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Dissertations / Theses on the topic 'Precipitation prediction'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Tiwari, Pushp Raj. "Dynamical downscaling for wintertime seasonal prediction of precipitation over northwest India." Thesis, IIT Delhi, 2016. http://localhost:8080/xmlui/handle/12345678/7091.

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2

Wahl, Sabrina [Verfasser]. "Uncertainty in mesoscale numerical weather prediction: probabilistic forecasting of precipitation / Sabrina Wahl." Bonn : Universitäts- und Landesbibliothek Bonn, 2015. http://d-nb.info/1080561099/34.

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3

Surcel, Madalina. "A comparison study of precipitation forecasts from three numerical weather prediction systems." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66848.

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Precipitation forecasts over the Continental US from three numerical weather prediction systems, the 4-km resolution, Storm Scale Ensemble Prediction System (SSEF), the 15-km resolution Global Environmental Multiscale (GEM) model and the 28-km resolution Weather Research and Forecasting (WRF) model, are compared and validated against radar observations for 24 precipitation cases between 16 April and 06 June 2008. The diversity of these systems allows the discussion of several issues: the representation of the diurnal cycle of precipitation in Numerical Weather Prediction (NWP

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4

Hossain, Md Monowar. "CMIP5 Decadal Precipitation at Catchment Level and Its Implication to Future Prediction." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/89149.

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This study assesses the monthly precipitation of CMIP5 decadal experiment over Brisbane River catchment for a spatial resolution of 0.050 and then predicts the monthly precipitation for decadal timescale through a Bidirectional LSTM and Machine Learning Algorithms using GCMs and observed data. To use GCM data in this future prediction, investigations were carried out for a suitable spatial interpolation method, a better simulation period, model drifts, and drift correction alternatives based on different skill tests.

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5

Gnanasekar, Nithyakumaran. "Temperature and Hourly Precipitation Prediction System for Road Bridge using Artificial Neural Networks." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448873819.

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6

Binder, Peter. "Aspects of precipitation simulation in numerical weather prediction : towards an operational mesoscale NWP model /." Zürich : Schweizerische Meteorologische Anstalt, 1992. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9908.

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7

Mbali, Siphumelelo. "Improving estimation of precipitation and prediction of river flows in the Jonkershoek mountain catchment." University of the Western Cape, 2016. http://hdl.handle.net/11394/5878.

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Magister Scientiae - MSc (Earth Science)<br>Rainfall is the main input into the land phase of the hydrological cycle which greatly determines the available water resources. Accurate precipitation information is critical for mountain catchments as they are the main suppliers of usable water to the human population. Rainfall received in mountain catchments usually varies with altitude due to the orographic influence on the formation of rainfall. The Langrivier mountain catchment, a sub-catchment of the Jonkershoek research catchment, was found to have a network of rain gauges that does not accur

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8

Ganguly, Auroop Ratan. "Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8374.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.<br>Includes bibliographical references (p. 205-218).<br>Applications of distributed Quantitative Precipitation Forecasts (QPF) range from flood forecasting to transportation. Obtaining QPF is acknowledged to be one of the most challenging areas in hydrology and meteorology. Recent advances in precipitation physics, Numerical Weather Prediction (NWP) models, availability of high quality remotely sensed measurements, and data dictated forecasting tools, offer the opportunity of improvements

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Surussavadee, Chinnawat. "Passive millimeter-wave retrieval of global precipitation utilizing satellites and a numerical weather prediction model." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38537.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2007.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 229-234).<br>This thesis develops and validates the MM5/TBSCAT/F([lambda]) model, composed of a mesoscale numerical weather prediction (NWP) model (MM5), a two-stream radiative transfer model (TBSCAT), and electromagnetic models for icy hydrometeors (F([lambda])), to be used as a g

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10

Pieper, Patrick [Verfasser]. "Meteorological Drought - Universal Monitoring and reliable seasonal Prediction with the Standardized Precipitation Index / Patrick Pieper." Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2020. http://d-nb.info/1227582404/34.

