Diagnostic study of generalized moist potential vorticity in a non‐uniformly saturated atmosphere with heavy precipitation

Liang, Zhaoming; Lu, Chungu; Tollerud, Edward I.

doi:10.1002/qj.636

Cited by 15 publications

(13 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2017) for India; Thorncroft and Hodges () for Africa; Ruiz () for Argentina; Liang et al . () for China; Kouroutzoglou et al . () and Darand () for Iran; Varrias et al .…”

Section: Resultssupporting

confidence: 93%

The relationships between precipitation amounts, number of rain days, and relative vorticity in the mid‐troposphere over Iran

Darand

Mirzaei

2018

Weather

View full text Add to dashboard Cite

Precipitation is one of the most studied atmospheric parameters, and its occurrence has a direct relationship with the atmospheric circulation pattern. This study investigates the relationship between relative vorticity in the mid‐troposphere (at 500 hPa), and precipitation amounts and the number of rain days over the period 1979–2013 in Iran. Relative vorticity was calculated using the u and v components of the wind data from the European Centre for Medium‐Range Weather Forecasts (ECMWF) interim reanalysis (ERA‐Interim) over Iran, with 0.125° spatial resolution. Gridded daily precipitation data from the Asfazari National Dataset with a spatial resolution of 15 × 15 km, covering the same period, were also used. Pearson's correlation coefficient was used to investigate, at the 90% confidence level, the relationship between relative vorticity, and monthly precipitation amount and number of rain days. The significance of the trend for relative vorticity for different months, at the 90% confidence level, was evaluated using the nonparametric modified Mann–Kendall test. The results showed a significant relationship between relative vorticity and the number of rain days and precipitation amounts over Iran. In temporal terms, the correlations between relative vorticity and the number of rain days and precipitation amounts are strongest during the months of high precipitation over Iran, especially in November and December. In spatial terms, eastern Iran exhibits the strongest relationship between precipitation and relative vorticity at the 500 hPa level. Examination of the time series data showed that the monthly precipitation amounts and numbers of rain days fluctuate in line with changes in relative vorticity during the period of study. Analysis of trends in the relative vorticity data also showed, at the 90% confidence level, that the maximum variations in relative vorticity occurred in autumn and winter, respectively. Trend analysis also showed a decreasing trend in relative vorticity in March and an increasing trend in November.

show abstract

“…(2017) for India; Thorncroft and Hodges () for Africa; Ruiz () for Argentina; Liang et al . () for China; Kouroutzoglou et al . () and Darand () for Iran; Varrias et al .…”

Section: Resultssupporting

confidence: 93%

The relationships between precipitation amounts, number of rain days, and relative vorticity in the mid‐troposphere over Iran

Darand

Mirzaei

2018

Weather

View full text Add to dashboard Cite

show abstract

“…Therefore a smooth transition from completely dry atmosphere and saturated atmosphere is achieved through the change of specific humidity from q to q s . Equation (4) has been used in computation of MPV (Gao et al, 2004a;Mofor and Lu, 2008;Liang et al, 2010;Yang et al, 2014), and found that the solenoidal term does not cancel out in the MPV tendency equation in moist and dry atmosphere. However, Gao et al (2004a) noted some limitations of applicability of the condensation density function in regions of no condensation or lower relative humidity conditions.…”

Section: Defined a New Generalized Moistmentioning

confidence: 99%

Evaluation of the Use of Moist Potential Vorticity and Moist Potential Vorticity Vector in Describing Annual Cycles of Rainfall over Different Regions in Tanzania

Luhunga

Djolov

2017

Front. Earth Sci.

View full text Add to dashboard Cite

“…Let λ e ≡ λ g (k = 1). Compared with λ m , λ e exaggerates the effect of water vapor gradient, whatever the relative humidity may be; thus, the signals of P e spread almost everywhere in the domain [Liang et al, 2010].…”

Section: Theoretical Analysis Of the Differences Between Mmpv And Gmpvmentioning

confidence: 99%

A modified moist potential vorticity, its properties, and application

Peng

Zhang

et al. 2013

JGR Atmospheres

View full text Add to dashboard Cite

[1] A modified moist potential vorticity (MMPV) and its tendency equation are derived in terms of modified potential temperature and the specific volume of dry air. MMPV holds not only the simplicity of virtual potential vorticity but also the conservation, impermeability, and invertibility principles of potential vorticity under certain conditions. More importantly, the effects of various nonconservative processes are explicitly included in its tendency equation. It can be seen from the MMPV tendency equation that contributions of moist species (water vapor and hydrometeors) to moist potential vorticity anomalies are twofolds: (i) the latent heating and the mass forcing of water vapor associated with moist microphysical processes and (ii) the solenoidal terms associated with the nonuniform distribution of moist species. Thus, we believe that it will be convenient to use MMPV in investigating the impact of diabatic processes and moist species gradients on the evolution of weather systems. A case study indicates that the MMPV does show strong signals aligned with the horizontal distribution of precipitation, suggesting its potential use as an accurate diagnostic variable. Since the MMPV tendency equation is derived from fully compressible and nonhydrostatic moist atmosphere system, the MMPV will also be a valid tool for evaluating and improving mesoscale numerical models such as the Advanced Research Weather Research and Forecasting model.

show abstract

Diagnostic study of generalized moist potential vorticity in a non‐uniformly saturated atmosphere with heavy precipitation

Cited by 15 publications

References 32 publications

The relationships between precipitation amounts, number of rain days, and relative vorticity in the mid‐troposphere over Iran

The relationships between precipitation amounts, number of rain days, and relative vorticity in the mid‐troposphere over Iran

Evaluation of the Use of Moist Potential Vorticity and Moist Potential Vorticity Vector in Describing Annual Cycles of Rainfall over Different Regions in Tanzania

A modified moist potential vorticity, its properties, and application

Contact Info

Product

Resources

About