Research Interests:
Econometrics, time series, long memory, statistical learning, and climate econometrics.
Website: everval.github.io
#ClimateAction #ParisAgreement
#ClimateAction #ParisAgreement
– Downloads temperature anomaly datasets from the most used sources (HadCRUT, GISTEMP, NOAAGlobalTemp and Berkeley Earth)
– Adjusts them to a preindustrial baseline (1850–1900) as suggested by the Paris Agreement
– Outputs harmonised CSVs and plots
– Downloads temperature anomaly datasets from the most used sources (HadCRUT, GISTEMP, NOAAGlobalTemp and Berkeley Earth)
– Adjusts them to a preindustrial baseline (1850–1900) as suggested by the Paris Agreement
– Outputs harmonised CSVs and plots
I’ve just updated the dashboard that estimates the monthly probabilities of breaching the climate goals set by the Paris Agreement to include the latest available data.
In addition, the code has now been improved to automatically fetch new data.
I’ve just updated the dashboard that estimates the monthly probabilities of breaching the climate goals set by the Paris Agreement to include the latest available data.
In addition, the code has now been improved to automatically fetch new data.
Climate change communication is crucial to raising awareness and motivating action. In the context of breaching the limits set out by the Paris Agreement, we argue that climate scientists should move away from point estimates and towards reporting probabilities.
Climate change communication is crucial to raising awareness and motivating action. In the context of breaching the limits set out by the Paris Agreement, we argue that climate scientists should move away from point estimates and towards reporting probabilities.