79 results on '"Merhala Thurai"'
Search Results
2. Drop Size Distribution Retrievals for Light Rain and Drizzle from S-Band Polarimetric Radars
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Merhala Thurai, Viswanathan Bringi, David Wolff, David Marks, Charanjit Pabla, and Patrick Kennedy
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- 2022
3. Improved Precipitation Typing Using POSS Spectral Modal Analysis
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Peter Rodriguez, Patrick C. Kennedy, David Hudak, Merhala Thurai, and Brian E. Sheppard
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Atmospheric Science ,Materials science ,Modal analysis ,Mineralogy ,Ocean Engineering ,Typing ,Precipitation - Abstract
The Precipitation Occurrence Sensor System (POSS) is a small X-band Doppler radar that measures the Doppler velocity spectra from precipitation falling in a small volume near the sensor. The sensor records a 2D frequency of occurrence matrix of the velocity and power at the mode of each spectrum measured over 1 min. The centroid of the distribution of these modes, along with other spectral parameters, defines a data vector input to a multiple discriminant analysis (MDA) for classification of the precipitation type. This requires the a priori determination of a training set for different types, particle size distributions (PSDs), and wind speed conditions. A software model combines POSS system parameters, a particle scattering cross section, and terminal velocity models, to simulate the real-time Doppler signal measured by the system for different PSDs and wind speeds. This is processed in the same manner as the system hardware to produce bootstrap samples of the modal centroid distributions for the MDA training set. MDA results are compared to images from the Multi-Angle Snowflake Camera (MASC) at the MASCRAD site near Easton, Colorado, and to the CSU–CHILL X-band radar observations from Greeley, Colorado. In the four case studies presented, POSS successfully identified precipitation transitions through a range of types (rain, graupel, rimed dendrites, aggregates, unrimed dendrites). Also two separate events of hail were reported and confirmed by the images.
- Published
- 2021
4. The Retrieval of Drop Size Distribution Parameters Using a Dual-Polarimetric Radar
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GyuWon Lee, Viswanathan Bringi, and Merhala Thurai
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General Earth and Planetary Sciences - Abstract
The raindrop size distribution (DSD) is vital for applications such as quantitative precipitation estimation, understanding microphysical processes, and validation/improvement of two-moment bulk microphysical schemes. We trace the history of the DSD representation and its linkage to polarimetric radar observables from functional forms (exponential, gamma, and generalized gamma models) and its normalization (un-normalized, single/double-moment scaling normalized). The four-parameter generalized gamma model is a good candidate for the optimal representation of the DSD variability. A radar-based disdrometer was found to describe the five archetypical shapes (from Montreal, Canada) consisting of drizzle, the larger precipitation drops and the ‘S’-shaped curvature that occurs frequently in between the drizzle and the larger-sized precipitation. Similar ‘S’-shaped DSDs were reproduced by combining the disdrometric measurements of small-sized drops from an optical array probe and large-sized drops from 2DVD. A unified theory based on the double-moment scaling normalization is described. The theory assumes the multiple power law among moments and DSDs are scaling normalized by the two characteristic parameters which are expressed as a combination of any two moments. The normalized DSDs are remarkably stable. Thus, the mean underlying shape is fitted to the generalized gamma model from which the ‘optimized’ two shape parameters are obtained. The other moments of the distribution are obtained as the product of power laws of the reference moments M3 and M6 along with the two shape parameters. These reference moments can be from dual-polarimetric measurements: M6 from the attenuation-corrected reflectivity and M3 from attenuation-corrected differential reflectivity and the specific differential propagation phase. Thus, all the moments of the distribution can be calculated, and the microphysical evolution of the DSD can be inferred. This is one of the major findings of this article.
- Published
- 2023
5. Drop-by-Drop Radar Cross Section Calculations for Sand C-band Weather Radar Frequencies
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Franz Teschl, Merhala Thurai, Sophie Steger, and Michael Schonhuber
- Published
- 2022
6. Variability of raindrop size distribution as characterized by the generalized gamma formulation
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V. N. Bringi, Patrick Gatlin, Elisa Adirosi, Federico Lombardo, and Merhala Thurai
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Normalization (statistics) ,Modal ,Distribution (mathematics) ,Environmental science ,Statistical physics ,Tropical cyclone ,Rainband ,Stability (probability) ,Spectral line ,Event (probability theory) - Abstract
Advantages of using the generalized gamma (GG) model to represent raindrop size distribution (DSD) are discussed, especially when near-complete DSD spectra are considered. Measurements from three climatically different locations in the United States are used. The central approach is the use of double-moment normalization of the measured DSDs using two reference moments, together with an underlying or intrinsic shape, h(x), based on two shape parameters. Stability of h(x) is examined and illustrative examples are presented. It is shown that the modal GG-fitted h(x) representing semiarid and subtropical regimes (combined) provides equally good fits to those from outer rain bands (after landfall) of a Hurricane, a tropical storm, and a tropical depression event. We also show similarities with some recent studies which had used GG model and address the goodness-of-fit aspects of the model, especially when compared with the (much) more widely used standard gamma model. Finally, some applications of the modal GG-fitted h(x) in remote sensing and numerical modeling of microphysical processes are briefly considered.
- Published
- 2022
7. List of contributors
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Elisa Adirosi, Pier Paolo Alberoni, Emmanouil N. Anagnostou, Marios Anagnostou, Marios N. Anagnostou, Alessandro Battaglia, James Beauchamp, Thiago Souza Biscaro, Bogdan Bochenek, Erik Borg, Stephan Borrmann, V.N. Bringi, Luca Brocca, Andrea Camplani, Daniele Casella, Arianna Cauteruccio, Micael Amore Cecchini, Daniel Cecil, Ying-Wen Chen, Leo Pio D’Adderio, Karoline Diehl, Peter Dietrich, Stefano Dietrich, Stefano Federico, Thomas Gastaldo, Patrick N. Gatlin, Yasutaka Ikuta, Anna Jurczyk, Eugenia Kalnay, John Kalogiros, Kaya Kanemaru, Petros Katsafados, Dimitrios Katsanos, Chris Kidd, Christian Klepp, Keiichi Kondo, Shunji Kotsuki, Paul A. Kucera, Luca G. Lanza, Guo-Yuan Lien, Joanna Linkowska, Federico Lombardo, Viviana Maggioni, Agostino Manzato, Christian Massari, Toshihisa Matsui, Enrique Vieira Mattos, Paola Mazzoglio, Angeliki Mentzafou, Andrés Merino, Silas Michaelides, Subir Kumar Mitra, Takemasa Miyoshi, Mona Morsy, Kamil Mroz, Andrés Navarro, Jeffrey A. Nystuen, Kozo Okamoto, Rômulo Augusto Jucá Oliveira, Irena Otop, Shigenori Otsuka, Katarzyna Ośródka, Tiziana Paccagnella, Giulia Panegrossi, Anastasios Papadopoulos, Aikaterini Pappa, Magdalena Pasierb, Virginia Poli, Federico Porcù, Khalil Ur Rahman, Adrianos Retalis, Sarah Ringerud, Paolo Sanò, Mathew Raymond Paul Sapiano, Masaki Satoh, Thomas Scholten, Songhao Shang, Ehsan Sharifi, Youssef Sherief, Christos Spyrou, Miklós Szakáll, Jan Szturc, Koji Terasaki, Alexander Theis, Merhala Thurai, Ali Tokay, Hirofumi Tomita, Rosa Claudia Torcasio, Filippos Tymvios, George Varlas, Daniel Alejandro Vila, Gianfranco Vulpiani, Nai-Yu Wang, Jun-Ichi Yano, and Hisashi Yashiro
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- 2022
8. Separation of Stratiform and Convective Rain Types Using Data from an S-Band Polarimetric Radar: A Case Study Comparing Two Different Methods
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David B. Wolff, V. N. Bringi, Charanjit Pabla, Merhala Thurai, and David A. Marks
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Convection ,Pixel ,law ,Line (geometry) ,Polarimetry ,Spatial variability ,S band ,Radar ,Image resolution ,Geology ,Remote sensing ,law.invention - Abstract
Data from an S-band polarimetric radar located at a mid-latitude, coastal location are used to compare two different methods for identifying stratiform and convective rain regions. The first method entails the retrievals of two (main) parameters of the rain drop size distributions using the radar reflectivity and the differential reflectivity. The second technique is a well-known texture-based method which utilizes the radar reflectivity and its spatial variability. A widespread event with embedded line convection was used as a test case. The two methods were compared using 500 m by 500 m pixel resolution gridded data constructed from the radar volume scans. Only 12% of the pixels showed disagreement between the two methods.
- Published
- 2021
9. Measurements of Rainfall Rate, Drop Size Distribution, and Variability at Middle and Higher Latitudes: Application to the Combined DPR-GMI Algorithm
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Merhala Thurai, Christian Klepp, V. N. Bringi, Mircea Grecu, and Alain Protat
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Normalization (statistics) ,010504 meteorology & atmospheric sciences ,Science ,scattering at Ku and Ka-bands ,010501 environmental sciences ,01 natural sciences ,raindrop size distributions ,GPM-DPR-combined algorithms ,Latitude ,law.invention ,Disdrometer ,law ,Lookup table ,General Earth and Planetary Sciences ,Satellite ,Precipitation ,Radar ,Global Precipitation Measurement ,Algorithm ,0105 earth and related environmental sciences - Abstract
The Global Precipitation Measurement mission is a major U.S.–Japan joint mission to understand the physics of the Earth’s global precipitation as a key component of its weather, climate, and hydrological systems. The core satellite carries a dual-precipitation radar and an advanced microwave imager which provide measurements to retrieve the drop size distribution (DSD) and rain rates using a Combined Radar-Radiometer Algorithm (CORRA). Our objective is to validate key assumptions and parameterizations in CORRA and enable improved estimation of precipitation products, especially in the middle-to-higher latitudes in both hemispheres. The DSD parameters and statistical relationships between DSD parameters and radar measurements are a central part of the rainfall retrieval algorithm, which is complicated by regimes where DSD measurements are abysmally sparse (over the open ocean). In view of this, we have assembled optical disdrometer datasets gathered by research vessels, ground stations, and aircrafts to simulate radar observables and validate the scattering lookup tables used in CORRA. The joint use of all DSD datasets spans a large range of drop concentrations and characteristic drop diameters. The scaling normalization of DSDs defines an intercept parameter NW, which normalizes the concentrations, and a scaling diameter Dm, which compresses or stretches the diameter coordinate axis. A major finding of this study is that a single relationship between NW and Dm, on average, unifies all datasets included, from stratocumulus to heavier rainfall regimes. A comparison with the NW–Dm relation used as a constraint in versions 6 and 7 of CORRA highlights the scope for improvement of rainfall retrievals for small drops (Dm < 1 mm) and large drops (Dm > 2 mm). The normalized specific attenuation–reflectivity relationships used in the combined algorithm are also found to match well the equivalent relationships derived using DSDs from the three datasets, suggesting that the currently assumed lookup tables are not a major source of uncertainty in the combined algorithm rainfall estimates.