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11

Garcia, José Roberto Motta. "Neural networks input-based models to calibrate the mean precipitation of an ensemble prediction system." Instituto Nacional de Pesquisas Espaciais (INPE), 2016. http://urlib.net/sid.inpe.br/mtc-m21b/2016/08.05.13.14.

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Although ensemble forecasting systems provide richer forecasts by adding probabilistic concepts to single deterministic forecasts, they have intrinsic shortcomings caused by the lack of full comprehension of the relationship between meteorological variables. It is especially noticed in medium and large-scale forecasts, whose effects of chaotic behavior of the atmosphere drastically increase as the target forecasting date is lengthened. Improvements on weather forecasting systems can be done either by the meteorology staff concerning physical aspects of weather behavior as well as by implementi

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12

Silva, Duarte Jorge Alves de Carvalho e. "Mineral scale prediction modelling : precipitation of CaCO3 scale in CO2-water alternating gas production systems." Thesis, Heriot-Watt University, 2017. http://hdl.handle.net/10399/3301.

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The injection of CO2 in oil reservoirs for tertiary oil recovery is one of the main Enhanced Oil Recovery (EOR) processes and it is widely used in the oil and gas industry. To prevent early gas breakthrough, CO2 is commonly injected in alternated slugs with water, in a process known as CO2 Water Alternating Gas (CO2 WAG). When such processes are carried out in carbonate reservoirs, there is the potential for calcite (CaCO3) dissolution in the reservoir and its subsequent re-precipitation in production systems, thus posing a flow assurance risk that must be carefully managed. A new thermodynami

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13

MASCARO, GIUSEPPE. "Assessing uncertainty propagation of precipitation input in hydrometeorological ensemble forecasting systems." Doctoral thesis, Università degli Studi di Cagliari, 2008. http://hdl.handle.net/11584/265979.

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The aim of the thesis is the assessment of precipitation input uncertainty into hydrological response in hydrometeorological ensemble systems for flood prediction. The study has been preliminary focused on the development of a hydrometeorological system that couples a statistical precipitation downscaling model, known as STRAIN, with a fully-distributed hydrological model, known as tRIBS. In a subsequent part of the research, a rigorous method has been designed to test the consistency hypothesis (i.e. ensemble and observations are drawn from the same distribution) of the ensemble precipitati

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14

Hill, Andrew D. "Improving diameter growth prediction of Douglas-fir in eastern Washington State, U.S.A. by incorporating precipitation and temperature /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/5458.

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15

Xiao, Ying. "A Two-dimensional Stochastic Model for Prediction of Localized Corrosion." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1108481091.

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Zahiri, Saden H. (Saden Heshmatollah) 1966. "Prediction of the processing window and austemperability for austempered ductile iron." Monash University, School of Physics and Materials Engineering, 2002. http://arrow.monash.edu.au/hdl/1959.1/8408.

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17

Lv, Duchao. "A Multi-Scale Simulation Approach to Deformation Mechanism Prediction in Superalloys." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469009668.

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18

Vich, Ramis Maria del Mar. "Design of ensemble prediction systems based on potential vorticity perturbations and multiphysics. Test for western Mediterranean heavy precipitation events." Doctoral thesis, Universitat de les Illes Balears, 2012. http://hdl.handle.net/10803/84075.

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L'objectiu principal d'aquesta tesi és millorar l'actual capacitat de predicció de fenòmens meteorològics de pluja intensa potencialment perillosos a la Mediterrània occidental. Es desenvolupen i verifiquen tres sistemes de predicció per conjunts (SPC) que tenen en compte incerteses presents en els models numèrics i en les condicions inicials. Per generar els SPC s'utilitza la connexió entre les estructures de vorticitat potencial (VP) i els ciclons, a més de diferents esquemes de parametrització física. Es mostra que els SPC proporcionen una predicció més hàbil que la determinista. Els SP

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19

Akanegbu, J. O. (Justice Orazulukwe). "Development of a precipitation index-based conceptual model to overcome sparse data barriers in runoff prediction in cold climate." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526221281.

