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Secondary Ice Production upon Freezing of Freely Falling Drizzle Droplets

Alice Keinert, Dominik Spannagel, Thomas Leisner, Alexei Kiselev
2020 Journal of the Atmospheric Sciences  
In this work, we extend the study to include pure water and an aqueous solution of analog sea salt drizzle droplets moving at terminal velocity with respect to the surrounding cold humid air.  ...  Recent in-cloud observations and modeling studies have suggested the importance of secondary ice production upon shattering of freezing drizzle droplets.  ...  The authors acknowledge financial support of German Research Foundation (DFG) under Grant KI 1997/1-1, as well as support by the Helmholtz Association under Atmosphere and Climate Programme (ATMO).  ... 
doi:10.1175/jas-d-20-0081.1 fatcat:z2hujohl65hqxlkgqz36coksua

Comparison of a Spectral Microphysics and a Two-Moment Cloud Scheme: Numerical Simulations of the Cloud-Topped Marine Boundary Layer

Andreas Bott
2020 Boundary-layer Meteorology  
At the same time, however, the effects of single cloud microphysical processes differ substantially from those of MiStra.  ...  MiStra and PaStra are extended versions of the microphysical fog model (MiFog) (Bott et al. 1990) , and the parametrized fog model (PaFog) (Bott and Trautmann 2002) , including now the process of drizzle  ...  Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long  ... 
doi:10.1007/s10546-020-00501-4 fatcat:6fgxonkzdfbmzizl7vkite6vaa

Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing [article]

Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
2022 arXiv   pre-print
The timely processing of incoming streams requires the network to transfer massive amounts of data, and significant compute resources to process it.  ...  Rapid detection and mitigation of issues that impact performance and reliability is paramount for large-scale online services.  ...  Atscaling, per-query CPU demand drops to 30% and Jarvis supports up to four and six queries on a single-and two-core setup, respectively.  ... 
arXiv:2202.06021v1 fatcat:tfszlaphsve2pnl6rxw35f6nn4

Self‐adaptation on parallel stream processing: A systematic review

Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes
2021 Concurrency and Computation  
In this work, we aim at providing a literature review regarding self-adaptation applied to the parallel stream processing domain.  ...  On the one hand, stream processing applications are becoming more complex, dynamic, and long-running.  ...  Compared to related solutions, Drizzle achieved lower latencies and significantly faster recovery adaptability.  ... 
doi:10.1002/cpe.6759 fatcat:4qa2hlnhijbjbhmf73de5qa2re

[Extended] Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing

Atul Sandur, ChanHo Park, Stavros Volos, Gul Agha, Myeongjae Jeon
2021 Zenodo  
This is an extended paper version for a project we have been working on server monitoring and analytics in datacenters.  ...  If more data is processed at the data source, amount of data transferred and processed by the stream processor can be significantly reduced. Challenges.  ...  To realize data-level partitioning and fast query refinement, Jarvis adds two new primitives to the query processing pipeline: (i) Control proxy, a unified abstraction for stream operator and (ii) Jarvis  ... 
doi:10.5281/zenodo.5120252 fatcat:jy45btd2mba7xdi3fytfp34gly

A Survey on Automatic Parameter Tuning for Big Data Processing Systems

Herodotos Herodotou, Yuxing Chen, Jiaheng Lu
2020 ACM Computing Surveys  
, machine learning, and adaptive tuning.  ...  We investigate existing approaches on parameter tuning for both batch and stream data processing systems and classify them into six categories: rule-based, cost modeling, simulation-based, experiment-driven  ...  Drizzle [112] is a system that aims to improve fault tolerance and adaptability for stream processing by decoupling the coordination interval from the processing interval in Spark Streaming.  ... 
doi:10.1145/3381027 fatcat:7aglimtuwze25boptuano4ufdy

Palomar Gattini-IR: Survey overview, data processing system, on-sky performance and first results [article]

Kishalay De and Matthew J. Hankins and Mansi M. Kasliwal and Anna M. Moore and Eran O. Ofek and Scott M. Adams and Michael C. B. Ashley and Aliya-Nur Babul and Ashot Bagdasaryan and Kevin B. Burdge and Jill Burnham and Richard G. Dekany and Alexander Declacroix and Antony Galla and Tim Greffe and David Hale and Jacob E. Jencson and Ryan M. Lau and Ashish Mahabal and Daniel McKenna and Manasi Sharma and Patrick L. Shopbell and Roger M. Smith and Jamie Soon and Jennifer Sokoloski and Roberto Soria and Tony Travouillon
2019 arXiv   pre-print
Here, we describe the system design, survey operations, data processing system and on-sky performance of Palomar Gattini-IR.  ...  (Abridged) Palomar Gattini-IR is a new wide-field, near-infrared robotic time domain survey operating at Palomar Observatory.  ...  This work has made use of data from the European Space Agency (ESA) mission Gaia (,processed by the Gaia Data Processing and Analysis Consortium (DPAC,  ... 
arXiv:1910.13319v1 fatcat:fflparxy7ncptdredj7s55zmha

Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?

