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Climate Model Evaluation in the Presence of Observational ...


Climate Model Evaluation in the Presence of Observational ...

Abstract Climate model evaluation is complicated by the presence of observational uncertainty. In this study we analyze daily precipitation ...

Climate Model Evaluation in the Presence of Observational ...

Climate model evaluation is complicated by the presence of observational uncertainty. In this study we analyze daily precipitation indices and compare ...

Climate Model Evaluation in the Presence of Observational ...

Abstract Climate model evaluation is complicated by the presence of observational uncertainty. In this study we analyze daily precipitation indices and ...

[PDF] Climate Model Evaluation in the Presence of Observational ...

Climate model evaluation is complicated by the presence of observational uncertainty. In this study we analyze daily precipitation indices and compare ...

Climate model evaluation in the presence of observational ...

Climate model evaluation is complicated by the presence of observational uncertainty. In this study we analyze daily precipitation indices and compare ...

Climate Model Evaluation in the Presence of Observational ...

Climate Model Evaluation in the Presence of Observational Uncertainty: Precipitation Indices over the Contiguous United States. Peter B. Gibson, Duane E ...

Climate model evaluation in the presence of observational ...

Dive into the research topics of 'Climate model evaluation in the presence of observational uncertainty: Precipitation indices over the contiguous United States ...

Understanding and assessing uncertainty of observational climate ...

Finally, we discuss the use of dataset ensembles in climate model evaluation. We argue that a more systematic understanding and assessment of ...

(PDF) On the observational assessment of climate model performance

Comparison of model outputs with observations of the climate system forms an essential component of model assessment and is crucial for ...

Observational uncertainty and regional climate model evaluation

Local and regional climate change assessments based on downscaling methods crucially depend on the existence of accurate and reliable observational ...

Climate Models and Their Evaluation - IPCC

the observational constraints used in model evaluation. This is believed to be true for most GCMs – for example, climate models are not explicitly tuned to ...

Assessing observational constraints on future European climate in ...

Observations are increasingly used to constrain multi-model projections for future climate assessments ... presence of internal climate ...

Evaluating the Performance of Past Climate Model Projections

The observational temperature records used do not present a completely like‐to‐like comparison with models, as models provide surface air temperature (SAT) ...

Evaluation of Climate Models - IPCC

tion, owing to observational uncertainties and the presence of internal ... Table 9.3 | Overview of observations that are used to evaluate climate models in this ...

Toward Consistent Observational Constraints in Climate Predictions ...

Observations facilitate model evaluation and provide constraints that are relevant to future predictions and projections. Constraints for uninitialized ...

On the importance of observational data properties when assessing ...

A common step in these studies involves the assessment of the climate model performance. ... This is often measured by comparing climate model output with ...

Linking Observations and Models to Understand and ... - YouTube

NOAA Central Library Seminars Presenter: Ryan Kramer, OAR/GFDL, Physical Scientist Abstract: Although both invaluable tools, climate models ...

Importance of internal variability for climate model assessment

Benchmarking climate model simulations against observations of the climate is core to the process of building realistic climate models and ...

Comparison of Climate Model Large Ensembles With Observations ...

Evaluating historical simulations from global climate models (GCMs) remains an important exercise for better understanding future ...

Exploiting large ensembles for a better yet simpler climate model ...

This evaluation framework allows us to directly attribute discrepancies between models and observations to biases in the simulated internal ...