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Abstract This thesis describes the development of a new precipitation index-based conceptual water balance model with parameters easily regionalized through the functional relationship with catchment and climate attributes. It also presents a simple method for improving model dynamics for streamflow simulations in a non-stationary climate. The model was developed for streamflow modelling and prediction in high-latitude catchments, where model parameter regionalization is difficult due to limited availability of hydrological data for the region. The model couples a snow accumulation and melt fo

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20

Dean, John R. "Improving summer drought prediction in the Apalachicola-Chattahoochee-Flint river basin with empirical downscaling." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-07152008-200815/.

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Thesis (M.A.)--Georgia State University, 2008.<br>Title from file title page. Jeremy E. Diem, committee chair; Jeremy W. Crampton, John W. Matthews, committee members. Electronic text (84 p. : ill. (some col., maps (some col.)) : digital, PDF file. Description based on contents viewed Oct. 1, 2008. Includes bibliographical references (p. 77-84).

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21

Carlert, Sara. "Investigation and Prediction of Small Intestinal Precipitation of Poorly Soluble Drugs : a Study Involving in silico, in vitro and in vivo Assessment." Doctoral thesis, Uppsala universitet, Institutionen för farmaci, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-178053.

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The main objectives of the present project were to increase the understanding of small intestinal precipitation of poorly soluble pharmaceutical drugs, investigate occurrence of crystalline small intestinal precipitation and effects of precipitation on absorption. The aim was to create and evaluate methods of predicting crystalline small intestinal drug precipitation using in vivo, in vitro and in silico models. In vivo small intestinal precipitation from highly supersaturated solutions of two weakly basic model drugs, AZD0865 and mebendazole, was investigated in humans and canine models. Pote

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22

Marx, Hester Gerbrecht. "The use of artificial neural networks to enhance numerical weather prediction model forecasts of temperature and rainfall." Diss., Pretoria : [s.n.], 2008. http://upetd.up.ac.za/thesis/available/etd-02102009-161401/.

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23

Vasconi, Matteo. "Sensitivity of forecast skill to the parameterisation of moist convection in the COSMO model." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14566/.

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The parameterisation of convection in limited-area models is an important source of uncertainty as regards the spatio-temporal forecast of precipitation. The development and implementation of ensemble systems in which different convection schemes are used provides an opportunity to upgrade state-of-the-art probabilistic systems at the convection-parameterised scale. As for the limited-area model COSMO, the sensitivity of the forecast skill to the use of different convection schemes is assessed by performing different sets of experiments. For one case of heavy precipitation over Italy, the pe

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24

Chardon, Jérémy. "Intérêts de la méthode des analogues pour la génération de scénarios de précipitations à l'échelle de la France métropolitaine : Cohérence spatiale et adaptabilité du lien d'échelle." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENU044/document.

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Les scénarios hydrologiques requis pour les études d'impacts hydrologiques nécessitent de disposer de scénarios météorologiques non biaisés et qui soient de surcroît adaptés aux échelles spatiales et temporelles des hydro-systèmes considérés. Les scénarios météorologiques obtenus en sortie brute des modèles de climat et/ou des modèles de prévision numérique du temps sont de ce fait non appropriées. Les sorties de ces modèles sont par suite souvent adaptées à l'aide de Méthodes de Descente d'Echelle Statistique (MDES). Depuis les années 2000, les MDES ont beaucoup été utilisées pour la générati

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25

Evans, Daniel Christopher. "Predicting Injection Site Drug Precipitation." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/312666.

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Administering drug therapy through the intravenous route ensures rapid, and complete, bioavailability, which can be critical in an emergency situation. However, bypassing all of its protective barriers leaves the body vulnerable to harm if the parenteral formulation becomes unstable when mixed with the blood. An example of this formulation instability is the precipitation of poorly water-soluble drugs after mixing with the blood's aqueous environment. This happens when parenteral formulations rely too heavily upon the solution pH, and excipients, to increase the drug solubility. This preci

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26

Kaabi, Abdenacer. "Régionalisation des étiages dans le Nord Ouest de l'Algérie : premiers tests." Grenoble 1, 1994. http://www.theses.fr/1994GRE10165.

