Sentences with phrase «bias correction on»

In next steps we will compare results at a coarser scale (e.g. 5 °) to reduce the inuence of bias correction on results and also separate into small and large scale explicitly as in Di Luca et al. (2013).

Not exact matches

«Organizations like the New York State Correction Association, who advocate solely on inmates» behalf, continue to conduct biased research based on interviews with convicted felons whose credibility certainly can be questioned,» Miller said.

The investigator, Florence L. Finkle, is leaving less than a month after a damning federal inquiry chronicled assaults on teenage inmates by guards at Rikers, and criticized the division she oversaw as «ineffectual,» «understaffed» and biased in favor of correction officers.

Regional climate model bias correction improved the estimates on changes to future mean runoff

Among them are that it is not collected in the same way from state to state; misses center - based programs that fall outside the licensed provider network; does not incorporate corrections for sample bias; and, most critically, does not incorporate information from individual families on their daycare and preschool expenses.

They go on to mention the modern buoy problems and the continued need to work out bias corrections for changing engine inlet data as well as minor issues related to the modern insulated buckets.

The ``... uneven spatial distribution, many missing data points, and a large number of non-climatic biases varying in time and space» all contribute inaccuracies to to the global temperature record — as do errors in orbital decay corrections, limb - corrections, diurnal corrections, and hot - target corrections, all of which rely on measurements (+ - inherent errors), in the satellite temperature records.

In contrast, the only interval in the GISS or NCDC global time series that looks odd is during the WWII years between 1941 and 1945, where it appears that all the temperatures have a warming bias of 0.1 C. I agree with J.J.Kennedy that it is an artificial shift based on war - time procedures, but I think the corrections that Hadley made post-WWII were questionable.

Progress in the longer term depends on identifying and correcting model biases, accumulating as complete a set of historic observations as possible, and developing improved methods of detection and correction of observational biases.»

He also presented an example of the application of bias correction to individual meteorological variables prior to the formulation of the index based on climate simulations, and showed that the values obtained for the index fitted quite nicely the observations.

One way to check for such biases, would be to run the correction repeatedly on it's own output — the output should, I would suggest, asymptotically approach it's local average.

NASA GISS obtain much of their temperature data from the NOAA who adjust the data to filter out primarily time - of - observation bias (although their corrections also include inhomogeneities and urban warming - more on NOAA adjustments).

Regional climate model bias correction improved the estimates on changes to future mean runoff

He made the point well that much of the argument about climate consists of the scientists having to refute claims made by sceptics based on minutiae without regard for the bigger picture (2008 being colder than 1998 despite the general warming trend, or corrections upwards to the temperature of a single Tasmanian weather station despite the fact overall there was no bias).

Given that biases in buckets measurements depend on the air - sea temperature difference any more detailed corrections would involve using both MAT and SST together.

Conversely, bias corrections which vary over time can have a big effect on trends.

In climate: On the need for bias correction of regional climate change projections of temperature and precipitation Jens.

May a stranger compliment you on this terrific work and offer the comment that beyond the biased «corrections» by NOAA, the data seem also to show that the further away from cities and airports the measurements occur, the less the measurement of increased temperature is.

You're also now complaining about the fact that climate scientists have run corrections on data with known and well - understood bias errors, implying that the raw data is somehow «pure» and that the unbiased data has somehow been made «corrupt.»

In particular, he explained the bias dependency on the lead time, also known as drift, and distinguished between two approaches for bias adjustment (and not bias correction): a non-parametric, consisting in adjusting each forecast time separately, and a parametric approach, where a function to adjust different forecast times at once is used.

On the contrary, they found that the corrections made to the data resulted in ``... bias in unadjusted maximum temperature data from poor exposure sites relative to good exposure sites is, on average, negative while the bias in minimum temperatures is positive (though smaller in magnitude than the negative bias in maximum temperatures).&raquOn the contrary, they found that the corrections made to the data resulted in ``... bias in unadjusted maximum temperature data from poor exposure sites relative to good exposure sites is, on average, negative while the bias in minimum temperatures is positive (though smaller in magnitude than the negative bias in maximum temperatures).&raquon average, negative while the bias in minimum temperatures is positive (though smaller in magnitude than the negative bias in maximum temperatures).»

a Uncertainties (2 sigma) du to: data gaps and random errors estimated by RSOA (heavy solid); SST bias - corrections (heavy dashes); urbanisation (light dashes); changes in thermometer exposures on LAT (light solid).

Much of these concerns were echoed in a Corrections Service Canada report on The Black Inmate Experience in Federal Penitentiaries, which confirmed rampant prejudice and bias on behalf of corrections staff.