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Relevant bibliographies by topics / Rainfall Correction

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Academic literature on the topic 'Rainfall Correction'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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Journal articles on the topic "Rainfall Correction"

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Lee, J. K., J. H. Kim, and M. K. Suk. "Application of bias correction methods to improve the accuracy of quantitative radar rainfall in Korea." Atmospheric Measurement Techniques Discussions 8, no. 11 (2015): 11429–65. http://dx.doi.org/10.5194/amtd-8-11429-2015.

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Abstract. There are many potential sources of the biases in the radar rainfall estimation process. This study classified the biases from the rainfall estimation process into the reflectivity measurement bias and the rainfall estimation bias by the Quantitative Precipitation Estimation (QPE) model and also conducted the bias correction methods to improve the accuracy of the Radar-AWS Rainrate (RAR) calculation system operated by the Korea Meteorological Administration (KMA). In the Z bias correction for the reflectivity biases occurred by measuring the rainfalls, this study utilized the bias co

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Hambali, Roby, Djoko Legono, and Rachmad Jayadi. "Correcting Radar Rainfall Estimates Based on Ground Elevation Function." Journal of the Civil Engineering Forum 5, no. 3 (2019): 300. http://dx.doi.org/10.22146/jcef.49395.

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X-band radar gives several advantages for quantitative rainfall estimation, involving higher spatial and temporal resolution, also the ability to reduce attenuation effects and hardware calibration errors. However, the estimates error due to attenuation in heavy rainfall condition cannot be avoided. In the mountainous region, the impact of topography is considered to contribute to radar rainfall estimates error. To have more reliable estimated radar rainfall to be used in various applications, a rainfall estimates correction needs to be applied. This paper discusses evaluation and correction t

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Lee, J. K., J. H. Kim, and M. K. Suk. "Application of bias correction methods to improve the accuracy of quantitative radar rainfall in Korea." Atmospheric Measurement Techniques Discussions 8, no. 4 (2015): 4011–47. http://dx.doi.org/10.5194/amtd-8-4011-2015.

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Abstract. There are many potential sources of bias in the radar rainfall estimation process. This study classified the biases from the rainfall estimation process into the reflectivity measurement bias and QPE model bias and also conducted the bias correction methods to improve the accuracy of the Radar-AWS Rainrate (RAR) calculation system operated by the Korea Meteorological Administration (KMA). For the Z bias correction, this study utilized the bias correction algorithm for the reflectivity. The concept of this algorithm is that the reflectivity of target single-pol radars is corrected bas

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Kang, Kwangmin, and Venkatesh Merwade. "The effect of spatially uniform and non-uniform precipitation bias correction methods on improving NEXRAD rainfall accuracy for distributed hydrologic modeling." Hydrology Research 45, no. 1 (2013): 23–42. http://dx.doi.org/10.2166/nh.2013.194.

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In order to improve the accuracy of rainfall estimates from next generation radar (NEXRAD) uncertainties, data assimilation technique is performed by considering NEXRAD and available rain gauges which can be used to assimilate spatially uniform Multisensor Precipitation Estimator (MPE) scheme and non-uniform (based on rainfall interpolation and bias interpolation) NEXRAD bias estimations during a storm event by Kalman filtering. Even though NEXRAD provides a better spatial representation of rainfall variability than rain gauge information, it suffers from uncertainties and biases due to Z–R (r

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Ben-Edigbe, J., A. H. Pakshir, and S. O. Ibijola. "Extent of Entry Capacity Loss at Roundabouts Caused by Rainy Conditions." Advances in Civil Engineering 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/4192323.

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Entry capacity loss at multilane roundabouts caused by rainfall was investigated. Traffic and rainfall data were collected continuously for eight weeks at selected sites in South Africa and Malaysia. Three classes of rainfall (light, moderate, and heavy) were used. Both linear and exponential techniques were used to model the relationship between entry and circulating traffic flows. Correction factor for entry angle and radius was introduced in the linear model equations to allow for variations in geometric data. Correction factor is not required for the exponential model technique. Notwithsta

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Zacharov, P., and D. Rezacova. "The effect of radar-based QPE on the Fractions Skill Score used at the QPF verification." Advances in Geosciences 25 (March 30, 2010): 91–95. http://dx.doi.org/10.5194/adgeo-25-91-2010.

