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Secondary Ice Production upon Freezing of Freely Falling Drizzle Droplets
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
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]
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. ...
At 5× scaling, 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
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
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
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]
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 (https://www.cosmos.esa.int/gaia),processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int ...
arXiv:1910.13319v1
fatcat:fflparxy7ncptdredj7s55zmha
Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?
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&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
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
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]
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]
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
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
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
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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