These include, but are not limited to, ocean-seafloor interactions and crustal ecosystems, mid-ocean ridge volcanism, coastal circulation and shelf ecosystems, reef health, and arctic sea-ice interaction. Further, certain types of subsea events, such as erupting submarine volcanoes, instabilities in methane hydrate depo

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Zhong, Dengyan, Na Liu, Lei Yang, Lina Lin, and Hongxia Chen. "Self-Attention Convolutional Long Short-Term Memory for Short-Term Arctic Sea Ice Motion Prediction Using Advanced Microwave Scanning Radiometer Earth Observing System 36.5 GHz Data." Remote Sensing 15, no. 23 (2023): 5437. http://dx.doi.org/10.3390/rs15235437.

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Over the past four decades, Arctic sea ice coverage has steadily declined. This loss of sea ice has amplified solar radiation and heat absorption from the ocean, exacerbating both polar ice loss and global warming. It has also accelerated changes in sea ice movement, posing safety risks for ship navigation. In recent years, numerical prediction models have dominated the field of sea ice movement prediction. However, these models often rely on extensive data sources, which can be limited in specific time periods or regions, reducing their applicability. This study introduces a novel approach fo

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Edwing, Richard, Chung-Chu Teng, and Robert Heitsenrether. "Technology Developments in NOAA's Real-Time Coastal Observing Systems." Marine Technology Society Journal 49, no. 2 (2015): 122–37. http://dx.doi.org/10.4031/mtsj.49.2.15.

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AbstractThe critical need for real-time coastal oceanographic and meteorological measurements to support maritime forecasters, emergency managers, pilots, vessel operators, port authorities, coastal planners, and many other decision makers has rapidly grown, along with the variety of scientific research applications that rely on resulting long-term data records. To support the needs for such observations, the National Ocean Service Center for Operational Oceanographic Products and Services (CO-OPS) continues to maintain and develop the National Water Level Observation Network (NWLON) and Physi

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Sweeney, Colm, Abhishek Chatterjee, Sonja Wolter, et al. "Using atmospheric trace gas vertical profiles to evaluate model fluxes: a case study of Arctic-CAP observations and GEOS simulations for the ABoVE domain." Atmospheric Chemistry and Physics 22, no. 9 (2022): 6347–64. http://dx.doi.org/10.5194/acp-22-6347-2022.

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Abstract. Accurate estimates of carbon–climate feedbacks require an independent means for evaluating surface flux models at regional scales. The altitude-integrated enhancement (AIE) derived from the Arctic Carbon Atmospheric Profiles (Arctic-CAP) project demonstrates the utility of this bulk quantity for surface flux model evaluation. This bulk quantity leverages background mole fraction values from the middle free troposphere, is agnostic to uncertainties in boundary layer height, and can be derived from model estimates of mole fractions and vertical gradients. To demonstrate the utility of

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Orbe, Clara, Paul A. Newman, Darryn W. Waugh, et al. "Air-mass Origin in the Arctic. Part II: Response to Increases in Greenhouse Gases." Journal of Climate 28, no. 23 (2015): 9105–20. http://dx.doi.org/10.1175/jcli-d-15-0296.1.

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Abstract Future changes in transport from Northern Hemisphere (NH) midlatitudes into the Arctic are examined using rigorously defined air-mass fractions that partition air in the Arctic according to where it last had contact with the planetary boundary layer (PBL). Boreal winter (December–February) and summer (June–August) air-mass fraction climatologies are calculated for the modeled climate of the Goddard Earth Observing System Chemistry–Climate Model (GEOSCCM) forced with the end-of-twenty-first century greenhouse gases and ozone-depleting substances. The modeled projections indicate that t

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Wu, Dong L., Jae Nyung Lee, Kyu-Myong Kim, and Young-Kwon Lim. "Interannual Variations of TOA Albedo over the Arctic, Antarctic and Tibetan Plateau in 2000–2019." Remote Sensing 12, no. 9 (2020): 1460. http://dx.doi.org/10.3390/rs12091460.

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Recent changes in Earth’s climate system have significantly affected the radiation budget and its year-to-year variations at top of the atmosphere (TOA). Observing high-latitude TOA fluxes is still challenging from space, because spatial inhomogeneity of surface/atmospheric radiative processes and spectral variability can reflect sunlight very differently. In this study we analyze the 20-year TOA flux and albedo data from CERES and MISR over the Arctic, the Antarctic, and Tibetan Plateau (TP), and found overall great consistency in the TOA albedo trend and interannual variations. The observati

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Clow, G. D. "Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973–2013." Earth System Science Data Discussions 7, no. 1 (2014): 1–57. http://dx.doi.org/10.5194/essdd-7-1-2014.