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Abstract. In this paper we show the influence of gauge adjustment technique, applied to radar-based rainfalls, on the results of QPF verification. The results were obtained for four convective events which produced heavy local rainfalls and caused local flash floods at the Czech territory. Numerical weather prediction model COSMO was run to obtain rainfall forecast and Fractions Skill Score was employed in the QPF verification. Three different radar-based quantitative precipitation estimates (QPE) were used for the verification and the verification results were compared. The QPE data sets cons

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Harader, E., V. Borrell-Estupina, S. Ricci, et al. "Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez catchment in Southern France." Hydrology and Earth System Sciences 16, no. 11 (2012): 4247–64. http://dx.doi.org/10.5194/hess-16-4247-2012.

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Abstract. The present study explores the application of a data assimilation (DA) procedure to correct the radar rainfall inputs of an event-based, distributed, parsimonious hydrological model. An extended Kalman filter algorithm was built on top of a rainfall-runoff model in order to assimilate discharge observations at the catchment outlet. This work focuses primarily on the uncertainty in the rainfall data and considers this as the principal source of error in the simulated discharges, neglecting simplifications in the hydrological model structure and poor knowledge of catchment physics. The

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Greene, RSB, and GR Sawtell. "Correction." Soil Research 30, no. 6 (1992): 1001. http://dx.doi.org/10.1071/sr9921001c.

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Chumchean, Siriluk, Ashish Sharma, and Alan Seed. "An Integrated Approach to Error Correction for Real-Time Radar-Rainfall Estimation." Journal of Atmospheric and Oceanic Technology 23, no. 1 (2006): 67–79. http://dx.doi.org/10.1175/jtech1832.1.

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Abstract A procedure for estimating radar rainfall in real time consists of three main steps: 1) the measurement of reflectivity and removal of known sources of errors, 2) the conversion of the reflectivity to a rainfall rate (Z–R conversion), and 3) the adjustment of the mean field bias as assessed using a rain gauge network. Error correction is associated with the first two steps and incorporates removing erroneous measurements and correcting biases in the Z–R conversion. This paper investigates the relative importance of error correction and the mean field bias–adjustment processes. In addi

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Kosasih, Ahmad, Hartono Hartono, and Retnadi Heru Jatmiko. "PENGARUH KOREKSI ATENUASI RADAR CUACA TERHADAP PERHITUNGAN ESTIMASI CURAH HUJAN DI JAWA TIMUR." Jurnal Teknosains 10, no. 2 (2021): 111. http://dx.doi.org/10.22146/teknosains.53452.

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Rainfall estimation using band C weather radar creates uncertainty in the results of its estimation accuracy. The cause is meteorological and non-meteorological disturbances that affect the reflectivity raw data (dBz), one of which is attenuation due to rain, especially with heavy and very heavy intensity. This study aims to evaluate the attenuation correction ability of the reflectivity raw data generated by the weather radar against the calculation of rainfall estimates at the Juanda Sidoarjo Meteorological Station, as well as the best attenuation correction coefficient to be applied in the

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Dissertations / Theses on the topic "Rainfall Correction"

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Towers, Sandra Y. "Vertical reflectivity profiles and the correction of operational radar rainfall data." Thesis, University of Salford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360409.

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Palanisamy, Bakkiyalakshmi. "Evaluation of SWAT model - subdaily runoff prediction in Texas watersheds." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5921.

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Spatial variability of rainfall is a significant factor in hydrologic and water quality modeling. In recent years, characterizing and analyzing the effect of spatial variability of rainfall in hydrologic applications has become vital with the advent of remotely sensed precipitation estimates that have high spatial resolution. In this study, the effect of spatial variability of rainfall in hourly runoff generation was analyzed using the Soil and Water Assessment Tool (SWAT) for Big Sandy Creek and Walnut Creek Watersheds in North Central Texas. The area of the study catchments was 808 km2 and 1

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Chen, Ruiyue. "Beamfilling correction study for retrieval of oceanic rain from passive microwave observations." Texas A&M University, 2003. http://hdl.handle.net/1969/39.

