Ground Validation for the Tropical Rainfall Measuring Mission (TRMM)

Wolff, David B.; Marks, David A.; Amitai, Eyal; Silberstein, David S.; Fisher, B. L.; Tokay, Ali; Wang, J.; Pippitt, Jason L.

doi:10.1175/jtech1700.1

Cited by 155 publications

(103 citation statements)

References 23 publications

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“…After the boost that raised the orbital altitude from 350 km to 402.5 km, the horizontal resolution increased to nearly 5 km. The resolution volume of the WSR-88D ground-based radar depends strongly on range but the data are typically interpolated to a 1.5 km resolution along the vertical and a 2 km resolution in the horizontal (Wolff et al 2005). Considering the data resolutions of both PR and WSR-88D, a common grid element of 4 × 4 × 1.5 km 3 is chosen in this study for the comparisons between the PR and WSR-88D data.…”

Section: Matching Methodsmentioning

confidence: 99%

“…The ground-based radar measurements are taken from the S-band WSR-88D radar for the same period for the overpasses of the TRMM satellite over the Melbourne, Florida site during times when significant precipitation was present in the overlap region of the PR and WSR-88D. The data are provided by the TRMM Ground Validation (GV) program that has been responsible for processing ground-based measurements from the primary GV sites (Kwajalein Atoll, Republic of the Marshall Islands; Melbourne, Florida; Houston, Texas; and Darwin, Australia), which consist primarily of an operational weather radar and a rain gauge network (Wolff et al 2005;Houze et al 2004). The latest version (version 5) of TRMM GV standard products 2A55 and 2A53 is used in the study.…”

Section: Datamentioning

confidence: 99%

“…These are adjusted monthly according to the probability density function (PDF) of the rain rates measured from the surface rain gauge network using the Window Probability Matching Method (WPMM) (Rosenfeld et al 1994). To evaluate the WSR-88D rainfall product over the Melbourne site, Wolff et al (2005) have conducted a validation through dependent, quasi-independent and independent approaches. They found that error statistics from both dependent and independent validation techniques show an agreement between gauge-measured and radar-estimated rainfall to within 8%.…”

Section: Data Error Sourcesmentioning

confidence: 99%

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Changes in the TRMM Version-5 and Version-6 Precipitation Radar Products Due to Orbit Boost

Liao¹,

Meneghini²

2009

Journal of the Meteorological Society of Japan

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The performance of the version-5 and version-6 Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) products before and after the satellite orbit boost is assessed through a series of comparisons with Weather Surveillance Radar (WSR)-88D ground-based radar in Melbourne, Florida. Analysis of the comparisons of radar reflectivity near the storm top from the ground radar and both versions of the PR indicates that the PR bias relative to the WSR radar at Melbourne is on the order of 1 dB for both pre-and post-boost periods, indicating that the PR products maintain accurate calibration after the orbit boost. Comparisons with the WSR-88D near-surface reflectivity factors indicate that both versions of the PR products accurately correct for attenuation in stratiform rain. However, in convective rain, both versions exhibit negative biases in the near-surface radar reflectivity with version-6 products having larger negative biases than version-5. Rain rate comparisons between the ground and space radars show similar characteristics.

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Section: Matching Methodsmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Data Error Sourcesmentioning

confidence: 99%

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Changes in the TRMM Version-5 and Version-6 Precipitation Radar Products Due to Orbit Boost

Liao¹,

Meneghini²

2009

Journal of the Meteorological Society of Japan

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“…This is because small-scale and short temporal variation of convective clouds are difficult to detect by the TRMM sensors. In addition, the difficulty of the TRMM sensor algorithms in identifying different cloud types would cause miscalculation of the rain rate [50].…”

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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“…Temporalmente también se cuenta con una buena resolución ya que existen datos cada tres horas. Cabe indicar que estos datos satelitales han sido validados y probados desde estaciones en tierra y en aire por la TSVO (por TRMM Satellite Validation Office, en inglés) con el objetivo de verificar la fiabilidad de los datos (Wolff et al, 2004).…”

Section: Evidencia Experimental De Las Transiciones De Fase En La Preunclassified

La precipitación intensa vista desde la criticalidad auto-organizanda y las transiciones de fase continuas: un nuevo enfoque de estudio

Serrano

Basile

2012

lgr

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Manuscrito recibido el 18 de abril de 2012. Aceptado, tras revisión, el 17 de junio de 2012. ResumenLa criticalidad auto-organizada, en inglés Self-Organized Criticality (SOC) es un modelo teórico reciente que describe a los sistemas complejo y ocurre generalmente cerca de las transiciones de fase continuas. Según esta teoría, un parámetro de orden se incrementa siguiendo una ley de potencia cuando un parámetro de sintonización pasa por un valor crítico; al acoplarse estos parámetros, el punto crítico se convierte en un atractor y resulta una SOC. Asimismo, la escala del parámetro de orden diverge. Aunque este concepto ha sido aplicado a campos muy diversos, que van desde la geofísica hasta la economía, los fenómenos climáticos aún se siguen considerando como sistemas caóticos cuyo comportamiento, marcado por el cuasi-equilibrio de Arakawa y Schubert (1974), está lejos de la auto-organización. Bajo este contexto, la presente revisión busca dar un formulismo efectivo a los fenómenos que involucran las precipitaciones intensas, utilizando la teoría de la SOC y las transiciones de fase. Así, se argumenta que al llegar a un valor crítico de vapor de agua (el parámetro de sintonización) se genera una transición de fase continua fuera del equilibrio hacia un régimen de convección y precipitación intensas (el parámetro de orden), con regiones de correlación con magnitudes de decenas a cientos de kilómetros (Peters y Neelin, 2006b). Así se logra una relación de potencia entre la precipitación intensa y los datos el vapor de agua. Palabras claves:Criticalidad auto-organizada, transiciones de fase continuas, precipitación intensa. AbstractThe self-organized criticality (SOC) is a recent proposed theoretical model for complex systems. Critical phenomena occur near phase transitions. According to this theory, when an ordered parameter increases as a power law, a tuning parameter crosses a critical value. When these parameters couple, the critical point becomes an attractor and the result is a SOC phenomenon. As a characteristic, their scale diverge. Although this concept has been applied in many different processes, ranging from geophysics to economy; in meteorology the physical process is still being considered as chaotic systems. In this case the behavior, marked by the quasi-equilibrium (Arakawa y Schubert, 1974) is far from being self-organized, with uncertainties that grow exponentially. In this context, the present review aims to propose an effective formalism to intense precipitation phenomena using SOC and continuous phase transitions theory. We suggested that the achievement of a critical value of water vapor (parameter tuning) generates a continuous phase transition that yields into a regime of strong convection and precipitation (the order parameter), with correlated regions of hundreds of kilometers (Peters y Neelin, 2006b) that follow a power law relation between intense precipitation and water vapor data.

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Ground Validation for the Tropical Rainfall Measuring Mission (TRMM)

Cited by 155 publications

References 23 publications

Changes in the TRMM Version-5 and Version-6 Precipitation Radar Products Due to Orbit Boost

Changes in the TRMM Version-5 and Version-6 Precipitation Radar Products Due to Orbit Boost

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

La precipitación intensa vista desde la criticalidad auto-organizanda y las transiciones de fase continuas: un nuevo enfoque de estudio

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