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Journal ArticleDOI

A Comparative Study of Cloud Liquid Water Content from Radiosonde Data at a Tropical Location

28 Feb 2012-International Journal of Geosciences (Scientific Research Publishing)-Vol. 3, Iss: 1, pp 44-49
TL;DR: In this article, some features of cloud liquid water content with respect to rain and water vapor are presented and the variation of daily total rainfall with LWC shows a positive relationship indicating the role of LWC in controlling the rainfall.
Abstract: In this paper, some features of cloud liquid water content with respect to rain and water vapor are presented. Cloud liquid water density profile is obtained from radiosonde observation with Salonen's model and Karsten's model at Kolkata, a tropical location in the Indian region. Cloud liquid water contents (LWC) are obtained from these profiles which show a prominent seasonal variation. The monsoon months exhibit much higher values of LWC than in other months. However Salonen's model yields higher LWC values than that obtained with Karsten's model. The variation of daily total rainfall with LWC shows a positive relationship indicating the role of LWC in controlling the rainfall. Also the variation pattern of LWC with integrated water vapor (IWV) content of the atmosphere indicates that a threshold value of water vapor is required for cloud to form and once cloud is formed LWC increases with IWV.

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Citations
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Journal ArticleDOI
TL;DR: In this paper, a long-term observation (1979-2008) of the increase in convective precipitation in relation to the latent and sensible heat fluxes on a tropical location, Kolkata, has been investigated in the present study.

22 citations

Journal ArticleDOI
TL;DR: In this paper, the cumulative distribution of the TCLWC derived from radiosonde measurement in each climatic zone shows a departure from the ITU Study Group 3 data, with an exceedance percentage difference of 32% to 90% occurring 0.01% to 10% of the time.
Abstract: Cloud cover statistics, cloud base and top height, cloud temperature, frequency of precipitation, freezing height, total cloud liquid water content (TCLWC) and cloud attenuation data have been obtained for the six major climatic zones of Africa. The present results reveal a strong positive correlation between the monthly distribution of low cloud cover, cloud top height, cloud temperature, and frequency of precipitation in the six zones. The cumulative distribution of the TCLWC derived from radiosonde measurement in each climatic zone shows a departure from the TCLWC recommended by the ITU Study Group 3 data, with an exceedance percentage difference of 32% to 90% occurring 0.01% to 10% of the time. The underestimation of the TCLWC is greatest in the tropical rain forest. A comparison of the cloud attenuation cumulative distribution in the Ka and V bands reveals that the International Telecommunication Union – Region (ITU-R) is an intergovernmental organization that develops rain model based on collected data around the world. This model underestimates the cloud attenuation in all of the six climatic zones by 2.0 dB and 4.7 dB for the arid Sahara desert, 1.3 dB and 3.0 dB in semi-arid North Africa, 1.3 dB and 1.5 dB in savannah North Africa, 2.0 dB and 3.6 dB in the tropical rain forest, 1.3 dB and 2.9 dB in savannah South Africa and 0.9 dB and 2.6 dB in semi-arid South Africa, respectively, at 30 and 50 GHz. Overall, the cloud attenuation in the tropical rain-forest zone is very high because of the high annual total cloud cover (98%), high annual frequency of precipitation (4.5), low annual clear sky amount (8%), high cloud depth (10,937 m), high 0°C isotherm height (4.7 km), high TCLWC (4.0 kg/m2 at 0.01%) and low seasonal cloud base height (356 m).

11 citations

Journal ArticleDOI

9 citations


Cites background or methods from "A Comparative Study of Cloud Liquid..."

  • ...As the cloud LWP has a good correlation with rain accumulation (Chakraborty & Maitra, 2012; Maitra & Chakraborty, 2018), it is expected that the change in the electric field due to cloud should also be related to the impending rain accumulation....

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  • ...At our location convective activities are associated with high LWP, and cloud liquid water content is linearly related to rain accumulation (Chakraborty & Maitra, 2012; Maitra & Chakraborty, 2018)....

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  • ...A definite linear relationship between liquid water content and rainfall amount exists at our location, which is already reported by Chakraborty and Maitra (2012) utilizing the data from Indian Meteorological Department....

