Nowcasting Challenges During the Beijing Olympics: Successes, Failures, and Implications for Future Nowcasting Systems
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The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review
remote sensing Review The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review ZbynˇekSokol 1 , Jan Szturc 2,* , Johanna Orellana-Alvear 3,4 , Jana Popová 1,5 , Anna Jurczyk 2 and Rolando Célleri 3 1 Institute of Atmospheric Physics of the Czech Academy of Sciences, Bocni II, 141 00 Praha 4, Czech Republic; [email protected] (Z.S.); [email protected] (J.P.) 2 Institute of Meteorology and Water Management—National Research Institute, PL 01-673 Warsaw, Poland; [email protected] 3 Departamento de Recursos Hídricos y Ciencias Ambientales and Facultad de Ingeniería, Universidad de Cuenca, Cuenca EC10207, Ecuador; [email protected] (J.O.-A.); [email protected] (R.C.) 4 Laboratory for Climatology and Remote Sensing (LCRS), Faculty of Geography, University of Marburg, D-035032 Marburg, Germany 5 Faculty of Science, Charles University, Albertov 6, 128 00 Praha 2, Czech Republic * Correspondence: [email protected] Abstract: Radar-based rainfall information has been widely used in hydrological and meteorological applications, as it provides data with a high spatial and temporal resolution that improve rainfall representation. However, the broad diversity of studies makes it difficult to gather a condensed overview of the usefulness and limitations of radar technology and its application in particular situations. In this paper, a comprehensive review through a categorization of radar-related topics Citation: Sokol, Z.; Szturc, J.; aims to provide a general picture of the current state of radar research. First, the importance and Orellana-Alvear, J.; Popová, J.; Jurczyk, A.; Célleri, R. -
Nowcasting Thunderstorms: a Status Report
Nowcasting Thunderstorms: A Status Report James W. Wilson, N. Andrew Crook, Cynthia K. Mueller, Juanzhen Sun, and Michael Dixon National Center for Atmospheric Research,* Boulder, Colorado ABSTRACT This paper reviews the status of forecasting convective precipitation for time periods less than a few hours (nowcasting). Techniques for nowcasting thunderstorm location were developed in the 1960s and 1970s by extrapolat- ing radar echoes. The accuracy of these forecasts generally decreases very rapidly during the first 30 min because of the very short lifetime of individual convective cells. Fortunately more organized features like squall lines and supercells can be successfully extrapolated for longer time periods. Physical processes that dictate the initiation and dissipation of convective storms are not necessarily observable in the past history of a particular echo development; rather, they are often controlled by boundary layer convergence features, environmental vertical wind shear, and buoyancy. Thus, suc- cessful forecasts of storm initiation depend on accurate specification of the initial thermodynamic and kinematic fields with particular attention to convergence lines. For these reasons the ability to improve on simple extrapolation tech- niques had stagnated until the present national observational network modernization program. The ability to observe small-scale boundary layer convergence lines is now possible with operational Doppler radars and satellite imagery. In addition, it has been demonstrated that high-resolution wind retrievals can be obtained from single Doppler radar. Two methods are presently under development for using these modern datasets to forecast thunderstorm evolution: knowledge- based expert systems and numerical forecasting models that are initialized with radar data. Both these methods are very promising and progressing rapidly. -
DISSERTATION NOWCASTING for a HIGH-RESOLUTION WEATHER RADAR NETWORK Submitted by Evan Ruzanski Department of Electrical and Comp
DISSERTATION NOWCASTING FOR A HIGH-RESOLUTION WEATHER RADAR NETWORK Submitted by Evan Ruzanski Department of Electrical and Computer Engineering In partial fulfillment of the requirements for the Degree of Doctor of Philosophy Colorado State University Fort Collins, Colorado Fall 2010 Doctoral Committee: Department chair: Anthony Maciejewski Advisor: V. Chandrasekar Anura Jayasumana Paul Mielke Branislav Notaros Copyright by Evan Ruzanski 2010 All rights reserved ABSTRACT NOWCASTING FOR A HIGH-RESOLUTION WEATHER RADAR NETWORK Short-term prediction (nowcasting) of high-impact weather events can lead to significant improvement in warnings and advisories and is of great practical importance. Nowcasting using weather radar reflectivity data has been shown to be particularly useful. The Collaborative Adaptive Sensing of the Atmosphere (CASA) radar network provides high-resolution reflectivity data amenable to producing valuable nowcasts. The