Maximilian Maahn, Fabian Hoffmann, Matthew D. Shupe, Gijs de Boer, Sergey Y. Matrosov, Edward P. Luke
2019 Atmospheric Measurement Techniques  
Here, we investigate whether observations of microphysical processes in liquid clouds such as the transition of cloud droplets to drizzle drops can be used to calibrate cloud radars.  ...  We apply the new methods to observations at the Atmospheric Radiation Measurement (ARM) sites North Slope of Alaska (NSA) and Oliktok Point (OLI) in 2016 using two 35&amp;thinsp;GHz <span class="inline-formula  ...  We acknowledge valuable discussions with Tim Lyons (CU Boulder) and Review statement. This paper was edited by Mark Kulie and reviewed by two anonymous referees.  ... 
doi:10.5194/amt-12-3151-2019 fatcat:daxfobqywnbxpf4ay4w3ci26ku

Deep ISOPHOT far-infrared imaging of M 86

M. Stickel, J. N. Bregman, A. C. Fabian, D. A. White, D. M. Elmegreen
2002 Astronomy and Astrophysics  
Deep far-infrared (FIR) imaging data obtained with ISOPHOT at 60 µm, 90 µm, 150 µm, and 180 µm reveal a complex FIR morphology of the Virgo cluster elliptical M 86 (NGC 4406).  ...  The observational evidence suggests that at least for the overall FIR morphology, gravitational interactions between M 86 and neighboring galaxies are much more important than ram stripping of dust.  ...  This research has made use of NASA's Astrophysics Data System Abstract Service, the Simbad Database, operated at CDS, Strasbourg, France, data from the Infrared Processing and Analysis Center (IPAC) and  ... 
doi:10.1051/0004-6361:20021496 fatcat:h6b2g4kekrcltppy3s5qhin26e

Characterization of shallow oceanic precipitation using profiling and scanning radar observations at the Eastern North Atlantic ARM observatory

Katia Lamer, Bernat Puigdomènech Treserras, Zeen Zhu, Bradley Isom, Nitin Bharadwaj, Pavlos Kollias
2019 Atmospheric Measurement Techniques  
First, the radar systems and measurement post-processing techniques, including sea-clutter removal and calibration against colocated disdrometer and Global Precipitation Mission (GPM) observations are  ...  Then, we present how a combination of profiling radar and lidar observations can be used to estimate adaptive (in both time and height) parameters that relate radar reflectivity (<span class="inline-formula  ...  The authors would like to thank the two anonymous reviewers and Gianfranco Vulpiani for their involvement in the review process. Review statement.  ... 
doi:10.5194/amt-12-4931-2019 fatcat:hp6vhck3z5f3dkpvri22hf7xau

Hardware-Conscious Stream Processing: A Survey [article]

Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns
2020 arXiv   pre-print
Data stream processing systems (DSPSs) enable users to express and run stream applications to continuously process data streams.  ...  Witnessing the recent great achievements in the computer architecture community, researchers and practitioners have investigated the potential of adoption hardware-conscious stream processing by better  ...  This work is supported by a MoE Tier 1 grant (T1 251RES1824) and a MoE Tier 2 grant (MOE2017-T2-1-122) in Singapore.  ... 
arXiv:2001.05667v1 fatcat:hga7siyyzvbavilpxvxjofvtii

Lucky imaging: beyond binary stars [article]

T. D. Staley
2014 arXiv   pre-print
wide range of astronomical imaging purposes at medium sized ground based telescopes.  ...  Furthermore, it has proven potential for producing extremely high resolution imaging when coupled with adaptive optics systems on larger telescopes.  ...  From left to right: myself, LuckyCam, David King and Craig Mackay.  ... 
arXiv:1404.5907v1 fatcat:36oed2nn65aqfo4ipswmjssocu

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management

Luiz F. G. de Assis, Flávio E. A. Horita, Edison P. de Freitas, Jó Ueyama, João de Albuquerque
2018 Sensors  
Our approach, thus, offers a mean to improve near-real-time applications. and unbounded data streams at a rapid rate.  ...  data-stream processing given filtering applications' parameters [18] .  ...  and stream approaches, enable large-scale data processing of near-real-time application through interoperable, external and open storage databases.  ... 
doi:10.3390/s18061689 pmid:29794979 pmcid:PMC6022089 fatcat:dt2g2xdr6fctpankazelfi4xxi

Underwater Acoustic Measurements to Estimate Wind and Rainfall in the Mediterranean Sea

Sara Pensieri, Roberto Bozzano, Jeffrey A. Nystuen, Emmanouil N. Anagnostou, Marios N. Anagnostou, Renzo Bechini
2015 Advances in Meteorology  
The availability of high resolution in situ meteorological data allows improving data processing technique to detect and especially to provide effective estimates of wind and rainfall at sea.  ...  observations at sea.  ...  The sensor records ambient noise with an adaptive sampling strategy based on the detection of wind and different rainfall types (drizzle, rain, and convective rain).  ... 
doi:10.1155/2015/612512 fatcat:wub5mrp56fe77n4mhqekhqgfvy

The ARM Radar Network: At the Leading-edge of Cloud and Precipitation Observations

P. Kollias, N. Bharadwaj, E. E. Clothiaux, K. Lamer, M. Oue, J. Hardin, B. Isom, I. Lindenmaier, A. Matthews, E. P. Luke, S. E. Giangrande, K. Johnson (+3 others)
2019 Bulletin of The American Meteorological Society - (BAMS)  
BAMS capsule The ARM observatories include radars that span a range of frequencies and capabilities to characterize the three-dimensional structure and properties of atmospheric hydrometeors.  ...  We would like to acknowledge Bernat Puigdomènech Treserras (McGill University) for contributing Fig. 7 and Rolanda Jundt (PNNL) and William Gustafson (PNNL) for contributing Fig. 3 .  ...  Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) facility and the Atmospheric System Research (ASR) program.  ... 
doi:10.1175/bams-d-18-0288.1 fatcat:hizfg3mxdzbw5fzie2mqksxfje
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