Sentences with phrase «common model biases»

FMI has been involved in research project, which evaluated the simulations of long - range transport of BB aerosol by the Goddard Earth Observing System (GEOS - 5) and four other global aerosol models over the complete South African - Atlantic region using Cloud - Aerosol Lidar with Orthogonal Polarization (CALIOP) observations to find any distinguishing or common model biases.

Not exact matches

Thus, the agreement between the new semi-empirical model and the physical models could be taken as suggesting that both share a common historical bias.

Though ancestral Boule may have also functioned in oogenesis, our findings that bilaterian Boule homologs tend toward male - biased expression, taken together with the similar spermatogenesis arrest phenotypes in both Drosophila and mouse mutants, supports the model of a common origin of bilaterian spermatogenesis.

«By comparing the response of clouds and water vapor to ENSO forcing in nature with that in AMIP simulations by some leading climate models, an earlier evaluation of tropical cloud and water vapor feedbacks has revealed two common biases in the models: (1) an underestimate of the strength of the negative cloud albedo feedback and (2) an overestimate of the positive feedback from the greenhouse effect of water vapor.

Crichton seems unaware that the discussion of climate model validation is a common feature of publications utilizing these models and model errors and biases are often explicitly quantified and described.

I have been worrying that even common properties of all present climate models and models than can be developed in near future may common bias towards such stability that is not necessarily true for the real Earth system.

This indicates possible common errors among GCMs although we can not exclude the possibility that the discrepancy between models and observations is partly caused by biases in satellite data.

Unless these nine models share common systematic biases, it is thus expected that the average 2014 September Arctic sea ice extent will be in the range 3.95 - 5.6 million km ², and likely above the trend line (5.1 million km ²), a situation similar to 2013.

Po Chedley say: «The apparent model - observational difference for tropical upper tropospheric warming represents an important problem, but it is not clear whether the difference is a result of common biases in GCMs, biases in observational datasets, or both.»

Because poor simulation of meteorological variables is common in climate models, a determination that meteorological variability is more important for certain variables than leaf variability may point to meteorological bias correction as a more fruitful development path — for certain model applications — than the development of a dynamic phenological routine.

• These results could arise due to errors common to all models; to significant non-climatic influences remaining within some or all of the observational data sets, leading to biased long - term trend estimates; or a combination of these factors.

A common misconception is that climate models are biased towards exaggerating the effects from CO2.