- Published
- 2021
10. Raindrop shapes and fall velocities in 'turbulent times'
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Merhala Thurai, V. N. Bringi, Günter Lammer, and Michael Schönhuber
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Physics ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Wind sensor ,Turbulence ,Ecological Modeling ,0208 environmental biotechnology ,Rotational symmetry ,02 engineering and technology ,Mechanics ,lcsh:QC851-999 ,Expected value ,01 natural sciences ,Pollution ,lcsh:QC1-999 ,020801 environmental engineering ,Geophysics ,Disdrometer ,Shear (geology) ,Turbulence kinetic energy ,lcsh:Q ,lcsh:Meteorology. Climatology ,lcsh:Science ,lcsh:Physics ,0105 earth and related environmental sciences - Abstract
Raindrop shapes and fall velocities measured by 2-dimensional video disdrometer are presented for 2 high-wind/turbulent events. The shapes were reconstructed using a relatively new technique. 10 m height wind sensor data are used to derive proxy-indicators for turbulent intensities. Our results show strong gusts, directional wind shifts (i.e. shear) and/or inferred high turbulence intensity are correlated with reduced fall speeds, reaching values ∼25 %–30 % less than the expected values, i.e. sub-terminal fall speeds. Significant percentage (20 %–35 %) of asymmetric drops (> 2 mm) deviating from the most probable axisymmetric shapes were also detected for some events with high turbulent intensities.
- Published
- 2019
11. Reconstructing the Drizzle Mode of the Raindrop Size Distribution Using Double-Moment Normalization
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Alexis Berne, Timothy H. Raupach, V. N. Bringi, and Merhala Thurai
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Physics ,Normalization (statistics) ,drizzle ,Atmospheric Science ,optical disdrometer ,010504 meteorology & atmospheric sciences ,representation ,collision-induced breakup ,rainfall ,0207 environmental engineering ,02 engineering and technology ,estimators ,parameterization ,01 natural sciences ,2-dimensional video disdrometer ,small-scale variability ,cloud ,Drizzle ,Statistical physics ,drop size distribution ,020701 environmental engineering ,radar ,0105 earth and related environmental sciences - Abstract
Commonly used disdrometers tend not to accurately measure concentrations of very small drops in the raindrop size distribution (DSD), either through truncation of the DSD at the small-drop end or because of large uncertainties on these measurements. Recent studies have shown that, as a result of these inaccuracies, many if not most ground-based disdrometers do not capture the “drizzle mode” of precipitation, which consists of large concentrations of small drops and is often separated from the main part of the DSD by a shoulder region. We present a technique for reconstructing the drizzle mode of the DSD from “incomplete” measurements in which the drizzle mode is not present. Two statistical moments of the DSD that are well measured by standard disdrometers are identified and used with a double-moment normalized DSD function that describes the DSD shape. A model representing the double-moment normalized DSD is trained using measurements of DSD spectra that contain the drizzle mode obtained using collocated Meteorological Particle Spectrometer and 2D video disdrometer instruments. The best-fitting model is shown to depend on temporal resolution. The result is a method to estimate, from truncated or uncertain measurements of the DSD, a more complete DSD that includes the drizzle mode. The technique reduces bias on low-order moments of the DSD that influence important bulk variables such as the total drop concentration and mass-weighted mean drop diameter. The reconstruction is flexible and often produces better rain-rate estimations than a previous DSD correction routine, particularly for light rain.
- Published
- 2019
12. Raindrop fall velocity in turbulent flow: an observational study
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Merhala Thurai, V. N. Bringi, Mathew Wingo, and Patrick Gatlin
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Atmospheric Science ,010504 meteorology & atmospheric sciences ,Terminal velocity ,Turbulence ,Ecological Modeling ,Drop (liquid) ,Science ,Physics ,QC1-999 ,Mechanics ,01 natural sciences ,Pollution ,Wind speed ,Standard deviation ,010305 fluids & plasmas ,Intensity (physics) ,Geophysics ,Anemometer ,Meteorology. Climatology ,0103 physical sciences ,Environmental science ,QC851-999 ,Falling (sensation) ,0105 earth and related environmental sciences - Abstract
Laboratory measurements of drop fall speeds by Gunn–Kinzer under still air conditions with pressure corrections of Beard are accepted as the “gold standard”. We present measured fall speeds of 2 and 3 mm raindrops falling in turbulent flow with 2D-video disdrometer (2DVD) and simultaneous measurements of wind velocity fluctuations using a 3D-sonic anemometer. The findings based on six rain events are, (i) the mean fall speed decreases (from the Gunn–Kinzer terminal velocity) with increasing turbulent intensity, and (ii) the standard deviation increases with increase in the rms of the air velocity fluctuations. These findings are compared with other observations reported in the literature.
- Published
- 2021
13. Rain Drop Shapes and Scattering Calculations: A Case Study using 2D Video Disdrometer Measurements and Polarimetric Radar Observations at S-band During Hurricane Dorian Rain-Bands
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Franz Teschl, David B. Wolff, Merhala Thurai, Sophie Steger, and Michael Schönhuber
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Scattering ,Instrumentation ,Drop (liquid) ,020208 electrical & electronic engineering ,Polarimetry ,020206 networking & telecommunications ,02 engineering and technology ,Rainband ,Geodesy ,law.invention ,Disdrometer ,law ,0202 electrical engineering, electronic engineering, information engineering ,S band ,Radar ,Geology - Abstract
On 9 September 2019, rain-bands of category-1 Hurricane Dorian passed over a ground instrumentation site in Delmarva peninsula, USA. Drop shapes derived from 2D Video Disdrometer measurements at this site were used to compute the S-band radar cross sections (RCS) for horizontal and vertical polarizations for each drop with equi-volume diameter > 2 mm. These are combined with RCS for the smaller drops assuming equilibrium shapes. Radar reflectivity (Z H ) and differential reflectivity (Z DR ) are calculated for each of the 3 minutes throughout the event which lasted for more than 8 hours. These are compared with simultaneous observations from an S-band polarimetric radar 38 km away. The comparisons highlight the impact of large amplitude drop oscillations on Z DR .
- Published
- 2021
14. Testing the Drop-Size Distribution-Based Separation of Stratiform and Convective Rain Using Radar and Disdrometer Data from a Mid-Latitude Coastal Region
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Merhala Thurai, Viswanathan Bringi, David Wolff, David Marks, and Charanjit Pabla
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Atmospheric Science ,010504 meteorology & atmospheric sciences ,convective rain ,lcsh:Meteorology. Climatology ,lcsh:QC851-999 ,010501 environmental sciences ,Environmental Science (miscellaneous) ,polarimetric radar retrievals ,stratiform rain ,01 natural sciences ,raindrop size distributions ,0105 earth and related environmental sciences - Abstract
Stratiform and convective rain are associated with different microphysical processes and generally produce drop-size distributions (DSDs) with different characteristics. Previous studies using data from (a) a tropical coastal location, (b) a mid-latitude continental location with semi-arid climate, and (c) a sub-tropical continental location, found that the two rain types could be separated in the NW–Dm space, where Dm is the mass-weighted mean diameter and NW is the normalized intercept parameter. In this paper, we investigate the same separation technique using data and observations from a mid-latitude coastal region. Three-minute DSDs from disdrometer measurements are used for the NW- versus Dm-based classification and are compared with simultaneous observations from an S-band polarimetric radar 38 km away from the disdrometer site. Specifically, RHI (range-height indicator) scans over the disdrometer were used for confirmation. Results show that there was no need to modify the separation criteria from previous studies. Three-minute DSDs from the same location were used as input to scattering calculations to derive retrieval equations for NW and Dm for the S-band radar using an improved technique and applied to the RHI scans to identify convective and stratiform rain regions. Two events are shown as illustrative examples.
- Published
- 2021
- Full Text
- View/download PDF
15. Testing the Drop-Size Distribution Based Separation of Stratiform and Convective Rain Using Radar and Disdrometer Data from a Midlatitude Coastal Region
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Merhala Thurai, Charanjit Pabla, V. N. Bringi, David A. Marks, and David B. Wolff
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Disdrometer ,Meteorology ,Correlation coefficient ,law ,Middle latitudes ,Doppler radar ,Polarimetry ,Storm ,Radar ,Rainband ,Geology ,law.invention - Abstract
Stratiform and convective rain are associated with different microphysical processes and generally produce drop size distributions (DSDs) with different characteristics. Identification of these two rain types is also important for estimating rainfall rates from ground-based polarimetric radars as well as spaceborne radars. Previous studies have investigated DSD characteristics using disdrometer data along with radar observations and/or vertically pointing Doppler radar observations. One such study, using data from Darwin, Australia (a tropical coastal location), found that the two rain types could be separated in the NW – Dm space, where Dm is the mass-weighted mean diameter and NW is the normalized intercept parameter. Since then, the separation method has been tested using data and observations from Greeley, Colorado, a mid-latitude continental location with semi-arid climate, and Huntsville, Alabama, a sub-tropical continental location. In this paper, we investigate the same separation technique using data and observations from a mid-latitude coastal region, situated in the Delmarva peninsula in Virginia at NASA Wallops Flight Facility (WFF). Two different types of disdrometers were used to construct the full DSD spectra and the NW versus Dm based classification is compared with simultaneous observations from a S-band polarimetric radar 38 km away from the disdrometer site. Three-minute DSDs were used for the classification and RHI (range-height indicator) radar scans over the disdrometer were used for validation. Events which occurred on 14 and 16 October 2019 were chosen. Results show, surprisingly, that there was no need to modify the separation criteria from those used in Darwin, AU. Also considered were the outer rain bands of Hurricane Dorian (as Category-1) which occurred on 06 September 2019. However, in this case, it was largely stratiform rain during the major part of the storm affecting WFF. Scattering (T-matrix) calculations using the 3-minute DSD spectra were used to derive retrieval equations for NW and Dm for the S-band radar data. These were applied to the radar scans to identify convective and stratiform rain regions as well as mixed or transition regions. Chosen RHI scans from two events (14 October 2019 and 06 September 2019) will be used as illustrative examples. Vertical profiles of reflectivity, differential reflectivity and copolar correlation coefficient over the disdrometer site will be extracted to establish whether or not the melting layer can be clearly distinguished. Specific times will be chosen from the two events and compared against the disdrometer data based classification as well for those corresponding times.