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Journal ArticleDOI
TL;DR: In this article, the authors analyzed trends in the frequency of HRH (defined as days with relative humidity $80%) over China from the surface to the mid-troposphere ($400hPa) from 1979 to 2012 using a homogenized humidity dataset for spring (March-May), summer (June-August), autumn (September-November), and winter (December−February).
Abstract: High relative humidity (HRH) is defined as a relative humidity of at least 80%, which is often associated with the occurrence of cloud layers. Thus, the frequency of HRH and its changes in the troposphere may be related to the occurrence frequency of cloud layers and their changes. In this study, trends in the frequency of HRH (defined as days with relative humidity $80%) over China from the surface to the midtroposphere ($400hPa) from 1979 to 2012 were analyzed using a homogenized humidity dataset for spring (March‐May), summer (June‐August), autumn (September‐November), and winter (December‐February). The results for the ground level indicate decreasing trends at most stations in southeastern China in spring and in northern Chinainsummer.Inthelowertroposphere(850and700hPa),moststationsoverChinaexhibitpositivetrends in summer, autumn, and winter. For the midtroposphere (500‐400hPa), increasing trends dominate over China in spring, summer, and autumn. Finally, six reanalysis datasets, the NCEP‐NCAR, NCEP‐DOE, CFSR, ERA-Interim, MERRA, and JRA-55 datasets, were compared with the observed increasing trends in HRH frequency in the low-to-middle troposphere. Similar increasing trends in HRH frequency in the reanalysis datasets and the homogenized humidity data are observed in certain seasons and for certain regions. These results are consistent with the increasing low-to-middle cloud amounts in recent decades.

9 citations


Cites background from "A Comparative Study of Cloud Liquid..."

  • ...In addition, some authors have analyzed the potential formation of clouds usingHRHas an indicator (e.g., Haag et al. 2003; Chakraborty and Maitra 2012)....

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Journal ArticleDOI
TL;DR: In this article, the thermodynamical and microphysical response during the transition from southwest to northeast monsoon season is studied, where mixed phase cloud observations from the Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX) and ground based observations from Integrated Ground Observation Campaign (IGOC), high resolution (3 km) mesoscale forecasts with the nested Weather Research and Forecasting (WRF) model are used in the study.

9 citations

References
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Journal ArticleDOI
TL;DR: In this article, a new method for cloud attenuation calculation on an earth-satellite link is presented, which uses temperature and humidity profiles as input parameters, and has been applied to radiosonde measurements and to the gridded data of the numerical analyses of ECMWF.
Abstract: A new method for cloud attenuation calculation on an earth–satellite link is presented. The method uses temperature and humidity profiles as input parameters. The method has been applied to radiosonde measurements and to the gridded data of the numerical analyses of ECMWF.

181 citations

Journal ArticleDOI
TL;DR: In this article, a microwave radiometer is described that provides continuous thermodynamic (temperature, water vapor, and moisture) soundings during clear and cloudy conditions, along with zenith infrared and surface meteorological measurements.
Abstract: [1] A microwave radiometer is described that provides continuous thermodynamic (temperature, water vapor, and moisture) soundings during clear and cloudy conditions. The radiometric profiler observes radiation intensity at 12 microwave frequencies, along with zenith infrared and surface meteorological measurements. Historical radiosonde and neural network or regression methods are used for profile retrieval. We compare radiometric, radiosonde, and forecast soundings and evaluate the accuracy of radiometric temperature and water vapor soundings on the basis of statistical comparison with radiosonde soundings. We find that radiometric soundings are equivalent in accuracy to radiosonde soundings when used in numerical weather forecasting. A case study is described that demonstrates improved fog forecasting on the basis of variational assimilation of radiometric soundings. The accuracy of radiometric cloud liquid soundings is evaluated by comparison with cloud liquid sensors carried by radiosondes. Accurate high-resolution three-dimensional water vapor and wind analysis is described on the basis of assimilation of simulated thermodynamic and wind soundings along with GPS slant delays. Examples of mobile thermodynamic and wind profilers are shown. Thermodynamic profiling, particularly when combined with wind profiling and slant GPS, provides continuous atmospheric soundings for improved weather and dispersion forecasting.

