- Global Climate Models and Their Limitations🔍
- Uncertainty in regional climate modelling🔍
- Uncertainty Analysis of Monthly Precipitation in GCMs Using ...🔍
- An Uncertainty|Based Regional Comparative Analysis on the ...🔍
- The large influence of climate model bias on terrestrial carbon cycle ...🔍
- Climate Models and Their Evaluation🔍
- Modeling Uncertainty in Integrated Assessment of Climate Change🔍
- Identifying and removing structural biases in climate models with ...🔍
Evaluating the uncertainty of climate model structure and bias ...
Global Climate Models and Their Limitations
structural uncertainties, such as “uncertainties in aerosol sources ... The analysis indicated “a systematic narrow bias in ENSO meridional width ...
Uncertainty in regional climate modelling: A review - A.M. Foley, 2010
However, in order to make informed adaptation decisions, the uncertainties associated with their output must be recognized and taken into account. In this paper ...
Q&A: How do climate models work? - Carbon Brief
Parameterisations are one of the main sources of uncertainty in climate models. ... bias correction” to climate model output. Prof Ed Hawkins, ...
Uncertainty Analysis of Monthly Precipitation in GCMs Using ... - MDPI
The use of GCMs for future climate projections is subject to some uncertainties arising from distinct sources such as different emission/concentration scenarios ...
An Uncertainty-Based Regional Comparative Analysis on the ...
This research proposes a novel framework to assess the parametric uncertainty of downscaling model, and used this framework to assess the performance of ...
The large influence of climate model bias on terrestrial carbon cycle ...
We conclude that climate bias-induced uncertainties must be decreased to make accurate coupled atmosphere-carbon cycle projections. Export citation and abstract ...
tropopause temperature bias on the model's response to radiative forcing ... simple climate model will be affected by the model structure, although ...
Modeling Uncertainty in Integrated Assessment of Climate Change
They also reveal that the parametric uncertainty based on the three parameters appears to be more important than structural uncertainty in the models examined, ...
Identifying and removing structural biases in climate models with ...
and the resulting model climate is evaluated. ... Large values of 그(x0) at any x0 imply that, relative to our uncertainty, the predicted output ...
Climate change uncertainty evaluation, impacts modelling ... - ERA
Results gained showed that the HadRM3 Regional Climate Model was capable of making both good and poor estimates of weather variables in the UK, and that ...
Evaluating the Time-Invariance Hypothesis of Climate Model Bias ...
variant, the bias correction modifies the structure of the bias ... model complexity and uncertainty in climate change impact assess- ment.
Evaluating the performance of climate models in reproducing the ...
The results show that rainfall and extreme hydrological event projections could significantly vary depending on climate model selection and weather stations, ...
Striking stationarity of large-scale climate model bias patterns under ...
Because all climate models exhibit biases, their use for assessing future climate change requires implicitly assuming or explicitly postulating ...
Understanding uncertainty in climate models - YouTube
Robustness of the atmospheric circulation response to climate change: In this Grantham Special Lecture, Professor Ted Shepherd, ...
Do not use the observed data to evaluate climate model performance or bias correction methods. Unzip the example dataset to a location on your hard drive ...
A comparison of different approaches to climate model evaluation
For those grid points, the biases are larger than one would expect given the internal variability of the models and their structural differences ...
Uncertainty in Future Projections, and Approaches for Representing ...
Limits to scientific understanding of natural variability, structural and parametric uncertainty in scientific modeling, climate sensitivity, bias correction, ...
Toward reduction of the uncertainties in climate sensitivity due to ...
In estimates of climate sensitivity obtained from global models, the need to represent clouds introduces a great deal of uncertainty.
Including Parameter Uncertainty in an Intercomparison of ... - Frontiers
3.2 Evaluating Calibrated Model Structures at the Point Scale. We proved that all considered model structures can reach very high model skills via parameter ...
Diagnosing the Causes of Bias in Climate Models: Why is it so Hard?
The issue of uncertainty was put into sharp focus by analysis ... We will refer to a bias resulting from such a structural uncertainty as a 'bias ...