- Published
- 2020
16. Hurricane Dorian Outer Rain Band Observations and 1D Particle Model Simulations: A Case Study
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Axel Seifert, V. N. Bringi, Gwo-Jong Huang, Merhala Thurai, Wei Wu, and Christoph Siewert
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Atmospheric Science ,Radar cross-section ,010504 meteorology & atmospheric sciences ,Turbulence ,Hurricane Dorian ,0208 environmental biotechnology ,Polarimetry ,02 engineering and technology ,Environmental Science (miscellaneous) ,lcsh:QC851-999 ,Snow ,Breakup ,Rainband ,Atmospheric sciences ,01 natural sciences ,atmospheric_science ,020801 environmental engineering ,Disdrometer ,Environmental science ,outer rain bands ,lcsh:Meteorology. Climatology ,Precipitation ,Lagrangian particle microphysics ,0105 earth and related environmental sciences ,polarimetric radar - Abstract
The availability of high quality surface observations of precipitation and volume observations by polarimetric operational radars make it possible to constrain, evaluate, and validate numerical models with a wide variety of microphysical schemes. In this article, a novel particle-based Monte-Carlo microphysical model (called McSnow) is used to simulate the outer rain bands of Hurricane Dorian which traversed the densely instrumented precipitation research facility operated by NASA at Wallops Island, Virginia. The rain bands showed steady stratiform vertical profiles with radar signature of dendritic growth layers near &minus, 15 °, C and peak reflectivity in the bright band of 55 dBZ along with polarimetric signatures of wet snow with sizes inferred to exceed 15 mm. A 2D-video disdrometer measured frequent occurrences of large drops >, 5 mm and combined with an optical array probe the drop size distribution was well-documented in spite of uncertainty for drops <, 0.5 mm due to high wind gusts and turbulence. The 1D McSnow control run and four numerical experiments were conducted and compared with observations. One of the main findings is that even at the moderate rain rate of 10 mm/h collisional breakup is essential for the shape of the drop size distribution.
- Published
- 2020
17. Drop Size Distribution Measurements in Outer Rainbands of Hurricane Dorian at the NASA Wallops Precipitation-Research Facility
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David A. Marks, Merhala Thurai, V. N. Bringi, David B. Wolff, and Charanjit Pabla
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Atmospheric Science ,Drop size ,010504 meteorology & atmospheric sciences ,Spectrometer ,Drop (liquid) ,020206 networking & telecommunications ,02 engineering and technology ,Melting layer ,lcsh:QC851-999 ,Environmental Science (miscellaneous) ,Snow ,Atmospheric sciences ,01 natural sciences ,Reflectivity ,law.invention ,generalized gamma model ,Disdrometer ,hurricane Dorian rainbands ,law ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,lcsh:Meteorology. Climatology ,Radar ,drop size distribution ,0105 earth and related environmental sciences - Abstract
Hurricane rainbands are very efficient rain producers, but details on drop size distributions are still lacking. This study focuses on the rainbands of hurricane Dorian as they traversed the densely instrumented NASA precipitation-research facility at Wallops Island, VA, over a period of 8 h. Drop size distribution (DSD) was measured using a high-resolution meteorological particle spectrometer (MPS) and 2D video disdrometer, both located inside a double-fence wind shield. The shape of the DSD was examined using double-moment normalization, and compared with similar shapes from semiarid and subtropical sites. Dorian rainbands had a superexponential shape at small normalized diameter values similar to those of the other sites. NASA&rsquo, s S-band polarimetric radar performed range height-indicator (RHI) scans over the disdrometer site, showing some remarkable signatures in the melting layer (bright-band reflectivity peaks of 55 dBZ, a dip in the copolar correlation to 0.85 indicative of 12&ndash, 15 mm wet snow, and a staggering reflectivity gradient above the 0 °, C level of &ndash, 10 dB/km, indicative of heavy aggregation). In the rain layer at heights <, 2.5 km, polarimetric signatures indicated drop break-up as the dominant process, but drops as large as 5 mm were detected during the intense bright-band period.
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- 2020
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18. Analysis of Raindrop Shapes and Scattering Calculations: The Outer Rain Bands of Tropical Depression Nate
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Sophie Steger, Franz Teschl, Merhala Thurai, and Michael Schönhuber
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Atmospheric Science ,010504 meteorology & atmospheric sciences ,Polarimetry ,02 engineering and technology ,Environmental Science (miscellaneous) ,lcsh:QC851-999 ,01 natural sciences ,law.invention ,Disdrometer ,law ,0202 electrical engineering, electronic engineering, information engineering ,Radar ,scattering calculations ,asymmetric rain drops ,0105 earth and related environmental sciences ,raindrop shapes ,Scattering ,Drop (liquid) ,020206 networking & telecommunications ,Rainband ,Geodesy ,Integral equation ,2d-video distrometer ,lcsh:Meteorology. Climatology ,Tropical cyclone ,Geology ,polarimetric radar - Abstract
Tropical storm Nate, which was a powerful hurricane prior to landfall along the US Gulf coast, traversed north and weakened considerably to a tropical depression as it moved near an instrumented site in Hunstville, AL. The outer rain bands lasted 18 h (03:00 to 21:00 UTC on 08 October 2017) and a 2D-video disdrometer (2DVD) captured the event which was shallow at times and indicative of pure warm rain processes. The 2DVD measurements are used for 3D reconstruction of drop shapes (including the rotationally asymmetric drops) and the drop-by-drop scattering matrix has been computed using Computer Simulation Technology integral equation solver for drop sizes >, 2.5 mm. From the scattering matrix elements, the polarimetric radar observables are simulated by integrating over 1 min consecutive segments of the event. These simulated values are compared with dual-polarized C-band radar data located at 15 km range from the 2DVD site to evaluate the contribution of the asymmetric drop shapes, specifically to differential reflectivity. The drop fall velocities and drop horizontal velocities in terms of magnitude and direction, all being derived from each drop image from two orthogonal cameras of the 2DVD, are also considered.
- Published
- 2020
19. Retrieval of lower-order moments of the drop size distribution using CSU-CHILL X-band polarimetric radar: a case study
- Author
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Kumar Vijay Mishra, Timothy H. Raupach, V. N. Bringi, Merhala Thurai, and Patrick C. Kennedy
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Normalization (statistics) ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,0208 environmental biotechnology ,Polarimetry ,02 engineering and technology ,910 Geography & travel ,01 natural sciences ,law.invention ,Disdrometer ,law ,Gamma distribution ,lcsh:TA170-171 ,Radar ,0105 earth and related environmental sciences ,Physics ,lcsh:TA715-787 ,Attenuation ,lcsh:Earthwork. Foundations ,Differential phase ,lcsh:Environmental engineering ,020801 environmental engineering ,Exponential function ,Computational physics ,Computer Science::Programming Languages - Abstract
The lower-order moments of the drop size distribution (DSD) have generally been considered difficult to retrieve accurately from polarimetric radar data because these data are related to higher-order moments. For example, the 4.6th moment is associated with a specific differential phase and the 6th moment with reflectivity and ratio of high-order moments with differential reflectivity. Thus, conventionally, the emphasis has been to estimate rain rate (3.67th moment) or parameters of the exponential or gamma distribution for the DSD. Many double-moment “bulk” microphysical schemes predict the total number concentration (the 0th moment of the DSD, or M0) and the mixing ratio (or equivalently, the 3rd moment M3). Thus, it is difficult to compare the model outputs directly with polarimetric radar observations or, given the model outputs, forward model the radar observables. This article describes the use of double-moment normalization of DSDs and the resulting stable intrinsic shape that can be fitted by the generalized gamma (G-G) distribution. The two reference moments are M3 and M6, which are shown to be retrievable using the X-band radar reflectivity, differential reflectivity, and specific attenuation (from the iterative correction of measured reflectivity Zh using the total Φdp constraint, i.e., the iterative ZPHI method). Along with the climatological shape parameters of the G-G fit to the scaled/normalized DSDs, the lower-order moments are then retrieved more accurately than possible hitherto. The importance of measuring the complete DSD from 0.1 mm onwards is emphasized using, in our case, an optical array probe with 50 µm resolution collocated with a two-dimensional video disdrometer with about 170 µm resolution. This avoids small drop truncation and hence the accurate calculation of lower-order moments. A case study of a complex multi-cell storm which traversed an instrumented site near the CSU-CHILL radar is described for which the moments were retrieved from radar and compared with directly computed moments from the complete spectrum measurements using the aforementioned two disdrometers. Our detailed validation analysis of the radar-retrieved moments showed relative bias of the moments M0 through M2 was % in magnitude, with Pearson’s correlation coefficient >0.9. Both radar measurement and parameterization errors were estimated rigorously. We show that the temporal variation of the radar-retrieved mass-weighted mean diameter with M0 resulted in coherent “time tracks” that can potentially lead to studies of precipitation evolution that have not been possible so far.
