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Dive into the research topics where Ali Tokay is active.

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Featured researches published by Ali Tokay.


Journal of Applied Meteorology | 1996

Evidence from Tropical Raindrop Spectra of the Origin of Rain from Stratiform versus Convective Clouds

Ali Tokay; David A. Short

Abstract An analysis of temporal variations in gamma parameters of raindrop spectra is presented utilizing surface-based observations from the Tropical Ocean Global Atmosphere Couple Ocean-Atmosphere Experiment. An observed dramatic change in the N0 parameter, found to occur during rainfall events with little change in rainfall rate, is suggestive of a transition from rain of convective origin to rain originating from the stratiform portion of tropical systems. An empirical stratiform-convective classification method based on N0 and R (rainfall rate) is presented. Properties of the drop size spectra from the stratiform classification are consistent with micro-physical processes occurring within an aggregation/melting layer aloft, which produces more large raindrops and fewer small to medium size raindrops than rain from the convective classification, at the same rainfall rate. The occurrence of precipitation was found to be 74% (stratiform) and 26% (convective), but total rainfall, on the other hand, was ...


Journal of Applied Meteorology | 2002

X-Band polarimetric radar measurements of rainfall

Sergey Y. Matrosov; Kurt A. Clark; Brooks E. Martner; Ali Tokay

Abstract A combined polarimetric estimator for rainfall rate (R) retrievals from polarimetric radar measurements at X band is proposed. This estimator uses the horizontal polarization radar reflectivity Ze, differential reflectivity ZDR, and specific differential phase shift KDP, and it intrinsically accounts for changes in how drop oblateness increases with size. Because this estimator uses power measurements (i.e., Ze and ZDR), a procedure for correcting these measurements for effects of partial attenuation and differential attenuation using the differential phase measurement is suggested. An altitude correction for estimates of rainfall rates is also suggested. The proposed combined polarimetric estimator that uses KDP, ZDR, and Ze, an estimator that uses KDP alone for equilibrium drop shapes, and different Ze–R relations were applied to the 15 rain events observed with the NOAA X-band transportable polarimetric radar during the eight-week field campaign at the NASA Wallops Island facility in Virginia....


Journal of the Atmospheric Sciences | 1991

An Explanation for the Existence of Supercooled Water at the Top of Cold Clouds

Robert M. Rauber; Ali Tokay

Abstract Aircraft measurements in many cold cloud systems have found a narrow layer of supercooled water to exist at the cloud top, even at temperatures colder than −30°C. We show in this paper that the imbalance between the condensate supply rate and the bulk ice crystal mass growth rate at a wide range of temperatures and updraft speeds is sufficient to produce this liquid layer near cloud top because of the unique property that the ice crystals located there are small. Calculations are also presented to determine the minimum magnitude and maximum depth of a sustained updraft required to produce supercooled water near cloud top from an initially ice saturated cloud containing a population of ice crystals. Potential sources of the updraft circulations required to produce the liquid layer near cloud top are discussed. Finally, we consider the impact of the liquid layer on both cloud microstructure and precipitation processes.


Journal of Applied Meteorology | 1999

Tropical Rainfall Associated with Convective and Stratiform Clouds: Intercomparison of Disdrometer and Profiler Measurements

Ali Tokay; David A. Short; Christopher R. Williams; Warner L. Ecklund; Kenneth S. Gage

The motivation for this research is to move in the direction of improved algorithms for the remote sensing of rainfall, which are crucial for meso- and large-scale circulation studies and climate applications through better determinations of precipitation type and latent heating profiles. Toward this end a comparison between two independent techniques, designed to classify precipitation type from 1) a disdrometer and 2) a 915-MHz wind profiler, is presented, based on simultaneous measurements collected at the same site during the Intensive Observing Period of the Tropical Ocean Global Atmosphere Coupled Ocean‐Atmosphere Response Experiment. Disdrometer-derived quantities such as differences in drop size distribution parameters, particularly the intercept parameter N0 and rainfall rate, were used to classify rainfall as stratiform or convective. At the same time, profiler-derived quantities, namely, Doppler velocity, equivalent reflectivity, and spectral width, from Doppler spectra were used to classify precipitation type in four categories: shallow convective, deep convective, mixed convective‐stratiform, and stratiform. Overall agreement between the two algorithms is found to be reasonable. Given the disdrometer stratiform classification, the mean profile of reflectivity shows a distinct bright band and associated large vertical gradient in Doppler velocity, both indicators of stratiform rain. For the disdrometer convective classification the mean profile of reflectivity lacks a bright band, while the vertical gradient in Doppler velocity below the melting level is opposite to the stratiform case. Given the profiler classifications, in the order shallow‐deep‐mixed‐stratiform, the composite raindrop spectra for a rainfall rate of 5 mm h 21 show an increase in D0, the median volume diameter, consistent with the dominant microphysical processes responsible for drop formation. Nevertheless, the intercomparison does reveal some limitations in the classification methodology utilizing the disdrometer or profiler algorithms in isolation. In particular, 1) the disdrometer stratiform classification includes individual cases in which the vertical profiles appear convective, but these usually occur at times when the disdrometer classification is highly variable; 2) the profiler classification scheme also appears to classify precipitation too frequently as stratiform by including cases that have small vertical Doppler velocity gradients at the melting level but no bright band; and 3) the profiler classification scheme includes a category of mixed (stratiform‐convective) precipitation that has some features in common with deep convection (e.g., enhanced spectral width above the melting level) but other features in common with stratiform precipitation (e.g., well-developed melting layer signature). Comparison of the profiler-derived vertical structure with disdrometer-determined rain rates reveals that almost all cases of rain rates greater than 10 mm h 21 are convective. For rain rates less than 5 mm h21 all four profiler-determined precipitation classes are well represented.


