Short-Term Climatic Variability of the Arctic

1990 ◽  
Vol 3 (2) ◽  
pp. 237-250 ◽  
Author(s):  
John E. Walsh ◽  
William L. Chapman
Author(s):  
O. Yu. Atkov ◽  
S. G. Gorokhova

The individual dynamics of the allostatic load index was revealed mainly due to changes in the glucose level, body mass index, which makes it applicable for assessing the short-term adaptation to the stay in the conditions of shift work


2018 ◽  
Vol 31 (3) ◽  
pp. 997-1014 ◽  
Author(s):  
Daniela I. V. Domeisen ◽  
Gualtiero Badin ◽  
Inga M. Koszalka

ABSTRACT The North Atlantic Oscillation (NAO) and the Arctic Oscillation (AO) describe the dominant part of the variability in the Northern Hemisphere extratropical troposphere. Because of the strong connection of these patterns with surface climate, recent years have shown an increased interest and an increasing skill in forecasting them. However, it is unclear what the intrinsic limits of short-term predictability for the NAO and AO patterns are. This study compares the variability and predictability of both patterns, using a range of data and index computation methods for the daily NAO and AO indices. Small deviations from Gaussianity are found along with characteristic decorrelation time scales of around one week. In the analysis of the Lyapunov spectrum it is found that predictability is not significantly different between the AO and NAO or between reanalysis products. Differences exist, however, between the indices based on EOF analysis, which exhibit predictability time scales around 12–16 days, and the station-based indices, exhibiting a longer predictability of 18–20 days. Both of these time scales indicate predictability beyond that currently obtained in ensemble prediction models for short-term predictability. Additional longer-term predictability for these patterns may be gained through local feedbacks and remote forcing mechanisms for particular atmospheric conditions.


2016 ◽  
Vol 13 (24) ◽  
pp. 6651-6667 ◽  
Author(s):  
Jing Tang ◽  
Guy Schurgers ◽  
Hanna Valolahti ◽  
Patrick Faubert ◽  
Päivi Tiiva ◽  
...  

Abstract. The Arctic is warming at twice the global average speed, and the warming-induced increases in biogenic volatile organic compounds (BVOCs) emissions from Arctic plants are expected to be drastic. The current global models' estimations of minimal BVOC emissions from the Arctic are based on very few observations and have been challenged increasingly by field data. This study applied a dynamic ecosystem model, LPJ-GUESS, as a platform to investigate short-term and long-term BVOC emission responses to Arctic climate warming. Field observations in a subarctic tundra heath with long-term (13-year) warming treatments were extensively used for parameterizing and evaluating BVOC-related processes (photosynthesis, emission responses to temperature and vegetation composition). We propose an adjusted temperature (T) response curve for Arctic plants with much stronger T sensitivity than the commonly used algorithms for large-scale modelling. The simulated emission responses to 2 °C warming between the adjusted and original T response curves were evaluated against the observed warming responses (WRs) at short-term scales. Moreover, the model responses to warming by 4 and 8 °C were also investigated as a sensitivity test. The model showed reasonable agreement to the observed vegetation CO2 fluxes in the main growing season as well as day-to-day variability of isoprene and monoterpene emissions. The observed relatively high WRs were better captured by the adjusted T response curve than by the common one. During 1999–2012, the modelled annual mean isoprene and monoterpene emissions were 20 and 8 mg C m−2 yr−1, with an increase by 55 and 57 % for 2 °C summertime warming, respectively. Warming by 4 and 8 °C for the same period further elevated isoprene emission for all years, but the impacts on monoterpene emissions levelled off during the last few years. At hour-day scale, the WRs seem to be strongly impacted by canopy air T, while at the day–year scale, the WRs are a combined effect of plant functional type (PFT) dynamics and instantaneous BVOC responses to warming. The identified challenges in estimating Arctic BVOC emissions are (1) correct leaf T estimation, (2) PFT parameterization accounting for plant emission features as well as physiological responses to warming, and (3) representation of long-term vegetation changes in the past and the future.