- Published
- 2020
- Full Text
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20. Scattering Calculations for Asymmetric Raindrops during a Line Convection Event: Comparison with Radar Measurements
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Sanja B. Manic, V. N. Bringi, Merhala Thurai, and Branislav M. Notaros
- Subjects
Physics ,Convection ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Scattering ,C band ,Drop (liquid) ,Polarimetry ,020206 networking & telecommunications ,Ocean Engineering ,02 engineering and technology ,01 natural sciences ,law.invention ,Computational physics ,Azimuth ,Disdrometer ,law ,0202 electrical engineering, electronic engineering, information engineering ,Radar ,0105 earth and related environmental sciences - Abstract
Two-dimensional video disdrometer (2DVD) data from a line convection rain event are analyzed using the method of moments surface integral equation (MoM-SIE) via drop-by-drop polarimetric scattering calculations at C band that are compared with radar measurements. Drop geometry of asymmetric drop shapes is reconstructed from 2DVD measurements, and the MoM-SIE model is created by meshing the surface of the drop. The differential reflectivity Zdr calculations for an example asymmetric drop are validated against an industry standard code solution at C band, and the azimuthal dependence of results is documented. Using the MoM-SIE analysis on 2DVD drop-by-drop data (also referred to as simply MoM-SIE), the radar variables [Zh, Zdr, Kdp, ρhv] are computed as a function of time (with 1-min resolution) and compared to C-band radar measurements. The importance of shape variability of asymmetric drops is demonstrated by comparing with the traditional (or “bulk”) method, which uses 1-min averaged drop size distributions and equilibrium oblate shapes. This was especially pronounced for ρhv, where the MoM-SIE method showed lowered values (dip) during the passage of the line convection consistent with radar measurements, unlike the bulk method. The MoM-SIE calculations of [Zh, Zdr, Kdp] agree very well with the radar measurements, whereas linear depolarization ratio (LDR) calculations from the drop-by-drop method are found to be larger than the values from the bulk method, which is consistent with the dip in simulated and radar-measured ρhv. Our calculations show the importance of the variance of shapes resulting from asymmetric drops in the calculation of ρhv and LDR.
- Published
- 2018
21. Application of the Generalized Gamma Model to Represent the Full Rain Drop Size Distribution Spectra
- Author
-
V. N. Bringi and Merhala Thurai
- Subjects
Normalization (statistics) ,Physics ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Spectrometer ,0211 other engineering and technologies ,Mode (statistics) ,02 engineering and technology ,01 natural sciences ,Spectral line ,Computational physics ,Disdrometer ,Distribution (mathematics) ,Drizzle ,Precipitation ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences - Abstract
We report on measurements of drop size distributions (DSD) using collocated instruments (a Droplet Measurement Technologies, Inc., Meteorological Particle Spectrometer and a 2D-video disdrometer) from two locations with different rainfall climates (Greeley, Colorado, and Huntsville, Alabama, with measurements from the latter that include the outer rainbands of Hurricane Irma). The combination of the two instruments gives what we term as the “full” DSD spectra, the shape of which generally cannot be represented by the standard gamma model, but instead requires the additional flexibility of the generalized gamma model, which includes two shape parameters (μ and c). The double-moment normalization of DSDs using the third and fourth moments is used to arrive at the intrinsic shapes of the DSD with two shape parameters that are shown to capture simultaneously the drizzle mode as well as the precipitation mode, together with a “plateau” region between the two. The estimation of μ and c is done with a global search using nonlinear least squares, and the error residuals are examined to check the sensitivity of the parameters to a preselected, allowed tolerance around the minimum error in the μ, c plane. This leads to a range of plausible fits for a given normalized DSD mainly governed by the c parameter. The stability or invariance of the shape of the normalized DSDs from the two sites is examined, and on average the shapes are similar with some variability at the large normalized diameter end that is explained by the aforementioned range of plausible fits. Heuristic goodness-of-fit methods are described that demonstrate that the generalized gamma model outperforms the standard gamma model with only one shape parameter (μ).
- Published
- 2018
22. Dual-Polarization Radar Rainfall Estimation over Tropical Oceans
- Author
-
Merhala Thurai, Elizabeth J. Thompson, Steven A. Rutledge, Brenda Dolan, and V. Chandrasekar
- Subjects
Convection ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Attenuation ,0208 environmental biotechnology ,Magnitude (mathematics) ,02 engineering and technology ,Subtropics ,Atmospheric sciences ,Rainfall estimation ,01 natural sciences ,020801 environmental engineering ,law.invention ,Disdrometer ,law ,Environmental science ,Weather radar ,Radar ,0105 earth and related environmental sciences - Abstract
Dual-polarization radar rainfall estimation relationships have been extensively tested in continental and subtropical coastal rain regimes, with little testing over tropical oceans where the majority of rain on Earth occurs. A 1.5-yr Indo-Pacific warm pool disdrometer dataset was used to quantify the impacts of tropical oceanic drop-size distribution (DSD) variability on dual-polarization radar variables and their resulting utility for rainfall estimation. Variables that were analyzed include differential reflectivity Zdr; specific differential phase Kdp; reflectivity Zh; and specific attenuation Ah. When compared with continental or coastal convection, tropical oceanic Zdr and Kdp values were more often of low magnitude (−1) and Zdr was lower for a given Kdp or Zh, consistent with observations of tropical oceanic DSDs being dominated by numerous, small, less-oblate drops. New X-, C-, and S-band R estimators were derived: R(Kdp), R(Ah), R(Kdp, ζdr), R(z, ζdr), and R(Ah, ζdr), which use linear versions of Zdr and Zh, namely ζdr and z. Except for R(Kdp), convective/stratiform partitioning was unnecessary for these estimators. All dual-polarization estimators outperformed updated R(z) estimators derived from the same dataset. The best-performing estimator was R(Kdp, ζdr), followed by R(Ah, ζdr) and R(z, ζdr). The R error was further reduced in an updated blended algorithm choosing between R(z), R(z, ζdr), R(Kdp), and R(Kdp, ζdr) depending on Zdr > 0.25 dB and Kdp > 0.3° km−1 thresholds. Because of these thresholds and the lack of hail, R(Kdp) was never used. At all wavelengths, R(z) was still needed 43% of the time during light rain (R < 5 mm h−1, Zdr < 0.25 dB), composing 7% of the total rain volume. As wavelength decreased, R(Kdp, ζdr) was used more often, R(z, ζdr) was used less often, and the blended algorithm became increasingly more accurate than R(z).
- Published
- 2018
23. Raindrop fall velocities from an optical array probe and 2-D video disdrometer
- Author
-
V. N. Bringi, Darrel Baumgardner, and Merhala Thurai
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Meteorology ,Terminal velocity ,Turbulence ,lcsh:TA715-787 ,0208 environmental biotechnology ,lcsh:Earthwork. Foundations ,02 engineering and technology ,Supercell ,01 natural sciences ,Wind speed ,020801 environmental engineering ,Intensity (physics) ,lcsh:Environmental engineering ,Disdrometer ,13. Climate action ,Turbulence kinetic energy ,Environmental science ,lcsh:TA170-171 ,Squall line ,0105 earth and related environmental sciences - Abstract
We report on fall speed measurements of raindrops in light-to-heavy rain events from two climatically different regimes (Greeley, Colorado, and Huntsville, Alabama) using the high-resolution (50 µm) Meteorological Particle Spectrometer (MPS) and a third-generation (170 µm resolution) 2-D video disdrometer (2DVD). To mitigate wind effects, especially for the small drops, both instruments were installed within a 2∕3-scale Double Fence Intercomparison Reference (DFIR) enclosure. Two cases involved light-to-moderate wind speeds/gusts while the third case was a tornadic supercell and several squall lines that passed over the site with high wind speeds/gusts. As a proxy for turbulent intensity, maximum wind speeds from 10 m height at the instrumented site recorded every 3 s were differenced with the 5 min average wind speeds and then squared. The fall speeds vs. size from 0.1 to 2 and >0.7 mm were derived from the MPS and the 2DVD, respectively. Consistency of fall speeds from the two instruments in the overlap region (0.7–2 mm) gave confidence in the data quality and processing methodologies. Our results indicate that under low turbulence, the mean fall speeds agree well with fits to the terminal velocity measured in the laboratory by Gunn and Kinzer from 100 µm up to precipitation sizes. The histograms of fall speeds for 0.5, 0.7, 1 and 1.5 mm sizes were examined in detail under the same conditions. The histogram shapes for the 1 and 1.5 mm sizes were symmetric and in good agreement between the two instruments with no evidence of skewness or of sub- or super-terminal fall speeds. The histograms of the smaller 0.5 and 0.7 mm drops from MPS, while generally symmetric, showed that occasional occurrences of sub- and super-terminal fall speeds could not be ruled out. In the supercell case, the very strong gusts and inferred high turbulence intensity caused a significant broadening of the fall speed distributions with negative skewness (for drops of 1.3, 2 and 3 mm). The mean fall speeds were also found to decrease nearly linearly with increasing turbulent intensity attaining values about 25–30 % less than the terminal velocity of Gunn–Kinzer, i.e., sub-terminal fall speeds.
- Published
- 2018
24. Measurement and Modeling of the Precipitation Particle Size Distribution
- Author
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Christopher R. Williams, Merhala Thurai, Elisa Adirosi, and Patrick Gatlin
- Subjects
Atmospheric Science ,n/a ,010504 meteorology & atmospheric sciences ,Distribution (number theory) ,Meteorology. Climatology ,Precipitation particle ,Environmental science ,Soil science ,QC851-999 ,010501 environmental sciences ,Environmental Science (miscellaneous) ,01 natural sciences ,0105 earth and related environmental sciences - Abstract
Precipitation plays a vital role within the Earth system [...]
