Statistical characteristics of raindrop size distribution  during rainy seasons in the Beijing urban area and  implications for radar rainfall estimation

Ma, Yixin; Ni, Guangheng; Chandra, Chandrasekar V.; Chen, Haonan

doi:10.5194/hess-23-4153-2019

Cited by 49 publications

(29 citation statements)

References 64 publications

(91 reference statements)

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“…Characterization of RSDs offers the opportunity to design radar rainfall estimation algorithms (Ryzhkov and Zrnić, 1995), improve the cloud modeling parameterization (McFarquhar et al, 2015), assess the rainfall erosivity relations (Janapati et al, 2019), validate the remote sensing instruments (Liao et al, 2014;Nakamura and Iguchi, 2007), and appraise the rain attenuations . Owing to the aforementioned implications of RSDs, ample literature exists on RSDs for spatial and seasonal variations (Thompson et al, 2015;Jayalakshmi and Reddy, 2014;Seela et al, 2016Seela et al, , 2017Seela et al, , 2018Krishna et al, 2016) and storm-to-storm, within-storm (Kumari et al, 2014;Maki et al, 2001;Jung et al, 2012;Bao et al, 2020;Janapati et al, 2017), and different precipitation (Tokay and Short, 1996;Krishna et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Microphysical features of typhoon and non-typhoon rainfall observed in Taiwan, an island in the northwestern Pacific

Janapati

Seela

Lin

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Information about the raindrop size distribution (RSD) is vital for comprehending the precipitation microphysics, improving the rainfall estimation algorithms, and appraising the rainfall erosivity. Previous research has revealed that the RSD exhibits diversity with geographical location and weather type, which leads to the assessment of the region and weather-specific RSDs. Based on long-term (2004 to 2016) disdrometer measurements in northern Taiwan, this study attempts to demonstrate the RSD aspects of summer seasons that were bifurcated into two weather conditions, namely typhoon (TY) and non-typhoon (NTY) rainfall. The results show a higher concentration of small drops and a lower concentration of large-sized drops in TY compared to NTY rainfall, and this behavior persisted even after characterizing the RSDs into different rainfall rate classes. RSDs expressed in gamma parameters show higher mass-weighted mean diameter (Dm) and lower normalized intercept parameter (Nw) values in NTY than TY rainfall. Moreover, sorting these two weather conditions (TY and NTY rainfall) into stratiform and convective regimes revealed a larger Dm in NTY than in TY rainfall. The RSD empirical relations used in the valuation of rainfall rate (Z–R, Dm–R, and Nw–R) and rainfall kinetic energy (KE–R and KE–Dm) were enumerated for TY and NTY rainfall, and they exhibited profound diversity between these two weather conditions. Attributions of RSD variability between the TY and NTY rainfall to the thermodynamical and microphysical processes are elucidated with the aid of reanalysis, remote sensing, and ground-based data sets.

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Section: Introductionmentioning

confidence: 99%

Microphysical features of typhoon and non-typhoon rainfall observed in Taiwan, an island in the northwestern Pacific

Janapati

Seela

Lin

et al. 2021

Hydrol. Earth Syst. Sci.

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“…Beijing is to the The dark green and light brown rectangles from Bringi et al (2003) represent the "maritime-like" and "continental-like" cluster, respectively. The smaller (larger) markers refer to the mean value of lg(Nw) and D m for all rain events (convective rain): green circles for Chongqing in this study, magenta hexagons for Nanjing (L. , red pentagrams are for Beijing (Ma et al,2019), yellow squares for Zhuhai (A. Zhang et al, 2019) and white diamond for Daocheng in the southeast of Tibetan Plateau (Wang et al, 2020).…”

Section: Summer Rainfall Rsd Characteristics and Diagnosed Parameter Relationsmentioning

confidence: 94%

“…Wen et al, 2016L. Wen et al, , 2017Seela et al, 2018;Ji et al, 2019;Ma et al, 2019;Fu et al, 2020;Luo et al, 2020;Wang et al, 2020). Even in the same region, RSD features vary with altitudes (B.…”

mentioning

confidence: 99%

“…Chen et al, 2016;L. Wen et al, 2017;Ma et al, 2019;Wang et al, 2020), but few studies have focused on the RSD characteristics in the Southwest China, despite its vast area and unique weather patterns influenced by the Tibetan Plateau and the monsoon from the Indian Ocean (Ding & Chan, 2005). Chongqing is the largest municipality in the Southwest China and is over 700 km away from the nearest sea.…”

mentioning

confidence: 99%

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Characteristics of Raindrop Size Distributions in Chongqing Observed by a Dense Network of Disdrometers

et al. 2021

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This study investigates the characteristics of raindrop size distribution (RSD) including the temporal and spatial variabilities and the summer rain RSD features using 34 Parsivel disdrometers data from Jan. 2015 to Jan. 2016 in Chongqing, an inland municipality in Southwest China. The observed RSDs are fitted with the gamma distribution (N(D) = N0Dμe−λD) in this study. Rainfall in summer differs greatly from winter with larger rain rate, rain water content and variabilities. From winter to summer, raindrop sizes increase as the frequency of convective rain increases, and the diurnal variabilities of raindrop sizes are greatly enlarged. The spatial variabilities of N0, λ and μ are relatively weak and change little in summer. The summer rainfall RSD characteristics and parameter relationships in Chongqing are different from other regions (Nanjing, Beijing, Zhuhai and Daocheng) in China. A novel diagnosed relation between the shape parameter of the gamma distribution (μ) and the mean volume diameter (Dv) is proposed based on the large amount of observations, which allows for a wider range of the mean volume diameter of raindrops compared to traditional μ − λ relations in microphysics parameterizations.

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“…[5]. Numerous studies focus on characteristics of rain PSD worldwide [6][7][8][9][10][11][12][13][14][15][16][17][18][19] and radar quantitative precipitation estimation (QPE) [20][21][22][23]. Similar to rain PSD, understanding snow PSD is of great importance in remote sensing and characterizing the microphysics of snowstorms [24].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea

Chandrasekar

Xiao

et al. 2020

Atmosphere

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Snow particle size distribution (PSD) information is important in understanding the microphysics and quantitative precipitation estimation over complex terrain. Measurement and interpretation of the snow PSDs is a topic of active research. This study investigates snow PSDs during 3 year of observations from Parsivel2 disdrometers and precipitation imaging packages (PIP) at five different sites in the PyeongChang region of South Korea. Variabilities in the values of the density of snow (ρ), snowfall rate (S), and ice water content (IWC) are studied. To further understand the characteristics of snow PSD at different density and snowfall rate, the snow particle size distribution measurements are divided into six classes based on the density values of snowfall and five classes based on snowfall rates. The mean shape factors (Dm, log10Nw, and μ) of normalized gamma distribution are also derived based on different density and snowfall rate classes. The Dm decreases and log10Nw and μ increase as the density increases. The Dm and log10Nw increase and μ decreases with the increase of snowfall rate. The power-law relationship between ρ and Dm is obtained and the relationship between S and IWC is also derived.

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Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation

Cited by 49 publications

References 64 publications

Microphysical features of typhoon and non-typhoon rainfall observed in Taiwan, an island in the northwestern Pacific

Microphysical features of typhoon and non-typhoon rainfall observed in Taiwan, an island in the northwestern Pacific

Characteristics of Raindrop Size Distributions in Chongqing Observed by a Dense Network of Disdrometers

Characteristics of Snow Particle Size Distribution in the PyeongChang Region of South Korea

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