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Spatially-Adaptive Advection Radar Technique for Precipitation Mosaic Nowcasting

Mario Montopoli, Frank Silvio Marzano, Errico Picciotti, Gianfranco Vulpiani
2012 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The method is based on the spatial segmentation of the reflectivity field and estimated advection field to produce radar reflectivity forecasts and, for this reason, is named Spatially-adaptive Precipitation  ...  A new numerical nowcasting technique to predict the radar reflectivity field at very short term, up to few hours, is presented.  ...  De Sanctis for his strong support in storing and providing radar data. Prof. B. De Berardinis (ISPRA, Italy) and Eng. P. Pagliara (DPC, Italy) are gratefully acknowledged for their support.  ... 
doi:10.1109/jstars.2011.2182506 fatcat:l7ayugm3hrbjlkipbejsmuaovq

Combining weather radar nowcasts and numerical weather prediction models to estimate short-term quantitative precipitation and uncertainty [article]

David Getreuer Jensen
2015 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
Combining weather radar nowcasts and numerical weather prediction models to estimate short-term quantitative precipitation and uncertainty. Aalborg Universitetsforlag. Ph.d.  ...  Combining weather radar nowcasts and numerical weather prediction models to estimate short-term quantitative precipitation and uncertainty Jensen, David Getreuer DOI (link to publication from Publisher  ...  , is the position, is the displacement vector (advection field), is the advection perturbation for ensemble nowcast and is the nowcasted precipitation field for ensemble nowcast .  ... 
doi:10.5278/vbn.phd.engsci.00027 fatcat:vlbuirdb4vaalkcowhbussqyry

Stochastic Spectral Method for Radar-Based Probabilistic Precipitation Nowcasting

Seppo Pulkkinen, V. Chandrasekar, Ari-Matti Harri
2019 Journal of Atmospheric and Oceanic Technology  
It is shown that S-DARTS can produce reliable probabilistic nowcasts in the CASA DFW domain with 250-m spatial resolution up to 45 min for lower precipitation intensities (below 2 mm h 21 ).  ...  The Dynamic and Adaptive Radar Tracking of Storms (DARTS) method was developed as a part of the CASA nowcasting system.  ...  Weather radars are ideal for this purpose because of their high spatial and temporal resolution, for which the typical ranges in operational radar networks are 1-5 km and 5-15 min.  ... 
doi:10.1175/jtech-d-18-0242.1 fatcat:ovcrzohmjjhsjgxgagfixubski

Weather radar and hydrology

Guy Delrieu, Isabelle Braud, Alexis Berne, Marco Borga, Brice Boudevillain, Frédéric Fabry, Jim Freer, Eric Gaume, Eiichi Nakakita, Alan Seed, Pierre Tabary, Remko Uijlenhoet
2009 Advances in Water Resources  
Flahaut Comparison of optical flow algorithms for precipitation field advection estimation 269 Thomas Pfaff & Andras Bardossy Extending a Lagrangian extrapolation forecast technique to account for the  ...  : initial results 117 Peter Speirs & Duncan Robertson Adaptive phased array radar technology for urban hydrological forecasting 123 C.  ... 
doi:10.1016/j.advwatres.2009.03.006 fatcat:2d6jpavkanfrtj63dtvbselrd4

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Seppo Pulkkinen, Daniele Nerini, Andrés A. Pérez Hortal, Carlos Velasco-Forero, Alan Seed, Urs Germann, Loris Foresti
2019 Geoscientific Model Development Discussions  
The first is to provide a modular and well-documented framework for researchers interested in developing new methods for nowcasting and stochastic space-time simulation of precipitation.  ...  </strong> Pysteps is an open-source and community-driven Python library for probabilistic precipitation nowcasting &amp;ndash; that is to say, very-short range forecasting (0&amp;ndash;6&amp;thinsp;h).  ...  The US data set comprises the radar mosaics provided by Warning Decision Support System-Integrated Information (WDSS- II Lakshmanan et al., 2006 , covering the continental United States at a spatial resolution  ... 
doi:10.5194/gmd-2019-94 fatcat:tg74pdcrezah7eji6quljxn3fu

