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  • 1
    Publication Date: 2023-01-13
    Description: Low‐level mixed‐phase clouds (MPCs) occur extensively in the Arctic, and are known to play a key role for the energy budget. While their characteristic structure is nowadays well understood, the significance of different precipitation‐formation processes, such as aggregation and riming, is still unclear. Using a 3‐year data set of vertically pointing W‐band cloud radar and K‐band Micro Rain Radar (MRR) observations from Ny‐Ålesund, Svalbard, we statistically assess the relevance of aggregation in Arctic low‐level MPCs. Combining radar observations with thermodynamic profiling, we find that larger snowflakes (mass median diameter larger than 1 mm) are predominantly produced in low‐level MPCs whose mixed‐phase layer is at temperatures between −15 and −10°C. This coincides with the temperature regime known for favoring aggregation due to growth and subsequent mechanical entanglement of dendritic crystals. Doppler velocity information confirms that these signatures are likely due to enhanced ice particle growth by aggregation. Signatures indicative of enhanced aggregation are however not distributed uniformly across the cloud deck, and only observed in limited regions, suggesting a link with dynamical effects. Low Doppler velocity values further indicate that significant riming of large particles is unlikely at temperatures colder than −5°C. Surprisingly, we find no evidence of enhanced aggregation at temperatures warmer than −5°C, as is typically observed in deeper cloud systems. Possible reasons are discussed, likely connected to the ice habits that form at temperatures warmer than −10°C, increased riming, and lack of particle populations characterized by broader size distributions precipitating from higher altitudes.
    Description: Plain Language Summary: Low‐level mixed‐phase clouds (MPCs), that is, shallow clouds containing both liquid droplets and ice crystals, form frequently in the Arctic region. Their characteristic structure—consisting of one or multiple liquid layers at sub‐zero temperatures, from which ice crystals form and precipitate—is nowadays well understood. However, the processes that lead to the growth of ice crystals into snow have been overlooked. Using a 3‐year data set of radar observations from Ny‐Ålesund, in Svalbard, Norway, we are able to identify situations when the ice particle growth is dominated by aggregation of several individual crystals. Combining radar observations with temperature information, we find that larger snowflakes are only produced in MPCs if their liquid portion is at temperatures between −15 and −10°C. This coincides with the temperature regime known for favoring aggregation due to growth and subsequent entanglement of branched crystals. Surprisingly, we find no evidence of enhanced ice aggregation at temperatures warmer than −5°C, as is typically observed in deeper cloud systems. Possible reasons are discussed, likely connected to the ice crystal shapes that develop at temperatures warmer than −10°C, increased liquid droplet production, and lack of particles precipitating from higher altitudes.
    Description: Key Points: Low‐level mixed‐phase clouds (MPCs) at Ny‐Ålesund produce large aggregates predominantly at dendritic‐growth temperatures. Enhanced aggregation due to dendritic growth occurs intermittently in limited regions of the MPC. The typically observed enhanced aggregation zone close to 0°C is absent in low‐level MPCs at the site.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: ddc:551.5 ; Arctic mixed‐phase clouds ; aggregation ; riming ; dendritic‐growth zone ; radar
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2017-01-30
    Description: A multi-layer ozone (O3) dry deposition model has been implemented into SOSAA (a model to Simulate the concentrations of Organic vapours, Sulphuric Acid and Aerosols) to improve the representation of O3 concentration and flux within and above the forest canopy in the planetary boundary layer. We aim to predict the O3 uptake by a boreal forest canopy under varying environmental conditions and analyse the influence of different factors on total O3 uptake by the canopy as well as the vertical distribution of deposition sinks inside the canopy. The newly implemented dry deposition model was validated by an extensive comparison of simulated and observed O3 turbulent fluxes and concentration profiles within and above the boreal forest canopy at SMEAR II (Station to Measure Ecosystem–Atmosphere Relations II) in Hyytiälä, Finland, in August 2010. In this model, the fraction of wet surface on vegetation leaves was parametrised according to the ambient relative humidity (RH). Model results showed that when RH was larger than 70 % the O3 uptake onto wet skin contributed ∼ 51 % to the total deposition during nighttime and ∼ 19 % during daytime. The overall contribution of soil uptake was estimated about 36 %. The contribution of sub-canopy deposition below 4.2 m was modelled to be ∼ 38 % of the total O3 deposition during daytime, which was similar to the contribution reported in previous studies. The chemical contribution to O3 removal was evaluated directly in the model simulations. According to the simulated averaged diurnal cycle the net chemical production of O3 compensated up to ∼ 4 % of dry deposition loss from about 06:00 to 15:00 LT. During nighttime, the net chemical loss of O3 further enhanced removal by dry deposition by a maximum ∼ 9 %. Thus the results indicated an overall relatively small contribution of airborne chemical processes to O3 removal at this site.
