scholarly journals Evaluation of TRMM Multi-satellite Precipitation Analysis during the passage of Tropical Cyclones over Fiji

2017 ◽  
Vol 66 (4) ◽  
pp. 442-456
Author(s):  
A Deo ◽  
Kevin Walsh
Keyword(s):  
Tropical Cyclones ◽  
Satellite Precipitation ◽  
Precipitation Analysis

scholarly journals Evaluation of TRMM Multi-satellite Precipitation Analysis during the passage of Tropical Cyclones over Fiji

2016 ◽  
Vol 66 (4) ◽  
pp. 442
Author(s):  
Anil Deo ◽  
Kevin J. E. Walsh
Keyword(s):  
Tropical Cyclones ◽  
Rainfall Intensity ◽  
Daily Rainfall ◽  
Disaster Mitigation ◽  
Intensity Increase ◽  
Reference Dataset ◽  
Satellite Precipitation ◽  
Rain Gauges ◽  
Precipitation Analysis ◽  
Terrain Elevation

Fiji is prone to the devastating effects of heavy rainfall during the passage of tropical cyclones (TCs) and as such accurate measurement of rainfall during such events is urgent for effective disaster mitigation and risk analysis. Fiji, however, has a sparse distribution of rain gauges, thus there is a deficiency in the accurate measurement of rainfall. This gap could be filled by satellite-based rainfall estimates but before they are used, they need to be validated against a reference dataset for their accuracy and limitations. This study thus validates the TRMM based Multi-satellite Precipitation Analysis (TMPA) estimates over the island of Fiji. The study shows that TMPA has moderate skill in estimating rainfall during the passage of TCs over the island of Fiji. This skill is also highly variable as it decreases with an increase in rainfall intensity, increase in distance from the cyclone centre and increasing terrain elevation. The ability of TMPA also varies case by case but we report a general underestimation of rainfall by TMPA during the passage of TCs with a larger rainfall rate (defined in our case as those TCs with average daily rainfall greater than 25 mm day-1).

scholarly journals Modelación de Crecidas Aluvionales en la Cuenca del Río Copiapó, Chile

2017 ◽  
Vol 21 (2) ◽  
pp. 135 ◽  
Author(s):  
Rodrigo Valdés-Pineda ◽  
Juan B. Valdés ◽  
Pablo García-Chevesich
Keyword(s):  
Mass Movement ◽  
Satellite Precipitation ◽  
Precipitation Analysis ◽  
Del Rio ◽  
Movement Simulation ◽  
Rapid Mass

<p class="Resumen">Los eventos extremos de precipitación intensa que se produjeron entre el 24 y 26 de marzo de 2015 en la región del Desierto de Atacama (26-29°S), en el Norte de Chile, dejaron alrededor de 30 000 damnificados, siendo uno de los eventos de mayores magnitudes de los últimos 50 años, y que tuvo un costo de reconstrucción de alrededor de $1.5 billones de dólares. Los flujos de detritos que se incrementaron durante la crecida inundaron gran parte de las ciudades de Copiapó y Tierra Amarilla. Este manuscrito tiene por objetivo modelar la crecida aluvional de marzo de 2015 en la cuenca del Río Copiapó, específicamente en las localidades de Copiapó y Tierra Amarilla. La modelación se lleva a cabo utilizando el modelo Rapid Mass Movement Simulation (RAMMS) que permite modelar la dinámica de la crecida aluvional en dos dimensiones, utilizando las características topográficas de los dominios de modelación. La calibración del modelo fue llevada a cabo satisfactoriamente utilizando datos de alturas capturados en terreno después de la crecida del año 2015. Un análisis detallado del evento hidrometeorológico es llevado a cabo utilizando imágenes satelitales obtenidas desde Multi-satellite Precipitation Analysis (TMPA), así como datos pluviométricos e hidrográficos disponibles en la cuenca del Río Copiapó. La simulación de la crecida es reproducida con mapas de alturas de inundación asociados a dos escenarios de modelación. Las alturas máximas de inundación son finalmente utilizadas para el desarrollo de mapas de riesgos en ambas localidades. De acuerdo a nuestros resultados, el modelo RAMMS es una herramienta apropiada para modelar crecidas aluvionales y elaborar mapas de riesgos de inundación para mejorar la gestión de riesgos hidrológicos en cuencas áridas y semiáridas de Chile.</p>

scholarly journals Applicability and Hydrologic Substitutability of TMPA Satellite Precipitation Product in the Feilaixia Catchment, China