2019 ◽  
Vol 13 (5) ◽  
pp. 1513-1528 ◽  
Author(s):  
Andrew M. Cunliffe ◽  
George Tanski ◽  
Boris Radosavljevic ◽  
William F. Palmer ◽  
Torsten Sachs ◽  
...  

Abstract. Permafrost landscapes are changing around the Arctic in response to climate warming, with coastal erosion being one of the most prominent and hazardous features. Using drone platforms, satellite images, and historic aerial photographs, we observed the rapid retreat of a permafrost coastline on Qikiqtaruk – Herschel Island, Yukon Territory, in the Canadian Beaufort Sea. This coastline is adjacent to a gravel spit accommodating several culturally significant sites and is the logistical base for the Qikiqtaruk – Herschel Island Territorial Park operations. In this study we sought to (i) assess short-term coastal erosion dynamics over fine temporal resolution, (ii) evaluate short-term shoreline change in the context of long-term observations, and (iii) demonstrate the potential of low-cost lightweight unmanned aerial vehicles (“drones”) to inform coastline studies and management decisions. We resurveyed a 500 m permafrost coastal reach at high temporal frequency (seven surveys over 40 d in 2017). Intra-seasonal shoreline changes were related to meteorological and oceanographic variables to understand controls on intra-seasonal erosion patterns. To put our short-term observations into historical context, we combined our analysis of shoreline positions in 2016 and 2017 with historical observations from 1952, 1970, 2000, and 2011. In just the summer of 2017, we observed coastal retreat of 14.5 m, more than 6 times faster than the long-term average rate of 2.2±0.1 m a−1 (1952–2017). Coastline retreat rates exceeded 1.0±0.1 m d−1 over a single 4 d period. Over 40 d, we estimated removal of ca. 0.96 m3 m−1 d−1. These findings highlight the episodic nature of shoreline change and the important role of storm events, which are poorly understood along permafrost coastlines. We found drone surveys combined with image-based modelling yield fine spatial resolution and accurately geolocated observations that are highly suitable to observe intra-seasonal erosion dynamics in rapidly changing Arctic landscapes.


1970 ◽  
Vol 65 (4) ◽  
pp. 645-649 ◽  
Author(s):  
Richard V. Andrews

ABSTRACT Daily variations in adrenal secretion by glands from arctic rodents were measured in vitro. Serial-sacrifice, short-term incubation studies yield similar results to those data obtained through organ-culture methods. Adrenal secretory rates display some desynchronization from locomotor activity during the summer solstice, although circadian variation persists during all seasons of the arctic year.


2005 ◽  
Vol 18 (9) ◽  
pp. 1411-1422 ◽  
Author(s):  
Fotis Panagiotopoulos ◽  
Maria Shahgedanova ◽  
Abdelwaheb Hannachi ◽  
David B. Stephenson

Abstract This study investigates variability in the intensity of the wintertime Siberian high (SH) by defining a robust SH index (SHI) and correlating it with selected meteorological fields and teleconnection indices. A dramatic trend of –2.5 hPa decade−1 has been found in the SHI between 1978 and 2001 with unprecedented (since 1871) low values of the SHI. The weakening of the SH has been confirmed by analyzing different historical gridded analyses and individual station observations of sea level pressure (SLP) and excluding possible effects from the conversion of surface pressure to SLP. SHI correlation maps with various meteorological fields show that SH impacts on circulation and temperature patterns extend far outside the SH source area extending from the Arctic to the tropical Pacific. Advection of warm air from eastern Europe has been identified as the main mechanism causing milder than normal conditions over the Kara and Laptev Seas in association with a strong SH. Despite the strong impacts of the variability in the SH on climatic variability across the Northern Hemisphere, correlations between the SHI and the main teleconnection indices of the Northern Hemisphere are weak. Regression analysis has shown that teleconnection indices are not able to reproduce the interannual variability and trends in the SH. The inclusion of regional surface temperature in the regression model provides closer agreement between the original and reconstructed SHI.