    Print ISSN: 1680-7316
    Electronic ISSN: 1680-7324
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 3
    Publication Date: 2016-03-09
    Description: A 1-D atmospheric boundary layer (ABL) model coupled with a detailed atmospheric chemistry and aerosol dynamical model, the model SOSAA, was used to predict the ABL and detailed aerosol population (characterized by the number size distribution) time evolution. The model was applied over a period of 10 days in May 2013 to a pine forest site in southern Finland. The period was characterized by frequent new particle formation events and simultaneous intensive aerosol transformation. The aim of the study was to analyze and quantify the role of aerosol and ABL dynamics in the vertical transport of aerosols. It was of particular interest to what extent the fluxes above the canopy deviate from the particle dry deposition on the canopy foliage due to the above-mentioned processes. The model simulations revealed that the particle concentration change due to aerosol dynamics frequently exceeded the effect of particle deposition by even an order of magnitude or more. The impact was, however, strongly dependent on particle size and time. In spite of the fact that the timescale of turbulent transfer inside the canopy is much smaller than the timescales of aerosol dynamics and dry deposition, leading us to assume well-mixed properties of air, the fluxes at the canopy top frequently deviated from deposition inside the forest. This was due to transformation of aerosol concentration throughout the ABL and resulting complicated pattern of vertical transport. Therefore we argue that the comparison of timescales of aerosol dynamics and deposition defined for the processes below the flux measurement level do not unambiguously describe the importance of aerosol dynamics for vertical transport above the canopy. We conclude that under dynamical conditions reported in the current study the micrometeorological particle flux measurements can significantly deviate from the dry deposition into the canopy. The deviation can be systematic for certain size ranges so that the time-averaged particle fluxes can be also biased with respect to deposition sink.
    Print ISSN: 1680-7316
    Electronic ISSN: 1680-7324
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 4
    Publication Date: 2020-03-24
    Description: Low-level mixed-phase clouds (MPCs) are common in the Arctic. Both local and large-scale phenomena influence the properties and lifetime of MPCs. Arctic fjords are characterized by complex terrain and large variations in surface properties. Yet, not many studies have investigated the impact of local boundary layer dynamics and their relative importance on MPCs in the fjord environment. In this work, we used a combination of ground-based remote sensing instruments, surface meteorological observations, radiosoundings, and reanalysis data to study persistent low-level MPCs at Ny-Ålesund, Svalbard, for a 2.5-year period. Methods to identify the cloud regime, surface coupling, and regional and local wind patterns were developed. We found that persistent low-level MPCs were most common with westerly winds, and the westerly clouds had a higher mean liquid (42 g m−2) and ice water path (16 g m−2) compared to those with easterly winds. The increased height and rarity of persistent MPCs with easterly free-tropospheric winds suggest the island and its orography have an influence on the studied clouds. Seasonal variation in the liquid water path was found to be minimal, although the occurrence of persistent MPCs, their height, and their ice water path all showed notable seasonal dependency. Most of the studied MPCs were decoupled from the surface (63 %–82 % of the time). The coupled clouds had 41 % higher liquid water path than the fully decoupled ones. Local winds in the fjord were related to the frequency of surface coupling, and we propose that katabatic winds from the glaciers in the vicinity of the station may cause clouds to decouple. We concluded that while the regional to large-scale wind direction was important for the persistent MPC occurrence and properties, the local-scale phenomena (local wind patterns in the fjord and surface coupling) also had an influence. Moreover, this suggests that local boundary layer processes should be described in models in order to present low-level MPC properties accurately.
