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 64 for “"Bias Correction"”.
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A variational approach to MR bias correction
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Bias correction of global circulation model outputs using artificial neural networks
… environmental management plans require unbiased climate datasets. This study develops a new bias correction approach using a three layer feedforward neural network to reduce the biases of climate variables (temperature and precipitation) over northern South America. Air and skin …
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Improving hydrometeorologic numerical weather prediction forecast value via bias correction and ensemble analysis
… recursive, and model output statistics bias-correction methods and determined optimal window-length to calibrate temperature and precipitation forecasts. The research evaluated seven different methods for daily maximum and minimum temperature forecasts, and three different methods for …
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Machine Learning for Bias Correction in Climate Models, with Application to Forecasting Heatwaves
… the limits of super-computing, introducing biases that diminish their accuracy. This thesis presents a novel machine-learning framework and model to correct these biases and provide more accurate climate statistics, focusing on heatwaves. Current correction models find it challenging to …
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Bias Correction and Downscaling of Climate Model Outputs Required for Impact Assessments of Climate Change in the U.S. Northeast
… uncertainties and involve a great deal of biases. Bias correction of model outputs is, therefore, necessary before their use in impact studies. The coarse resolution of GCM simulations is another hindrance to their direct use in fine-scale impact analysis of climate change. Although …
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Essays in Econometrics
… two chapters I consider the use of jackknife bias correction techniques to deal with the incidental parameters bias that arises from including fixed effect parameters in nonlinear models. The final chapter deals with the properties of common linear instrumental variables methods in the …
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An investigation of velocity bias with a three-component LDA in open channel flow
… system is used to investigate velocity bias. The data is collected in the viscous layer of a fully developed turbulent open water flow at a Reynolds number of 14,766 based on the flow depth. The data collected at a relatively low data rate is analyzed using different correction methods …
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Integrating urban heat island influences into statistically downscaled climate projections in the Truckee Meadows, Nevada
… were examined. Results indicated that a bias correction and constructed analogs method with an additional bias correction step that incorporates the maximum UHI signal (1970-2009) is vital in producing robust results that include UHI effects for future urban resource planning and …
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Examination of the behavior of modis-retrieved cloud droplet effective radius through misr-modis data fusion
… that deviations from these assumptions lead to bias in the retrieved Re. Recently, an effort to characterize the bias in MODIS-retrieved Re through MISR-MODIS data fusion revealed biases in the zonal-mean values of MODIS-retrieved Re that varied from 2 to 11 µm, depending on latitude [Liang et …
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High Resolution Wind Retrieval for SeaWinds on QuikSCAT
… σ-0 measurements and Kp, Retrieved wind bias correction, and ambiguity selection for high resolution winds. The high resolution winds produced by this algorithm are expected to become a useful resource for scientists and engineers studying the ocean winds. The high resolution wind …
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INCORPORATING CLIMATE CHANGE PROJECTIONS INTO RISK MEASURES OF INDEX-BASED INSURANCE
… to historical observed temperature data for bias and variance corrections. Adjusted future model projections are used to estimate distributions of cooling degree days for 2041-2070, which are then used to estimate risk measures for index-based insurance products defined for cooling degree day …
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Desempenho, limitações e aprimoramento das estimativas de precipitação do IMERG sobre o Nordeste brasileiro: aplicações na Bacia do Parnaíba
… regime in the basin and sought to apply robust bias correction techniques to the estimates. Initially, IMERG V06 was analyzed by comparison with rain gauge data, using various statistical metrics and focusing on eight extreme precipitation indices. The results indicated satisfactory performance …
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Development of grassland modelling techniques with weather forecasts
… weather forecasts is assessed and improved using bias correction methods at twenty-five Irish locations for weather variables that influence grass growth. For the first time, soil temperature observations measured at six depths are verified and bias corrected. Next, the weather forecasts are …
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Potential impacts of climate change on hydrological droughts in the Limpopo river basin
… the Nash-Sutcliffe efficiency (NSE), Percent Bias (PBIAS), Root Mean Square Error (RMSE), and coefficient of determination (R2 ). The study also examines the capability of the CORDEX SWAT+ system in reproducing the hydro-climatology and the influence of the quantile delta mapping (QDM) method …
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Developing a Multi-Band GNSS Remote Sensing Station To Measure Precipitable Water Vapor for Flash Flood Nowcasting
… remaining work in clock stabilization and bias correction.</p>
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Guidelines for the interpretation of NCDIF as an effect size measure
… rules for NCDIF and identify an approximate bias correction for this estimator. Overall, these results provide useful guidelines for interpreting the magnitude of NCDIF that are consistent with its specific nature and improve the alignment of DIF classifications with the magnitude of the …
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Correlation-based Linking of Epigenomic Regions to Target Genes in Bulk and Single Cell Epigenomic Data
… This approach provides a robust framework for bias correction and noise reduction at single-cell resolution. Our research introduces a novel algorithm that employs peak-gene linking to integrate epigenomic data, thereby translating it into transcriptomic data. This integration facilitates …
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Data-driven Algorithms for Critical Detection Problems: From Healthcare to Cybersecurity Defenses
… and propose a Double Prioritized (DP) bias correction method that significantly improves the model performance for underrepresented groups and reduces biases. Cyber threats, such as ransomware and advanced persistent threats (APTs), have presented growing threats in recent years. …
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Electronic scan weather radar: scan strategy and signal processing for volume targets
… and vertical polarizations that produce the bias in the polarimetric variables retrieval. Methods for bias correction for simultaneous and alternating transmission modes are proposed. It is shown that the bias can be effectively removed; however, data quality degradation occurs at far off …
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Potential impacts of climate change on hydrological extremes in the Incomati River Basin
… the climate forcing data. The CORDEX dataset was biased-corrected with GMFD, using the Quantile Delta Mapping (QDM) method. The SWAT+ was calibrated and evaluated over the basin to investigate the role of objective functions in SWAT+ calibration, four sensitivity experiments were performed using …
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