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Abstract. A homogeneous set of temperature measurements obtained from the DOI/GTN-P Deep Borehole Array between 1973 and 2013 is presented. The 23-element array is located on the Arctic Slope of Alaska, a region of cold continuous permafrost. Most of the monitoring wells are situated on the arctic coastal plain between the Brooks Range and the Arctic Ocean, while others are in the foothills to the south. The data represent the true temperatures in the wellbores and surrounding rocks at the time of the measurements; they have not been corrected to remove the thermal disturbance caused by drilli

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Yoon, Jin-Ho, and Tsing-Chang Chen. "Maintenance of the Boreal Forest Rainbelts during Northern Summer." Journal of Climate 19, no. 8 (2006): 1437–49. http://dx.doi.org/10.1175/jcli3692.1.

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Abstract It is not unreasonable to expect that boreal forests that exist along 60°N in the Eurasian and North American continents were created and are maintained by warm seasonal rainfall. As revealed from satellite observations and various precipitation sources, zonally elongated rainbelts appear along these forests. Previous studies show that a relationship may exist between the frontal zone along the Arctic seaboard and regional patterns of high-latitude precipitation. It was observed by this study that baroclinic zones associated with strong Arctic westerlies coincide with minor storm trac

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Orbe, Clara, Paul A. Newman, Darryn W. Waugh, et al. "Airmass Origin in the Arctic. Part I: Seasonality." Journal of Climate 28, no. 12 (2015): 4997–5014. http://dx.doi.org/10.1175/jcli-d-14-00720.1.

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Abstract The first climatology of airmass origin in the Arctic is presented in terms of rigorously defined airmass fractions that partition air according to where it last contacted the planetary boundary layer (PBL). Results from a present-day climate integration of the Goddard Earth Observing System Chemistry–Climate Model (GEOSCCM) reveal that the majority of air in the Arctic below 700 mb last contacted the PBL poleward of 60°N. By comparison, 62% (±0.8%) of the air above 700 mb originates over Northern Hemisphere midlatitudes (i.e., “midlatitude air”). Seasonal variations in the airmass fr

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Liu, Yinghui, Steven A. Ackerman, Brent C. Maddux, Jeffrey R. Key, and Richard A. Frey. "Errors in Cloud Detection over the Arctic Using a Satellite Imager and Implications for Observing Feedback Mechanisms." Journal of Climate 23, no. 7 (2010): 1894–907. http://dx.doi.org/10.1175/2009jcli3386.1.

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Abstract Arctic sea ice extent has decreased dramatically over the last 30 years, and this trend is expected to continue through the twenty-first century. Changes in sea ice extent impact cloud cover, which in turn influences the surface energy budget. Understanding cloud feedback mechanisms requires an accurate determination of cloud cover over the polar regions, which must be obtained from satellite-based measurements. The accuracy of cloud detection using observations from space varies with surface type, complicating any assessment of climate trends as well as the understanding of ice–albed

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Berkson, Jonathan M., Arthur A. Allen, Donald L. Murphy, and Kenneth J. Boda. "Integrated Ocean Observing System (IOOS®) Supports Marine Operations: A Look from the U.S. Coast Guard." Marine Technology Society Journal 44, no. 6 (2010): 156–65. http://dx.doi.org/10.4031/mtsj.44.6.22.

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AbstractThe U.S. Coast Guard (USCG) is primarily a user of ocean observations but is also a provider of observations—especially in high-latitude regions. USCG has a long history of making ocean observations for mission activities and in support of other federal agencies. USCG uses the Integrated Ocean Observing System (IOOS®) to understand maritime conditions while conducting the Coast Guard’s roles of Maritime Safety, Maritime Security, and Maritime Stewardship. IOOS data are critical in planning search and rescue operations, ensuring safe navigation at high latitudes, responding to oil and h

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Clow, G. D. "Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973–2013." Earth System Science Data 6, no. 1 (2014): 201–18. http://dx.doi.org/10.5194/essd-6-201-2014.

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Abstract. A homogeneous set of temperature measurements obtained from the DOI/GTN-P Deep Borehole Array between 1973 and 2013 is presented; DOI/GTN-P is the US Department of the Interior contribution to the Global Terrestrial Network for Permafrost (GTN-P). The 23-element array is located on the Arctic Slope of Alaska, a region of cold continuous permafrost. Most of the monitoring wells are situated on the Arctic coastal plain between the Brooks Range and the Arctic Ocean, while others are in the foothills to the south. The data represent the true temperatures in the wellbores and surrounding

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Zuo, Guangyu, Yinke Dou, Xiaomin Chang, and Yan Chen. "Design and Application of a Standalone Hybrid Wind–Solar System for Automatic Observation Systems Used in the Polar Region." Applied Sciences 8, no. 12 (2018): 2376. http://dx.doi.org/10.3390/app8122376.