high- resolution nature of CASA data requires the use of an efficient nowcasting approach, which necessitated the development of the Dynamic Adaptive Radar Tracking of Storms (DARTS) and sinc kernel-based advection nowcasting methodology. This methodology was implemented operationally in the CASA Distributed Collaborative Adaptive Sensing (DCAS) system in a robust and efficient manner necessitated by the high-resolution nature of CASA data and distributed nature of the environment in which the nowcasting system operates. Nowcasts up to 10 min to support emergency manager decision-making and 1–5 min to steer the CASA radar nodes to better observe the advecting storm patterns for forecasters and researchers are currently provided by this system. Results of nowcasting performance during the 2009 CASA IP experiment are presented. Additionally, currently state-of-the-art scale-based filtering methods were adapted and evaluated for use in the CASA DCAS to provide a scale-based analysis of nowcasting. -
Microburst Nowcasting Applications of GOES
Microburst Nowcasting Applications of GOES KENNETH L. PRYOR Center for Satellite Applications and Research (NOAA/NESDIS), Camp Springs, MD ABSTRACT Recent testing and validation have found that the Geostationary Operational Environmental Satellite (GOES) microburst products are effective in the assessment and short-term forecasting of downburst potential and associated wind gust magnitude. Two products, the GOES sounder Microburst Windspeed Potential Index (MWPI) and a new bi-spectral GOES imager brightness temperature difference (BTD) product have demonstrated capability in downburst potential evaluation. A comparison study between the GOES Convective Overshooting Top (OT) Detection and MWPI algorithms has been completed for cases that occurred during the 2007 to 2009 convective seasons over the southern Great Plains. Favorable results of the comparison study include a statistically significant negative correlation between the OT minimum temperature and MWPI values and associated measured downburst wind gust magnitude. The negative functional relationship between the OT parameters and wind gust speed highlights the importance of updraft strength, realized by large convective available potential energy (CAPE), in the generation of heavy precipitation and subsequent intense convective downdraft generation. This paper provides an updated assessment of the GOES MWPI and GOES BTD algorithms, presents case studies demonstrating effective operational use of the microburst products, and presents results of a cross comparison study of the GOES-R overshooting top (OT) detection algorithm over the United States Great Plains region. _______________ 1. Introduction and Background A suite of products has been developed and evaluated to assess hazards presented by convective downbursts (Fujita 1985, Wakimoto 1985) derived from the current generation of Geostationary Operational Environmental Satellite (GOES-11 to 13). -
Guidelines for Nowcasting Techniques
Guidelines for Nowcasting Techniques 2017 edition WEATHER CLIMATE WATER CLIMATE WEATHER WMO-No. 1198 Guidelines for Nowcasting Techniques 2017 edition WMO-No. 1198 EDITORIAL NOTE METEOTERM, the WMO terminology database, may be consulted at http://public.wmo.int/en/ resources/meteoterm. Readers who copy hyperlinks by selecting them in the text should be aware that additional spaces may appear immediately following http://, https://, ftp://, mailto:, and after slashes (/), dashes (-), periods (.) and unbroken sequences of characters (letters and numbers). These spaces should be removed from the pasted URL. The correct URL is displayed when hovering over the link or when clicking on the link and then copying it from the browser. WMO-No. 1198 © World Meteorological Organization, 2017 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 81 17 CH-1211 Geneva 2, Switzerland Email: [email protected] ISBN 978-92-63-11198-2 NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
Quantitative Precipitation Forecasts Based on Radar Observations: Principles, Algorithms and Operational Systems
Koninklijk Meteorologisch Instituut van Belgie¨ Institut Royal Met´ eorologique´ de Belgique Royal Meteorological Institute of Belgium Quantitative Precipitation Forecasts based on radar observations: principles, algorithms and operational systems dr. Maarten Reyniers 2008 Wetenschappelijke en Publication scientifique technische publicatie et technique Nr 52 No 52 Uitgegeven door het Edite´ par KONINKLIJK METEOROLOGISCH L’INSTITUT ROYAL METEOROLOGIQUE INSTITUUT VAN BELGIE DE BELGIQUE Ringlaan 3, B-1180 Brussel Avenue Circulaire 3, B-1180 Bruxelles Verantwoordelijke uitgever: Dr. H. Malcorps Editeur responsable: Dr. H. Malcorps Quantitative Precipitation Forecasts based on radar observations: principles, algorithms and operational systems dr. Maarten Reyniers Scientific committee: dr. ir. Steven Dewitte dr. ir. David Dehenauw dr. ir. Laurent Delobbe dr. Alex Deckmyn 2008/0224/52 Koninklijk Meteorologisch Instituut van Belgie¨ Institut Royal Met´ eorologique´ de Belgique CONTENTS Contents 1 Introduction 5 2 QPF principles 9 2.1 Lagrangian persistence . 