    Print ISSN: 1680-7316
    Electronic ISSN: 1680-7324
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 5
    Publication Date: 2019-07-08
    Description: Low-level mixed-phase clouds (MPC) are common in the Arctic. Both local and large scale phenomena influence the properties and lifetime of MPC. Arctic fjords are characterized by complex terrain and large variations in surface properties. Yet, not many studies have investigated the impact of local boundary layer dynamics and their relative importance on MPC in the fjord environment. In this work, we used a combination of ground-based remote sensing instruments, surface meteorological observations, radiosoundings, and reanalysis data to study persistent low-level MPC at Ny Ålesund, Svalbard, for a 2.5 year period. Methods to identify the cloud regime, surface coupling, as well as regional and local wind patterns were developed. We found that persistent MPCs were most common with westerly winds, and the westerly clouds had a higher mean liquid (42 g m−2) and ice water path (16 g m−2) compared to the overall mean of 35 and 12 g m−2, respectively. Most of the studied MPCs were decoupled from the surface (63–82 % of the time). The coupled clouds had 41 % higher liquid water path than the fully decoupled ones. Local winds in the fjord were related to the frequency of surface coupling, and we propose that katabatic winds from the glaciers in the vicinity of the station may cause clouds to decouple. Furthermore, the near surface wind direction from the open sea was related to higher amounts of cloud liquid, and higher likelihood of coupling.We concluded that while the regional to large scale wind direction was important for the persistent MPC occurrence and its properties, also the local scale phenomena (local wind patterns in the fjord and surface coupling) had an influence. Moreover, this suggests that local boundary layer processes should be described in models in order to present low-level MPC properties accurately.
    Electronic ISSN: 1680-7375
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 6
    Publication Date: 2016-04-27
    Description: A multi-layer ozone (O3) dry deposition model has been implemented into SOSAA (a model to Simulate the concentrations of Organic vapours, Sulphuric Acid and Aerosols) to improve the representation of O3 within and above the forest canopy in the planetary boundary layer where O3 is a key oxidant agent of biogenic volatile organic compounds (BVOCs) and thus affecting organic aerosol processes. We aim to predict the O3 uptake by a boreal forest canopy under varying environmental conditions and analyse the influence of different factors on total O3 uptake by the canopy as well as the vertical distribution of deposition sinks inside the canopy. We evaluated the newly implemented canopy deposition model by an extensive comparison of simulated and observed O3 fluxes and concentration profiles within and above the boreal forest canopy at SMEAR II (the Station to Measure Ecosystem-Atmosphere Relation II) in Hyytiälä, Finland, in August, 2010. The first half of August showed extremely warm and dry conditions which were probably representative for summer conditions prevailing at this site in future. The simulated O3 turbulent fluxes at the canopy top and the O3 concentration profiles inside the canopy agreed well with the measurement, which indicated that the turbulent transport and the O3 dry deposition onto the canopy and soil surface appeared to be properly represented in the model. In this model, the fraction of wet surface on vegetation leaves was parameterised according to the ambient relative humidity (RH). Model results showed that when RH was larger than 70 % the O3 uptake onto wet skin contributed 48.6 % to the total deposition during nighttime and 22.0 % during daytime. In addition, most of the O3 deposition occurred below 0.8 hc (canopy height) at this site. The contribution of sub-canopy deposition below 4.2 m was modelled to be about 40 % of the total O3 deposition during daytime which was similar to previous studies. Whereas for nighttime, the simulated sub-canopy deposition contributed 40–65 % to the total O3 deposition which was about two times as that in previous studies (25–30 %). The overall contribution of soil uptake was estimated as 36.5 %. These results indicated the importance of non-stomatal O3 uptake processes, especially the uptake on wet skin and soil surface. Furthermore, a qualitative evaluation of the chemical removal time scales indicated that the chemical removal rate within canopy was about 5 % of the total deposition flux at daytime and 16 % at nighttime under current knowledge of air chemistry. The evaluation of the O3 deposition processes provides improved understanding about the mechanisms involved in the removal of O3 for this boreal forest site which are also relevant to the removal of other reactive compounds such as the BVOCs and their oxidation products, which will be focus of a follow-up study.
    Electronic ISSN: 1680-7375
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 7
  • 8
    Publication Date: 2024-04-20
    Description: Cloud radars provide information on micro- and macrophysical properties of clouds and precipitation. Continuous zenith-pointing cloud radar observations were made with the 94 GHz (W-band) frequency modulated continuous wave Doppler radar (model RPG-FMCW-94-SP) named MiRAC-A. Measurements were carried out at the AWIPEV Atmospheric Observatory in Ny-Ålesund, Svalbard, from 28 July 2017 to 8 October 2018. The atmospheric column from 100 m to 12 km above the surface was profiled with a vertical resolution of 3.2-24 m and a temporal resolution of 2 s. The data was post-processed to correct for Doppler aliasing and the radar calibration was adjusted based on a reference radar. The data contains only the Doppler spectra, radar moments are available as a separate data set. Some technical parameters and flags related to measurement operation, post-processing, and data quality, which could be relevant for some data users, are also provided.
