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Synthetic Signatures of Volcanic Ash Cloud Particles From X-Band Dual-Polarization Radar
2012
IEEE Transactions on Geoscience and Remote Sensing
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An X-band radar system sensitivity analysis to ash concentration, as a function of radar specifications, range, and ash category, is carried out in trying to assess the expected system performances and ...
Weather radar retrieval, in terms of detection, estimation, and sensitivity, of volcanic ash plumes is dependent not only on the radar system specifications but also on the range and ash cloud distribution ...
Hannesen (SelexSI-Gematronik, Germany) for providing the X-band radar technical information, C. M. Riley and W. I. ...
doi:10.1109/tgrs.2011.2159225
fatcat:7khd4mpanvgnpj7ltgpy75lf4m
Inferring microstructure and turbulence properties in rain through observations and simulations of signal spectra measured with Doppler–polarimetric radars
[chapter]
2011
Polarimetric Detection, Characterization and Remote Sensing
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This chapter describes a novel Doppler-polarimetric approach to radar remote sensing. ...
The discussion is adapted to the case of atmospheric remote sensing. A special case of cloud and precipitation observations is considered in greater detail. ...
It was part of a joint project of the International Research Centre for Telecommunications and Radar (IRCTR) at TU-Delft and the National Aviation University in Kyiv. The author is grateful to H. ...
doi:10.1007/978-94-007-1636-0_19
fatcat:6mmv2hkjcjfihi6qt34ycoucoi
THE UNPRECEDENTED RAINS IN VIRGINIA ASSOCIATED WITH THE REMNANTS OF HURRICANE CAMILLE
1970
Monthly Weather Review
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Apparently, in addition t o the very high moisture values, a number of synoptic and mesoscale weather factors operated properly to produce the remarkable rainfall. ...
The rains of this storm are shown t o come within 80 t o 85 percent of the probable maximum precipitation for a duration of 12 hr for areas up t o 1,000 miz. ...
Thus, a rather remote radar may perform a useful function by indicating areas of important convective buildups in spite of uncertainties that exist a t ranges well beyond 100 mi. ...
doi:10.1175/1520-0493(1970)098<0851:turiva>2.3.co;2
fatcat:wplbhjqbhvbxpm47f5wcy6jjn4
Continuous Assimilation of Lightning Data Using Time-Lagged Ensembles for a Convection-Allowing Numerical Weather Prediction Model
2018
Journal of Geophysical Research - Atmospheres
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The increments of the model state variables are computed with the Kalman gain matrices and are continuously ingested into the Weather Research and Forecasting model via nudging terms acting on the prognostic ...
The effect of the lightning data assimilation scheme on convection analysis and forecast was assessed through a case study of a severe convective event, which took place in the Guangdong of China. ...
Acknowledgments This work was supported by the State Grid Corporation of China under the Sciences and Technology Project: SGTYHT/14-JS-188. ...
doi:10.1029/2018jd028494
fatcat:xcjxb7lfzfeqfnredzvi5rqcfi
Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter*
2003
Monthly Weather Review
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Assimilation of Doppler radar data into cloud models is an important obstacle to routine numerical weather prediction for convective-scale motions; the difficulty lies in initializing fields of wind, temperature ...
This paper investigates the potential of the ensemble Kalman filter (EnKF), which estimates the covariances between observed variables and the state through an ensemble of forecasts, to assimilate radar ...
Weather Research Program and by NSF Grant 0205655. ...
doi:10.1175//2555.1
fatcat:7ymd3gx73zay3ar34vxa33jcoy
Discrete Frontal Propagation over the Sierra–Cascade Mountains and Intermountain West
2009
Monthly Weather Review
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Observational analyses and numerical simulations by the Weather Research and Forecast (WRF) Model illustrate that the frontal system propagated discretely across the Sierra-Cascade Mountains and western ...
The eastward migration of the upper-level cyclonic PV anomaly ultimately encourages the development of a new surface-based cold front ahead of the landfalling occlusion as troughing, confluence, and convergence ...
program and contributors, the University of Utah Center for High Performance Computing, the Center for Ocean-Land-Atmosphere Studies, the Department of Atmospheric Science University of Wyoming, Sebastian ...
doi:10.1175/2008mwr2811.1
fatcat:6yu4fe63hbawjksj36hq3xzcoy
Consistency of spatio‐temporal patterns of avian migration across the Swiss lowlands
2019
Remote Sensing in Ecology and Conservation
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While existing weather radar networks offer a unique possibility to monitor and forecast bird migration at large spatial scales, forecasts at the fine spatial scale within a complex terrain, such as the ...
mountainous Swiss landscape, require a small-scale network of ornithological radars. ...
Permits Radar monitoring permitted by the Swiss Federal Office of Communications. ...
doi:10.1002/rse2.143
fatcat:vbmulrqa35f3pawz3auo442ln4
Improvements of Hurricane Forecast with Vortex Initialization using WRF Variational (WRF-Var) Data Assimilation
[chapter]
2011
Recent Hurricane Research - Climate, Dynamics, and Societal Impacts
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− − + −Ο − ∑ = -1 ( x ) xx B xx xy xy. (1) In the equation, x b is background state vector at 0 t , H is observation operator, M is forecast model and y i is observation vector at i t , B is the background ...