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Continuous power supply for unmanned and automatic observation systems without suitable energy-storage capabilities in the polar regions is an urgent problem and challenge. However, few power-supply systems can stably operate over the long term in extreme environments, despite excellent performance under normal environments. In this study, a standalone hybrid wind–solar system is proposed, based on operation analysis of the observing system in the Arctic Ocean, the polar environments, and renewable-energy distribution in the polar regions. Energy-storage technology suitable for cold regions is

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Zhang, Yong-Fei, Cecilia M. Bitz, Jeffrey L. Anderson, et al. "Estimating parameters in a sea ice model using an ensemble Kalman filter." Cryosphere 15, no. 3 (2021): 1277–84. http://dx.doi.org/10.5194/tc-15-1277-2021.

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Abstract. Uncertain or inaccurate parameters in sea ice models influence seasonal predictions and climate change projections in terms of both mean and trend. We explore the feasibility and benefits of applying an ensemble Kalman filter (EnKF) to estimate parameters in the Los Alamos sea ice model (CICE). Parameter estimation (PE) is applied to the highly influential dry snow grain radius and combined with state estimation in a series of perfect model observing system simulation experiments (OSSEs). Allowing the parameter to vary in space improves performance along the sea ice edge but degrades

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Barclay, David R., Bruce S. Martin, Paul C. Hines, et al. "Observed transmissions and ocean-ice-acoustic coupled modelling in the Beaufort Sea." Journal of the Acoustical Society of America 154, no. 1 (2023): 28–47. http://dx.doi.org/10.1121/10.0019942.

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An ocean-ice-acoustic coupled model is configured for the Beaufort Sea. The model uses outputs from a data assimilating global scale ice-ocean-atmosphere forecast to drive a bimodal roughness algorithm for generating a realistic ice canopy. The resulting range-dependent ice cover obeys observed roughness, keel number density, depth, and slope, and floe size statistics. The ice is inserted into a parabolic equation acoustic propagation model as a near-zero impedance fluid layer along with a model defined range-dependent sound speed profile. Year-long observations of transmissions at 35 Hz from

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Inoue, Jun, Judith A. Curry, and James A. Maslanik. "Application of Aerosondes to Melt-Pond Observations over Arctic Sea Ice." Journal of Atmospheric and Oceanic Technology 25, no. 2 (2008): 327–34. http://dx.doi.org/10.1175/2007jtecha955.1.

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Abstract Continuous observation of sea ice using a small robotic aircraft called the Aerosonde was made over the Arctic Ocean from Barrow, Alaska, on 20–21 July 2003. Over a region located 350 km off the coast of Barrow, images obtained from the aircraft were used to characterize the sea ice and to determine the fraction of melt ponds on both multiyear and first-year ice. Analysis of the data indicates that melt-pond fraction increased northward from 20% to 30% as the ice fraction increased. However, the fraction of ponded ice was over 30% in the multiyear ice zone while it was about 25% in th

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Petersen, Wilhelm, Susanne Reinke, Gisbert Breitbach, Michail Petschatnikov, Henning Wehde, and Henrike Thomas. "FerryBox data in the North Sea from 2002 to 2005." Earth System Science Data 10, no. 3 (2018): 1729–34. http://dx.doi.org/10.5194/essd-10-1729-2018.

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Abstract. From 2002 to 2005 a FerryBox system was installed aboard two different ferries travelling between Cuxhaven (Germany) and Harwich (UK) on a daily basis. The FerryBox system is an automated flow-through monitoring system for measuring oceanographic and biogeochemical parameters installed on ships of opportunity. The variables were recorded in a time interval of 10–20 s, corresponding to a spatial resolution of about 100 m. The data set provides the parameters water temperature, salinity, dissolved oxygen and chlorophyll a fluorescence. There is a longer data gap between November 2002 a

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Mariani, Zen, Sara M. Morris, Taneil Uttal, et al. "Special Observing Period (SOP) data for the Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP)." Earth System Science Data 16, no. 7 (2024): 3083–124. http://dx.doi.org/10.5194/essd-16-3083-2024.

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Abstract. The rapid changes occurring in the polar regions require an improved understanding of the processes that are driving these changes. At the same time, increased human activities such as marine navigation, resource exploitation, aviation, commercial fishing, and tourism require reliable and relevant weather information. One of the primary goals of the World Meteorological Organization's Year of Polar Prediction (YOPP) project is to improve the accuracy of numerical weather prediction (NWP) at high latitudes. During YOPP, two Canadian “supersites” were commissioned and equipped with new

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