On the Importance of Representing Snow Over Sea‐Ice for Simulating the Arctic Boundary Layer DOI Creative Commons
Gabriele Arduini, Sarah Keeley, Jonathan J. Day

и другие.

Journal of Advances in Modeling Earth Systems, Год журнала: 2022, Номер 14(7)

Опубликована: Июнь 9, 2022

Abstract Correctly representing the snow on sea‐ice has great potential to improve cryosphere‐atmosphere coupling in forecasting and monitoring (e.g., reanalysis) applications, via improved modeling of surface temperature, albedo emissivity. This can also enhance all‐weather all‐surface coupled data assimilation for atmospheric satellite radiances. Using wintertime observations from two Arctic field campaigns, SHEBA N‐ICE2015, data, we explore merits different approaches represent over a set 5‐day forecasts. Results show that insulation effects is essential capturing temperature variability its response changes forcing. Modeling improves representation strong cooling events, reduces biases clear‐sky conditions simulation surface‐based inversions. In conditions, when using multi‐layer scheme root‐mean‐squared error reduced by about 60% both N‐ICE2015 SHEBA. study highlights role compensating errors components energy budget boundary layer. During warm air intrusions, increase cloud phase radiative processes are misrepresented model, inducing large net at surface. work indicates numerical weather prediction systems fully benefit better sea‐ice, example, with schemes, combined improvements other layer including mixed clouds.

Язык: Английский

Sea Ice Melt Pond Fraction Derived From Sentinel‐2 Data: Along the MOSAiC Drift and Arctic‐Wide DOI Creative Commons
Hannah Niehaus, Gunnar Spreen, Gerit Birnbaum

и другие.

Geophysical Research Letters, Год журнала: 2023, Номер 50(5)

Опубликована: Март 4, 2023

Abstract Melt ponds forming on Arctic sea ice in summer significantly reduce the surface albedo and impact heat mass balance of ice. Therefore, their areal coverage, which can undergo rapid change, is crucial to monitor. We present a revised method extract melt pond fraction (MPF) from Sentinel‐2 satellite imagery, evaluated by MPF products higher‐resolution helicopter‐borne imagery. The analysis evolution during MOSAiC campaign 2020, shows split Central Observatory (CO) into level highly deformed part, latter exhibits exceptional early formation compared vicinity. Average CO MPFs are 17% before 23% after major drainage. Arctic‐wide for years 2017–2021 consistent seasonal cycle all regions years.

Язык: Английский

Процитировано

36

Surface impacts and associated mechanisms of a moisture intrusion into the Arctic observed in mid-April 2020 during MOSAiC DOI Creative Commons
Benjamin Kirbus, Sofie Tiedeck,

Andrea Camplani

и другие.

Frontiers in Earth Science, Год журнала: 2023, Номер 11

Опубликована: Апрель 11, 2023

Distinct events of warm and moist air intrusions (WAIs) from mid-latitudes have pronounced impacts on the Arctic climate system. We present a detailed analysis record-breaking WAI observed during MOSAiC expedition in mid-April 2020. By combining Eulerian with Lagrangian frameworks using simulations across different scales, we investigate aspects mass transformations via cloud processes quantify related surface impacts. The is characterized by two distinct pathways, Siberian Atlantic. A static energy transport Circle above climatological 90th percentile found. Observations at research vessel Polarstern show transition radiatively clear to cloudy state significant precipitation positive balance (SEB), i.e., warming. parcels reach first near tropopause, only 1–2 days later lower altitudes. In 5 prior event, latent heat release formation triggers maximum diabatic heating rates excess 20 K d -1 . For some poleward drifting parcels, this facilitates strong ascent up 9 km. Based model experiments, explore role key cloud-determining factors. First, test moisture availability reducing lateral inflow 30%. This does not significantly affect liquid water path, therefore SEB, central Arctic. cause are counteracting mechanisms along trajectory. Second, impact increasing Cloud Condensation Nuclei concentrations 10 1,000 cm -3 (pristine highly polluted), which enhances content. Resulting stronger longwave cooling top makes entrainment more efficient deepens atmospheric boundary layer. Finally, strongly effect SEB. mainly driven turbulent fluxes over ocean, but radiation sea ice. also contributes large fraction Arctic, reaching 30% total 9-day period site. However, measured varies substantially between platforms. Therefore, estimates subject considerable observational uncertainty.

Язык: Английский

Процитировано

36

Thin and transient meltwater layers and false bottoms in the Arctic sea ice pack—Recent insights on these historically overlooked features DOI Creative Commons
Madison Smith, Hélène Angot, Emelia J. Chamberlain

и другие.

