Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"Numerical weather prediction (NWP)"”.
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Passive millimeter-wave retrieval of global precipitation utilizing satellites and a numerical weather prediction model
… 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 global precipitation ground-truth for evaluating alternative …
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Impacts of Land-Atmosphere Interactions on Regional Convection and Rainfall
High resolution (1-10 km) numerical weather prediction (NWP) models face major challenges trying to improve representation of moist processes. In particular, simulating the interaction between the land surface and regional convection and rainfall is a source of uncertainties and presents three main …
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Forecasting wind power for the day-ahead market using numerical weather prediction models and computational intelligence techniques
… forecasting tools use a combination of Numerical Weather Prediction (NWP) forecasts and observations to estimate the power output of a single wind turbine or a whole wind farm. Although NWP systems can model meteorological processes that are related to large changes in wind power, these …
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Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs
… 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 in this area. Investigative studies were performed to quantify the value …
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Characterizing the Influence of Turbulence Intensity on Energy Production at the Vineyard Wind 1 Farm
… energy production (AEP) of a wind farm. In numerical models used to calculate farm power, turbulence intensity is treated as a constant input, though it has variability in the physical atmosphere. Wind conditions, such as turbulence intensity, can be modeled with numerical weather prediction …
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Probabilistic state estimation in regimes of nonlinear error growth
… as it is often called, is a key component of numerical weather prediction (NWP). Nearly all implementable methods of state estimation suitable for NWP are forced to assume that errors remain in regimes of linear error growth and retain distributions of Gaussian uncertainty, yet nonlinear …
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The assimilation of surface observations in the European Alpine region
… testing and refinement of an operational Numerical Weather Prediction (NWP) routine based on the Weather Research and Forecasting (WRF) model for a domain encompassing the European Alps. Surface observations from official observational networks and privately owned Automatic Weather …
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Data Assimilation and Applications in Forecasting
… for multiple scales if required. We present numerical experiments using this localization method using both simplified examples in which the correct covariance matrix is known and cycling experiments with the Lorenz Model III. The second project explores an application of the EnKF. We use the …
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Multivariate Correlations: Balance Operators and Variable Localization in Ensemble Data Assimilation
… This method is frequently necessary within numerical weather prediction (NWP) applications due to the computational constraints present, limiting the number of ensemble members to a size much smaller than the dimension of the system. The most common form of localization occurs in the spatial …
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Assimilation of Meteosat Second Generation (MSG) satellite data in a regional numerical weather prediction model using a one-dimensional variational approach
… designed for high resolution regional scale numerical weather prediction (NWP) models. The non-hydrostatic forecast model COSMO (COnsortium for Small scale MOdelling) in the ARPA-SIM operational configuration is used to provide background fields. Only clear sky observations over sea are …
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Strongly Stable and Accurate Numerical Integration Schemes for Nonlinear Systems in Atmospheric Models
… parameterizations is a well-known concern in numerical weather prediction (NWP) models. Nonlinear diffusion equations, furthermore, are a class of equations which are extensively applicable in different fields of science and engineering. Numerical stability and accuracy is a common concern in …
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Advances in statistical post-processing of weather forecasts, probabilistic forecasting, and modelling of extreme events
Accurate weather forecasts are crucial for a variety of applications. These forecasts are usually generated by ensembles of numerical weather prediction (NWP) models, which give a probabilistic estimate of future weather. However, these ensembles might have biases and errors in dispersion, thus …
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Land-atmosphere Exchange and Air Quality during Stable Atmospheric Boundary Layer Events
… have been notoriously difficult to capture using numerical weather prediction (NWP) models. The land-atmosphere exchange processes control the energy exchange at the interface of the surface and atmosphere, which impacts the ABL development. Thus, well-represented land-atmosphere exchange in …
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Towards machine learning for the weather: developing methods using simplified dynamical systems
… one of the most important modelling exercises. Weather forecasting is a major enterprise within this. Recently, there has been a push to use machine learning (ML) here, given ML's ability to learn relationships which are too complex for humans to specify. This thesis presents work towards …
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On the Improvements of Boundary-Layer Representation for High Resolution Weather Forecasting in Costal-Urban Environments
… systems have improved forecasting near-surface weather conditions, a comprehensive approach to represent urban impacts on the PBL is still limited. Improved PBL representation can lead to better weather and climate forecasts, benefitting human health, risk reduction from extreme weather events, …
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Three-dimensional water vapor retrieval using a network of scanning compact microwave radiometers
… be used for assimilation into and validation of numerical weather prediction (NWP) models. Currently, water vapor density profiles are obtained using in-situ sensors on radiosondes and remotely using lidars, GPS ground-based networks, CPS radio occultation from satellites and a relatively small …
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GREMLIN: GOES radar estimation via machine learning to inform NWP
… has been a key element of U.S. operational weather forecasting since 1975. The latest generation, the GOES-R Series, offers new capabilities to support the need for high-resolution rapidly refreshing imagery for situational awareness. Despite the well demonstrated value to human forecasters, …
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Machine Learning for Improvement of Ocean Data Resolution for Weather Forecasting and Climatological Research
Severe weather events like hurricanes and tornadoes pose major risks globally, underscoring the critical need for accurate forecasts to mitigate impacts. While advanced computational capabilities and climate models have improved predictions, lack of high-resolution initial conditions still limits …
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Satellite-based Analysis and Forecast Evaluation of Aviation Contrails
… avoidance. With recent studies indicating that numerical weather prediction models have limited ability to predict ice supersaturation, there is a pressing need for further evaluation of the capability of models to predict contrail persistence as well as their improvement. Despite efforts made …
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Characterization and modeling of aerosol-cloud interactions toward the improvement of rainfall estimation in high mountains
… by using different models to simulate different weather regimes to elucidate the role of different microphysics and dynamic processes. Observations needed to validate the models are lacking in the Andes but available in the Southern Appalachian Mountains (SAM). So, the modeling part of this work …
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