176 citations

Book Chapter
01 Jan 2001
TL;DR: Contributing Authors R.B. Alley, O.E.M. O’Hirok, C.L. Parkinson, A.J. Payne, J.W. Spencer, P.T. Taylor, and K.Y. Wild.
Abstract: Contributing Authors R.B. Alley, O.E. Anisimov, C. Appenzeller, R.G. Barry, J.J. Bates, R. Bindschadler, G.B. Bonan, C.W. Boning, S. Bony, H. Bryden, M.A. Cane, J.A. Curry, T. Delworth, A.S. Denning, R.E. Dickinson, K. Echelmeyer, K. Emanuel, G. Flato, I. Fung, M. Geller, P.R. Gent, S.M. Griffies, I. Held, A. Henderson-Sellers, A.A.M. Holtslag, F. Hourdin, J.W. Hurrell, V.M. Kattsov, P.D. Killworth, Y. Kushnir, W.G. Large, M. Latif, P. Lemke, M.E. Mann, G. Meehl, U. Mikolajewicz, W. O’Hirok, C.L. Parkinson, A. Payne, A. Pitman, J. Polcher, I. Polyakov, V. Ramaswamy, P.J. Rasch, E.P. Salathe, C. Schar, R.W. Schmitt, T.G. Shepherd, B.J. Soden, R.W. Spencer, P. Taylor, A. Timmermann, K.Y. Vinnikov, M. Visbeck, S.E. Wijffels, M. Wild

145 citations

Journal ArticleDOI
TL;DR: In this paper, a method is presented to infer cloud liquid water path (LWP in kg/m2) over the ocean from passive microwave measurements of SSM/I. The algorithm to retrieve LWP is based on simulated satellite observations.
Abstract: A method is presented to infer cloud liquid water path (LWP in kg/m2) over the ocean from passive microwave measurements of SSM/I. The algorithm to retrieve LWP is based on simulated satellite observations. They are calculated with a radiative transfer model applied to about 3000 radiosonde ascents over the Atlantic Ocean. Since radiosonde observations do not contain direct information about cloud water and ice, these parameters are parameterized based on relative humidity and temperature using modified adiabatic liquid water density profiles. A multiple linear regression is applied to the simulated radiances and the calculated LWP to derive the algorithm. The retrieval accuracy based on the regression analysis including instrumental noise is 0.03 kg/m2. Validation of the LWP-algorithm was pursued through a comparison with measurements of a ground-based 33 GHzmicrowave radiometer on board of R.V. “Poseidon” during the International Cirrus Experiment 1989 at the North Sea (ICE'89). The LWP values agree within the range of uncertainty caused by the different sampling characteristics of the observing systems. The retrieval accuracy for clear-sky cases determined using colocated METEOSAT data over the North Sea is 0.037 kg/m2 and confirms the accuracy estimated from regression analysis for the low liquid water cases. The algorithm was used to derive maps of monthly mean LWP over the Atlantic Ocean. As an example the Octobers of the 5 years 1987–1991 were selected to demonstrate the interannual variability of LWP. The results were compared with the cloud water content produced by the climate model ECHAM-T2 from the Max-Planck-Institut Hamburg. Observations during ICE'89 were used to check the accuracy of the applied radiative transfer model. Brightness temperatures were calculated from radiosonde ascents launched during the overpass of DMSP-F8 in cloud-free situations. The channel-dependent differences range from about −2 to 3 K. The possibility to identify different cloud types using microwave and infrared observations was examined. The main conclusion is that simultaneous microwave and infrared measurements enable the separation of dense cirrus and cirrus with underlying water clouds. A classification of clouds with respect to their top heights and LWP was carried out using a combination of SSM/I derived LWP and simultaneously recorded Meteosat IR-data during ICE'89.

124 citations


"A Comparative Study of Cloud Liquid..." refers methods in this paper

  • ...In the present study LWC profile obtained from Salonen’s [9] model and Karsten’s [10] model are compared....

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  • ...[10], have been used to obtain cloud LWC at temperature above 0 ̊C and also in the mixed layer in the temperature range from –20 ̊C to 0 ̊C....

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Journal ArticleDOI
TL;DR: In this paper, a method developed in the former Soviet Union for predicting cloud amounts is supplemented with a new method of determining the base and tops of clouds. But this test was found from an analyses of United States radiosonde data.
Abstract: A method developed in the former Soviet Union for predicting cloud amounts is supplemented with a new method of determining the base and tops of clouds. Criteria for predicting a cloud layer are 0 ≤ T″(z) and R″(z) ≤ 0, where T″ is the second derivative of the vertical profile of temperature and R″ is the second derivative of the relative humidity. This test was found from an analyses of United States radiosonde data. Cloud amount (sky cover) is predicted from a relationship between cloud amount and dewpoint depression within the predicted cloud layer and the temperature at that level. This relationship is based on data from the former Soviet Union and data from the Indian 0cean and divides cloud amount into four categories: 0%–20%, 20%–60%, 60%–80%, and 80%–100% coverage. The new composite method is evaluated using data from several United States radiosonde stations within different climates. Evaluation data was selected to include only situations in which the observer (providing the “truth”) co...

84 citations