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Seppo Pulkkinen, Daniele Nerini, Andrés A. Pérez Hortal, Carlos Velasco-Forero, Alan Seed, Urs Germann, Loris Foresti
2019 Geoscientific Model Development  
Pysteps is an open-source and community-driven Python library for probabilistic precipitation nowcasting, that is, very-short-range forecasting (0–6 h).  ...  The first is to provide a modular and well-documented framework for researchers interested in developing new methods for nowcasting and stochastic space–time simulation of precipitation.  ...  Loris Foresti and Daniele Nerini were supported by the Swiss National Science Foundation Ambizione project "Precipitation attractor from radar and satellite data archives and implications for seamless  ... 
doi:10.5194/gmd-12-4185-2019 fatcat:ue6nkk6iwvg23jevcyyjeiyyxm

A review of Nowcasting of convective weather over the Indian region

SOMA SEN ROY, M. MOHAPATRA, AJIT TYAGI, S. K. ROY BHOWMIK
2021 Mausam  
This is followed by a discussion of numerical techniques available worldwide for very short range to nowcast scale forecasting of convective weather.  ...  It then discusses the new observation resources that are now becoming available for operational thunderstorm forecasting including the current generation of satellites, Doppler radars, lightning detection  ...  product flow in real time from the radar stations and IMD observatories to the data server at the headquarters as well as and Meteorological Centre In-charges for operationally issuing nowcasts round the  ... 
doi:10.54302/mausam.v70i3.227 fatcat:pmm5zzmuujhmxa4pwmenvnx2x4

A Dynamic and Spatial Scaling Approach to Advection Forecasting

A. W. Seed
2003 Journal of applied meteorology (1988)  
Quantitative nowcasts of rainfall are frequently based on the advection of rain fields observed by weather radar.  ...  Spectral Prognosis (S-PROG) is an advection-based nowcasting system that uses the observations that rain fields commonly exhibit both spatial and dynamic scaling properties, that is, the lifetime of a  ...  While this is a gross approximation for a field that covers a large spatial extent, say a regionalscale mosaic from a radar network, it is still a useful model for data that cover a more limited domain  ... 
doi:10.1175/1520-0450(2003)042<0381:adassa>2.0.co;2 fatcat:jabdbvqot5ecxj5amaamaopn6q

Scale Characterization and Correction of Diurnal Cycle Errors in MAPLE

Aitor Atencia, Isztar Zawadzki, Marc Berenguer
2017 Journal of Applied Meteorology and Climatology  
The most widely used technique for nowcasting of quantitative precipitation in operational and research centers is the Lagrangian extrapolation of the latest radar observations.  ...  In this work, the McGill Algorithm for Precipitation Nowcasting by Lagrangian Extrapolation (MAPLE) errors have been computed for 10 yr of radar composite data over the continental United States.  ...  The authors express their gratitude to the Global Hydrology and Climate Center (GHRC) for providing access to the WSI radar composites data.  ... 
doi:10.1175/jamc-d-16-0344.1 fatcat:uwrnshuhgjcblaafhpkf7lplny

Improving QPE and Very Short Term QPF: An Initiative for a Community-Wide Integrated Approach

Steven V. Vasiloff, Dong-Jun Seo, Kenneth W. Howard, Jian Zhang, David H. Kitzmiller, Mary G. Mullusky, Witold F. Krajewski, Edward A. Brandes, Robert M. Rabin, Daniel S. Berkowitz, Harold E. Brooks, John A. McGinley (+2 others)
2007 Bulletin of The American Meteorological Society - (BAMS)  
Spatial scales range from a few square kilometers or less for urban flash flood prediction,  ...  To meet these needs at the national scale, accurate QPI is needed at various temporal and spatial scales for the entire United States, its territories, and immediate surrounding areas.  ...  Much of the NMQ system has been in operation for over a year, producing national radar reflectivity mosaics and radar-only QPE at the spatial scale of 1 km × 1 km with a 5-min update cycle.  ... 
doi:10.1175/bams-88-12-1899 fatcat:ag6f2447szas5pmn7znlwvblhe

