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Combined Radar Quality Index for Quantitative Precipitation Estimation of Heavy Rainfall Events

Yang Zhang, Liping Liu, Hao Wen, Benchao Yu, Huiying Wang, Yong Zhang
2022 Remote Sensing  
For quantitative precipitation estimation (QPE) based on polarimetric radar (PR) and rain gauges (RGs), the quality of the radar data is crucial for estimation accuracy.  ...  This paper proposes a combined radar quality index (CRQI) to represent the quality of the radar data used for QPE and an algorithm that uses CRQI to improve the QPE performance.  ...  To reduce the influence of poor-quality radar data on QPE, Zhang et al. [6] used a radar quality index to help combine radar, RG, and orographic precipitation climatology.  ... 
doi:10.3390/rs14133154 fatcat:x5tytt25wrfnxg7ujo4ibm7psq

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  
management Tanja Winterrath, Wolfgang Rosenow & Elmar Weigl 360 Katarzyna Osrodka j 4 Uncertainty Estimation Radar Quality Index (RQI) -a combined measure for beam blockage and VPR effects in  ...  Impact of quality control of 3-D radar reflectivity data on surface precipitation 207 estimation Katarzyna Osrodka, Jan Szturc & Anna Jurczyk xi Real-time adjustment of radar data for water management  ... 
doi:10.1016/j.advwatres.2009.03.006 fatcat:2d6jpavkanfrtj63dtvbselrd4

Quality-Based Combination of Multi-Source Precipitation Data

Anna Jurczyk, Jan Szturc, Irena Otop, Katarzyna Ośródka, Piotr Struzik
2020 Remote Sensing  
A quantitative precipitation estimate (QPE) provides basic information for the modelling of many kinds of hydro-meteorological processes, e.g., as input to rainfall-runoff models for flash flood forecasting  ...  Therefore, a combination of the data should be based on quality information quantitatively determined for each input to take advantage of a particular source of precipitation measurement.  ...  For heavy rain connected with convective events, the reliability of the multi-source combination, expressed by quality metrics, outperforms reliabilities of all particular inputs, regardless of their QIs  ... 
doi:10.3390/rs12111709 fatcat:vf3qat6w5bfzlgiarzsaarqlfe

The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review

Zbyněk Sokol, Jan Szturc, Johanna Orellana-Alvear, Jana Popová, Anna Jurczyk, Rolando Célleri
2021 Remote Sensing  
First, the importance and impact of the high temporal resolution of weather radar is discussed, followed by the description of quantitative precipitation estimation strategies.  ...  Afterwards, the use of radar data in rainfall nowcasting as well as its role in preparation of initial conditions for numerical weather predictions by assimilation is reviewed.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13030351 fatcat:m7lopvd2hzcnbcwnsfo3bwyhgy

An approach to combine radar and gauge based rainfall data under consideration of their qualities in low mountain ranges of Saxony

N. Jatho, T. Pluntke, C. Kurbjuhn, C. Bernhofer
2010 Natural Hazards and Earth System Sciences  
The aim of the tool is to provide accurate spatial rainfall estimates. The results can be used for rainfall run-off modelling, e.g. in a flood management system.  ...  Objective combination of various precipitation and quality fields is realised using a cost function.  ...  This research is part of the project "Determination of extreme rainfall for small and medium size catchment basins at low mountain ranges in real time with increased redundancy (EXTRA)".  ... 
doi:10.5194/nhess-10-429-2010 fatcat:kppit3r76rggzjoazxgrweoo2i

Comparison between 3D-Var and 4D-Var data assimilation methods for the simulation of a heavy rainfall case in central Italy

Vincenzo Mazzarella, Ida Maiello, Vincenzo Capozzi, Giorgio Budillon, Rossella Ferretti
2017 Advances in Science and Research  
To evaluate the impact of the assimilation of reflectivity and radial velocity acquired from Monte Midia Doppler radar into the Weather Research Forecasting (WRF) model, the quantitative precipitation  ...  <br><br>The two methods are compared for a heavy rainfall event that occurred in central Italy on 14 September 2012 during the first Special Observation Period (SOP1) of the HyMeX (HYdrological cycle in  ...  To pursue this aim, nine simulations are carried out for a heavy rainfall event occurred in central Italy on 14 September 2012.  ... 
doi:10.5194/asr-14-271-2017 fatcat:6j4os6iqjrhlvd4xfaq5fnbzqq

Performance of a Radar Mosaic Quantitative Precipitation Estimation Algorithm Based on a New Data Quality Index for the Chinese Polarimetric Radars

Yang Zhang, Liping Liu, Hao Wen
2020 Remote Sensing  
In particular, before radar mosaic and quantitative precipitation estimation (QPE) can be conducted, it is necessary to know the quality of polarimetric parameters.  ...  The quality of radar data is crucial for its application.  ...  However, the performance of R(A) is unstable for Guangzhou radar when estimating precipitation during rainfall events with hourly accumulations below 50 mm [12] .  ... 
doi:10.3390/rs12213557 fatcat:ramzpel7gzfqvczmnfie267rbq

Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation

Jing Ren, Yong Huang, Li Guan, Jie Zhou
2017 Advances in Meteorology  
We discuss two different integration methods for radar-based quantitative precipitation estimation (QPE): the echo intensity integral and the rain intensity integral.  ...  When both the integration scheme and real radar data were used to estimate cumulative precipitation for one day, their spatial distributions were similar.  ...  The rain intensity integral usually underestimates the precipitation for heavy rainfall events, so application of the integral method of echo intensity can increase the estimated rainfall in the case of  ... 
doi:10.1155/2017/1269748 fatcat:bb6fw5jrnrgnlpt6ps36ti32xy

Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil

Lia Martins Costa do Amaral, Stefano Barbieri, Daniel Vila, Silvia Puca, Gianfranco Vulpiani, Giulia Panegrossi, Thiago Biscaro, Paolo Sanò, Marco Petracca, Anna Marra, Marielle Gosset, Stefano Dietrich
2018 Remote Sensing  
Firstly, the radar data was treated with an overall quality index which includes corrections for different error sources like ground clutter, range distance, rain-induced attenuation, among others.  ...  data and verify the quality of EUMETSAT H-SAF operational passive microwave precipitation products in two regions of Brazil (Vale do Paraíba and Manaus).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10111743 fatcat:urk6v4hucjekthc7eyj6shtgwi

A Real-Time Algorithm for Merging Radar QPEs with Rain Gauge Observations and Orographic Precipitation Climatology

Jian Zhang, Youcun Qi, Carrie Langston, Brian Kaney, Kenneth Howard
2014 Journal of Hydrometeorology  
Acknowledgment Major funding for this research was provided under NOAA's Hydro-Meteorological Testbed (HMT) program and partial funding was provided under NOAA-University of Oklahoma Cooperative AgreementNA17RJ1227  ...  Introduction High-resolution, accurate real-time quantitative precipitation estimates (QPEs) are one of the most important inputs for hydrological predictions and for flood warnings.  ...  The algorithm was tested on several heavy precipitation events in different areas of the United States and the two typical events are presented herein.  ... 
doi:10.1175/jhm-d-13-0163.1 fatcat:lstwvm25bjba3el3xylfcxl5hi

Improved Radar Composites and Enhanced Value of Meteorological Radar Data Using Different Quality Indices

Ladislav Méri, Ladislav Gaál, Juraj Bartok, Martin Gažák, Martin Gera, Marián Jurašek, Miroslav Kelemen
2021 Sustainability  
At the same time, the advantages of the qPrec software are manifested through improved quantitative precipitation estimation, which can be translated into hydrological modeling or climatological precipitation  ...  The qRad package estimates the true quality of the C-band radar volume data using various quality indices and attempts to correct some of the adverse effects on the measurements.  ...  Rainfall Mapping The qPrec software for quantitative precipitation estimation was developed in an iterative approach.  ... 
doi:10.3390/su13095285 fatcat:vnkbdnjf7fgg3j4mtg5gja467i

Quantitative Precipitation Estimation by Combining Rain gauge and Meteorological Radar Network in Viet Nam

Chiho Kimpara, Michihiko Tonouchi, Bui Thi Khanh Hoa, Nguyen Viet Hung, Nguyen Minh Cuong, Kenji Akaeda
2020 Vietnam Journal of Hydrometeorology  
Real-time monitoring of quantitative precipitation distribution is essential to prevent natural disasters caused by heavy rainfall.  ...  In order to get the accurate quantitative precipitation estimation (QPE) data, converted precipitation amount from radar should be corrected by rain gauge data.  ...  Thanks are extended to Nguyen Quang Vinh of the Aero Meteorological Observatory for his technical support to various radar analysis.  ... 
doi:10.36335/vnjhm.2020(5).36-50 fatcat:civykuadkfahznd7jjxg4yckze

How Well Can Global Precipitation Measurement (GPM) Capture Hurricanes? Case Study: Hurricane Harvey

Ehsan Omranian, Hatim Sharif, Ahmad Tavakoly
2018 Remote Sensing  
Hourly gridded rainfall estimates by ground radar (4 × 4 km) were used as a reference dataset. Basic and probabilistic statistical indices of the satellite rainfall products were examined.  ...  In this study, the ability of recent Integrated Multi-satellitE Retrievals for Global Precipitation Mission (GPM-IMERG) final-run product to capture the magnitudes and spatial (0.1° × 0.1°)/temporal (hourly  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10071150 fatcat:ocw4byqnfvaytg2in5p3ykyvwa

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  
uniform rainfall estimation accuracy over the area of interest.  ...  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 latter is expressed as a quantitative quality index, subjectively identified by the combination of several indicators and applied to each cell of the radar scan volume.  ... 
doi:10.3390/rs14020248 fatcat:kpdizbpkkzgszfn4mpzq6a4ghu

Precipitation Rate Estimates from Satellite Infrared Imagery: A New PERSIANN Model

Phu Nguyen, Eric J. Shearer, Mohammed Ombadi, Vesta Afzali Gorooh, Kuolin Hsu, Soroosh Sorooshian, William S. Logan, Marty Ralph
2020 Bulletin of The American Meteorological Society - (BAMS)  
Over the last two decades, a number of widely used products estimate quantitative precipitation by combining information from various satellite sensors.  ...  Some products combine other precipitation-estimating algorithms, such as the Integrated Multisatellite Retrievals for GPM (Global Precipitation Management; IMERG).  ...  The physical complexity of the precipitation process and ability to estimate the rates and amounts reaching the ground is no trivial matter. BAMS: What's next?  ... 
doi:10.1175/bams-d-19-0118.a fatcat:hdybameetzhfhkqasslaucwxcq
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