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La presente recherche a consiste en l'elaboration de tests de modelisation synthetique et previsionnelle des etiages dans le nord-ouest de l'algerie. Ces tests concernent des methodes d'evaluation des ressources estivales par le biais de la predetermination des etiages a l'aide des concepts qdf (debit-duree-frequence), et de la prevision par l'analyse des tarissements. Le choix de la region se justifie par le fait que, ces dernieres annees, la secheresse a sevi beaucoup plus sur les regions situees a l'ouest de l'algerie. Le choix du lot des stations a ete fait par l'agence nationale des resso

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27

Moupfouma, Fidèle. "Etude des précipitations et de leurs effets sur les liaisons hertziennes en visibilité et par satellite dans les régions tropicales." Paris 13, 1987. http://www.theses.fr/1987PA132007.

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Modèle mathématique semi empirique décrivant la distribution cumulative des intensités de pluie quelle que soit la région du monde. Etude de l'influence des affaiblissements dus à la place sur la qualité de fonctionnement des systèmes et modèle de prévision des affaiblissements. Adaptation d'un des paramétres à chacune des regions du globe

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28

Chen, Chia-Jeng. "Hydro-climatic forecasting using sea surface temperatures." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/48974.

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A key determinant of atmospheric circulation patterns and regional climatic conditions is sea surface temperature (SST). This has been the motivation for the development of various teleconnection methods aiming to forecast hydro-climatic variables. Among such methods are linear projections based on teleconnection gross indices (such as the ENSO, IOD, and NAO) or leading empirical orthogonal functions (EOFs). However, these methods deteriorate drastically if the predefined indices or EOFs cannot account for climatic variability in the region of interest. This study introduces a new hydro-climat

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Roulin, Emmannuel. "Medium-range probabilistic river streamflow predictions." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209270.

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River streamflow forecasting is traditionally based on real-time measurements of rainfall over catchments and discharge at the outlet and upstream. These data are processed in mathematical models of varying complexity and allow to obtain accurate predictions for short times. In order to extend the forecast horizon to a few days - to be able to issue early warning - it is necessary to take into account the weather forecasts. However, the latter display the property of sensitivity to initial conditions, and for appropriate risk management, forecasts should therefore be considered in probabilisti

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Quéno, Louis. "Apport de prévisions météorologiques à échelle kilométrique pour la modélisation du manteau neigeux en montagne." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30360/document.

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Le suivi et la représentation de la variabilité du manteau neigeux en montagne sont des enjeux écologiques et sociétaux majeurs. Le récent développement de modèles météorologiques à échelle kilométrique offre un potentiel nouveau pour améliorer les simulations d'enneigement en montagne. Dans cette thèse, nous avons évalué l'apport des prévisions météorologiques du modèle de prévision numérique du temps AROME à 2.5 km de résolution horizontale pour alimenter le modèle détaillé de manteau neigeux Crocus. Les simulations AROME-Crocus distribuées ont d'abord été évaluées sur les Pyrénées de 2010 à

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31

Risley, John. "Predicting runoff and salinity intrusion using stochastic precipitation inputs." Diss., The University of Arizona, 1989. http://ezproxy.library.arizona.edu/login?url=.

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32

McKechnie, Nicole R., and University of Lethbridge Faculty of Arts and Science. "Predicting climate change impacts on precipitation for western North America." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2005, 2005. http://hdl.handle.net/10133/269.

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Global Circulation Models (GCMs) are used to create projections of possible future climate characteristics under global climate change scenarios. Future local and regional precipitation scenarios can be developed by downscaling synoptic CGM data. Daily 500-mb geopotential heights from the Canadian Centre for Climate Modeling and Analysis's CGCM2 are used to represent future (2020-2050) synoptics and are compared to daily historical (1960-1990) 500-mb geopotential height reanalysis data. The comparisons are made based on manually classified synoptic patterns identified by Changnon et al. (1993.

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33

Zelelew, Mulugeta. "Improving Runoff Estimation at Ungauged Catchments." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for vann- og miljøteknikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-19675.