- Published
- 2021
25. Toward Completing the Raindrop Size Spectrum: Case Studies Involving 2D-Video Disdrometer, Droplet Spectrometer, and Polarimetric Radar Measurements
- Author
-
Merhala Thurai, Walter A. Petersen, Branislav M. Notaros, Patrick C. Kennedy, Patrick Gatlin, V. N. Bringi, and Lawrence D. Carey
- Subjects
Physics ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Spectrometer ,Drop (liquid) ,0208 environmental biotechnology ,02 engineering and technology ,01 natural sciences ,Standard deviation ,Spectral line ,020801 environmental engineering ,law.invention ,Disdrometer ,law ,Mass spectrum ,Drizzle ,Radar ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Analysis of drop size distributions (DSD) measured by collocated Meteorological Particle Spectrometer (MPS) and a third-generation, low-profile, 2D-video disdrometer (2DVD) are presented. Two events from two different regions (Greeley, Colorado, and Huntsville, Alabama) are analyzed. While the MPS, with its 50-μm resolution, enabled measurements of small drops, typically for drop diameters below about 1.1 mm, the 2DVD provided accurate measurements for drop diameters above 0.7 mm. Drop concentrations in the 0.7–1.1-mm overlap region were found to be in excellent agreement between the two instruments. Examination of the combined spectra clearly reveals a drizzle mode and a precipitation mode. The combined spectra were analyzed in terms of the DSD parameters, namely, the normalized intercept parameter NW, the mass-weighted mean diameter Dm, and the standard deviation of mass spectrum σM. The inclusion of small drops significantly affected the NW and the ratio σM/Dm toward higher values relative to using the 2DVD-based spectra alone. For each of the two events, polarimetric radar data were used to characterize the variation of radar-measured reflectivity Zh and differential reflectivity Zdr with Dm from the combined spectra. In the Greeley event, this variation at S band was well captured for small values of Dm (Zdr tended to 0 dB but Zh showed a noticeable decrease with decreasing Dm. For the Huntsville event, an overpass of the Global Precipitation Measurement mission Core Observatory satellite enabled comparison of satellite-based dual-frequency radar retrievals of Dm with ground-based DSD measurements. Small differences were found between the satellite-based radar retrievals and disdrometers.
- Published
- 2017
26. Initial Results of a New Composite-Weighted Algorithm for Dual-Polarized X-Band Rainfall Estimation
- Author
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V. N. Bringi, Witold F. Krajewski, Kumar Vijay Mishra, and Merhala Thurai
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Attenuation ,0208 environmental biotechnology ,Polarimetry ,X band ,Estimator ,02 engineering and technology ,01 natural sciences ,020801 environmental engineering ,law.invention ,Smoothing spline ,law ,Piecewise ,Environmental science ,Constant function ,Radar ,Algorithm ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Data analyses for the mobile Iowa X-band polarimetric (XPOL) radar from a long-duration rain event that occurred during the NASA Iowa Flood Studies (IFloodS) field campaign are presented. A network of six 2D video disdrometers (2DVDs) is used to derive four rain-rate estimators for the XPOL-5 radar. The rain accumulation validations with a collocated network of twin and triple tipping-bucket rain gauges have highlighted the need for combined algorithms because no single estimator was found to be sufficient for all cases considered. A combined version of weighted and composite algorithms is introduced, including a new R(Ah, Zdr) rainfall estimator for X band, where Ah is the specific attenuation for horizontal polarization and Zdr is the differential reflectivity. Based on measurement and algorithm errors, the weights are derived to be as piecewise constant functions over reflectivity values. The weights are later turned into continuous functions using smoothing splines. A methodology to derive the weights in near–real time is proposed for the composite-weighted algorithm. Comparisons of 2-h accumulations and 8-h event totals obtained from the XPOL-5 with 12 rain gauges have shown 10%–40% improvement in normalized bias over individual rainfall estimators. The analyses have enabled the development of rain-rate estimators for the Iowa XPOL.
- Published
- 2017
27. Dual-Polarized Radar and Surface Observations of a Winter Graupel Shower with Negative Zdr Column
- Author
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Merhala Thurai, Patrick C. Kennedy, Cameron Kleinkort, V. N. Bringi, G.-J. Huang, and Branislav M. Notaros
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Meteorology ,Instrumentation ,Polarimetry ,020206 networking & telecommunications ,02 engineering and technology ,Prolate spheroid ,Differential reflectivity ,01 natural sciences ,Dual polarized ,law.invention ,law ,0202 electrical engineering, electronic engineering, information engineering ,Radar ,Snowflake ,Graupel ,Geology ,0105 earth and related environmental sciences - Abstract
Comprehensive analysis of an unusual graupel-shower event recorded by an S-band polarimetric radar and two optical-imaging surface instruments is presented. The primary radar characteristic was negative differential reflectivity Zdr values along a vertical column. During the afternoon hours of 16 February 2015, a sequence of three showers that were composed primarily of small (8–15-mm diameter) graupel affected the ground instrumentation site that was established for the Multi-Angle Snowflake Camera and Radar (MASCRAD) experiment in the high plains of Colorado. While these showers passed the instrumentation site, the CSU–CHILL radar conducted high-time-resolution (~2.5-min cycle time) range–height indicator (RHI) scans from a range of 13 km. The RHI data show that the negative Zdr values extended vertically through much of the reflectivity cores, implying that the reflectivity-weighted mean axis ratios of the graupel particles in this event remained somewhat prolate throughout their lifetime. To be specific, the cores of the convective showers only extended to heights of ~3.5 km AGL and had fractionally negative (from ~−0.3 to −0.7 dB) Zdr levels in those cores. Particle-image data obtained by the MASC system and by a collocated 2D video disdrometer measured the diameters, shapes, and fall speeds of the graupel particles as they reached the surface. The graupel particles were found to be primarily of the lump type with a slightly prolate mean shape (especially for the larger-diameter particles). Microwave backscatter calculations confirm that the graupel-particle shape and orientation characteristics are consistent with the observed slightly, but consistently, negative Zdr values.
- Published
- 2017
28. Analysis of Raindrop Shapes, Fall Velocities, and Scattering Calculations during Tropical Storm Nate
- Author
-
Franz Teschl, Merhala Thurai, Sophie Steger, and M. Schoenhuber
- Subjects
Scattering ,Tropical cyclone ,Atmospheric sciences ,Geology ,atmospheric_science - Abstract
Tropical storm Nate, which was a powerful hurricane prior to landfall along the Alabama coast, traversed north towards our instrumented site in Hunstville, AL. The rain bands lasted 18 h and the 2D-video disdrometer (2DVD) captured the event which was shallow and indicative of pure warm rain processes. Measurements of raindrop size, shape and velocity distributions are quite rare in pure warm rain and are expected to differ from cold rain processes. In particular, asymmetric shapes due to drop oscillations and their impact on polarimetric radar signatures in warm rain have not been studied so far. Recently, the 2DVD data has been used for 3D reconstruction of asymmetric raindrop shapes but their fraction (relative to the more common oblate shapes) in warm rain has yet to be ascertained. Here we compute the scattering matrix drop-by-drop using Computer Simulation Technology integral equation solver for drop sizes>2.5 mm. From the scattering matrix elements, the polarimetric radar observables are simulated by integrating over 1 minute consecutive segments of the event. These simulated values are compared with dual-polarized C-band radar data located at 15 km range from the 2DVD site to evaluate the contribution of the asymmetric drop shapes.
- Published
- 2019
29. Separating stratiform and convective rain types based on the drop size distribution characteristics using 2D video disdrometer data
- Author
-
Patrick Gatlin, Merhala Thurai, and V. N. Bringi
- Subjects
Convection ,Atmospheric Science ,Drop size ,010504 meteorology & atmospheric sciences ,Doppler radar ,0211 other engineering and technologies ,02 engineering and technology ,01 natural sciences ,law.invention ,symbols.namesake ,Distribution (mathematics) ,Disdrometer ,Ultra high frequency ,law ,symbols ,Scaling ,Doppler effect ,Geology ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing - Abstract
A technique for separating stratiform and convective rain types using the characteristics of two of the main drop size distribution (DSD) parameters is presented. The method was originally developed based on observations from dual-frequency profiler and dual-polarization radar observations in Darwin, Australia. In this paper, we will present the testing of the method using data from 2D video disdrometers (2DVD) from two very different locations, namely, Ontario, Canada, and Huntsville, Alabama, USA. One-minute DSDs from 2DVD are used as input to a gamma-fitting procedure and our separation technique uses the fitted values of log 10 ( N W ) and D 0 (where N W is the scaling parameter and D 0 is the median volume diameter) and an “index” to quantify where the points lie in the log 10 ( N W ) versus D 0 domain. For the Ontario location, the output of the classification is compared with simultaneous observations from a collocated, vertically pointing, X-band Doppler radar. A “bright-band” detection algorithm is used to classify each height profile as either stratiform or convective, depending on whether or not a clearly defined melting layer is present at an expected height. If present, the maximum reflectivity within the melting layer and the corresponding height are determined. Similar testing is carried out for two events in Huntsville and compared with observations from a collocated UHF profiler (with Doppler capability). Additional case studies are required, but these results indicate our separation technique seems to be applicable to many different locations and climatologies based on previously published data.