Elementa Science of the Anthropocene, Год журнала: 2023, Номер 11(1)

Опубликована: Янв. 1, 2023

The rapid melt of snow and sea ice during the Arctic summer provides a significant source low-salinity meltwater to surface ocean on local scale. accumulation this on, under, around floes can result in relatively thin layers upper ocean. Due small-scale nature these upper-ocean features, typically order 1 m thick or less, they are rarely detected by standard methods, but nevertheless pervasive critically important summer. Observations Multidisciplinary drifting Observatory for Study Climate (MOSAiC) expedition 2020 focused evolution such made advancements understanding their role coupled system. Here we provide review Arctic, with emphasis new findings from MOSAiC. Both prior recent observational datasets indicate an intermittent yet long-lasting (weeks months) layer 0.1 1.0 thickness, large spatial range. presence impacts physical system reducing bottom allowing formation via false growth. Collectively, bottoms reduce atmosphere-ocean exchanges momentum, energy, material. far-reaching, including acting as barrier nutrient gas exchange impacting ecosystem diversity productivity.

Язык: Английский

Процитировано

34

Sea ice classification of TerraSAR-X ScanSAR images for the MOSAiC expedition incorporating per-class incidence angle dependency of image texture DOI Creative Commons
Wenkai Guo, Polona Itkin, Suman Singha

и другие.

˜The œcryosphere, Год журнала: 2023, Номер 17(3), С. 1279 - 1297

Опубликована: Март 16, 2023

Abstract. We provide sea ice classification maps of a sub-weekly time series single (horizontal–horizontal, HH) polarization X-band TerraSAR-X scanning synthetic aperture radar (TSX SC) images from November 2019 to March 2020, covering the Multidisciplinary drifting Observatory for Study Arctic Climate (MOSAiC) expedition. This classified benefits wide spatial coverage and relatively high resolution TSX SC data is useful basic dataset future MOSAiC studies on physical processes ocean climate modeling. Sea into leads, young with different backscatter intensities, first-year (FYI) or multiyear (MYI) degrees deformation. establish per-class incidence angle (IA) dependencies intensities gray-level co-occurrence matrix (GLCM) textures use classifier that corrects class-specific decreasing increasing IAs, both HH as input features. Optimal parameters texture calculation are derived achieve good class separation while maintaining maximum detail minimizing textural collinearity. Class probabilities yielded by adjusted Markov random field contextual smoothing produce results. The texture-based process yields an average overall accuracy 83.70 % correspondence geometric surface roughness in situ thickness measurements (correspondence consistently close higher than 80 %). A positive logarithmic relationship found between intensity, similar previous C- L-band studies. Areal fractions classes representing openings (leads ice) show prominent increases middle late corresponding well ice-opening this study those satellite (SAR) optical other

Язык: Английский

Процитировано

30

A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: insights from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition DOI Creative Commons

Matthew Boyer,

Diego Aliaga, Jakob Boyd Pernov

и другие.

Atmospheric chemistry and physics, Год журнала: 2023, Номер 23(1), С. 389 - 415

Опубликована: Янв. 11, 2023

Abstract. The Arctic environment is rapidly changing due to accelerated warming in the region. trend driving a decline sea ice extent, which thereby enhances feedback loops surface energy budget Arctic. aerosols play an important role radiative balance and hence climate response region, yet direct observations of over Ocean are limited. In this study, we investigate annual cycle aerosol particle number size distribution (PNSD), concentration (PNC), black carbon (BC) mass central during Multidisciplinary drifting Observatory for Study Climate (MOSAiC) expedition. This first continuous, year-long data set PNSD ever collected Ocean. We use k-means cluster analysis, FLEXPART simulations, inverse modeling evaluate seasonal patterns influence different source regions on population. Furthermore, compare land-based sites across Arctic, using both long-term measurements year MOSAiC expedition (2019–2020), interannual variability give context characteristics from within Our analysis identifies that, overall, exhibits typical aerosols, including anthropogenic haze winter secondary processes summer. pattern corresponds global radiation, air temperature, timing melting/freezing, drive changes transport processes. winter, Norilsk region Russia/Siberia was dominant signals BC observations, contributed higher accumulation-mode PNC concentrations than at observatories. also show that wintertime Oscillation (AO) phenomenon, reported achieve record-breaking positive phase January–March 2020, explains unusual magnitude compared longer-term observations. summer, PNCs nucleation Aitken modes enhanced; however, were notably lower pack further south. presented herein provides current snapshot characterized by rapid changes, will be crucial improving model predictions, understanding linkages between environmental processes, investigating impacts change future studies.

Язык: Английский

Процитировано

28

Temporal evolution of under-ice meltwater layers and false bottoms and their impact on summer Arctic sea ice mass balance DOI Creative Commons
Evgenii Salganik, Christian Katlein, Benjamin Lange

и другие.

