Validation of TRMM Radar Rainfall Data over Major Climatic Regions in Africa

Adeyewa, Zechariah Debo; Nakamura, Kenji

doi:10.1175/1520-0450(2003)042<0331:votrrd>2.0.co;2

Cited by 164 publications

(90 citation statements)

References 29 publications

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“…Validation results vary on spatial and seasonal temporal scales (Nicholson et al, 2003;Wolff et al, 2005), and are regionally dependent (Franchito et al, 2009). Like all TRMM level 2 products, 2A25 is outperformed in estimating accumulated rainfall by lower resolution, rain-gauge calibrated TRMM products such as the 3B42 (Kummerow et al, 2000;Adeyewa and Nakamura, 2003;Nicholson et al, 2003). Nevertheless, 2A25 product has successfully been able to capture diurnal precipitation and climatological trends (Shin et al, 2000;Yang and Smith, 2006), and is considered to be well calibrated compared to ground validation radars (Wang and Wolff, 2009;Liao and Meneghini, 2009;Fisher and Wolff, 2010).…”

Section: Trmm 2a25mentioning

confidence: 83%

Analyzing coastal precipitation using TRMM observations

2011

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Abstract.The interaction between breezes and synoptic gradient winds, and surface friction increase in transition from sea to land can create persistent convergence zones nearby coastlines. The low level convergence of moist air promotes the dynamical and microphysical processes responsible for the formation of clouds and precipitation.Our work focuses on the winter seasons of 1998-2011 in the Eastern Mediterranean. During the winter the Mediterranean sea is usually warmer than the adjacent land, resulting in frequent occurrence of land breeze that opposes the common synoptic winds. Using rain-rate vertical profiles from the Tropical Rainfall Measurement Mission (TRMM) satellite, we examined the spatial and temporal distribution of average hydrometeor mass in clouds as a function of the distance from coastlines.Results show that coastlines in the Eastern Mediterranean are indeed favored areas for precipitation formation. The intra-seasonal and diurnal changes in the distribution of hydrometeor mass indicate that the land breeze may likely be the main responsible mechanism behind our results.

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Section: Trmm 2a25mentioning

confidence: 83%

Analyzing coastal precipitation using TRMM observations

2011

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“…Larger RMSE values were found during the wet season (e.g., SON and DJF) because of the scaling up effect of the precipitation rate from an hourly to monthly scale. The findings are consistent with other studies that found overestimation of TRMM products in the estimation of total precipitation amount [47,48]. The bias-corrected TMPA-3B43 product is generated using multiple satellite images and algorithms, as well as the GPCC product.…”

Section: Spatial Assessmentmentioning

confidence: 99%

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

Tan

Chua

et al. 2017

Water

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Assessment of satellite precipitation products' capability for monitoring drought is relatively new in tropical regions. The purpose of this paper is to evaluate the reliability of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B43 product in estimating the standardized precipitation index (SPI) in the Kelantan River Basin, Malaysia from 1998 to 2014, by comparing it with data from 42 rain gauges. Overall, the TMPA-3B43 performed well in the monthly precipitation estimation, but performed moderately in the seasonal scale. Better performance was found in the northeast monsoon (wet season) than in the southwest monsoon (dry season). The product is more reliable in the northern and north-eastern regions (coastal zone) compared to the central, southern and south-eastern regions (mountainous area). For drought assessment, the correlations between the TMPA-3B43 and ground observations are moderate at various time-scales (one to twelve months), with better performance at shorter time-scales. The TMPA-3B43 shows similar temporal drought behavior by capturing most of the drought events at various time-scales, except for the 2008-2009 drought. These findings show that the TMPA-3B43 is not suitable to be used directly for SPI estimation in this basin. More bias correction and algorithm improvement work are needed to improve the accuracy of the TMPA-3B43 in drought monitoring.

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“…Agreement of gauge data with TRMM TMI was found to be better than with TRMM PR. Adeyewa and Nakamura (2003) have validated the TRMM PR and 3B43 rainfall products with the Global Precipitation Climatology Center (GPCC) global precipitation analysis rain gauge data over the major climatic regions of Africa. Significant seasonal and regional di¤erences were observed.…”

Section: Review Of the Other Validation Studiesmentioning

confidence: 99%

Evaluation of Multi-Satellite TRMM Derived Rainfall Estimates over a Western State of India

Nair¹,

Srinivasan

Nemani

2009

Journal of the Meteorological Society of Japan

122

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The Tropical Rainfall Measuring Mission (TRMM) blended rainfall product (3B42-V6 data set) has been used for inter-comparison with observations from a high density rain-gauge network over the western state of Maharashtra, India. The state of Maharashtra was chosen for the inter-comparison exercise primarily because of its diverse rainfall regime. The rain distribution over Maharashtra, characterized by a pronounced longitudinal gradient is closely linked to the north-south oriented orography of the region known as the Western Ghats. The validation exercise was carried out for 7 monsoon seasons from June to September from 1998 to 2004 at various space and time scales. The results are consistent at daily, monthly and seasonal timescales. The comparisons among stations and over geographically similar climatic zones demonstrated that the performance of 3B42-V6 product varies over the di¤erent climatic regimes. In terms of spatial reproductivity, the existence of the westeast rainfall gradient along the west coast is captured by the satellite product, but the orographic e¤ect (rainfall maxima is over the Western Ghats as captured by the rain-gauge) is not reflected by 3B42-V6 product. The 3B42-V6 product shows rainfall maxima at the coast. The satellite estimates of rainfall amounts over the state were found to be most accurate over regions of moderate rainfall and mainly inaccurate in regions of sharp rainfall gradient. In terms of magnitude of the rainfall amounts, over the windward side of the Western Ghats the 3B42-V6 product was unable to resolve the heavy orographic rainfall amounts and over the leeward side the rainfall amounts in the immediate rain-shadow region were overestimated. One of the key results obtained from the daily rainfall intercomparison exercise is the ability of the 3B42-V6 estimates to detect the wet and dry phases of monsoon over most parts of the state (except the leeward side). Though the rainfall amounts estimated by the satellite product were sometimes under/over estimated, the timing of the rain events as estimated by the satellite product was generally coincident with the gauge observations over most of the regions except in the immediate rainshadow region of the state. The TRMM 3B42-V6 estimates therefore could have tremendous potential to be used for intraseasonal studies over most regions of the state.

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Validation of TRMM Radar Rainfall Data over Major Climatic Regions in Africa

Cited by 164 publications

References 29 publications

Analyzing coastal precipitation using TRMM observations

Analyzing coastal precipitation using TRMM observations

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

Evaluation of Multi-Satellite TRMM Derived Rainfall Estimates over a Western State of India

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