Effects of time averaging on noise floor in distortion product otoacoustic emissions

This paper examines distortion product otoacoustic emissions (DPOAEs) used to test peripheral auditory function, and how noise level in the ear affects the detectability of DPOAEs. The study examines the clinical feasibility of different time averages at different frequencies on the noise floor.

Measurement of distortion product emissions in chinchilllas

This paper is a review of a study on distortion product emissions in normal hearing chinchillas.

Spontaneous otoacoustic emissions in a chinchilla: audiometric correlates as seen in audiogram microstructure

This paper reviews a study to evaluate the audiogram microstructure of a chinchilla with a documented spontaneous otoacoustic emission.

Changes in distortion-product otoacoustic emissions in chinchilla after intermittent noise exposure

This paper discusses the distortion-product otoacoustic emissions (DPOAE) of chinchillas when exposed to noise.

Distortion product otoacoustic emissions in the bullfrog

Recovery of distortion product otoacoustic emissions in the bullfrog after noise exposure does not correlate with hair cell damage noted on the amphibian papilla.

A note on atmospheric predictability

Using the method of Lorenz (1982), we have estimated the predictability of a recent version of the European Center for Medium-Range Weather Forecasting (ECMWF) model using two different estimates of the initial error corresponding to 6- and 24-hr forecast errors, respectively. For a 6-hr forecast error of the extratropical 500-hPa geopotential height field, a potential increase in forecast skill by more than 3 d is suggested, indicating a further increase in predictability by another 1.5 d compared to the use of a 24-hr forecast error. This is due to a smaller initial error and to an initial error reduction resulting in a smaller averaged growth rate for the whole 7-d forecast. A similar assessment for the tropics using the wind vector fields at 850 and 250 hPa suggests a huge potential improvement with a 7-d forecast providing the same skill as a 1-d forecast now. A contributing factor to the increase in the estimate of predictability is the apparent slow increase of error during the early part of the forecast.