Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Algorithms (1)
- Atmospheric Attenuation (1)
- Code (1)
- Computer software; Interdisciplinary research; Mathematical models; Software compatibility (1)
- Doppler radar (1)
-
- Fire Radiative Power (1)
- Fire Weather (1)
- Injection Heights (1)
- MODIS (1)
- Meteorological stations (1)
- Meteorology (1)
- North America (1)
- Radar meteorology (1)
- Radiative Transfer (1)
- Rain and rainfall (1)
- Satellite (1)
- Smoke (1)
- Storm data (1)
- Sub-Pixel (1)
- UAV (1)
- Weather (1)
- Weather observations (1)
- Weather radar networks (1)
- Wildfire (1)
- Publication
-
- 2010 Annual Nevada NSF EPSCoR Climate Change Conference (1)
- Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research (1)
- Electrical & Computer Engineering Theses & Dissertations (1)
- Faculty Publications (1)
- Journal of Undergraduate Research at Minnesota State University, Mankato (1)
- Publication Type
Articles 1 - 5 of 5
Full-Text Articles in Meteorology
Effect Of Trigonometric Transformations On The Machine Learning Prediction And Quality Control Of Air Temperature, Andrea Fenoglio [*], Torrey J. Wagner, Paul Auclair, Brent T. Langhals
Effect Of Trigonometric Transformations On The Machine Learning Prediction And Quality Control Of Air Temperature, Andrea Fenoglio [*], Torrey J. Wagner, Paul Auclair, Brent T. Langhals
Faculty Publications
Conducting effective quality control of weather observations in real time is vital to the 14th Weather Squadron’s mission of providing authoritative climate data. This study explored automated quality control of weather observations by applying multiple machine learning techniques to 43,487 surface weather observations from 5 years of data at a single location. Temperature predictors were evaluated using recursive feature elimination on linear regression and XGBoost algorithms, as well as using a neural network hyperparameter sweep. Modeling was repeated after calculating trigonometric transforms of temporal variables to give the models insight into the diurnal heating cycle of the Earth. All models …
Improved Storm Data Processing Through Parallel Computing Approaches, Shauna Smith
Improved Storm Data Processing Through Parallel Computing Approaches, Shauna Smith
Journal of Undergraduate Research at Minnesota State University, Mankato
A previous research study conducted at Michigan Technological University by Dr. Deborah Nykanen and her colleague Dr. Daniel Harris analyzed storm data in order to develop algorithms that will allow coarse resolution rainfall forecasted by weather models to be optimally used in high resolution hydrology models with the goal of improving stream flow predictions and early detection algorithms that can be used to warn communities about potential flash floods. This research was performed by analyzing a series of independent radar images derived from Weather Surveillance Radar-1988 Doppler (WSR-88D) data obtained from Dr. James A. Smith at Princeton University using a …
Retrieval Of Sub-Pixel-Based Fire Intensity And Its Application For Characterizing Smoke Injection Heights And Fire Weather In North America, David Peterson
Retrieval Of Sub-Pixel-Based Fire Intensity And Its Application For Characterizing Smoke Injection Heights And Fire Weather In North America, David Peterson
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
For over two decades, satellite sensors have provided the locations of global fire activity with ever-increasing accuracy. However, the ability to measure fire intensity, know as fire radiative power (FRP), and its potential relationships to meteorology and smoke plume injection heights, are currently limited by the pixel resolution. This dissertation describes the development of a new, sub-pixel-based FRP calculation (FRPf) for fire pixels detected by the MODerate Resolution Imaging Spectroradiometer (MODIS) fire detection algorithm (Collection 5), which is subsequently applied to several large wildfire events in North America. The methodology inherits an earlier bi-spectral algorithm for retrieving sub-pixel …
A Differential Absorption Model For Remote Sensing Of Atmospheric Pressure, Shivam J. Shah
A Differential Absorption Model For Remote Sensing Of Atmospheric Pressure, Shivam J. Shah
Electrical & Computer Engineering Theses & Dissertations
The goal of the project is to develop and test a "model based" radar processing strategy that is compatible with the concept of a "cognitive radar". The basic approach will be to develop a cognitive radar algorithm (genetic algorithm) based on the capabilities of an existing commercially available Software Radio. While the focus of this effort is the development of a candidate approach for genetic algorithm, the longer term goal would be to implement the approach using this software radio technology to provide a low cost radar processor. The proposed technology would use differential absorption radar working at the 50-56 …
Design Of A Software Framework Prototype For Scientific Model Interoperability, Eric Fritzinger, Sohei Okamoto
Design Of A Software Framework Prototype For Scientific Model Interoperability, Eric Fritzinger, Sohei Okamoto
2010 Annual Nevada NSF EPSCoR Climate Change Conference
19 PowerPoint slides Session 2: Infrastructure Convener: Sergiu Dascalu, UNR Abstract: -What are models? -Mathematical models used to describe a system -E.g. Atmospheric, Oceanic, Ecological, etc… -Algorithmic calculations which take input and produce estimated results -Weather forecasting, global warming predictions, sea level estimations, etc… -Models are invaluable