- Published
- 2016
30. Drop Size Distributions and Radar Observations of Convective and Stratiform Rain over the Equatorial Indian and West Pacific Oceans
- Author
-
Merhala Thurai, Elizabeth J. Thompson, Steven A. Rutledge, and Brenda Dolan
- Subjects
Convection ,Atmospheric Science ,Drop size ,Intertropical Convergence Zone ,Madden–Julian oscillation ,Atmospheric sciences ,law.invention ,Disdrometer ,law ,Liquid water content ,Climatology ,Precipitation ,Radar ,Geology - Abstract
Two-dimensional video disdrometer (2DVD) data were analyzed from two equatorial Indian (Gan) and west Pacific Ocean (Manus) islands where precipitation is primarily organized by the intertropical convergence zone and the Madden–Julian oscillation (MJO). The 18 (3.5) months of 2DVD data from Manus (Gan) Island show that 1) the two sites have similar drop size distribution (DSD) spectra of liquid water content, median diameter, rain rate R, radar reflectivity z, normalized gamma number concentration Nw, and other integral rain parameters; 2) there is a robust Nw-based separation between convective (C) and stratiform (S) DSDs at both sites that produces consistent separation in other parameter spaces. The 2DVD data indicate an equatorial, maritime average C/S rainfall accumulation fraction (frequency) of 81/19 (41/59) at these locations. It is hypothesized that convective fraction and frequency estimates are slightly higher than previous radar-based studies, because the ubiquitous weak, shallow convection (
- Published
- 2015
31. Rain microstructure retrievals using 2-D video disdrometer and C-band polarimetric radar
- Author
-
Merhala Thurai, V. N. Bringi, and Walter A. Petersen
- Subjects
010504 meteorology & atmospheric sciences ,Correlation coefficient ,lcsh:Dynamic and structural geology ,C band ,0207 environmental engineering ,Polarimetry ,02 engineering and technology ,01 natural sciences ,law.invention ,Disdrometer ,lcsh:QE500-639.5 ,law ,Precipitation ,Radar ,020701 environmental engineering ,lcsh:Science ,Physics::Atmospheric and Oceanic Physics ,0105 earth and related environmental sciences ,Remote sensing ,Drop (liquid) ,lcsh:QE1-996.5 ,General Medicine ,lcsh:Geology ,Backscatter X-ray ,13. Climate action ,lcsh:Q ,Geology - Abstract
Measurements using the 2-D video disdrometer (2DVD) taken during a heavy rainfall event in Huntsville, Alabama, are analysed. The 2DVD images were processed to derive the rain microstructure parameters for each individual drop, which in turn were used as input to the T-matrix method to compute the forward and back scatter amplitudes of each drop at C-band. The polarimetric radar variables were then calculated from the individual drop contribution over a finite time period, e.g., 1 min. The calculated co-polar reflectivity, differential reflectivity, specific differential propagation phase and the co-polar correlation coefficient were compared with measurements from a C-band polarimetric radar located 15 km away. An attenuation-correction method based on the specific differential propagation phase was applied to the co-polar and differential reflectivity data from the C-band radar, after ensuring accurate radar calibration. Time series comparisons of the parameters derived from the 2DVD and C-band radar data show very good agreement for all four quantities, the agreement being sometimes better than the computations using the 1-min drop size distribution and bulk assumptions on rain microstructure (such as mean shapes and model-based assumptions for drop orientation). The agreement is particularly improved in the case of co-polar correlation coefficient since this parameter is very sensitive to variation of shapes as well as orientation angles. The calculations mark the first attempt at utilizing experimentally derived "drop- by-drop" rain microstructure information to compute the radar polarimetric parameters and to demonstrate the value of utilizing the 2-D video disdrometer for studying rain microstructure under various precipitation conditions. Histograms of drop orientation angles as well as the most probable drop shapes and the corresponding variations were also derived and compared with prior results from the 80 m fall "artificial rain" experiment.
- Published
- 2018
32. Estimation of Spatial Correlation of Drop Size Distribution Parameters and Rain Rate Using NASA’s S-Band Polarimetric Radar and 2D Video Disdrometer Network: Two Case Studies from MC3E
- Author
-
Walter A. Petersen, Merhala Thurai, V. N. Bringi, and Leonid Tolstoy
- Subjects
Atmospheric Science ,Spatial correlation ,Meteorology ,Polarimetry ,Pearson product-moment correlation coefficient ,law.invention ,Azimuth ,symbols.namesake ,Disdrometer ,law ,symbols ,Environmental science ,Spatial variability ,S band ,Radar ,Remote sensing - Abstract
Polarimetric radar data obtained at high spatial and temporal resolutions offer a distinct advantage in estimating the spatial correlation function of drop size distribution (DSD) parameters and rain rate compared with a fixed gauge–disdrometer network. On two days during the 2011 Midlatitude Continental Convective Clouds Experiment (MC3E) campaign in Oklahoma, NASA’s S-band polarimetric radar (NPOL) performed repeated PPI scans every 40 s over six 2D video disdrometer (2DVD) sites, located 20–30 km from the radar. The two cases were 1) a rapidly evolving multicell rain event (with large drops) and 2) a long-duration stratiform rain event. From the time series at each polar pixel, the Pearson correlation coefficient is computed as a function of distance along each radial in the PPI scan. Azimuthal dependence is found, especially for the highly convective event. A pseudo-1D spatial correlation is computed that is fitted to a modified-exponential function with two parameters (decorrelation distance R0 and shape F). The first event showed significantly higher spatial variability in rain rate (shorter decorrelation distance R0 = 3.4 km) compared with the second event with R0 = 10.2 km. Further, for the second event, the spatial correlation of the DSD parameters and rain rate from radar showed good agreement with 2DVD-based spatial correlations over distances ranging from 1.5 to 7 km. The NPOL also performed repeated RHI scans every 40 s along one azimuth centered over the 2DVD network. Vertical correlations of the DSD parameters as well as the rainwater content were determined below the melting level, with the first event showing more variability compared with the second event.
- Published
- 2015
33. Searching for Large Raindrops: A Global Summary of Two-Dimensional Video Disdrometer Observations
- Author
-
Lawrence D. Carey, Ali Tokay, V. N. Bringi, Walter A. Petersen, Merhala Thurai, Matthew Wingo, Patrick Gatlin, and David B. Wolff
- Subjects
Mean diameter ,Atmospheric Science ,Cloud microphysics ,Disdrometer ,Drop size ,Meteorology ,Environmental science ,Subtropics ,Radar reflectivity ,Retrieval algorithm - Abstract
A dataset containing 9637 h of two-dimensional video disdrometer observations consisting of more than 240 million raindrops measured at diverse climatological locations was compiled to help characterize underlying drop size distribution (DSD) assumptions that are essential to make precise retrievals of rainfall using remote sensing platforms. This study concentrates on the tail of the DSD, which largely impacts rainfall retrieval algorithms that utilize radar reflectivity. The maximum raindrop diameter was a median factor of 1.8 larger than the mass-weighted mean diameter and increased with rainfall rate. Only 0.4% of the 1-min DSD spectra were found to contain large raindrops exceeding 5 mm in diameter. Large raindrops were most abundant at the tropical locations, especially in Puerto Rico, and were largely concentrated during the spring, especially at subtropical locations. Giant raindrops exceeding 8 mm in diameter occurred at tropical, subtropical, and high-latitude continental locations. The greatest numbers of giant raindrops were found in the subtropical locations, with the largest being a 9.7-mm raindrop that occurred in northern Oklahoma during the passage of a hail-producing thunderstorm. These results suggest large raindrops are more likely to fall from clouds that contain hail, especially those raindrops exceeding 8 mm in diameter.
- Published
- 2015
34. MASCRAD events: Observations and analyses of cases with contrasting hydrometeor forms
- Author
-
Kwonil Kim, Merhala Thurai, G.-J. Huang, GyuWon Lee, Andrew J. Newman, Wonbae Bang, Branislav M. Notaros, Patrick C. Kennedy, and V. N. Bringi
- Subjects
010504 meteorology & atmospheric sciences ,Meteorology ,Polarimetry ,020206 networking & telecommunications ,02 engineering and technology ,Snow field ,01 natural sciences ,law.invention ,Disdrometer ,law ,Remote sensing (archaeology) ,0202 electrical engineering, electronic engineering, information engineering ,Radiosonde ,Environmental science ,Instrumentation (computer programming) ,Radar ,Snowflake ,0105 earth and related environmental sciences ,Remote sensing - Abstract
We present observations and analyses for several cases with contrasting hydrometeor forms, recorded by several ground instruments at the MASCRAD (MASC + Radar) snow field site, radiosondes, and polarimetric radars. The instrumentation includes the multi-angle snowflake camera (MASC) and 2D-video disdrometer. The study focuses on microphysical characteristics analysis and is aimed at improving the radar-based winter-precipitation estimation.
- Published
- 2017
35. Accurate characterization of rain drop size distribution using meteorological particle spectrometer and 2D video disdrometer for propagation and remote sensing applications
- Author
-
V. N. Bringi, Branislav M. Notaros, Patrick Gatlin, Merhala Thurai, and Patrick C. Kennedy
- Subjects
010504 meteorology & atmospheric sciences ,Spectrometer ,Meteorology ,Scattering ,Remote sensing application ,Drop (liquid) ,020206 networking & telecommunications ,02 engineering and technology ,01 natural sciences ,law.invention ,Disdrometer ,law ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,Rain drop ,Drizzle ,Radar ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Accurate measurements of rain drop size distributions (DSD), with particular emphasis on small and tiny drops, are presented. Measurements were conducted in two very different climate regions, namely Northern Colorado and Northern Alabama. Both datasets reveal a combination of (i) a drizzle mode for drop diameters less than 0.7 mm and (ii) a precipitation mode for larger diameters. Scattering calculations using the DSDs are performed at S and X bands and compared with radar observations for the first location. Our accurate DSDs will improve radar-based rain rate estimates as well as propagation predictions.
- Published
- 2017
36. MoM-SIE scattering models of snow and ice hydrometeors based on 3D shape reconstructions from MASC images
- Author
-
Cameron Kleinkort, Sanja B. Manic, G.-J. Huang, Elene Chobanyan, Merhala Thurai, V. N. Bringi, Branislav M. Notaros, and Patrick C. Kennedy
- Subjects
010504 meteorology & atmospheric sciences ,Scattering ,Computation ,Polarimetry ,020206 networking & telecommunications ,02 engineering and technology ,Snow ,01 natural sciences ,law.invention ,Visual hull ,law ,0202 electrical engineering, electronic engineering, information engineering ,Precipitation ,Snowflake ,Radar ,Geology ,0105 earth and related environmental sciences ,Remote sensing - Abstract
We present scattering models of snow and ice hydrometeors and computation of full polarimetrie radar variables for winter precipitation using a higher order method of moments (MoM) in the surface integral equation (SIE) formulation. The studies of winter precipitation are based primarily on measurements by a multi-angle snowflake camera (MASC), reconstruction of 3D hydrometeor shapes by means of the visual hull method, MoM-SIE scattering computations, and measured polarimetric observables by CSU-CHILL Radar.
