ALBERT

Description: Author(s): J. R. Beamish, A. D. Fefferman, A. Haziot, X. Rojas, and S. Balibar A number of recent experiments have used torsional oscillators to study the behavior of solid helium. The oscillator frequencies increased at temperatures below 200 mK, an effect attributed to decoupling of a fraction of the helium mass—the signature of a “supersolid” phase. However, helium's shear ... [Phys. Rev. B 85, 180501] Published Thu May 03, 2012

Description: The role of polar regions is increasing in terms of megatrends such as globalization, new transport routes, demography, and the use of natural resources with consequent effects on regional and transported pollutant concentrations. We set up the ERA-PLANET Strand 4 project “iCUPE – integrative and Comprehensive Understanding on Polar Environments” to provide novel insights and observational data on global grand challenges with an Arctic focus. We utilize an integrated approach combining in situ observations, satellite remote sensing Earth observations (EOs), and multi-scale modeling to synthesize data from comprehensive long-term measurements, intensive campaigns, and satellites to deliver data products, metrics, and indicators to stakeholders concerning the environmental status, availability, and extraction of natural resources in the polar areas. The iCUPE work consists of thematic state-of-the-art research and the provision of novel data in atmospheric pollution, local sources and transboundary transport, the characterization of arctic surfaces and their changes, an assessment of the concentrations and impacts of heavy metals and persistent organic pollutants and their cycling, the quantification of emissions from natural resource extraction, and the validation and optimization of satellite Earth observation (EO) data streams. In this paper we introduce the iCUPE project and summarize initial results arising out of the integration of comprehensive in situ observations, satellite remote sensing, and multi-scale modeling in the Arctic context.

Description: Arctic warming is leading to substantial changes to permafrost including rapid degradation of ice and ice-rich coasts and riverbanks. In this study, we present and evaluate a high spatiotemporal resolution three-year time series of X-Band microwave satellite data from the TerraSAR-X (TSX) satellite to quantify cliff-top erosion (CTE) of an ice-rich permafrost riverbank in the central Lena Delta. We apply a threshold on TSX backscatter images and automatically extract cliff-top lines to derive intra- and inter-annual CTE. In order to examine the drivers of erosion we statistically compare CTE with climatic baseline data using linear mixed models and analysis of variance (ANOVA). Our evaluation of TSX-derived CTE against annual optical-derived CTE and seasonal in situ measurements showed good agreement between all three datasets. We observed continuous erosion from June to September in 2014 and 2015 with no significant seasonality across the thawing season. We found the highest net annual cliff-top erosion of 6.9 m in 2014, in accordance with above-average mean temperatures and thawing degree days as well as low precipitation. We found high net annual erosion and erosion variability in 2015 associated with moderate mean temperatures but above average precipitation. According to linear mixed models, climate parameters alone could not explain intra-seasonal erosional patterns and additional factors such as ground ice content likely drive the observed erosion. Finally, mean backscatter intensity on the cliff surface decreased from ?5.29 to ?6.69 dB from 2013 to 2015, respectively, likely resulting from changes in surface geometry and properties that could be connected to partial slope stabilization. Overall, we conclude that X-Band backscatter time series can successfully be used to complement optical remote sensing and in situ monitoring of rapid tundra permafrost erosion at riverbanks and coasts by reliably providing information about intra-seasonal dynamics.

Description: Localized permafrost disturbances such as active layer detachments (ALDs) are increasing in frequency and severity across the Canadian Arctic impacting terrestrial ecosystem functioning. However, the contribution of permafrost disturbance-carbon feedbacks to the carbon (C) balance of Arctic ecosystems is poorly understood. Here, we explore the short-term impact of active layer detachments (ALDs) on carbon dioxide (CO2) exchange in a High Arctic semi-desert ecosystem by comparing midday C exchange between undisturbed areas, moderately disturbed areas (intact islands of vegetation within an ALD), and highly disturbed areas (non-vegetated areas due to ALD). Midday C exchange was measured using a static chamber method between June 23 and August 8 during the 2009 and 2010 growing seasons. Results show that areas of high disturbance had significantly reduced gross ecosystem exchange and ecosystem respiration (RE) compared to control and moderately disturbed areas. Moderately disturbed areas showed significantly enhanced net ecosystem exchange compared to areas of high disturbance, but were not significantly different from control areas. Disturbance did not significantly impact soil thermal, physical or chemical properties. According to average midday fluxes, ALDs as a whole (moderately disturbed areas: ?1.942 \ensuremath{μ}}mol m?2 s?1+ highly disturbed areas: 2.969 {\ensuremath{μ}}mol m?2 s?1) were a small CO2 source of 1.027 {\ensuremath{μ}}mol m?2 s?1 which did not differ significantly from average midday fluxes in control areas 1.219 {\ensuremath{μ}mol m?2 s?1. The findings of this study provide evidence that the short-term impacts of ALDs on midday, net C exchange and soil properties in a High Arctic semi-desert are minimal.

