70 citations · 97 across the 5 of their papers we have counts for
5 papers
Towards reliable projections of global mean surface temperature
Philip G. Sansom, Donald Cummins, Stephan Siegert +1
Quantifying the risk of global warming exceeding critical targets such as 2.0 K requires reliable projections of uncertainty as well as best estimates of Global Mean Surface Temper…
How are emergent constraints quantifying uncertainty and what do they leave behind?
Daniel B. Williamson, Philip G. Sansom
The use of emergent constraints to quantify uncertainty for key policy relevant quantities such as Equilibrium Climate Sensitivity (ECS) has become increasingly widespread in recen…
State-space modeling of intra-seasonal persistence in daily climate indices: a data-driven approach for seasonal forecasting
Philip G. Sansom, David B. Stephenson, Daniel B. Williamson
Existing methods for diagnosing predictability in climate indices often make a number of unjustified assumptions about the climate system that can lead to misleading conclusions. W…
On constraining projections of future climate using observations and simulations from multiple climate models
Philip G. Sansom, David B. Stephenson, Thomas J. Bracegirdle
Numerical climate models are used to project future climate change due to both anthropogenic and natural causes. Differences between projections from different climate models are a…
A Bayesian framework for verification and recalibration of ensemble forecasts: How uncertain is NAO predictability?
Stefan Siegert, David B. Stephenson, Philip G. Sansom +3
Predictability estimates of ensemble prediction systems are uncertain due to limited numbers of past forecasts and observations. To account for such uncertainty, this paper propose…