A Poisson regression was constructed using observed heat events in GRCA from 2004–2009. Represented here is the daily average per each year of both the modeled (black line) and each year’s daily average observed events (purple points) and its 95% confidence interval (purple error bars). Additionally, the regression model was applied to 14 global climate models and projected heat events are shown in blue (RCP 4.5) and red (RCP 8.5) for each model with the 10th and 90th percentile of the ensemble marked with a dotted line.</p
<p>The time series spans from 1901 to 2005. The thick lines are the results of 26 individual models ...
Summary: Estimating the risks heat waves pose to human health is a critical part of assessing the fu...
<p><strong>Figure 4.</strong> Percentage of global land area during boreal summers with monthly temp...
Projected increase in mean weekly heat related illness events per 100,000 visitors to Grand Canyon N...
Figure of recorded heat events (black) and predicted heat events (red line) at Grand Canyon National...
Data type, purpose, and source used in a predictive model of heat illness risk in visitors to Grand ...
<p>Poisson regression models depicting the effect of climatic variables on admission rates for ST-el...
<p>Variables modelled include: average speed in the upper row (red line), average local rainfall in ...
Climate change is a result of a complex system of interactions of greenhouse gases (GHG), the ocean,...
A joint model is proposed for analyzing and predicting the occurrence of extreme heat events in two ...
December 2013 was the 346th consecutive month where global land and ocean average surface temperatur...
<p>The full model is derived from multiple Poisson regression, with county and year as the panel lev...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
This report considers an inductive, Data-Based Mechanistic (DBM) approach to modelling the dynamic r...
AbstractDecember 2013 was the 346th consecutive month where global land and ocean average surface te...
<p>The time series spans from 1901 to 2005. The thick lines are the results of 26 individual models ...
Summary: Estimating the risks heat waves pose to human health is a critical part of assessing the fu...
<p><strong>Figure 4.</strong> Percentage of global land area during boreal summers with monthly temp...
Projected increase in mean weekly heat related illness events per 100,000 visitors to Grand Canyon N...
Figure of recorded heat events (black) and predicted heat events (red line) at Grand Canyon National...
Data type, purpose, and source used in a predictive model of heat illness risk in visitors to Grand ...
<p>Poisson regression models depicting the effect of climatic variables on admission rates for ST-el...
<p>Variables modelled include: average speed in the upper row (red line), average local rainfall in ...
Climate change is a result of a complex system of interactions of greenhouse gases (GHG), the ocean,...
A joint model is proposed for analyzing and predicting the occurrence of extreme heat events in two ...
December 2013 was the 346th consecutive month where global land and ocean average surface temperatur...
<p>The full model is derived from multiple Poisson regression, with county and year as the panel lev...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
This report considers an inductive, Data-Based Mechanistic (DBM) approach to modelling the dynamic r...
AbstractDecember 2013 was the 346th consecutive month where global land and ocean average surface te...
<p>The time series spans from 1901 to 2005. The thick lines are the results of 26 individual models ...
Summary: Estimating the risks heat waves pose to human health is a critical part of assessing the fu...
<p><strong>Figure 4.</strong> Percentage of global land area during boreal summers with monthly temp...