Identifying and removing structural biases in climate models with ...

Abstract. We describe the method of history matching, a method currently used to help quantify parametric uncertainty in climate models, and ...

We illustrate the method using an investigation of the potential to improve upon known ocean circulation biases in a coupled non-flux-adjusted climate model ( ...

Identifying and removing structural biases in climate models ... - OUCI

Identifying and removing structural biases in climate models with history matching · List of references · Publications that cite this publication.

Identifying climate model structural inconsistencies allows for tight ...

We therefore refer to such biases as poten- tial structural inadequacies and remove the associated con- straint variables from our process.

An evaluation framework for downscaling and bias correction in ...

A range of downscaling and bias correction methods have been developed to increase the spatial resolution and remove systematic biases in climate model outputs ...

Climate Change Impact Studies: Should We Bias ... - AGU Journals

Another possible approach is to forgo the bias correction of climate model outputs, and instead, post-process the outputs of the impact model.

Evaluation of Climate Models - IPCC

Sokolov et al., 2010) would remove such biases. In idealized CMIP5 ... This tendency is opposed by the effects of structural biases related to ...

Evaluating the uncertainty of climate model structure and bias ...

We evaluate the combined effect of multiple global and regional climate model (GCM-RCM) combinations and bias correction (BC) methods on the hydrological ...

Correcting a bias in a climate model with an augmented emulator

Williamson, D., Blaker, A. T., Hampton, C., and Salter, J.: Identifying and removing structural biases in climate models with history matching,. 25. Climate ...

Assessing the impact of bias correction approaches on climate ...

Results show that all bias-correction methods are effective at removing systematic model biases, however the results are variable and season- ...

Understanding and Reducing Warm and Dry Summer Biases in the ...

To identify the underlying mechanisms, we developed a physically based analytical bias model (ABM) to capture the key feedback processes of land–atmosphere ...

(PDF) Reducing climate model biases by exploring parameter space ...

The refinement process includes sensitivity analyses to identify the most influential parameters for various model output metrics; results are ...

A Systematic Approach to Assessing the Sources and Global ...

Abstract We outline a framework for identifying the geographical sources of biases in climate models. By forcing the model with time-averaged short-term ...

Correcting systematic bias in derived hydrologic simulations

For example, climate models often simulate excessive rainy days, creating a drizzle effect. Similarly, systematic errors are present in the ...

Identifying climate models based on their daily output using machine ...

The high northern latitudes are briefly discussed here as one example for such a case with the clear climatological cold bias in the multi-model ...

Critical Southern Ocean climate model biases traced to atmospheric ...

In this general case model, the SST bias in any coupled model at any location depends on the sum of the local stand-alone atmospheric model ...

Reducing climate model biases by exploring parameter space with ...

The refinement process includes sensitivity analyses to identify the most influential parameters for various model output metrics; results are then used to cull ...

Climate model forecast biases assessed with a perturbed physics ...

Drifts in the initialised forecasts are then used to recover the 'equivalent parameter perturbations', which allow identification of the ...

Structural biases affecting the AMOC? - US CLIVAR

When quantifying the uncertainty in model based projections of the. AMOC or any climate process it is important to identify and quantify the.

2.3 Climate Model Uncertainty — UTCDW Guidebook

In other words, there is no “correct” set of boundary conditions to give to a climate model to do projections of future climate. Instead, we can study a range ...