Journal of Atmospheric and Oceanic Technology | 2013

Comparison of Raindrop Size Distribution Measurements by Collocated Disdrometers

Ali Tokay; Walter A. Petersen; Patrick Gatlin; Matthew Wingo

AbstractAn impact-type Joss–Waldvogel disdrometer (JWD), a two-dimensional video disdrometer (2DVD), and a laser optical OTT Particle Size and Velocity (PARSIVEL) disdrometer (PD) were used to measure the raindrop size distribution (DSD) over a 6-month period in Huntsville, Alabama. Comparisons indicate event rain totals for all three disdrometers that were in reasonable agreement with a reference rain gauge. In a relative sense, hourly composite DSDs revealed that the JWD was more sensitive to small drops (<1 mm), while the PD appeared to severely underestimate small drops less than 0.76 mm in diameter. The JWD and 2DVD measured comparable number concentrations of midsize drops (1–3 mm) and large drops (3–5 mm), while the PD tended to measure relatively higher drop concentrations at sizes larger than 2.44 mm in diameter. This concentration disparity tended to occur when hourly rain rates and drop counts exceeded 2.5 mm h−1 and 400 min−1, respectively. Based on interactions with the PD manufacturer, the p...


Bulletin of the American Meteorological Society | 2014

The Chuva Project: How Does Convection Vary across Brazil?

Luiz A. T. Machado; Maria A. F. Silva Dias; Carlos A. Morales; Gilberto Fisch; Daniel Vila; Rachel I. Albrecht; Steven J. Goodman; Alan J. P. Calheiros; Thiago Biscaro; Christian D. Kummerow; Júlia Clarinda Paiva Cohen; David R. Fitzjarrald; Ernani L. Nascimento; Meiry S. Sakamoto; Christopher Cunningham; Jean-Pierre Chaboureau; Walter A. Petersen; David K. Adams; Luca Baldini; Carlos F. Angelis; Luiz F. Sapucci; Paola Salio; Henrique M. J. Barbosa; Eduardo Landulfo; Rodrigo Augusto Ferreira de Souza; Richard J. Blakeslee; Jeffrey C. Bailey; Saulo R. Freitas; Wagner Flauber Araujo Lima; Ali Tokay

CHUVA, meaning “rain” in Portuguese, is the acronym for the Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud-Resolving Modeling and to the Global Precipitation Measurement (GPM). The CHUVA project has conducted five field campaigns; the sixth and last campaign will be held in Manaus in 2014. The primary scientific objective of CHUVA is to contribute to the understanding of cloud processes, which represent one of the least understood components of the weather and climate system. The five CHUVA campaigns were designed to investigate specific tropical weather regimes. The first two experiments, in Alcantara and Fortaleza in northeastern Brazil, focused on warm clouds. The third campaign, which was conducted in Belem, was dedicated to tropical squall lines that often form along the sea-breeze front. The fourth campaign was in the Vale do Paraiba of southeastern Brazil, which is a region with intense lightning activity. In addition to contributing to the understanding of clo...


Journal of Atmospheric and Oceanic Technology | 2005

Error Characteristics of Rainfall Measurements by Collocated Joss–Waldvogel Disdrometers

Ali Tokay; Paul G. Bashor; Katherine R. Wolff

Abstract Error characteristics of rainfall measurements were studied using six collocated Joss–Waldvogel (JW) disdrometers that are located at NASA’s Wallops Flight Facility. The six disdrometer means of rain rate R, reflectivity Z, and differential reflectivity ZDR, for a given minute were considered as a reference. The maximum deviations of R, Z, and ZDR from the mean in a rain event were 0.6 mm h−1, 1.3 dB, and 0.05 dB, respectively. Rainfall statistics were then examined between disdrometer pairs. The root-mean-square (rms) difference of R, Z, and ZDR between paired disdrometers in a rain event were as high as 3.2 mm h−1, 3.7 dB, and 0.3 dB, respectively. The rms difference of R and ZDR were even higher when the disdrometer observations were stratified based on reflectivity intervals. The differences in disdrometer rainfall measurements have a potential impact when the disdrometers are considered as calibration tools for vertically pointing and scanning radars. The differences between the disdrometer ...