A quantitative comparison of precipitation forecasts between the storm-scale numerical weather prediction model and auto-nowcast system in Jiangsu, China

Gaili Wang, Ji Yang, Dan Wang, Liping Liu
2016 Atmospheric research  
Extrapolation techniques and storm-scale Numerical Weather Prediction (NWP) models are two primary approaches for short-term precipitation forecasts.  ...  The primary objective of this study is to verify precipitation forecasts and compare the performances of two nowcasting schemes: a Beijing Auto-Nowcast system (BJ-ANC) based on extrapolation techniques  ...  The authors would also acknowledge Jiangsu Observatory for providing the datasets used in the study.  ... 
doi:10.1016/j.atmosres.2016.06.004 fatcat:kuj2efpadjbsbb2sgjb2g6yf6a

Automated Processing of Doppler Radar Data for Severe Weather Warnings [chapter]

Paul Joe, Sandy Dance, Valliappa Lakshmanan, Dirk Heizenreder, Paul James, Peter Lang, Thomas Hengstebeck, Yerong Feng, P.W. Li, Hon-Yin Yeung, Osamu Suzuki, Keiji Doi (+1 others)
2012 Doppler Radar Observations - Weather Radar, Wind Profiler, Ionospheric Radar, and Other Advanced Applications  
for radar data and AWS data, generating 3D radar reflectivity mosaic, running algorithm for nowcast products, analyzing observation data and providing message for alerting the forecasters.  ...  It also provides an interactive tool for preparing, editing and issuing Nowcast and warning for severe weathers Based on quality control, a regional 3D reflectivity mosaic is produced by trying to fill  ... 
doi:10.5772/39058 fatcat:cszvbiyxrbcvzndkppodtot4i4

Mosaicking Weather Radar Retrievals from an Operational Heterogeneous Network at C and X Band for Precipitation Monitoring in Italian Central Apennines

Stefano Barbieri, Saverio Di Fabio, Raffaele Lidori, Francesco L. Rossi, Frank S. Marzano, Errico Picciotti
2022 Remote Sensing  
Meteorological radar networks are suited to remotely provide atmospheric precipitation retrieval over a wide geographic area for severe weather monitoring and near-real-time nowcasting.  ...  The considered mosaicking methods can take into account spatial radar-gauge adjustment as well as different spatial combination approaches.  ...  The CRAMS technique, whose general scheme is shown in Figure 4 , is designed to provide the necessary tools to build a complete radar processing chain in a flexible and modular way to adapt to different  ... 
doi:10.3390/rs14020248 fatcat:kpdizbpkkzgszfn4mpzq6a4ghu

An Integrated Display and Analysis Methodology for Multivariable Radar Data

Brenda A. Dolan, Steven A. Rutledge
2007 Journal of Applied Meteorology and Climatology  
radars [Pawnee and CSU-University of Chicago-Illinois State Water Survey (CSU-CHILL)], the software is easily adaptable to any radar platform or network of radars.  ...  Although the method was developed for a specific network of four Doppler radars: two Weather Surveillance Radar-1988 Doppler (WSR-88D) radars (KFTG and KCYS) and two Colorado State University (CSU) research  ...  Kyle Wiens, who developed the foundations of the display and HID software used for this method.  ... 
doi:10.1175/jam2524.1 fatcat:aryxni4vqzh6hf7udziaygvg5y

Recent Advances in Real-Time Pluvial Flash Flood Forecasting

Andre D. L. Zanchetta, Paulin Coulibaly
2020 Water  
For urban environments, in which the need for high-resolution simulations demands computationally expensive systems, query-based approaches have been explored for the timely retrieval of pre-simulated  ...  as assembling approaches for uncertainty estimation.  ...  Further deployments are seen as an essential step towards accurate flash flood monitoring in urban areas, and the use of radar extrapolation techniques for precipitation nowcasting at such a finer scale  ... 
doi:10.3390/w12020570 fatcat:ptpe4crj6jdanntu422iszle7y
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