Numerical weather forecasting is an initial value problem. The enhanced analyses of vortex structure should provide sufficient detail and accuracy in support of the subsequent intensity forecasting. ...
This book represents recent research on tropical cyclones and their impact, and a wide range of topics are covered. ...
doi:10.5772/13930
fatcat:uxscgd7ky5erlmjt7dgql3nfma
A Four-Dimensional Objective Analysis Scheme and Multitriangle Technique for Wind Profiler Data
1999
Monthly Weather Review
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purpose of diagnosing the kinematic and thermodynamic structure of subsynoptic-scale weather systems. ...
triangle information onto a regular, quasihorizontal grid provides a complementary perspective of their spatial structure and evolution. ...
We wish to thank Joan O'Bannon (NSSL) for assisting with several of the figures, Dave Watson (CSIRO, Perth, Australia) for his assistance with the Delauney triangulation algorithm, NCDC for providing the ...
doi:10.1175/1520-0493(1999)127<0279:afdoas>2.0.co;2
fatcat:dgnuuhl2sveqpnld6kinmf7jw4
An overview of first Doppler Weather Radar inducted in the cyclone detection network of India Meteorological Department
2022
Mausam
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To keep pace with the fast developments in the field of weather radar technology, IMD is gradually replacing its conventional radars with digital radars, a few of them with Doppler capabilities. ...
India Meteorological Department (IMD) maintains a wide network of radars for the detection and study of severe weather phenomena like cyclones, thunderstorms, gust front etc. and for deriving upper air ...
Enthusiastic support extended by the staff and officers of DWR, Chennai is gratefully acknowledged. ...
doi:10.54302/mausam.v55i1.963
fatcat:bpiywqdya5c77eeqpmmfzxofum
Understanding Utah Winter Storms: The Intermountain Precipitation Experiment
2002
Bulletin of The American Meteorological Society - (BAMS)
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A monthly climate and weather summary of Utah prepared by William ...
providing the Doppler on Wheels units and staff, the Radian Corporation for providing the vertically pointing radar and its operation, the staff of the National Weather Service Office in Salt Lake City ...
(Courtesy of Vincent Wood and Rodger Brown, National Severe Storms Laboratory.) FIG. 3. Meridionally averaged (2 arc minutes) elevation (m MSL) along lines (a) ST and (b) XY of Fig. 1b. ...
doi:10.1175/1520-0477(2002)083<0189:uuwsti>2.3.co;2
fatcat:qoyjrxl4czakpex3vfyquuisey
A Neural Network Based System for Efficient Semantic Segmentation of Radar Point Clouds
2021
Neural Processing Letters
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We show that our solutions are effective, yielding superior performance than the state-of-the-art. ...
We introduce RadarPCNN, an architecture specifically designed for performing semantic segmentation on radar point clouds. ...
RadarPCNN proves superior performance to PointNet++, showing state-of-the-art semantic segmentation results on radar data. ...
doi:10.1007/s11063-021-10544-4
fatcat:4mpngv7pfvenlodkcx65almlp4
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression
[article]
2023
arXiv
pre-print
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The superiority of our TempEE has been demonstrated in the context of the classic radar echo extrapolation task, utilizing a real-world dataset. ...
It can facilitate accurate and expeditious forecasting of short-term heavy rainfall bypassing the need for complex Numerical Weather Prediction (NWP) models. ...
Our goal is to achieve state-of-the-art performance while keeping computational costs to a minimum.
III. ...
arXiv:2304.14131v1
fatcat:jtqhykhdy5gdhpp6iozuuysbuy
The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam
2016
Hydrology and Earth System Sciences Discussions
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A growing number of automatic personal weather stations (PWSs) link rainfall measurements to online platforms. ...
A double mass comparison with gauge-adjusted radar data shows that the median of the stations resembles the rainfall reference better than the real-time available (unadjusted) radar product. ...
This research was performed as part of the RainSense project, funded by the Amsterdam Institute for Advanced Metropolitan Solutions (AMS) and the SMART city project (project no. 13760) funded by Netherlands ...
doi:10.5194/hess-2016-505
fatcat:ihmyeeurk5eevf5msiwfon7kje
The potential of urban rainfall monitoring with crowdsourced automatic weather stations in Amsterdam
2017
Hydrology and Earth System Sciences
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A growing number of automatic personal weather stations (PWSs) link rainfall measurements to online platforms. ...
A double mass comparison with gauge-adjusted radar data shows that the median of the stations resembles the rainfall reference better than the real-time (unadjusted) radar product. ...
This research was performed as part of the RainSense project, funded by the Amsterdam Institute for Advanced Metropolitan Solutions (AMS) and the SMART city project (project no. 13760) funded by Netherlands ...
doi:10.5194/hess-21-765-2017
fatcat:gr5hkuylyrfwbei3wcs43kkbcy
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