high altitude cloud physics laboratory (hacpl)moes/rac-2018/hacplposterrac22-01 … · western...

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High Altitude Cloud Physics Laboratory (HACPL) Research Highlights On the precipitation susceptibility of monsoon clouds to aerosols using high-altitude ground-based observations over Western Ghats, India Ice nuclei and their characteristics measured over high altitude site Analysing temporal variability of particulate matter and possible contributing factors over Mahabaleshwar Variation of Cloud Microphysical parameters over Mahabaleshwar during monsoon 2017 Measurement of Ice nuclei (IN) and CCN are very important for realistic production of cloud ice in model. Spectrometer for Ice nuclei (SPIN) is operating in HACPL to measure IN in different seasons. Observations of IN at different temperatures, water super saturation and ice super saturation are obtained to understand their physiochemical properties. Heterogeneous ice nucleating properties and onset conditions of atmospheric aerosol particles are studying. Figure shows the relation of IN concentration with aerosol temperature and SSw. Precipitation susceptibility has been estimated using CCN as aerosol proxy and it is higher ~0.65 for the integrated liquid water ranging from 0.6-0.8mm. Compared ground based observation with satellite observations carried out using aerosol optical depth (AOD), rain rate and liquid water path. Satellite observations showed that precipitation susceptibility, S 0 , using AOD as aerosol proxy is higher (S 0 =0.98) for liquid water path ranging from 800-1000 gm -2 Precipitation is getting suppressed at medium range of liquid water path which is in agreement with the earlier reports. P.P.Leena.et al., ( under revision) Future/ongoing studies To study aerosol physical and chemical properties in detail to understand their influence on climate and society. Detail study of cloud microphysical properties over Mahabaleshwar using long term data sets for the parameterization of cloud properties. Utilize CCN and IN measurements for parameterization and testing. Assimilate the information's from aerosol, cloud and IN to study their influence on precipitation process. Temporal variability associated with mass concentrations of PM 10 , PM 2.5 , and PM 1.0 were analysed using ground observations Concentrations of PM 10 , PM 2.5 , and PM 1.0 showed strong diurnal, monthly, seasonal and weekday-weekend trends. The seasonal variation of PM 1.0 and PM 2.5 has showed highest concentrations during winter season compared to monsoon and pre- monsoon. PM 10 showed highest concentrations in pre-monsoon season. Slightly higher PM concentrations were observed during weekends compared to weekdays. Possible contributing factors to this temporal variability has been analysed based on the variation of secondary pollutants such as NO 2 , SO 2 , CO and O 3 and long range transport of dust. Observation of long term cloud microphysical parameters are important to study their connection with monsoon. Cloud microphysical properties during monsoon 2017 has been measured using the Cloud droplet probe (CDP) is obtained from HACPL, Mahabaleshwar. There is a clear monthly variation in effective diameter (ED), liquid water content (LWC) and cloud droplet number concentration (CDNC). Higher CDNC and ED observed during July (2393 mm accumulated rain fall) and lowest observed during Sept (671 mm rain fall). Graph shows the seasonal variation and frequency distribution of cloud microphysical parameters during monsoon 2017. Methodology Studies by Feingold and Siebert (2009) and Sorooshianet al.(2009) introduced a method to quantify sensitivity of precipitation to changes in aerosol or in other words to quantify the precipitation susceptibility (S 0 ). The precipitation susceptibility is defined as Where R is the precipitation or rain rate, N d is the cloud drop number concentration. It is to be noted that alternative formulations that replace N d with an aerosol measurement P.P.Leena.et al., JASTP (2017, published) V. Anil Kumar, G. Pandithurai P.P.Leena, V. Anil Kumar RAC 22-23 rd January 2018

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Page 1: High Altitude Cloud Physics Laboratory (HACPL)MOES/rac-2018/HACPLposterRAC22-01 … · Western Ghats, India Ice nuclei and their characteristics measured over high altitude site Analysing

High Altitude Cloud Physics Laboratory (HACPL)Research Highlights

On the precipitation susceptibility of monsoon clouds to aerosols using high-altitude ground-based observations over Western Ghats, India

Ice nuclei and their characteristics measured over high altitude site

Analysing temporal variability of particulate matter and possible contributing factors over Mahabaleshwar

Variation of Cloud Microphysical parameters over Mahabaleshwar during monsoon 2017

Measurement of Ice nuclei (IN) and CCN are very important for realistic production of cloud ice inmodel.

Spectrometer for Ice nuclei (SPIN) is operating in HACPL to measure IN in different seasons.

Observations of IN at different temperatures, water super saturation and ice super saturation areobtained to understand their physiochemical properties.

Heterogeneous ice nucleating properties and onset conditions of atmospheric aerosol particlesare studying.

Figure shows the relation of IN concentration with aerosol temperature and SSw.

Precipitation susceptibility has been estimated using CCN asaerosol proxy and it is higher ~0.65 for the integrated liquid waterranging from 0.6-0.8mm.

Compared ground based observation with satellite observationscarried out using aerosol optical depth (AOD), rain rate and liquidwater path.

Satellite observations showed that precipitation susceptibility, S0,using AOD as aerosol proxy is higher (S0=0.98) for liquid water pathranging from 800-1000 gm-2

Precipitation is getting suppressed at medium range of liquid waterpath which is in agreement with the earlier reports.

P.P.Leena.et al., ( under revision)

Future/ongoing studiesTo study aerosol physical and chemical properties in detail to understand their influence on climate and society.

Detail study of cloud microphysical properties over Mahabaleshwar using long term data sets for the parameterization of cloud properties.

Utilize CCN and IN measurements for parameterization and testing.

Assimilate the information's from aerosol, cloud and IN to study their influence on precipitation process.

Temporal variability associated with mass concentrations of PM10,PM2.5, and PM1.0 were analysed using ground observations

Concentrations of PM10, PM2.5, and PM1.0 showed strong diurnal,monthly, seasonal and weekday-weekend trends.

The seasonal variation of PM1.0 and PM2.5 has showed highestconcentrations during winter season compared to monsoon and pre-monsoon. PM10 showed highest concentrations in pre-monsoon season.

Slightly higher PM concentrations were observed during weekendscompared to weekdays.

Possible contributing factors to this temporal variability has beenanalysed based on the variation of secondary pollutants such as NO2,SO2, CO and O3 and long range transport of dust.

Observation of long term cloud microphysical parameters are important to study theirconnection with monsoon.

Cloud microphysical properties during monsoon 2017 has been measured using theCloud droplet probe (CDP) is obtained from HACPL, Mahabaleshwar.

There is a clear monthly variation in effective diameter (ED), liquid water content(LWC) and cloud droplet number concentration (CDNC).

Higher CDNC and ED observed during July (2393 mm accumulated rain fall) andlowest observed during Sept (671 mm rain fall).

Graph shows the seasonal variation and frequency distribution of cloud microphysicalparameters during monsoon 2017.

MethodologyStudies by Feingold and Siebert (2009) andSorooshianet al.(2009) introduced a method toquantify sensitivity of precipitation to changes inaerosol or in other words to quantify theprecipitation susceptibility (S0). The precipitationsusceptibility is defined as

Where R is the precipitation or rain rate, Nd is the cloud dropnumber concentration. It is to be noted that alternativeformulations that replace Nd with an aerosol measurement

P.P.Leena.et al., JASTP (2017, published)

V. Anil Kumar, G. Pandithurai

P.P.Leena, V. Anil Kumar

RAC 22-23rd January 2018