Convective and Stratiform Components of a Winter Monsoon Cloud Cluster Determined from Geosynchronous Infrared Satellite Data

Goldenbergl, Stanley B.; Houze, Robert A.; Churchill, Dean D.

doi:10.2151/jmsj1965.68.1_37

Cited by 23 publications

(21 citation statements)

References 40 publications

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“…For tropical cloud systems, this algorithm estimates surface rainfall rates and the area of convective and stratiform regions. Goldenberg et al (1990) modified the empirical ''discrimination line'' of Adler and Negri (1988) and applied it to WMONEX data. Kikuchi (1994) also applied this method to GMS imagery in TOGA-COARE.…”

Section: Estimation Of Cloud Area and Rainfallmentioning

confidence: 99%

Heating Distribution by Cloud Systems Derived from Doppler Radar Observation in TOGA-COARE

Ushiyama¹,

Kawashima

Fujiyoshi

2003

Journal of the Meteorological Society of Japan

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Dual Doppler radar observations were carried out from November 1992 to January 1993 during the TOGA-COARE IOP (Tropical Ocean and Global Atmosphere-Coupled Ocean Atmosphere Response Experiment, Intensive Observation Phase) at Manus Island in Papua New Guinea. The heating profiles of six stratiform and eight convective cloud systems were calculated using three-dimensional wind field and hydrometeor distribution in a same way as Roux and Sun (1990). Relations between the heating profiles and the thermodynamic properties of environment were studied.Convective and stratiform cloud systems both showed structures consistent with past studies. The heating level varied significantly with environmental conditions that had been linked to the phase of Madden Julian Oscillation (MJO). Specifically, at the beginning of the active phase of MJO, convective cloud systems dominated and the heating level was high (7 km). These cloud systems heated and moistened the middle to upper troposphere and stabilized the atmosphere. In the middle of the active phase of MJO, stratiform cloud systems dominated and the heating level lowered (5 km). At the end of the active phase of the MJO, convective cloud systems again dominated.A composite profile for the entire observation period was calculated using the representative profiles and satellite data, and was compared with that derived by Lin and Johnson (1996) using radiosonde observation. The derived maximum heating rate coincided with their results, however, the heating rates of lower and upper troposphere were smaller and the level of maximum heating (5 km) was slightly lower.

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Section: Estimation Of Cloud Area and Rainfallmentioning

confidence: 99%

Heating Distribution by Cloud Systems Derived from Doppler Radar Observation in TOGA-COARE

Ushiyama¹,

Kawashima

Fujiyoshi

2003

Journal of the Meteorological Society of Japan

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“…If there is more than one Tmin in a pixel, the closest to the center of the pixel is chosen as Tmin. After that is a calculation of the slope parameter value (S) based the value of BT at a point estimated by 8 points surrounding the equation (Islam et al, 2002) According to Goldenberg et al (1990), in the identification of convective core, the S value must meet the following threshold.…”

Section: B Cstmentioning

confidence: 99%

Comparative Test of Several Rainfall Estimation Methods Using Himawari-8 Data

Alfuadi¹,

Putra²

2017

IJReSES

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Abstract. Indonesian society needs information on potential hydrometeorological disasters, therefore the development of rainfall estimation methods becomes an important research activities to support disaster risk reduction. Central Kalimantan were selected as research location for comparative test of rainfall estimation methods based on Himawari-8 IR1 (11µm) data, because it has area with cloud cover fairly intensive throughout the year. Some rainfall estimation methods tested in this research are AE, CST, CSTM, IMSRA. Non Linear Relation, and Non Linear Inversion. Each of these methods tends to have a weakness in the value of accuracy, so this research aims to determine the most accurate method to be applied in Palangkaraya (27 meters above sea level) city and Muratewe (60 meters above sea level) district in Central Kalimantan. The experiment was conducted during the period of highest rainfall in January and February 2016 by converting the temperature data cloud tops (IR1) into a precipitation with AE, CST, CSTM, IMSRA, Non Linear Relation and Non Linear Inversion method. Based on the results of quantitative analysis, it was known that IMSRA was the best method which can be applied in rainfall estimation in Muarateweh's and Palangka Raya's winter period. The Accuracy of all estimation methods decreased when it was applied in Palangka Raya at afternoon and in Muarateweh at night until early morning. The estimation method with the lowest score was the AE with an average MSE value > 90 and the best estimation method was IMSRA with MSE value <12.

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“…The original form of CST used in this study applies rainfall estimation steps similar to the procedures proposed by Adler and Negri [1], Goldenberg, et al [2] and Islam, et al [4]. The estimation actions include, among others, the application of techniques to identify convective cores and their locations, utilizing IR imagery from geostationary meteorological satellites (GMS), and determination of the intensity of convective and stratiform rain.…”

Section: The Original Form Of Cstmentioning

confidence: 99%

“…According to Goldenberg, et al, [2], to distinguish convective cores at the identified location, the criteria as shown by Eq. (3) should be fulfilled:…”

Section: The Original Form Of Cstmentioning

confidence: 99%

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Modified Convective Stratiform Technique (CSTm) Performance on Rainfall Estimation in Indonesia

Endarwin¹,

Hadi²,

H.K.³

et al. 2014

j.math.fund.sci.

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Abstract.This study has analyzed a rainfall estimation using a modified convective stratiform technique (CSTm). Unlike the original convective stratiform technique (CST), which only utilizes infrared (IR) data, CSTm applies not only IR data but also passive microwave (PMW) data. Two major modifications contained in CSTm are: (1) the application of a variability index (VI) method that uses PMW data to perform convective and stratiform separation, and (2) the ability to determine the average extensive coverage of the new areas of each pixel point as a result of the utilization of the PMW data. In this study, rainfall estimation was conducted for 23 points spread over four major islands in Indonesia. The estimation was performed based only on IR and PMW data obtained from coincident observations. For verification, the estimation results were compared with real observations. The main verification action conducted in this study used multi-category contingency tables for 4 categories and this action was supported by the root mean square error (RMSE) method. The verification results of the hourly estimation conducted for 4 days in early November 2011 showed that CSTm can effectively improve the performance quality of CST.

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Convective and Stratiform Components of a Winter Monsoon Cloud Cluster Determined from Geosynchronous Infrared Satellite Data

Cited by 23 publications

References 40 publications

Heating Distribution by Cloud Systems Derived from Doppler Radar Observation in TOGA-COARE

Heating Distribution by Cloud Systems Derived from Doppler Radar Observation in TOGA-COARE

Comparative Test of Several Rainfall Estimation Methods Using Himawari-8 Data

Modified Convective Stratiform Technique (CSTm) Performance on Rainfall Estimation in Indonesia

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