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Water infrastructures have been implemented to support the vital activities of human society. The infrastructure developments at the same time have interrupted the natural catchment response characteristics, challenging society to implement effective water resources planning and management strategies. The Telemark area in southern Norway has seen a large number of water infrastructure developments, particularly hydropower, over more than a century. Recent developments in decision support tools for flood control and reservoir operation has raised the need to compute inflows from local catchment

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34

Dildine, Garrett. "Equilibrium-Based Predictions OF Phosphorus Recovery From Different Wastewater Streams via Chemical Precipitation." Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1619196791599087.

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35

Boers, Niklas. "Complex network analysis of extreme rainfall in South America." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17237.

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Basierend auf der Theorie von Netzwerken wird ein allgemeines Rahmenwerk entwickelt, um kollektive Synchronisationsphänome von Extremereignissen in komplexen Systemen zu studieren. Die Methode vergleicht die Variabilität der einzelnen Teile des Systems auf Grundlage von Beobachtungszeitreihen mit dem Ziel, emergente Synchronisationsmuster von Extremereignissen auf makroskopischer Ebene aufzudecken. Zu diesem Zweck werden die einzelnen Zeitreihen eines interaktiven Systems mit den Knoten eines Netzwerks identifiziert und die Abhängigkeiten zwischen diesen durch die Kanten des Netzwerks darge

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Smith, Tyler Jon. "A conceptual precipitation-runoff modeling suite model selection, calibration and predictive uncertainty assessment /." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/smith/SmithT1208.pdf.

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In Montana and much of the Rocky Mountain West, the single most important parameter in forecasting the controls on regional water resources is snowpack. Despite the heightened importance of snowpack, few studies have considered the representation of uncertainty in coupled snowmelt/hydrologic conceptual models. Uncertainty estimation provides a direct interpretation of the risk associated with predictive modeling results. Bayesian inference, through the application of Markov chain Monte Carlo methods, provides a statistical means of approximating uncertainty associated with both the parameters

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37

Choux, Mathieu. "Development of new predictor climate variables for statistical downscaling of daily precipitation process." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98951.

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Statistical downscaling (SD) procedures have been frequently used for assessing the potential impacts of climate change and variability on hydrological regime. These procedures are based on the empirical relationships between large-scale atmospheric variables (predictors) and surface environment parameters (e.g., precipitation and temperature). The present research work is hence concerned with the development of new predictor climate variables that could be used for improving the accuracy of downscaling of daily precipitation process at a local site. The new predictors should be able to provid

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Alexander, Cindy-Ann Patricia. "A Fuzzy Rule-Based Model for Predicting Precipitation in the Marion, Illinois Station Area." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/theses/881.

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The purpose of this paper is present the results of a developed, and implemented a Fuzzy rule based model to determine the probability of precipitation in the Marion Illinois area during the summer months. The model employs fuzzy logic and the results are compared to actual data to measure how reliable and viable this method is as an option in the precipitation prediction. Researchers, over the years, have been developing models for simulating, predicting and analyzing atmospheric phenomena, in order to accurately determine their immediate and long term effects on the environment and the qual

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Das, Tapash. "The impact of spatial variability of precipitation on the predictive uncertainty of hydrological models." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-28827.

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Kauffeldt, Anna. "Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation." Doctoral thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-236864.

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Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. However, estimates of global water resources are constrained by limitations in availability and quality of data. This thesis explores the quality of both observational and modelled data, gives an overview of models used for large-scale hydrological modelling, and explores the possibilities to de

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Das, Tapash [Verfasser]. "The impact of spatial variability of precipitation on the predictive uncertainty of hydrological models / von Tapash Das." Stuttgart : Inst. für Wasserbau, 2006. http://d-nb.info/996777660/34.

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42

Zamboni, Laura. "Seasonal variability of precipitation over South Eastern South America: its relationship with upper level circulation as physical base for predictions." Doctoral thesis, Università degli studi di Trieste, 2009. http://hdl.handle.net/10077/3212.

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2007/2008<br>At the interannual timescale Sea Surface Temperature (SST) associated with El Niño Southern Oscillation (ENSO) have been identified as modulators of rainfall over South America. The proposed mechanism responsible for anomalies over northern South America involves the modification of the Walker circulation, while the generation (or excitement) of the Pacific-South American (PSA) modes would represent the teleconnection to the subtropics. However, the latter is present even in seasons in which ENSO is not at its peak. In this study our aim is to investigate the interannual variabil

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Albergel, Jean. "Genèse et prédétermination des crues au Burkina Faso : du m² au km² : étude des paramètres hydrologiques et de leur évolution." Paris 6, 1987. http://www.theses.fr/1987PA066139.