    Keywords: AC3; Arctic; Arctic Amplification; AWIPEV; AWIPEV_based; clouds; DATE/TIME; Koldewey; netCDF file; netCDF file (File Size); Ny-Ålesund; radar; radar Doppler spectra; radar reflectivity; Research station; RS; Spitsbergen, Svalbard; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 10287 data points
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  • 9
    Publication Date: 2024-04-20
    Description: Cloud radars provide information on micro- and macrophysical properties of clouds and precipitation. Continuous zenith-pointing cloud radar observations were made with two 94 GHz (W-band) frequency modulated continuous wave Doppler radars (model RPG-FMCW-94-SP). The two radars, named JOYRAD-94 and MiRAC-A, have been consecutively operated at the AWIPEV Atmospheric Observatory in Ny-Ålesund, Svalbard. The atmospheric column from 100 m to 12 km above the surface was profiled with a a vertical resolution of 3.2-34 m and a temporal resolution of 2-3 s. The data was post-processed to correct for Doppler aliasing and the radar calibration was adjusted based on a reference radar. The data includes the equivalent radar reflectivity factor, mean Doppler velocity, and skewness and kurtosis of the Doppler spectra. Some technical parameters and flags related to measurement operation, post-processing, and data quality, which could be relevant for some data users, are also provided.
    Keywords: AC3; Arctic; Arctic Amplification; AWIPEV; AWIPEV_based; clouds; Koldewey; Ny-Ålesund; radar; radar reflectivity; Research station; RS; Spitsbergen, Svalbard; Svalbard
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 10
    Publication Date: 2024-04-20
    Description: This dataset contains time-height series of dual-wavelength radar reflectivity ratio (DWR) and mean Doppler velocity (MDV) from vertically-pointing observations of a 94-GHz cloud radar (RPG-FMCW-94-SP) and a 24-GHz Micro Rain Radar 2 (MRR-2), located at the AWIPEV observatory in Ny-Ålesund, Svalbard, Norway. This dataset is accompanying Chellini et al. (2022, doi:10.1029/2022JD036860), which contains detailed information on how this dataset was produced. DWR is dependent on the size of the ice particles in the radar volume (e.g., Hogan et al., 2000, doi:10.1175/1520-0426(2000)017〈0027:MCSICU〉2.0.CO;2), and combined with MDV it can provide information on the processes that lead to the formation of frozen precipitation (e.g., Dias Neto et al., 2019, doi:10.5194/essd-11-845-2019). Measurements are given for two time periods: from 1 September 2017 to 9 October. 2018, and from 14 June 2019 to 28 February 2021. Two different RPG-FMCW-94-SP cloud radar systems were used: MiRAC-A (Mech et al., 2019, doi:10.5194/amt-12-5019-2019) during the first period, and JOYRAD-94 (Küchler et al., 2017, doi:10.1175/JTECH-D-17-0019.1) during the second period. The same MRR-2 (https://metek.de/product/mrr-2/) instrument was used during both periods. Measurements from the 94-GHz cloud radars are averaged to the same time and range resolution as the MRR-2, and DWR values are obtained by dividing the MRR-2 radar reflectivity by the averaged 94-GHz cloud radar reflectivity, then converted to decibels. MDV reported is obtained from the 94-GHz cloud radars alone, and is also averaged to the MRR-2 resolution to enable a joint analysis with DWR. MRR-2 reflectivities were calibrated with a widely used disdrometer-based approach (e.g., Myagkov et al., 2020, doi:10.5194/amt-13-5799-2020), while the DWR values were calibrated using an approach similar to that by Dias Neto et al. (2019, doi:10.5194/essd-11-845-2019). Temperature time series from a co-located weather station (Vaisala WXT536) is also included. The data were collected in the framework of the Transregional Collaborative Research Center TR 172 “Arctic Amplification: Climate Relevant Atmospheric and Surface Processes and Feedback Mechanisms (AC)3” (https://www.ac3-tr.de/), funded by the German Research Fundation (Deutsche Forschungsgemeinschaft, DFG).
    Keywords: AC3; Arctic Amplification; AWIPEV; AWIPEV_based; Binary Object; Binary Object (File Size); DATE/TIME; File content; Koldewey; Research station; RS; Spitsbergen, Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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