Elementa Science of the Anthropocene, Год журнала: 2023, Номер 11(1)

Опубликована: Янв. 1, 2023

Low-salinity meltwater from Arctic sea ice and its snow cover accumulates creates under-ice layers below ice. These can result in the formation of new layers, or false bottoms, at interface this low-salinity colder seawater. As part Multidisciplinary drifting Observatory for Study Climate (MOSAiC), we used a combination coring, temperature profiles thermistor strings underwater multibeam sonar surveys with remotely operated vehicle (ROV) to study areal coverage temporal evolution bottoms during summer melt season mid-June until late July. ROV indicated that MOSAiC Central (350 by 200 m2) was 21%. Presence reduced bottom 7–8% due local decrease ocean heat flux, which be described thermodynamic model. Under-ice layer thickness larger first-year thinner thicker second-year We also found thick ridge keels confined areas accumulated, preventing mixing underlying While model could reproduce growth melt, it not describe observed rates above bottoms. show meltwater-layer salinity is linked brine flushing accumulating bottom. The results aid estimating contribution mass balance salt budget

Язык: Английский

Процитировано

26

Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey DOI
Yuhao Nie, Xiatong Li, Quentin Paletta

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 189, С. 113977 - 113977

Опубликована: Ноя. 3, 2023

Язык: Английский

Процитировано

24

The MOSAiC Distributed Network: Observing the coupled Arctic system with multidisciplinary, coordinated platforms DOI Creative Commons
Benjamin Rabe, Christopher J. Cox, Ying‐Chih Fang

и другие.

Elementa Science of the Anthropocene, Год журнала: 2024, Номер 12(1)

Опубликована: Янв. 1, 2024

Central Arctic properties and processes are important to the regional global coupled climate system. The Multidisciplinary drifting Observatory for Study of Climate (MOSAiC) Distributed Network (DN) autonomous ice-tethered systems aimed bridge gaps in our understanding temporal spatial scales, particular with respect resolution Earth system models. By characterizing variability around local measurements made at a Observatory, DN covers both interactions involving ocean-ice-atmosphere interfaces as well three-dimensional ocean, sea ice, atmosphere. more than 200 instruments (“buoys”) were varying complexity set up different sites mostly within 50 km Observatory. During an exemplary midwinter month, observations captured atmospheric on sub-monthly time but less so monthly means. They show significant snow depth ice thickness, provide temporally spatially resolved characterization motion deformation, showing coherency scale smaller scales. Ocean data background gradient across dependent due mixed layer sub-mesoscale mesoscale processes, influenced by variable cover. second case (May–June 2020) illustrates utility during absence manually obtained providing continuity physical biological this key transitional period. We examples synergies between extensive MOSAiC remote sensing numerical modeling, such estimating skill drift forecasts evaluating modeling. has been proven enable analysis atmosphere-ice-ocean potential improve model parameterizations important, unresolved future.

Язык: Английский

Процитировано

15

Isotopic signatures of snow, sea ice, and surface seawater in the central Arctic Ocean during the MOSAiC expedition DOI Creative Commons
Moein Mellat, Camilla Francesca Brunello, Martin Werner

и другие.

Elementa Science of the Anthropocene, Год журнала: 2024, Номер 12(1)

Опубликована: Янв. 1, 2024

The Arctic Ocean is an exceptional environment where hydrosphere, cryosphere, and atmosphere are closely interconnected. Changes in sea-ice extent thickness affect ocean currents, as well moisture heat exchange with the atmosphere. Energy water fluxes impact formation melting of sea ice snow cover. Here, we present a comprehensive statistical analysis stable isotopes various hydrological components central obtained during Multidisciplinary drifting Observatory for Study Climate (MOSAiC) expedition 2019–2020, including understudied winter. Our dataset comprises >2200 water, snow, samples. Snow had most depleted variable isotopic composition, δ18O (–16.3‰) increasing consistently from surface (–22.5‰) to bottom (–9.7‰) snowpack, suggesting that metamorphism wind-induced transport may overprint original precipitation isotope values. In Ocean, also help distinguish between different types, whether there meteoric contribution. composition salinity seawater indicated relative contributions freshwater sources: lower (approximately –3.0‰) salinities were observed near eastern Siberian shelves towards center Transpolar Drift due river discharge. Higher –1.5‰) associated Atlantic source when RV Polarstern crossed Gakkel Ridge into Nansen Basin. These changes driven mainly by shifts within carried across Ocean. highlights importance investigating fractionation effects, example, melting. A systematic full-year sampling strengthens our understanding cycle provides crucial insights interaction atmosphere, ice, their spatio-temporal variations MOSAiC.

Язык: Английский

Процитировано

11

Ultrafast Diamond Photodiodes for Vacuum Ultraviolet Imaging in Space‐Based Applications DOI Open Access

Lemin Jia,

Siqi Zhu,

Naiji Zhang

и другие.

Advanced Optical Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 12, 2025

Abstract Monitoring the vacuum ultraviolet (VUV) radiation from Sun by spaceborne photodetectors is an indispensable and crucial approach in solar physics research atmospheric photochemistry investigations. Diamond‐based are emerging as ideal candidates to replace traditional silicon‐based detectors for high‐selectivity hardness. Here, a vertical Schottky photodiode based on p‐type high‐quality single‐crystal diamond presented. By modulating surface band structure alignment, ultra‐short response time of only 15 ns, photo‐to‐dark current ratio greater than 10 5 under reverse bias achieved. It first study spectral range 260 nm low 120 conditions, exhibiting selective responsivity excellent imaging capability VUV range. This device holds promising prospects coupling with optomechanical systems enable multidimensional detection radiation, including spectrum.

Язык: Английский

Процитировано

2