460 likes | 567 Vues
What kind of clouds have lightning?. Observing storms from space. Riming electric charge separation. Why there is a relationship between radar reflectivity and lightning flash?. Keys : Graupel Temperature Super-cooled liquid water. Takahashi and Miyawaki , 2002, JAS.
E N D
Riming electric charge separation Why there is a relationship between radar reflectivity and lightning flash? Keys : Graupel Temperature Super-cooled liquid water Takahashi and Miyawaki, 2002, JAS
Define precipitation features using TRMM Precipitation Radar PR echo top height (km) Radar Precipitation Features (RPFs) Contiguous area with rainfall Properties of precipitation features Flash rate Temperature at 20, 30, 40 dBZ echo tops Maximum reflectivity at temperatures Area of 20, 30, 40 dBZ at temperatures Volume of 20, 30 40 dBZ at -5oC - -35oC IWC of 20, 30 40 dBZ at -5oC - -35oC
Population of RPFs and those with lightning • 1998-2010
2-D histogram of RPFs and probability with lightning Temperature of 20 dBZ echo top vs. Temperature of 30 dBZ echo top
Regional variation of lightning probability in precipitation systems
Correlation coefficient to flash rate in precipitation features maximum reflectivity at altitudes vs. Flash rate
Correlation coefficient to flash rate in precipitation features Echo top temperature vs. Flash rate Maximum reflectivity does not have good correlation with Flash rate neither ( < 0.5 )
Correlation between radar reflectivity vs. flash rate in precipitation features
Correlation coefficient to flash rate in precipitation features area of reflectivity at temperatures vs. Flash rate Solid : land Dotted: ocean
area of reflectivity at temperatures vs. Flash rateauto-correlation among different part of storms removed Solid : land Dotted: ocean
Regional variation of correlations (I) Correlation coefficients
Regional variation of correlations (II) Slope of linear relationship
Summary • Flash rate is best correlated with the volume of the high reflectivity (> 30 dBZ) in the mixed phase region, confirming the importance of the presence of large particles in the charging process. • More flashes are generated over land than over ocean given the same volume of 30-35 dBZ in the mixed-phase region. • There are large regional differences in the correlations between radar reflectivity properties vs. flash rate. • Even with the similar radar reflectivity profiles to the oceanic systems, it is still easier to have lightning flashes over Amazon. Other factors must play important roles besides the graupel at mixed phase region in the lightning generation.
Relative Contributions of Electrified Shower Clouds and Thunderstorms to the Global Circuit: Can 10 Years of TRMM Data Help Solve an Old Puzzle?
Fair Weather Charge • In fair weather there is a natural separation of charge in the atmosphere. + + + + + Upper troposphere is positively charged. Ground is negatively charged. - - - - -
The atmosphere normally has a voltage gradient of 100 volts/meter… … which may sound like a lot, but what happens when you stand one meter from a 110 volt outlet ?
Old Puzzle / Hypothesis • 90 years ago “A thundercloud or shower-cloud is the seat of the electromotive force which must cause a current to flow through the cloud between the Earth’s surface and the upper atmosphere... In shower-clouds in which the potentials fall short of what is required to produce lightning discharges, there is no reason to suppose that the vertical currents are of an altogether different order of magnitude.” ------ Wilson (1920)
Carnegie Curve vs. thunder days 80 years ago Diurnal variation of electric field seems reproduced by the thunder days (after add an arbitrary uniform oceanic storms to bring the amplitude down)
Thunderstorms observed by TRMM Americas Africa Asian Thunderstorms over different regions have different lightning flash rates
Carnegie curve vs. flash count Good correlation in phase, but much higher amplitude Same as pointed out by Bailey et al. 2007
Carnegie curve vs. rainfall in thunderstorms Good correlation in both phase and amplitude
Diurnal variation of flashes Asian Africa Americas
Diurnal variation of rainfall in thunderstorms Asian Africa Americas
Vostok electric field vs. rainfall in thunderstorms DJF Vostok electric field might be contaminated by weathers Good correlation between Thunderstorm rain vs. electric field in different seasons
End of story? • It seems that the diurnal variation of rainfall in thunderstorms has a very good correlation with the Carnegie curve both in the phase and the amplitude. • However, this is not the end of the story. What about the shower clouds without lightning as mentioned by Wilson 90 years ago?
In-situ storm current observations Storm current from 850 ER-2 overflights Courtesy of Mach et al. 2010
A VERY rough way to identify the electrified shower clouds 30 dBZ echo top colder than -10oC over land, -17oC over ocean
Rainfall from thunderstorms, electrified show clouds and others
A different approach define convective cells • Three “cell” definitions: • Convective pixels • (red color fill) • 40 dBZ pixels in any levels (black line) • 30 dBZ pixels at 6 km (white line)
(Solid line) Rain in cells defined by 30 dBZ at 6 km has the best correlation
Electric field vs. Rainfall from convective cells defined by area of 30 dBZ at 6km
Summary of the Carnegie curve • With more observations available today, we have better tools to play the same game as Whipple (1929) played 80 years ago: relating the diurnal variation of thunderstorms to that of the electric field. • Diurnal variation of rainfall from thunderstorms has a good correlation with the Carnegie curve both in the phase and the amplitude. • The role of electrified shower clouds is still hard to describe due to the difficulty of identifying them and quantifying the electric field that they contribute. • A different approach of adding convective cells gives more hints to this puzzle.
Let’s talk about the final project • Written reports have to be submitted to me in e-mail before end of Tuesday Feb 26. Late report is not accepted. If you insist to give me a paper report, you have to hand the report to me on Monday Dec 25. • We have 8 students Each one have about 10 minutes of presentation and a few minutes for questions. So we need 2 class time. We do a lottery on who present first. If you have presentation on the day, come to classroom 5 minutes early to upload your slides onto my laptop.