Relevant bibliographies by topics / Satellite rainfall estimation / Dissertations / Theses
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Dissertations / Theses on the topic 'Satellite rainfall estimation'

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Published: 6 September 2023

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1

D'Souza, G. "Rainfall estimation over Africa using satellite data." Thesis, University of Bristol, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384497.

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2

Hsu, Kuo-Lin, Soroosh Sorooshian, Xiaogang Gao, and Hoshin Vijai Gupta. "Rainfall estimation from satellite infrared imagery using artificial neural networks." Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1997. http://hdl.handle.net/10150/615703.

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Infrared (IR) imagery collected by geostationary satellites provides useful information about the dirunal evolution of cloud systems. These IR images can be analyzed to indicate the location of clouds as well as the pattern of cloud top temperatures (Tbs). During the past several decades, a number of different approaches for estimation of rainfall rate (RR) from Tb have been explored and concluded that the Tb-RR relationship is (1) highly nonlinear, and (2) seasonally and regionally dependent. Therefore, to properly model the relationship, the model must be able to: (1) detect and ident
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3

Hsu, Kuo-lin 1961. "Rainfall estimation from satellite infrared imagery using artificial neural networks." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/191209.

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Infrared (IR) imagery collected by geostationary satellites provides useful information about the dirunal evolution of cloud systems. These JR images can be analyzed to indicate the location of clouds as well as the pattern of cloud top temperatures (Tbs). During the past several decades, a number of different approaches for estimation of rainfall rate (RR) from Tb have been explored and concluded that the Tb-RR relationship is (1) highly nonlinear, and (2) seasonally and regionally dependent. Therefore, to properly model the relationship, the model must be able to: (1) detect and identify a n
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4

Morland, June Christine. "Observations of surface microwave emission in the context of satellite rainfall estimation." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245823.

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Famennian (Upper Devonian) ammonoids and their biostratigraphy are reviewed with particular reference to the Sauerland and Oberfranken, West Germany. Host european species of the Order Clymeniida are described. The Famennian ammonoid zonal scheme is rationalised and within it 23 faunal levels are proposed. Ammonoid Zones and conodont zones are correlated, and the rhomboidea (conodont) Zone is newly recognised to be coeval with the curvispina Zone. The fOllowing genera and subgenera are dealt with in detail: Progonioclyrnenia, Endosiphonites, Sellaclymenia, Biloclymenia, Gonioclymenia (Gon.), G
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5

Chadwick, Robin. "Multi-spectral satellite rainfall estimation over Africa using meteosat second generation data." Thesis, University of Reading, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542062.

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6

Faridhosseini, Alireza. "Evaluation of Summer Rainfall Estimation by Satellite Data using the ANN Model for the GCM Subgrid Distribution." Thesis, The University of Arizona, 1998. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_etd_hy0021_m_sip1_w.pdf&type=application/pdf.

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7

Diop, Mariane. "The influence of weather systems on satellite rainfall estimation with application to river flow." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397102.

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8

Ahmad, Khalil Ali. "ESTIMATION OF OCEANIC RAINFALL USING PASSIVE AND ACTIVE MEASUREMENTS FROM SEAWINDS SPACEBORNE MICROWAVE SENSOR." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3015.

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The Ku band microwave remote sensor, SeaWinds, was developed at the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL). Two identical SeaWinds instruments were launched into space. The first was flown onboard NASA QuikSCAT satellite which has been orbiting the Earth since June 1999, and the second instrument flew onboard the Japanese Advanced Earth Observing Satellite II (ADEOS-II) from December 2002 till October 2003 when an irrecoverable solar panel failure caused a premature end to the ADEOS-II satellite mission. SeaWinds operates at a frequency of 13.4 GHz
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9

Ringard, Justine. "Estimation des précipitations sur le plateau des Guyanes par l'apport de la télédétection satellite." Thesis, Guyane, 2017. http://www.theses.fr/2017YANE0010/document.

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Le plateau des Guyanes est une région qui est caractérisée à 90% d’une forêt tropicale primaire et compte pour environ 20% des réserves mondiales d’eau douce. Ce territoire naturel, au vaste réseau hydrographique, montre des intensités pluviométriques annuelles atteignant 4000 mm/an ; ce qui fait de ce plateau une des régions les plus arrosées du monde. De plus les précipitations tropicales sont caractérisées par une variabilité spatiale et temporelle importante. Outre les aspects liés au climat, l’impact des précipitations dans cette région du globe est important en termes d’alimentation éner
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10

Cassé, Claire. "Impact du forçage pluviométrique sur les inondations du fleuve Niger à Niamey : Etude à partir de données satellitaires et in-situ." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30236/document.

