Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part II: Validation of TRMM Rainfall Products

Nicholson, Sharon E.; Somé, Bonaventure; McCollum, Jeffrey R.; Nelkin, Eric; Klotter, Douglas; Berte, Y.; Diallo, B.; Gaye, I.; Kpabeba, G.; Ndiaye, Ousmane; Noukpozounkou, J. N.; Tanu, Michael; Thiam, Ababacar; Touré, Assize; Traoré, Abdoul Khadre

doi:10.1175/1520-0450(2003)042<1355:votaor>2.0.co;2

Cited by 226 publications

(157 citation statements)

References 15 publications

(14 reference statements)

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“…The best agreements were achieved with the TRMM 3B43 data. Similar results were obtained by Nicholson et al (2003) who have used gauge data from a network of 920 stations over West Africa to evaluate TRMM (PR, TMI, 3B43) rainfall products for the year 1998. While TRMM PR and TMI products showed a net tendency to overestimate gauge measurements, 3B43 merged product showed excellent agreement with gauge measurements on monthly to seasonal timescales.…”

Section: Review Of the Other Validation Studiessupporting

confidence: 74%

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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Section: Review Of the Other Validation Studiessupporting

confidence: 74%

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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“…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).…”

Section: Trmm 2a25mentioning

confidence: 99%

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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“…Tropical Precipitation Measuring Mission (TRMM) carrying sensors on precipitation (Kummerow et al, 1998) provides the opportunity for fine spatial-temporal precipitation products. Since the launch of TRMM, there were numerous efforts to evaluate TRMM precipitation products (Bowman, 2005;Chiu et al, 2008;Chiu et al, 2006;Islam et al, 2007;Nair et al, 2009;Nicholson et al, 2003;Rahman et al, 2007;Su et al, 2008;Su et al, 2011;Wong et al, 2008). The accuracy of the version-6 TRMM Multisatellite precipitation analysis (TMPA) is the best among TRMM precipitation products.…”

Section: Introductionmentioning

confidence: 99%

The evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) in drought monitoring in the Lancang River Basin

Zeng

2012

J. Geogr. Sci.

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Drought is one of the most destructive disasters in the Lancang River Basin, which is an ungauged basin with strong heterogeneity on terrain and climate. Our validation suggested the version-6 monthly TRMM multi-satellite precipitation analysis (TMPA; 3B43 V.6) product during the period 1998 to 2009 is an alternative precipitation data source with good accuracy. By using the standard precipitation index (SPI), at the grid point (0.25°×0.25°) and sub-basin spatial scales, this work assessed the effectiveness of TMPA in drought monitoring during the period 1998 to 2009 at the 1-month scale and 3-months scale; validated the monitoring accuracy of TMPA for two severe droughts happened in 2006 and 2009, respectively. Some conclusions are drawn as follows. (1) At the grid point spatial scale, in comparison with the monitoring results between rain gauges (SPI1 g ) and TMPA grid (SPI1 s ), both agreed well at the 1-month scale for most of the grid points and those grid points with the lowest critical success index (CSI) are distributed in the middle stream of the Lancang River Basin. (2) The same as SPI1 s , the consistency between SPI3 s and SPI3 g is good for most of the grid points at the 3-months scale, those grid points with the lowest were concentrated in the middle stream and downstream of the Lancang River Basin. (3) At the 1-month scale and 3-months scale, CSI ranged from 50% to 76% for most of the grid points, which demonstrated high accuracy of TMPA in drought monitoring. (4) At the 3-months scale, based on TMPA basin-wide precipitation estimates, though we tended to overestimate (underestimate) the peaks of dry or wet events, SPI3 s detected successfully the occurrence of them over the five sub-basins at the most time and captured the occurrence and development of the two severe droughts happened in 2006 and 2009. This analysis shows that TMPA has the potential for drought monitoring in data-sparse regions.

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Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part II: Validation of TRMM Rainfall Products

Cited by 226 publications

References 15 publications

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

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

Analyzing coastal precipitation using TRMM observations

The evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) in drought monitoring in the Lancang River Basin

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