9 2.2 Area tracking . 10 2.3 Cell tracking . 10 2.4 Spectral algorithms . 11 2.5 Expert systems . 13 3 QPF algorithms 15 3.1 Cell tracking algorithms . 15 3.1.1 TITAN (3D) ................................... 15 3.1.2 SCIT (3D) .................................... 16 3.1.3 TRACE3D (3D) ................................. 17 3.1.4 CELLTRACK (2D MAX field) ......................... 18 3.1.5 TRT (2D MAX field) .............................. 19 3.2 Area tracking algorithms . 20 3.2.1 TREC and COTREC . 20 3.2.2 VET (MAPLE) . 21 4 Operational and research QPF systems 23 4.1 AMV system – Finland . 23 4.2 ANC Auto Nowcast system – U.S.A. 24 4.3 CARDS – Canada . 25 4.4 Czech system . 26 4.5 GANDOLF – U.K. -
Implementation of a Nowcasting Hydrometeorological System for Studying Flash Flood Events: the Case of Mandra, Greece
remote sensing Article Implementation of a Nowcasting Hydrometeorological System for Studying Flash Flood Events: The Case of Mandra, Greece Christos Spyrou 1 , George Varlas 2 , Aikaterini Pappa 1, Angeliki Mentzafou 2 , Petros Katsafados 1,* , Anastasios Papadopoulos 2 , Marios N. Anagnostou 3 and John Kalogiros 3 1 Department of Geography, Harokopio University of Athens (HUA), El. Venizelou Str. 70, 17671 Athens, Greece; [email protected] (C.S.); [email protected] (A.P.) 2 Institute of Marine Biological Resources and Inland Waters, Hellenic Centre for Marine Research (HCMR), 46.7 Km Athens-Sounio Av., 19013 Anavyssos, Greece; [email protected] (G.V.); [email protected] (A.M.); [email protected] (A.P.) 3 National Observatory of Athens, IERSD, 15236 Athens, Greece; [email protected] (M.N.A.); [email protected] (J.K.) * Correspondence: [email protected]; Tel.: +30-210-954-9384 Received: 1 July 2020; Accepted: 23 August 2020; Published: 27 August 2020 Abstract: Severe hydrometeorological hazards such as floods, droughts, and thunderstorms are expected to increase in the future due to climate change. Due to the significant impacts of these phenomena, it is essential to develop new and advanced early warning systems for advance preparation of the population and local authorities (civil protection, government agencies, etc.). Therefore, reliable forecasts of extreme events, with high spatial and temporal resolution and a very short time horizon are needed, due to the very fast development and localized nature of these events. In very short time-periods (up to 6 h), small-scale phenomena can be described accurately by adopting a “nowcasting” approach, providing reliable short-term forecasts and warnings. -
Short-Term Precipitation Nowcasting for Composite Radar Rainfall Fields by Matthew P
Short-Term Precipitation Nowcasting for Composite Radar Rainfall Fields by Matthew P. Van Horne B.S., Massachusetts Institute of Technology (2002) Submitted to the Department of Civil and Environmental Engineering in partial fulfillment of the requirements for the degree of Master of Science in Civil and Environmental Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2003 c Massachusetts Institute of Technology 2003. All rights reserved. Author.............................................................. Department of Civil and Environmental Engineering August 15, 2003 Certified by. Dara Entekhabi Professor of Civil and Environmental Engineering Thesis Supervisor Accepted by . Heidi Nepf Chairman, Departmental Committee on Graduate Students 2 Short-Term Precipitation Nowcasting for Composite Radar Rainfall Fields by Matthew P. Van Horne Submitted to the Department of Civil and Environmental Engineering on August 15, 2003, in partial fulfillment of the requirements for the degree of Master of Science in Civil and Environmental Engineering Abstract Precipitation nowcasting at very short lead times is a difficult and important earth science goal. The implications of nowcasting extend into aviation, flood forecasting and other areas. Using correlation analysis for the generation of velocity vectors to advect a composite radar rainfall field is the method of nowcasting utilized in this work. The MIT Lincoln Laboratory Growth and Decay Storm Tracker (GDST) is a correlation-based nowcasting algorithm that utilizes spatial filtering to eliminate the potentially adverse effects of transient, small-scale rainfall features in the correlation step. The GDST is used in this work to evaluate the benefits of image filtering as compared to a situation where the filtering is absent. The GDST generates a spatially variable velocity field for input rainfall field advection.