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Comparative Analysis of the Local Observation-Based (LOB) Method and the Nonparametric Regression-Based Method for Gridded Bias Correction in Mesoscale Weather Forecasting

Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 006:;page 1243

Author(s): Gel, Yulia R.

Publisher: American Meteorological Society

Abstract: The comparative analysis of three methods for objective grid-based bias removal in mesoscale numerical weather prediction models is considered. The first technique is the local observation-based (LOB) method that extends ...

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Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001

Author(s): Zhen, Zhiwei; Lee, Huikyo; Segovia-Dominguez, Ignacio; Huang, Meichen; Chen, Yuzhou; Garay, Michael; Crichton, Daniel; Gel, Yulia R.

Publisher: American Meteorological Society

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Comparative Analysis of the Local Observation-Based (LOB) Method and the Nonparametric Regression-Based Method for Gridded Bias Correction in Mesoscale Weather Forecasting

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data

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Comparative Analysis of the Local Observation-Based (LOB) Method and the Nonparametric Regression-Based Method for Gridded Bias Correction in Mesoscale Weather Forecasting

Environmental Justice and Lessons Learned from COVID-19 Outcomes—Uncovering Hidden Patterns with Geometric Deep Learning and New NASA Satellite Data