Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
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Updated
May 26, 2022 - R
Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
Given a global mean temperature pathway, generate random global climate fields consistent with it and with spatial and temporal correlation derived from an ESM
Weather Generators with Bayesian Networks
Numerical Computational Research (2009–2014): Developed and validated a comprehensive suite of prediction and statistical downscaling methods for short- and long-term projections of climate, water resources, and their associated impacts.
Ease the use of the climate4r package to downscale TraCE21ka and CMIP5 climate data in combination with UERRA reanalysis data.
A high resolution tool for snow cover reconstruction studies
Scripts that I've used during grad school for data collection, analysis, visualization, cleaning, wrangling, etc., for classes, project reports, and manuscripts.
🌍 Implement climate prediction models to transform global data into localized forecasts for effective water resource management and impact assessment.
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