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Full-Text Articles in Physical Sciences and Mathematics
Climate Change In The Northeastern Us: Regional Climate Model Validation And Climate Change Projections, Fangxing Fan, Raymond S. Bradley, Michael A. Rawlins
Climate Change In The Northeastern Us: Regional Climate Model Validation And Climate Change Projections, Fangxing Fan, Raymond S. Bradley, Michael A. Rawlins
Raymond S Bradley
A high resolution regional climate model (RCM) is used to simulate climate of the recent past and to project future climate change across the northeastern US. Different types of uncertainties in climate simulations are examined by driving the RCM with different boundary data, applying different emissions scenarios, and running an ensemble of simulations with different initial conditions. Empirical orthogonal functions analysis and K-means clustering analysis are applied to divide the northeastern US region into four climatologically different zones based on the surface air temperature (SAT) and precipitation variability. The RCM simulations tend to overestimate SAT, especially over the northern part …
Climate Change In Central America And Mexico: Regional Climate Model Validation And Climate Change Projections, Ambarish V. Karmalkar, Raymond S. Bradley, Henry F. Diaz
Climate Change In Central America And Mexico: Regional Climate Model Validation And Climate Change Projections, Ambarish V. Karmalkar, Raymond S. Bradley, Henry F. Diaz
Raymond S Bradley
Central America has high biodiversity, it harbors high-value ecosystems and it’s important to provide regional climate change information to assist in adaptation and mitigation work in the region. Here we study climate change projections for Central America and Mexico using a regional climate model. The model evaluation shows its success in simulating spatial and temporal variability of temperature and precipitation and also in capturing regional climate features such as the bimodal annual cycle of precipitation and the Caribbean low-level jet. A variety of climate regimes within the model domain are also better identified in the regional model simulation due to …