Author(s):  
N. John Anderson ◽  
Ole Bennike

NOTE: This article was published in a former series of GEUS Bulletin. Please use the original series name when citing this article, for example: Anderson, N. J., & Bennike, O. (1997). Holocene lake sediments in West Greenland and their palaeoclimatic and palaeoecological implications. Geology of Greenland Survey Bulletin, 176, 89-94. https://doi.org/10.34194/ggub.v176.5072 _______________ There is considerable interest both from social and environmental perspectives as to the possible effects of future climate changes. This interest, which focuses on the time scales and rates of change of future climatic variability, has led to an increased recognition of the importance of studies of palaeoclimates and their ecological impacts (Street-Perrot & Roberts, 1994). General circulation models (GCMs) suggest that the Arctic will be especially sensitive to increased atmospheric temperatures (the ‘greenhouse effect’). Such predictions or forecasts of future climatic scenarios are the primary role for GCMs in the debate about future global climate change (Henderson-Sellers, 1994), but it is also possible to use GCMs to model past-climate changes (Henderson-Sellers, 1990; Street-Perrot & Roberts, 1994). GCM hindcasts of past climate have the advantage that the predictions can be independently validated against palaeoclimate data derived from a variety of proxy sources, e.g. ice cores, peats, marine and lake sediments (Street-Perrot & Roberts, 1994; Anderson, 1995). Arctic lake sediments are an important natural archive of past changes in climate, but they also record the impact of these climatic changes on the local biota and environment (Smol et al., 1991). Lake sediment records can be used to provide the necessary baseline information against which future anthropogenic changes can be evaluated (Anderson, 1993). Such baseline conditions are often difficult to determine from contemporary data as the monitoring programmes are initiated after change has already occurred. Arctic lakes and their catchment areas have two other important aspects which make them ideally suited to detailed, quantitative palaeoecological and palaeoclimatic approaches: they have a relatively simple biological structure, and anthropogenic impacts on the catchment areas are so small they can be effectively discounted. Because the shallow lakes are often fishless, the effects of higher trophic levels (the trophic cascade) on the lower trophic levels (primary producers, e.g. algae and phototrophic bacteria) can also be discounted. This has the implication that the majority of the limnological changes recorded in the lake sediments represent climate-driven catchment-lake interactions. It is possible therefore, to evaluate the effect of past-climate changes, such as the Holocene thermal maximum, on the lake biota. Importantly, independent estimates of past-climate can be derived from GCMs or from the ice-core records (Johnsen et al., 1995). In contrast to most other regions of the globe that are experiencing increasing temperatures, West Greenland and the Baffin Bay region have seen decreasing temperatures during recent decades. Studies of lake sediments that are widespread in West Greenland can provide information about the temporal and spatial climatic variability since the last ice age.


2021 ◽  
Author(s):  
Lena Hermesdorf ◽  
Ludovica D'Imperio ◽  
Bo Elberling ◽  
Per Lennart Ambus

<p>Wildfire frequency in the Arctic has increased in recent years and is projected to increase further with changes in climatic conditions due to warmer and drier summers. Yet, there is a lack of knowledge about the impacts such events may have on the net greenhouse gas (GHG) balances in ecosystems. During three consecutive growing seasons, we investigated the immediate and short-term effects of experimental fire on carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>), and nitrous oxide (N<sub>2</sub>O) surface fluxes in a well-drained tundra ecosystem in West Greenland. During the fire, we monitored litter and surface temperature, as well as the soil temperature in the top 0-5 cm. The results showed that surface temperatures exceeded 400 °C during the burning process and combusted all aboveground biomass, which significantly affected the ecosystem carbon (C) balance. Burned plots continued to be a net CO<sub>2</sub> source for at least two years after burning. Meanwhile, soil temperature did not exceed 60 °C during the fire, and soil GHG cycling appeared relatively resistant to these conditions. Burning had an effect on soil properties and CH<sub>4</sub> fluxes only immediately after the fire event and it had no significant effect on ecosystem respiration (ER). Instead net CH<sub>4</sub> uptake and ER correlated (p<0.05) with soil moisture and soil temperature, respectively. No significant fire effects were observed in net N<sub>2</sub>O fluxes which suggests that processes linked to the nitrogen (N) cycle are driven by factors that were not affected by this moderate fire event.   </p>


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