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1803
Author(s):  
Xiaoli Chen ◽  
Guoru Huang
Keyword(s):  
Assessment Tool ◽  
Swat Model ◽  
Tropical Rainfall Measuring Mission ◽  
Climatic Conditions ◽  
High Latitudes ◽  
Climate Trends ◽  
Runoff Simulation ◽  
Satellite Precipitation ◽  
Precipitation Analysis ◽  
Water Assessment

The assessment of various precipitation products’ performances in extreme climatic conditions has become a topic of interest. However, little attention has been paid to the hydrological substitutability of these products. The objective of this study is to explore the performance of the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) product in the Feilaixia catchment, China. To assess its applicability in extreme consecutive climates, several statistical indices are adopted to evaluate the TMPA performance both qualitatively and quantitatively. The Cox–Stuart test is used to investigate extreme climate trends. The Soil and Water Assessment Tool (SWAT) model is used to test the TMPA hydrological substitutability via three scenarios of runoff simulation. The results demonstrate that the overall TMPA performance is acceptable, except at high-latitudes and locations where the terrain changes greatly. Moreover, the accuracy of the SWAT model is high both in the semi-substitution and full-substitution scenarios. Based on the results, the TMPA product is a useful substitute for the gauged precipitation in obtaining acceptable hydrologic process information in areas where gauged sites are sparse or non-existent. The TMPA product is satisfactory in predicting the runoff process. Overall, it must be used with caution, especially at high latitudes and altitudes.

scholarly journals Adjusting Satellite Precipitation Data to Facilitate Hydrologic Modeling

2010 ◽  
Vol 11 (4) ◽  
pp. 966-978 ◽  
Author(s):  
Kenneth J. Tobin ◽  
Marvin E. Bennett
Keyword(s):  
Hydrological Modeling ◽  
Tropical Rainfall Measuring Mission ◽  
Probability Of Detection ◽  
Precipitation Data ◽  
Satellite Precipitation ◽  
Precipitation Product ◽  
San Pedro ◽  
Precipitation Analysis ◽  
San Pedro Basin ◽  
Daily Time

Abstract Significant concern has been expressed regarding the ability of satellite-based precipitation products such as the National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42 products (version 6) and the U.S. National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center’s (CPC) morphing technique (CMORPH) to accurately capture rainfall values over land. Problems exist in terms of bias, false-alarm rate (FAR), and probability of detection (POD), which vary greatly worldwide and over the conterminous United States (CONUS). This paper directly addresses these concerns by developing a methodology that adjusts existing TMPA products utilizing ground-based precipitation data. The approach is not a simple bias adjustment but a three-step process that transforms a satellite precipitation product. Ground-based precipitation is used to develop a filter eliminating FAR in the authors’ adjusted product. The probability distribution function (PDF) of the satellite-based product is adjusted to the PDF of the ground-based product, minimizing bias. Failure of precipitation detection (POD) is addressed by utilizing a ground-based product during these periods in their adjusted product. This methodology has been successfully applied in the hydrological modeling of the San Pedro basin in Arizona for a 3-yr time series, yielding excellent streamflow simulations at a daily time scale. The approach can be applied to any satellite precipitation product (i.e., TRMM 3B42 version 7) and will provide a useful approach to quantifying precipitation in regions with limited ground-based precipitation monitoring.

Evaluation of TRMM multi-satellite precipitation analysis (TMPA) against terrestrial measurement over a humid sub-tropical basin, India

2016 ◽  
Vol 129 (3-4) ◽  
pp. 783-799 ◽  
Author(s):  
Dheeraj Kumar ◽  
Amar Kant Gautam ◽  
Santosh S Palmate ◽  
Ashish Pandey ◽  
Shakti Suryavanshi ◽  
...  
Keyword(s):  
Satellite Precipitation ◽  
Precipitation Analysis
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