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Merino, Manuel. "Evaluation of the Performance of Satellite Precipitation Products over Africa." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/293730.

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In the context of the SERVIR-Africa project, the SERVIR Arizona Team is developing streamflow forecast systems on African basins using Satellite Precipitation Products (SPP) to drive the models. These products have errors that need to be addressed before using them to drive hydrologic models. An analysis of the errors of the Satellite Precipitation Products TMPA-3B42RT, CMORPH, and PERSIANN over Africa is presented, followed by bias correction and error reduction methods to improve the remote sensed estimates. The GPCP 1-degree-day reanalysis product was used as the rainfall truth dataset. The

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Domaszczynski, Piotr. "Performance evaluation of a network of polarimetric X-Band radars used for rainfall estimation." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3286.

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Networks of small, often mobile, polarimetric radars are gaining popularity in the hydrometeorology community due to their rainfall observing capabilities and relative low purchase cost. In recent years, a number of installations have become operational around the globe. The problem of signal attenuation by intervening rainfall has been recognized as the major source of error in rainfall estimation by short-wavelength (C-, X, K-band) radars. The simultaneous observation of precipitation by multiple radars creates new prospects for better and more robust attenuation correction algorithms and, c

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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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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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Bistritschan, Torsten. "Impact of moisture flux corrections on seasonal predictability of African rainfall." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400554.

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ZeYuan and 袁舴. "Real-time Error Correction for Hourly Rainfall Ensemble Forecasting." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/87588595661855293860.

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碩士<br>國立成功大學<br>水利及海洋工程學系<br>104<br>The main purpose of this study is to correct the errors of weather research and forecasting (WRF) model in precipitation forecasting. The study area is Kaoping River Basin located in southern Taiwan where usually suffers from floods during typhoon season. In this study, the radar precipitation data are regard as the reference (i.e., true values) to eliminate WRF forecasting error. Two methods, random forests (RF) and support vector machines (SVM), are used to correct the discrepancies between the forecasted precipitation data from WRF model and the radar pre

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Liu, Bin-wu, and 劉鑌鋈. "Correction of QPESUMS Radar Rainfall Using Machine Learning Methods." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/10618915542396765517.

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碩士<br>國立成功大學<br>水利及海洋工程學系碩博士班<br>97<br>This study developed two machine learning methods, the support vector regression (SVR) and the radial basis function neural network (RBFNN), to improve radar rainfall from the high resolution QPESUMS (quantitative precipitation estimation and segregation using multiple sensors) system provided by the Central Weather Bureau in Taiwan. The goal of this research is to enhance the accuracy of radar rainfall estimation which are found largely underestimate in the mountain regions, but to preserve the advantage of high spatial and temporal resolution of radar r

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Book chapters on the topic "Rainfall Correction"

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de Vos, N. J., and T. H. M. Rientjes. "Correction of Timing Errors of Artificial Neural Network Rainfall-Runoff Models." In Practical Hydroinformatics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-79881-1_8.

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Caylor, I. J., J. W. F. Goddard, S. E. Hopper, and A. J. Illingworth. "Bright Band Errors in Radar Estimates of Rainfall: Identification and Correction Using Polarization Diversity." In Weather Radar Networking. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_34.

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Illingworth, Anthony J., and I. Jeff Caylor. "Polarisation Radar Estimates of Rainfall: Correction of Errors Due to the Bright Band and to Anomalous Propagation." In International Weather Radar Networking. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2404-1_43.

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Sharma, Ashish, Rajeshwar Mehrotra, and Fiona Johnson. "A New Framework for Modeling Future Hydrologic Extremes: Nested Bias Correction as a Precursor to Stochastic Rainfall Downscaling." In Climate Change Modeling, Mitigation, and Adaptation. American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784412718.ch13.

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Wuthiwongyothin, S., S. Mili, and N. Phadungkarnlert. "A Study of Correcting Climate Model Daily Rainfall Product Using Quantile Mapping in Upper Ping River Basin, Thailand." In APAC 2019. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0291-0_166.