- Published
- 2017
37. Investigating raindrop shapes, oscillation modes, and implications for radio wave propagation
- Author
-
V. N. Bringi, Branislav M. Notaros, Merhala Thurai, Ana B. Manic, and Nada J. Sekeljic
- Subjects
Physics ,Convection ,business.industry ,Scattering ,Oscillation ,Drop (liquid) ,Condensed Matter Physics ,Collision ,Computational physics ,Radio propagation ,Optics ,Amplitude ,Collision frequency ,General Earth and Planetary Sciences ,Electrical and Electronic Engineering ,business - Abstract
Studies of raindrop shapes, oscillation modes, and implications for radio wave propagation are presented. Drop shape measurements in natural rain using 2-D video disdrometers (2DVDs) are discussed. As a representative exception to vast majority of the cases where the “most probable” shapes conform to the axisymmetric (2,0) oscillation mode, an event with a highly organized line convection embedded within a larger rain system is studied. Measurements using two collocated 2DVD instruments and a C-band polarimetric radar clearly show the occurrence of mixed-mode drop oscillations within the line, which in turn is attributed to sustained drop collisions. Moreover, the fraction of asymmetric drops determined from the 2DVD camera data increases with the calculated collision probability when examined as time series. Recent wind-tunnel experiments of drop collisions are also discussed. They show mixed-mode oscillations, with (2,1) and (2,2) modes dramatically increasing in oscillation amplitudes, in addition to the (2,0) mode, immediately upon collision. The damping time constant of the perturbation caused by the collision is comparable to the inverse of the collision frequency within the line convection. Scattering calculations using an advanced method of moments numerical technique are performed to accurately and efficiently determine the pertinent parameters of electrically large oscillating raindrops with asymmetric shapes needed for radio wave propagation. The simulations show that the scattering matrix and differential reflectivity of drops are dependent on the particular oscillation modes and different time instants within the oscillation cycle. The technique can be utilized in conjunction with 3-D reconstruction of drop shapes from 2DVD data.
- Published
- 2014
38. Examining the correlations between drop size distribution parameters using data from two side-by-side 2D-video disdrometers
- Author
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Christopher R. Williams, V. N. Bringi, and Merhala Thurai
- Subjects
Atmospheric Science ,Disdrometer ,Drop size ,Drop (liquid) ,Histogram ,Maximum likelihood ,Mathematical analysis ,Statistics ,Mass spectrum ,Shape parameter ,Standard deviation ,Mathematics - Abstract
As part of a long-term observation campaign, over 5000 pair samples of temporally matched 1-minute averaged drop size distribution (DSD) measurements have been recorded by two side-by-side (frequently calibrated) 2D-video disdrometers. The measurement campaign was conducted in Huntsville, Alabama, over a ten-month period, and includes a variety of rain types and regimes. The datasets have been used to examine, (i) the relationship between the mass-weighted mean diameter (D m ) and the standard deviation of the mass spectrum (σ M ) without any assumption on the DSD form, and (ii) the relationship between the shape parameter (μ) and slope parameter (Λ) of the gamma form of the DSD. A number of methods were used to estimate μ and Λ, including: a normalizing procedure, the method of moments, the maximum likelihood method and the L-moment method. The physical validity of the σ M –D m relationship is examined by, (i) relating the estimated D m versus the estimated σ M from the same disdrometer datasets and, (ii) by ‘cross-relating’ D m from one disdrometer with the corresponding σ M from the second disdrometer dataset. The same procedures were repeated to examine the physical validity of the μ–Λ relation. It is shown that the transformed variable σ M ′ = σ M D m − 1.65 , which is uncorrelated with D m , has a narrow histogram and that σ M ′ ≈ constant can form a constraint which may well be applicable to other rain climatologies. For the μ–Λ relationship, the variation between μ from one unit and Λ by the second unit showed, as expected, larger scatter than using estimates from the same unit but not excessively so given that the μ estimates from the two units themselves show some instrument-to-instrument variability. While we cannot ascertain that the removal of any statistical correlations necessarily implies that the μ–Λ relation is physical, we have gone on to show that instrument limitations of accurately measuring the number concentration at the small drop end (D
- Published
- 2014
39. Shipborne Polarimetric Weather Radar: Impact of Ship Movement on Polarimetric Variables at C Band
- Author
-
Peter T. May, Merhala Thurai, and A. Protat
- Subjects
Physics ,Atmospheric Science ,Scattering ,Movement (music) ,C band ,Polarimetry ,Elevation ,Ocean Engineering ,Differential reflectivity ,law.invention ,Computational physics ,law ,Weather radar ,Radar ,Remote sensing - Abstract
The effect of ship motion on shipborne polarimetric radar measurements is considered at C band. Calculations are carried out by (i) varying the “effective” mean canting angle and (ii) separately examining the elevation dependence. Scattering from a single oblate hydrometeor is considered at first. Equations are derived (i) to convert the measured differential reflectivity for nonzero mean canting angles to those for zero mean canting angle and (ii) to do the corresponding corrections for nonzero elevation angles. Scattering calculations are also performed using the T-matrix method with measured drop size distributions as input. Dependence on mean volume diameter is examined as well as variations of the four main polarimetric parameters. The results show that as long as the ship movement is limited to a roll of less than about 10°–15°, the effects are tolerable. Furthermore, the results from the scattering simulations have been used to provide equations for correction factors that can be applied to compensate for the “apparent” nonzero canting angles and nonzero elevation angles, so that drop size distribution parameters and rainfall rates can be estimated without any bias.
- Published
- 2014
40. Large raindrops against melting hail: calculation of specific differential attenuation, phase and reflectivity
- Author
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Branislav M. Notaros, V. N. Bringi, Merhala Thurai, and Elene Chobanyan
- Subjects
Physics ,business.industry ,Scattering ,Attenuation ,Torus ,Conical surface ,Method of moments (statistics) ,humanities ,Differential phase ,Computational physics ,Optics ,Phase (matter) ,T-matrix method ,Electrical and Electronic Engineering ,business ,Computer Science::Databases - Abstract
The specific differential attenuation caused by large raindrops and a special form of melting hail is computed and studied. Raindrops of smoothed conical shapes and hailstones modelled by an ice sphere surrounded by a water torus are considered. For the former, scattering computation is carried out by the T-matrix method, while the higher-order method of moments in the surface integral equation formulation is used for the latter. Results show a much higher specific differential attenuation factor for hail particles, with the smallest hail showing values similar to the largest raindrops. This can explain the higher than expected differential attenuation observed by C-band radars in intense storms as reported in some previous studies. Results also show that the melting hail particles exhibit higher specific differential phase factor than large raindrops, but have similar differential reflectivity.
- Published
- 2015
41. A Robust C-Band Hydrometeor Identification Algorithm and Application to a Long-Term Polarimetric Radar Dataset
- Author
-
Merhala Thurai, V. Chandrasekar, Steven A. Rutledge, Brenda Dolan, and Sanghun Lim
- Subjects
Atmospheric Science ,Meteorology ,Correlation coefficient ,C band ,Scattering ,Polarimetry ,Snow ,Differential phase ,law.invention ,law ,Environmental science ,S band ,Radar ,Algorithm ,Remote sensing - Abstract
A new 10-category, polarimetric-based hydrometeor identification algorithm (HID) for C band is developed from theoretical scattering simulations including wet snow, hail, and big drops/melting hail. The HID is applied to data from seven wet seasons in Darwin, Australia, using the polarimetric C-band (C-POL) radar, to investigate microphysical differences between monsoon and break periods. Scattering simulations reveal significant Mie effects with large hail (diameter > 1.5 cm), with reduced reflectivity and enhanced differential reflectivity Zdr and specific differential phase Kdp relative to those associated with S band. Wet snow is found to be associated with greatly depreciated correlation coefficient ρhv and moderate values of Zdr. It is noted that large oblate liquid drops can produce the same electromagnetic signatures at C band as melting hail falling quasi stably, resulting in some ambiguity in the HID retrievals. Application of the new HID to seven seasons of C-POL data reveals that hail and big drops/melting hail occur much more frequently during break periods than during monsoon periods. Break periods have a high frequency of vertically aligned ice above 12 km, suggesting the presence of strong electric fields. Reflectivity and mean drop diameter D0 statistics demonstrate that convective areas in both monsoon and break periods may have robust coalescence or melting precipitation ice processes, leading to enhanced reflectivity and broader distributions of D0. Conversely, for stratiform regions in both regimes, mean reflectivity decreases below the melting level, indicative of evaporative processes. Break periods also have larger ice water path fractions, indicating substantial mixed-phase precipitation generation as compared with monsoonal periods. In monsoon periods, a larger percentage of precipitation is produced through warm-rain processes.
- Published
- 2013
42. Microphysical characteristics analysis of three heavy snowfall events from the MASCRAD campaign in Greeley, Colorado, USA
- Author
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Wonbae Bang, Merhala Thurai, Kwonil Kim, V. N. Bringi, GyuWon Lee, Bramslav Notaros, and Patrick C. Kennedy
- Subjects
Sensor system ,010504 meteorology & atmospheric sciences ,Meteorology ,020206 networking & telecommunications ,02 engineering and technology ,Snow field ,Snow ,01 natural sciences ,Weather station ,law.invention ,Disdrometer ,law ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,Precipitation ,Radar ,Snowflake ,0105 earth and related environmental sciences - Abstract
Analysis of data from three snow events during the MASCRAD winter campaign in Greeley, Colorado, USA, are presented. The campaign entailed multi-angle snowflake camera (MASC), 2D-video disdrometer, precipitation occurrence sensor system, Pluvio gauge, weather station, all installed at the well-established MASCRAD (MASC + Radar) snow field site, as well as state-of-the-art S- and X-band polarimetric radars. We present here microphysical characteristics analysis for three heavy snowfall cases, on (a) 21–22 Feb 2015, (b) 15 Dec 2015, and (c) 01–02 Feb 2016.
- Published
- 2016
43. Snow precipitation measurement and analysis during MASCRAD Winter observations
- Author
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Andrew J. Newman, G.-J. Huang, Cameron Kleinkort, Patrick C. Kennedy, Merhala Thurai, V. N. Bringi, Branislav M. Notaros, and Sanja B. Manic
- Subjects
010504 meteorology & atmospheric sciences ,Meteorology ,Polarimetry ,020206 networking & telecommunications ,02 engineering and technology ,Precipitation measurement ,Snow ,01 natural sciences ,law.invention ,Disdrometer ,law ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,Precipitation ,Snowflake ,Radar ,0105 earth and related environmental sciences ,Remote sensing - Abstract
We present our continued studies of winter precipitation within the MASCRAD (MASC + Radar) project, using multi-angle snowflake camera (MASC), 2D-video disdrometer, computational electromagnetic scattering methods, and state-of-the-art polarimetric radar. We also introduce some recent advancements to the observation and analysis process, and discuss new illustrative results.