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Vavae, Hilia. "A simple forecasting scheme for predicting low rainfalls in Funafuti, Tuvalu." The University of Waikato, 2008. http://hdl.handle.net/10289/2435.

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The development of some ability for forecasting low rainfalls would be helpful in Tuvalu as rainwater is the only source of fresh water in the country. The subsurface water is brackish and saline so the entire country depends totally on rainwater for daily domestic supplies, agricultural and farming activities. More importantly, these atolls are often influenced by droughts which consequently make inadequate drinking water an issue. A simple graph-based forecasting scheme is developed and presented in this thesis for forecasting below average mean rainfall in Funafuti over the next n-month per

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Vogel, Peter [Verfasser], and T. [Akademischer Betreuer] Gneiting. "Assessing Predictive Performance: From Precipitation Forecasts over the Tropics to Receiver Operating Characteristic Curves and Back / Peter Vogel ; Betreuer: T. Gneiting." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/1179964055/34.

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Frischbier, Nico. "Untersuchungen zur einzelbaumverursachten kleinräumigen Variabilität und regenhöhenbasierten Dynamik des Bestandesniederschlages am Beispiel zweier Buchen-Fichten-Mischbestände." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-94870.

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Trifft herabfallender Regen auf Waldflächen, so wird dieser Niederschlag umverteilt zu Interzeption, Stammabfluss, durchfallenden und abtropfenden Niederschlag. Besonders hohe Stammablaufmengen im Kronenzentrum und markante Abtropfstellen am Kronenrand einzelner Baumarten lassen sich zudem nur erklären, wenn am jeweiligen Messplatz unter Baumkronen eine weitere Niederschlagskomponente zugelassen wird, mit der laterale Wasserbewegungen innerhalb der expliziten Einzelbaumkrone beschrieben und bilanziert werden (lateraler [Zu- oder Ab-]Fluss). Ziel dieser Arbeit war es deshalb, der niederschlagsa

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47

Amey, Katherine Springer. "Hydrology And Predictive Model Of Headwater Streams And The Groundwater/Surface Water Interactions Supporting Brook Trout Habitat In Northeast Ohio." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1301618586.

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48

Luciani, Riccardo. "Study of Europe-ENSO teleconnection in an El Niño index phase analysis framework." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18807/.

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El Niño/Southern Oscillation (ENSO) is the most important coupled ocean-atmosphere phenomenon to cause global climate variability on seasonal to interannual time scales. Therefore understanding some of its most important features may help to shed light on the field of climate predictions. Here the focus is put on the seasonal precipitation patterns which respond to persistent thermal forcing happening thousands of kilometers far away. The first objective of this work is to look for and describe the correlation patterns between seasonal rainfall anomalies over Northern Italy and global season

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49

Chkir, Najiba. "Mise au point d'un modèle hydrologique conceptuel intégrant l'état hydrique du sol dans la modélisation pluie-débit." Phd thesis, Marne-la-vallée, ENPC, 1994. http://www.theses.fr/1994ENPC9410.

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L’importance de l’état initial des bassins versants, et surtout de l’état hydrique du sol, dans la formation des débits est reconnue depuis longtemps. La connaissance précise de cet état hydrique et de sa prise en compte dans la modélisation Pluie-Débit reste cependant un des problèmes actuels de l’hydrologie. Aux mesures « in situ », trop ponctuelles et difficilement généralisables, viennent s’ajouter de nouvelles techniques de télédétection pouvant fournir une information « tout temps » et spatialisée de l’état de surface des bassins versants. L’objectif de cette thèse est de mettre au point

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Crowell, Kevin L. "Precipitation prediction using artificial neural networks." 2008. http://purl.galileo.usg.edu/uga%5Fetd/crowell%5Fkevin%5Fl%5F200812%5Fms.

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