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Depuis le développement des mesures satellites de nombreuses missions spatiales sont dédiées au suivi de l'atmosphère et de la surface terrestre. Ces travaux de thèse s'inscrivent dans le cadre de la mission Megha-Tropiques dédiée au cycle de l'eau et de l'énergie en zone tropicale. L'objectif est d'évaluer le potentiel des estimations de précipitation par satellite pour des applications hydrologiques en zone tropicale. Les Tropiques réunissent les plus grands fleuves du globe, mais ne bénéficient pas de réseaux d'observation in-situ denses et continus permettant une gestion intégrée efficace
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11

Xu, Liming 1958. "Estimating rainfall from satellite infrared imagery: Cloud patch analysis." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282573.

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Most infrared-based techniques of satellite rainfall estimation contain substantial uncertainties due to the indirect relationship between precipitation particles and space-borne infrared observations of clouds. Generally, these uncertainties include (1) IR temperature threshold defining cold clouds; (2) inclusion of no-rain clouds; (3) exclusion of warm rain clouds; and (4) the coefficients between rain rate and cloud-top properties. To address these uncertainties, a methodology, Cloud Patch Analysis, was developed to estimate rainfall by removing large portion of no-rain clouds from IR cloud
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12

Siyyid, Alward N. "The use of Meteosat satellite data for spatial rainfall estimations and hydrological simulations." Thesis, Aston University, 1993. http://publications.aston.ac.uk/14308/.

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Satellite information, in combination with conventional point source measurements, can be a valuable source of information. This thesis is devoted to the spatial estimation of areal rainfall over a region using both the measurements from a dense and sparse network of rain-gauges and images from the meteorological satellites. A primary concern is to study the effects of such satellite assisted rainfall estimates on the performance of rainfall-runoff models. Low-cost image processing systems and peripherals are used to process and manipulate the data. Both secondary as well as primary satellite
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13

Angerer, Jay Peter. "Examination of high resolution rainfall products and satellite greenness indices for estimating patch and landscape forage biomass." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2827.

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14

de, Luque Söllheim Ángel Luis. "Two satellite-based rainfall algorithms, calibration methods and post-processing corrections applied to Mediterranean flood cases." Doctoral thesis, Universitat de les Illes Balears, 2008. http://hdl.handle.net/10803/9434.

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Esta tesis explora la precisión de dos métodos de estimación de precipitación, Auto-Estimator y CRR (Convective Rainfall Rate), generados a partir de imágenes infrarrojas y visibles del Meteosat. Ambos métodos junto con una serie de correcciones de la intensidad de lluvia estimada se aplican y se verifican en dos casos de inundaciones acaecidas en zonas mediterráneas. El primer caso ocurrió en Albania del 21 al 23 de septiembre de 2002 y el segundo, conocido como caso Montserrat, ocurrió en Cataluña la noche del 9 al 10 se junio de 2000. Por otro lado se investiga la posibilidad de realizar ca
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15

Quiroz, Jiménez Karena. "Modelagem hidrológica com uso da estimativa de chuva por sensoriamento remoto." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/49176.

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As estimativas de chuva por meio do sensoriamento remoto são, atualmente, fonte potencialmente útil para as mais diversas aplicações hidrológicas e climatológicas, especialmente em regiões onde as medições convencionais são escassas, como a Amazônia. Neste trabalho, foram analisadas as estimativas de chuva por satélite como variáveis de entrada ao modelo hidrológico MGB-IPH (Collischonn, 2001). Este modelo simula o ciclo hidrológico através das relações físicas e conceituais de todo processo, sendo os produtos de chuva por satélite avaliados o 3B42, 3B42RT e CMORPH. A primeira área de estudo é
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16

Wei, Chiang, and 衛強. "Study on Rainfall Estimation Using Weather Satellite Imagery." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/88305097412364275517.

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博士<br>國立臺灣大學<br>生物環境系統工程學系暨研究所<br>91<br>In recent years, rainfall estimation using weather satellite imagery has gained increasing attention. GMS imagery and hourly rainfall data of eleven typhoons during 1997-2000 are used in this study. The correlation between cloud top temperature (CCT) derived from weather satellite imagery and corresponding ground measurements of hourly rainfall are analyzed at different spatial and temporal scales. Two approaches are used to estimate rainfall in this study: (i) image classification method and (ii) spatial and temporal rainfall apportionment scheme (STRAS
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17

Wei, Shiao-Ping, and 魏曉萍. "Study on Mesoscale Rainfall Estimation by Combing Satellite Data." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/54376497170321815473.