Description: Recent changes in climate have led to significant shifts in phenology, with many studies demonstrating advanced phenology in response to warming temperatures. The rate of temperature change is especially high in the Arctic, but this is also where we have relatively little data on phenological changes and the processes driving these changes. In order to understand how Arctic plant species are likely to respond to future changes in climate, we monitored flowering phenology in response to both experimental and ambient warming for four widespread species in two habitat types over 21 years. We additionally used long-term environmental records to disentangle the effects of temperature increase and changes in snowmelt date on phenological patterns. While flowering occurred earlier in response to experimental warming, plants in unmanipulated plots showed no change or a delay in flowering over the 21-year period, despite more than 1 ?C of ambient warming during that time. This counterintuitive result was likely due to significantly delayed snowmelt over the study period (0.05?0.2 days/yr) due to increased winter snowfall. The timing of snowmelt was a strong driver of flowering phenology for all species ? especially for early-flowering species ? while spring temperature was significantly related to flowering time only for later-flowering species. Despite significantly delayed flowering phenology, the timing of seed maturation showed no significant change over time, suggesting that warmer temperatures may promote more rapid seed development. The results of this study highlight the importance of understanding the specific environmental cues that drive species? phenological responses as well as the complex interactions between temperature and precipitation when forecasting phenology over the coming decades. As demonstrated here, the effects of altered snowmelt patterns can counter the effects of warmer temperatures, even to the point of generating phenological responses opposite to those predicted by warming alone.

Description: Arctic ecosystems are highly heterogeneous with small-scale variations in species composition, microtopography, and surface moisture. Additionally, the low stature of tundra vegetation and lack of major structural changes seasonally creates uncertainties in the application of broadband remote sensing vegetation indices. The goal of this research is to examine the potential of high spectral resolution visible and near infrared (VNIR) spectroscopy to accurately differentiate vegetation communities as well as identify phenological stage and photosynthetic activity. Ground-based reflectance spectra were collected in 8 distinct vegetation communities at early, peak and late season in a low Arctic tundra ecosystem at the Toolik Research station on the Alaskan North Slope. The field-based reflectance spectra were used to simulate spectral data from the upcoming Environmental Mapping and Analysis Program (EnMAP) satellite to examine its applications in Arctic tundra ecosystems. Using an instability index (ISI), a waveband selection algorithm, and absorption feature band depth between 400 and 985 nm, we examined the performance of these two techniques in differentiation vegetation type and identifying biophysical parameters. Results show overall high and consistent waveband selection at major pigment absorption and reflectance features in the visible spectrum and red-edge transition when differentiating phenological stage. We expect that waveband selection when differentiating between vegetation communities will also be high in these spectral regions. Spectral band depth was well correlated to bulk pigment concentrations of chlorophyll and carotenoids. This indicates the potential to use band depth to infer photosynthetic activity. We will also examine the ability of band depth to differentiate vegetation type and phenology. The results of this research supports spectral remote sensing applications (airborne as well as current and future satellite missions) to assess vegetation heterogeneity and biophysical properties of the Arctic under a changing climate regime.

Description: The dataset is composed of AisaEAGLE airborne hyperspectral imagery data acquired during the AIRMETH2016 campaign on August 27th, 2016 within the Toolik Lake Natural Research Area on the Alaskan North Slope. The Toolik Lake Research Natural Area is representative of the North Slope physiographic province of the Southern Arctic Foothills (Walker et al., 1989). Dominant vegetation types are dictated by soil moisture and geology and include moist tussock tundra, wet sedge meadows, and dry upland heaths. The dataset includes three flight lines with 130 spectral bands ranging from VIS to NIR (451.7 – 897 nm) wavelength regions. The dataset also includes Level 2A EnMAP simulated imagery using the end-to-end Simulation tool (EeteS) with 78 bands from VIS to NIR (423 – 903 mn). The overall goal of the campaign was to acquire airborne imagery over the Toolik Vegetation grid encompassing 94 permanent 1 x 1 m vegetation plots where corresponding, comprehensive multi-seasonal spectral reflectance, photosynthetic pigment, and detailed species composition data exists. The remote sensing data are highly novel and can be used for vegetation mapping of species composition, plant biomass, and photosynthetic activity.

Description: The role of polar regions is increasing in terms of megatrends such as globalization, new transport routes, demography, and the use of natural resources with consequent effects on regional and transported pollutant concentrations. We set up the ERA-PLANET Strand 4 project “iCUPE – integrative and Comprehensive Understanding on Polar Environments” to provide novel insights and observational data on global grand challenges with an Arctic focus. We utilize an integrated approach combining in situ observations, satellite remote sensing Earth observations (EOs), and multi-scale modeling to synthesize data from comprehensive long-term measurements, intensive campaigns, and satellites to deliver data products, metrics, and indicators to stakeholders concerning the environmental status, availability, and extraction of natural resources in the polar areas. The iCUPE work consists of thematic state-of-the-art research and the provision of novel data in atmospheric pollution, local sources and transboundary transport, the characterization of arctic surfaces and their changes, an assessment of the concentrations and impacts of heavy metals and persistent organic pollutants and their cycling, the quantification of emissions from natural resource extraction, and the validation and optimization of satellite Earth observation (EO) data streams. In this paper we introduce the iCUPE project and summarize initial results arising out of the integration of comprehensive in situ observations, satellite remote sensing, and multi-scale modeling in the Arctic context.