Journal of Geophysical Research | 2002

Measurements of drop size distribution in the southwestern Amazon basin

Ali Tokay; Anton Kruger; Witold F. Krajewski; Paul A. Kucera; Augusto José Pereira Filho

[1] Simultaneous observations of an optical and an impact type disdrometer and their application in radar rainfall estimation are evaluated. The disdrometers and two collocated rain gauges were operated in the southwest Amazon region of Brazil in 1999 as part of a NASA Tropical Rainfall Measuring Mission (TRMM) field campaign and the hydrometeorological component of the Large Scale Biosphere-Atmosphere Experiment (LBA). During the experiment, we observed large drops with diameters greater than 5 mm. These large drops were not adequately detected by the impact disdrometer and resulted in differences in drop size distribution and integral rain parameters derived from the two sensors. Considering coincident observations, we calculated that the impact disdrometer recorded about 11% lower rainfall accumulations than the optical disdrometer. In addition, radar rainfall algorithms, which we derived from the impact and optical disdrometer measurements, showed instrument dependency. Out of four radar rainfall algorithms that we considered, rain rate derived from specific differential phase has the least dependency, while the rain rate derived from reflectivity at horizontal polarization and differential reflectivity combined exhibited the largest. We also observed the characteristics of rainfall and drop size distribution in two distinct wind regimes present during the TRMM - LBA field campaign. Rain was heavier in the easterly regime, with more large drops being present.


Journal of Applied Meteorology and Climatology | 2010

WRF Simulations of the 20–22 January 2007 Snow Events over Eastern Canada: Comparison with In Situ and Satellite Observations

Jainn J. Shi; W-K. Tao; Toshihisa Matsui; Robert Cifelli; Arthur Y. Hou; Stephen E. Lang; Ali Tokay; N.-Y. Wang; C. Peters-Lidard; Gail Skofronick-Jackson; Steven A. Rutledge; Walt Petersen

Abstract One of the grand challenges of the Global Precipitation Measurement (GPM) mission is to improve cold-season precipitation measurements in mid- and high latitudes through the use of high-frequency passive microwave radiometry. For this purpose, the Weather Research and Forecasting model (WRF) with the Goddard microphysics scheme is coupled with a Satellite Data Simulation Unit (WRF–SDSU) to facilitate snowfall retrieval algorithms over land by providing a virtual cloud library and corresponding microwave brightness temperature measurements consistent with the GPM Microwave Imager (GMI). When this study was initiated, there were no prior published results using WRF at cloud-resolving resolution (1 km or finer) for high-latitude snow events. This study tested the Goddard cloud microphysics scheme in WRF for two different snowstorm events (a lake-effect event and a synoptic event between 20 and 22 January 2007) that took place over the Canadian CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Sat...


Journal of Atmospheric and Oceanic Technology | 2003

Rain Gauge and Disdrometer Measurements during the Keys Area Microphysics Project (KAMP)

Ali Tokay; David B. Wolff; Katherine R. Wolff; Paul G. Bashor

Abstract Four impact disdrometers and 27 tipping bucket rain gauges were operated at 11 different sites during August and September 2001, as part of the Keys Area Microphysics Project. The rain gauge and disdrometer network was designed to study the range dependency of radar calibration and rainfall verification in tropical storms. The gauges were collocated at eight sites, while three to five gauge clusters were deployed at three sites. Four disdrometers were also collocated with rain gauges. Overall the experiment was quite successful, although some problems did occur including flooding of gauge loggers, vandalism, and excessive noise at disdrometer sites. Both a south-to-north and east-to-west rainfall gradient was observed, whereby the gauges on the western and northern sides of the Lower Keys recorded more rainfall. Considering the campaign-long rain accumulations, collocated gauges agreed well, with differences generally less than 2%, except for one gauge cluster where the rain accumulation differen...

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Walter A. Petersen

Marshall Space Flight Center

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Patrick Gatlin

Marshall Space Flight Center

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David B. Wolff

Goddard Space Flight Center

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Christopher R. Williams

University of Colorado Boulder

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Kenneth S. Gage

National Oceanic and Atmospheric Administration

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Lawrence D. Carey

University of Alabama in Huntsville

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V. N. Bringi

Colorado State University

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Merhala Thurai

Colorado State University

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Robert Meneghini

Goddard Space Flight Center

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