Classification of precipitation type from space borne precipitation radar data and 2D wavelet analysis

Zafar, Basim; Chandrasekar, V.

doi:10.1109/igarss.2004.1370482

Cited by 6 publications

(3 citation statements)

References 3 publications

(6 reference statements)

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“…Basically, convective precipitation is characterized by large horizontal reflectivity gradients, strong vertical motions and high rainfall rate. Smaller horizontal reflectivity gradients, weaker vertical motions and lower rain rates on average characterize stratiform precipitation (Zafar and Chandrasekar, 2004). The presence of a bright‐band typically indicates stratiform region.…”

Section: Elevated Latent Heating Vortex Stretching and Large‐scalmentioning

confidence: 99%

The long‐lived monsoon depressions of 2006 and their linkage with the Indian Ocean Dipole

Krishnan

Ayantika

Kumar

et al. 2011

Intl Journal of Climatology

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A highlight of the 2006 boreal summer monsoon season was the enhanced activity of long-lived monsoon depressions and low-pressure systems (LPS) over the Indian region. Another important phenomenon during this period was the evolution of a positive Indian Ocean Dipole (PIOD) event. Although previous studies have investigated the impact of PIOD on the large-scale monsoon response, their influence on monsoon LPS activity is not well understood. Based on detailed diagnostic analyses of monsoon LPS during 2006, as well as those associated with other PIOD events during 1958-2007, the present work addresses two specific issues concerning the roles of (a) PIOD-induced large-scale circulation changes and (b) internal feedbacks between latent heating and dynamics, in sustaining the monsoon LPS activity. The results show that PIOD conditions generally favour increased propensity of long-lived (>5 days) LPS with long westward tracks extending into northwest India. The average contribution of long-lived monsoon LPS to the total is found to be approximately 12% higher during PIOD episodes as compared to non-PIOD. The PIOD events showed two important large-scale elements conducive for enhancement of LPS activity: (a) strengthening of cross-equatorial moisture transport from south-eastern tropical Indian Ocean into the Bay of Bengal and (b) enrichment of barotropic instability of monsoon flow. Estimates of latent-heating profiles from TRMM-satellite products during the 2006 LPS showed heating in the mesoscale updrafts above 600 hPa with maximum approximately 400 hPa; while cooling prevailed in lower levels. Stratiform precipitation covered approximately 70-85% of rain area during the prolonged LPS; and the large-scale monsoon Hadley-type circulation was found to be intensified with strong mid-level inflows entering the stratiform rain region. The overall findings suggest that the PIOD-induced background circulation together with internal feedbacks between mesoscale convective systems and large-scale circulation can effectively enhance the longevity of monsoon LPS. These results should serve as important inputs for numerical weather forecasting of extreme rainfall events associated with the regional monsoon phenomenon.

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Section: Elevated Latent Heating Vortex Stretching and Large‐scalmentioning

confidence: 99%

The long‐lived monsoon depressions of 2006 and their linkage with the Indian Ocean Dipole

Krishnan

Ayantika

Kumar

et al. 2011

Intl Journal of Climatology

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“…However, precipitation events are generally classified in only two broad classes namely "convective" and "stratiform". "Convective" type typically involves a very intense and relatively short-lived precipitation with variable rain heights that might go up to more than 13 km [3]. Convective rain is being characterised by severe rainfall that occurs for duration of limited periods and typically covers a small or localised area.…”

Section: Introductionmentioning

confidence: 99%

Classification of Precipitation Types Detected in Malaysia

Badron

Ismail

Asnawi

et al. 2015

Theory and Applications of Applied Electromagnetics

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“…Highly localized intense rainfall is a common phenomenon in the tropical region due to higher convective activities (Sa'adi et al, 2020), which shares about 70% of the total rainfall (Badron et al, 2015). Such rainfalls are usually short, intense and have a smaller areal extent (Zafar et al, 2004). The convective events mostly have a cell diameter of <10 km, which is much lower than the density of rain gauges in most regions of the globe (Schroeer et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Bias correction method of high-resolution satellite-based precipitation product for Peninsular Malaysia

Iqbal

Shahid

Ahmed

et al. 2022

Theor Appl Climatol

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Satellite-based precipitation (SBP) is emerging as a reliable source for high-resolution rainfall estimates over the globe. However, uncertainty in SBP is still significant, limiting their use without evaluation and often without bias correction. The bias correction of SBP remained a challenge for atmospheric scientists. In this study, the performance of six SBPs, namely, SM2RAIN-ASCAT, IMERG, GsMap, CHIRPS, PERSIANN-CDS and PERSIANN-CSS in replicating observed daily rainfall at 364 stations over Peninsular Malaysia was evaluated. The bias of the most suitable SBP was corrected using a novel machine learning (ML)-based bias-correction method. The proposed bias-correction method consists of an ML classifier to correct the bias in estimating rainfall occurrence and an ML regression model to correct the amount of rainfall during rainfall events. The performance of different widely used ML algorithms for classification and regression were evaluated to select the suitable algorithms. IMERG showed better performance, showing a higher correlation coefficient (R 2 ) of 0.57 and Kling-Gupta Efficiency (KGE) of 0.5 compared to the other products. The performance of random forest (RF) was better than the knearest neighbourhood (KNN) for both classification and regression. RF classified the rainfall events with a skill score of 0.38 and estimated the rainfall amount of a rainfall event with the modified Index of Agreement (md) of 0.56. Comparison of IMERG and bias-corrected IMERG (BIMERG) revealed an average reduction in RMSE by 55% in simulating observed rainfall. The proposed bias correction method performed much better when compared with the conventional bias correction methods such as linear scaling and quantile regression. The BIMERG could reliably replicate the spatial distribution of heavy rainfall events, indicating its potential for hydro-climatic studies like flood and drought monitoring in the study area.

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Classification of precipitation type from space borne precipitation radar data and 2D wavelet analysis

Cited by 6 publications

References 3 publications

The long‐lived monsoon depressions of 2006 and their linkage with the Indian Ocean Dipole

The long‐lived monsoon depressions of 2006 and their linkage with the Indian Ocean Dipole

Classification of Precipitation Types Detected in Malaysia

Bias correction method of high-resolution satellite-based precipitation product for Peninsular Malaysia

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