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18

Lu, Pei-Wen, and 呂珮雯. "Watershed Rainfall Estimation from Satellite Imagery Using Neural Networks." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/37570032073912064870.

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碩士<br>淡江大學<br>水資源及環境工程學系碩士班<br>95<br>The main purpose of this study is to explore the influence of satellite imagery information on rainfall estimation using artificial neural networks. However, it is often difficult to extract interpretable information from satellite images, as data dimensions are large and nonlinear. We proposed the self-organizing map (SOM), one of artificial neural network adept at pattern cognition. In this study, watershed rainfall estimation models are constructed to forecast the rainfall summation of future six hours during typhoon events. The models are based on SOM o
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19

Hsu, Kuo-lin. "Rainfall estimation from satellite infrared imagery using artificial neural networks." 1996. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1996_410_sip1_w.pdf&type=application/pdf.

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20

Hsu, Huei-Yin, and 許惠茵. "Integrating Satellite Imagery and Meteorological Data for Typhoon Rainfall Estimation Using ANNs." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/81495429796740059902.

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碩士<br>淡江大學<br>水資源及環境工程學系碩士班<br>98<br>The main purpose of this study is to explore the influence of satellite imagery and meteorological data on typhoon rainfall forecast using artificial neural networks. The self-organizing map (SOM) is adept at recognizing infrared and visible images and can extract some useful information. In this study, six watershed rainfall estimation models are constructed to forecast the amount of rainfall for one, three and six-hour totals during typhoon events. The models are based on SOM, back-propagation neural network (BPNN) or linear regression to investigate the
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21

Filippucci, Paolo. "High-resolution remote sensing for rainfall and river discharge estimation." Doctoral thesis, 2022. http://hdl.handle.net/2158/1275871.

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The European Union's Earth Observation program, Copernicus, aims to create a vast amounts of global data from satellites and ground-based, airborne and seaborne measurement systems with the goal of providing information to help service providers, public authorities, and other international organizations improve European citizens' quality of life. With the aim of reaching this goal, a new family of missions called Sentinels has been developed by the European Spatial Agency, ESA, specifically for the operational needs of the program. These missions carry a range of cutting-edge technologies, suc
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22

Tsai, I.-Chi, and 蔡伊其. "Evaluation of high resolution satellite data in typhoon rainfall estimation and its application." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9z7zf6.

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碩士<br>國立中央大學<br>大氣科學學系<br>106<br>The Tropical Rainfall Potential (TRaP) technique presented by Kidder et al. in 2005, shifting rainfall distribution from satellite retrieval, and forecasting rainfall for tropical cyclone. Chen(2010) improved TRaP rainfall forecast practicality by adding orographic effect with historical rainfall distribution(I-TRaP). Since I-TRaP forecast uses rainfall distribution from satellite, how to get better rainfall distribution is an important issue. There is only single satellite rainfall product in past study, limited by temporal resolution. For many study, The perf
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23

Indu, J. "Uncertainty Analysis of Microwave Based Rainfall Estimates over a River Basin Using TRMM Orbital Data Products." Thesis, 2014. http://hdl.handle.net/2005/3005.

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Error characteristics associated with satellite-derived precipitation products are important for atmospheric and hydrological model data assimilation, forecasting, and climate diagnostic applications. This information also aids in the refinement of physical assumptions within algorithms by identifying geographical regions and seasons where existing algorithm physics may be incorrect or incomplete. Examination of relative errors between independent estimates derived from satellite microwave data is particularly important over regions with limited surface-based equipments for measuring rain rate
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24

"Rainfall estimation in Southern Africa using meteosat data." Thesis, 2014. http://hdl.handle.net/10210/13086.

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25

Sun, Tain-De, and 孫天德. "A study with artificial neural network on estimating rainfall by using satellite cloud image." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/37342336885135940578.

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碩士<br>中原大學<br>土木工程研究所<br>94<br>There are debris flow disasters in recently years in Taiwan. Since present warning system is hard to reach satisfied results, debris flows frequently cause serious loss on not only human’s life but also their property. Heavy rain is one of the factors that caused debris flows. The precipitation usually concentrates during typhoon season from May to October every year. A question as to how to estimate typhoon rainfall rapidly and accurately has become very important for early warning of debris flows. The purpose of this study is to learn about estimating typhoon
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