- Published
- 2016
44. Measurement and analysis of rain precipitation at MASCRAD Instrumentation Site in Colorado
- Author
-
Branislav M. Notaros, Patrick C. Kennedy, Merhala Thurai, V. N. Bringi, and Sanja B. Manic
- Subjects
010504 meteorology & atmospheric sciences ,Meteorology ,Spectrometer ,Instrumentation ,020206 networking & telecommunications ,02 engineering and technology ,01 natural sciences ,Space-based radar ,law.invention ,Disdrometer ,law ,Wave radar ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,Weather radar ,Precipitation ,Radar ,0105 earth and related environmental sciences ,Remote sensing - Abstract
We present our ongoing studies of rain precipitation synergistically using a 2D-video disdrometer, particle spectrometer, precipitation occurrence sensor system, Pluvio precipitation gauge, state-of-the-art polarimetric CSU-CHILL radar, and a higher order electromagnetic scattering method. We present and discuss measurements and analyses for several rain events in 2015 at MASCRAD Instrumentation Site in Colorado.
- Published
- 2016
45. Propagation effects at X-band from the 2015 rain measurement campaign in Greeley, Colorado
- Author
-
Merhala Thurai, Patrick C. Kennedy, V. N. Bringi, Steven A. Rutledge, and Branislav M. Notaros
- Subjects
010504 meteorology & atmospheric sciences ,Rain gauge ,Early-warning radar ,Meteorology ,Attenuation ,020206 networking & telecommunications ,02 engineering and technology ,01 natural sciences ,Space-based radar ,law.invention ,law ,0202 electrical engineering, electronic engineering, information engineering ,3D radar ,Environmental science ,Weather radar ,Radar ,Correction for attenuation ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Propagation effects relating to rainfall remote sensing at X-band are examined using data from an event which occurred during a six-month rain measurement campaign in Greeley, Colorado. The campaign involved three disdrometers, a rain gauge, and polarimetric radar measurements at S and X bands. Attenuation correction schemes using well-established procedures are applied to the radar data. Use of the specific attenuation derived from the correction procedures for estimating rainfall rates is examined.
- Published
- 2016
46. Estimating the Accuracy of Polarimetric Radar–Based Retrievals of Drop-Size Distribution Parameters and Rain Rate: An Application of Error Variance Separation Using Radar-Derived Spatial Correlations
- Author
-
V. N. Bringi, Lawrence D. Carey, Elise V. Schultz, Patrick Gatlin, Walter A. Petersen, and Merhala Thurai
- Subjects
Atmospheric Science ,Spatial correlation ,Meteorology ,Polarimetry ,Mode (statistics) ,Variance (accounting) ,law.invention ,Disdrometer ,law ,Feature (computer vision) ,Environmental science ,Precipitation ,Radar ,Remote sensing - Abstract
The accuracy of retrieving the two drop size distribution (DSD) parameters, median volume diameter (D0), and normalized intercept parameter (NW), as well as rain rate (R), from polarimetric C-band radar data obtained during a cool-season, long-duration precipitation event in Huntsville, Alabama, is examined. The radar was operated in a special “near-dwelling” mode over two video disdrometers (2DVD) located 15 km away. The polarimetric radar–based retrieval algorithms for the DSD parameters and rain rate were obtained from simulations using the 2DVD measurements of the DSD. A unique feature of this paper is the radar-based estimation of the spatial correlation functions of the two DSD parameters and rain rate that are used to estimate the “point-to-area” variance. A detailed error variance separation is performed, including the aforementioned point-to-area variance, along with variance components due to the retrieval algorithm error, radar measurement error, and disdrometer sampling error. The spatial decorrelation distance was found to be smallest for the R (4.5 km) and largest for D0 (8.24 km). For log10(NW), it was 7.22 km. The proportion of the variance of the difference between radar-based estimates and 2DVD measurements that could be explained by the aforementioned errors was 100%, 57%, and 73% for D0, log10(NW), and R, respectively. The overall accuracy of the radar-based retrievals for the particular precipitation event quantified in terms of the fractional standard deviation were estimated to be 6.8%, 6%, and 21% for D0, log10(NW), and R, respectively. The normalized bias was
- Published
- 2012
47. Characteristics of raindrop spectra as normalized gamma distribution from a Joss–Waldvogel disdrometer
- Author
-
Dawei Han, Tanvir Islam, Miguel A. Rico-Ramirez, and Merhala Thurai
- Subjects
Convection ,Atmospheric Science ,Disdrometer ,Meteorology ,Drop (liquid) ,Concentration parameter ,Gamma distribution ,Environmental science ,Precipitation ,Spectral line ,Shape parameter - Abstract
The raindrop spectra observed in a precipitation system is a complex phenomenon that can help to explain the underlying physical processes of rainfall. This paper explores the characteristics of raindrop spectra in terms of drop size distributions (DSD) using seven years of Joss–Waldvogel disdrometer data within the mid-latitude UK region climatology. A total of 162,415 one-minute “filtered” raindrop spectra obtained from the disdrometer are fitted into a normalized gamma DSD model describing DSDs by the concentration parameter (Nw), the drop diameter (Dm and D0), and the shape parameter (μ). The results show that the rain rates retrieved from the normalized gamma DSD model are in good agreement with the disdrometer measured rain rates, implying the appropriateness of the raindrop spectra as normalized gamma distributions. The DSD characteristics are studied in different seasonal (“cold” and “warm”), atmospheric (“dry” and “wet”) as well as rain type (“stratiform” and “convective”) contexts in a long-term perspective. It has been revealed that the normalized gamma DSD parameters are very sensitive to the rain intensities. The mass weighted mean drop diameter Dm clearly increases exponentially with respect to the rain intensities. Variation of the DSDs in different contexts is also exposed reflecting seasonal, atmospheric and rain type consequence on raindrop spectra. Particularly, the scatterplot between the concentration parameter log10Nw and the median drop diameter D0 exhibits clear separation index between stratiform and convective DSDs. There is a large difference in averaged mass weighted mean drop diameters among stratiform and convective segments (stratiform = 0.988 mm versus convective = 1.99 mm). The DSD inconsistency in different contexts have been further examined in terms of the Z–R relationships (Z = aRb) variability. Additionally, 10 selected events taken place during the study period are also investigated, in which each of the events has shown unique DSD characteristics.
- Published
- 2012
48. The Queensland Cloud Seeding Research Program
- Author
-
Matthew Pocernich, Peter R. Buseck, Roger Stone, Scott Collis, Roelof Bruintjes, Steven T. Siems, Charles A. Knight, Louise Wilson, Merhala Thurai, Acacia Pepler, Courtney Weeks, Peter T. May, V. N. Bringi, Lynne Turner, Sarah A. Tessendorf, Harald Richter, Michael J. Manton, James W. Wilson, Evelyn Freney, Stuart Piketh, Rita D. Roberts, Roelof Burger, David McRae, Michael Dixon, Kyoko Ikeda, Duncan Axisa, Eric Nelson, Don R. Collins, and Justin R. Peter
- Subjects
Atmospheric Science ,Research program ,education.field_of_study ,Meteorology ,Population ,Cloud seeding ,Environmental science ,Seeding ,Economic shortage ,Precipitation ,education - Abstract
As a response to extreme water shortages in southeast Queensland, Australia, brought about by reduced rainfall and increasing population, the Queensland government decided to explore the potential for cloud seeding to enhance rainfall. The Queensland Cloud Seeding Research Program (QCSRP) was conducted in the southeast Queensland region near Brisbane during the 2008/09 wet seasons. In addition to conducting an initial exploratory, randomized (statistical) cloud seeding study, multiparameter radar measurements and in situ aircraft microphysical data were collected. This comprehensive set of observational platforms was designed to improve the physical understanding of the effects of both ambient aerosols and seeding material on precipitation formation in southeast Queensland clouds. This focus on gaining physical understanding, along with the unique combination of modern observational platforms utilized in the program, set it apart from previous cloud seeding research programs. The overarching goals of the ...
- Published
- 2012
49. A Robust Error-Based Rain Estimation Method for Polarimetric Radar. Part I: Development of a Method
- Author
-
Acacia Pepler, Peter T. May, and Merhala Thurai
- Subjects
Atmospheric Science ,Disdrometer ,law ,Polarimetry ,Range (statistics) ,Inverse ,Development (differential geometry) ,Precipitation ,Variance (accounting) ,Radar ,law.invention ,Remote sensing ,Mathematics - Abstract
The algorithms used to estimate rainfall from polarimetric radar variables show significant variance in error characteristics over the range of naturally occurring rain rates. As a consequence, to improve rainfall estimation accuracy using polarimetric radar, it is necessary to optimally combine a number of different algorithms. In this study, a new composite method is proposed that weights the algorithms by the inverse of their theoretical error. A number of approaches are discussed and are investigated using simulated radar data calculated from disdrometer measurements. The resultant algorithms show modest improvement over composite methods based on decision-tree logic—in particular, at rain rates above 20 mm h−1.
- Published
- 2011
50. Do We Observe Aerosol Impacts on DSDs in Strongly Forced Tropical Thunderstorms?
- Author
-
V. N. Bringi, Merhala Thurai, and Peter T. May
- Subjects
Atmospheric Science ,Drop size ,Volume (thermodynamics) ,law ,Thunderstorm ,Environmental science ,Probability distribution ,Storm ,Radar ,Atmospheric sciences ,law.invention ,Aerosol - Abstract
Rain drop size distributions retrieved from polarimetric radar measurements over regularly occurring thunderstorms over the islands north of Darwin, Australia, are used to test if aerosol contributions to the probability distributions of the drop size distribution parameters (median volume diameter and normalized intercept parameter) are detectable. The observations reported herein are such that differences in cloud properties arising from thermodynamic differences are minimized but even so may be a factor. However, there is a clear signature that high aerosol concentrations are correlated with smaller number concentrations and larger drops. This may be associated with enhanced ice multiplication processes for low aerosol concentration storms or other processes such as invigoration of the updrafts.
- Published
- 2011
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