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Koster, T., G. Serafy, H. van den Boogaard, A. Heemink, and A. Mynett. "Input correction in rainfall runoff models using the Ensemble Kalman filter." In Environmental Hydraulics and Sustainable Water Management, Two Volume Set. CRC Press, 2004. http://dx.doi.org/10.1201/b16814-324.

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Das Gupta, Sujaya, M. S. Zambare, and A. D. Shaligram. "IoT Setup for Co-measurement of Water Level and Temperature." In Securing the Internet of Things. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9866-4.ch034.

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Recent time has witnessed severe scarcity of water owing to deficient rainfall in India. The current climatic conditions in the country, project the rise in temperature and arid conditions contributing substantially towards the evaporation losses. In order to deal with the looming crisis, it is peremptory to minimize evaporation losses in the water bodies, at least measure them to get a fair idea and initiate corrective measures. This paper aims to develop a system for continuous monitoring of the water level as an indicator to the evaporation process. The system also indicates temperature of the water which influences the evaporation rate.

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Conference papers on the topic "Rainfall Correction"

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Im, Eastwood, Simone Tanelli, Roberto Mascelloni, and Luca Facheris. "Spaceborne rainfall Doppler radar measurements: correction of errors induced by pointing uncertainties." In Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, edited by Christian D. Kummerow, JingShang Jiang, and Seiho Uratuka. SPIE, 2003. http://dx.doi.org/10.1117/12.467764.

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Alquaied, Faisal, and W. Linwood Jones. "An emissive antenna correction for the Tropical Rainfall Measuring Mission Microwave Imager (TMI)." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127398.

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Alquaied, Faisal, Ruiyao Chen, and W. Linwood Jones. "Hot load temperature correction for the Tropical Rainfall Measuring Mission Microwave Imager (TMI)." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127399.

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Faqih, Akhmad, Fadhlil Rizki Muhammad, Imam Wahyu Amanullah, and Ilham Bayu Widagdo. "A combined dynamical and bias correction technique for generating probabilistic daily rainfall forecasts over Indonesia." In Sixth International Symposium on LAPAN-IPB Satellite, edited by Tien Dat Pham, Kasturi D. Kanniah, Kohei Arai, et al. SPIE, 2019. http://dx.doi.org/10.1117/12.2541984.

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ASENCIOS-ASTORAYME, HENRY, EUSEBIO INGOL-BLANCO, and ABEL MEJÍA-MARCACUZCO. "EFFECTS OF BIAS CORRECTION OF DAILY SATELLITE-BASED RAINFALL ESTIMATES ON REAL-TIME MONITORING AND HYDROLOGICAL FORECASTING AT THE RIMAC RIVER WATERSHED, PERU." In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-1534.

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Salguero, Gualberto Chiriboga. "Geotechnical Management in OCP Pipeline." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90154.

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Landslides are one of the main threats in maintaining pipeline integrity and depend directly on natural geological and geotechnical conditions. External factors such as weather, rainfall, and others, can trigger land movements and displace the pipeline. The Ecuadorian OCP (Heavy Crude Oil Pipeline) is a buried pipeline going in an East to West direction, crossing 485 kilometers of the Ecuadorian territory. It starts in the Amazon Region (approximately 300 meters above sea level), and then climbs the Andes Mountains (4060 meters above sea level in its tallest portion), to then descend to the sh

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Brouillard, Lee, and Micheael J. Irwin. "Using Real-Time Vadose Zone Monitoring for Long Term Performance Assessment of a Corrective Action Management Unit Containment Cell, Sandia National Laboratories, New Mexico." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4914.

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Sandia National Laboratories in Albuquerque, New Mexico (SNL/NM), operates a Corrective Action Management Unit (CAMU) for the United States Department of Energy (DOE). In 1997 SNL/NM was granted a permit modification that allowed construction and operation of a CAMU. The CAMU follows regulatory guidance that facilitates expedient and cost-effective cleanup and management of hazardous remediation wastes. Treatment operations were completed in January 2003 in conjunction with containment of 845,000 cubic feet (23,930 cubic meters) of treated soil. The containment cell is situated approximately 4

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