Sentences with phrase «of radiosonde data»

They don't realize this is a huge step forward in atmospheric physics, mainly because all of the equations and relations that he has coerced out of the radiosonde data are applicable at almost any point on the Earth and at any season, averaged over time and within tight error bars.

However, detailed statistical analyses of the available satellite data (RSS, UMd, UAH) since 1979 and of radiosonde data (HadAT, RATPAC, RICH, and IUK) since about 1959 has revealed that there are significant errors and uncorrected biases in all datasets.

I don't understand why, if a good calibration could be obtained, there would be any weighting of radiosonde data as this would increase the noise in the data due to biases between the multitude of radiosones..

Chris stated they are calibrated to the radiosonde data, but did not elaborate if the calibration for the humidity measurement was good enough to allow satellite data to be used in lieu of radiosonde data.

Is the data contradicting the «big red dog» as previously discussed here entirely the result of radiosonde data?

If a good calibration can be obtained, then the satellite data could (and should) be used in lieu of the radiosonde data.

To date, most large - scale water vapor climatological studies have relied primarily on analysis of radiosonde data, which have good resolution in the lower troposphere in populated regions but are of limited value at high altitude and are lacking over remote oceanic regions.

Above the routine maximum height of the radiosonde data (above levels where atmospheric pressure drops below 100 millibars, at about 17 km [10.5 miles]-RRB-, rocketsondes, rocket - borne grenades, and falling sphere experiments have been used to monitor the thermal structure of the upper atmosphere.

Do you have a scientific criticism of the radiosonde data, some reasons to discredit or ignore them at all times?

«Miskolczi additionally shows from 61 years of radiosonde data that a long - term decrease in the Earth's greenhouse effect from humidity decreases in the middle and upper atmosphere have approximately counterbalanced the increase in the greenhouse effect from rising CO2 levels.

All of the radiosonde data are measuring the tropospheric temperature trend under the same noisy (i.e., weather) conditions, so we can usefully calculate the overall mean AND standard deviation of the means.

Not exact matches

«Using more recent data and better analysis methods we have been able to re-examine the global weather balloon network, known as radiosondes, and have found clear indications of warming in the upper troposphere,» said lead author ARC Centre of Excellence for Climate System Science Chief Investigator Prof Steve Sherwood.

Using U.S. Weather Service data on precipitation, radiosonde measurements of CAPE and lightning - strike counts from the National Lightning Detection Network at the University of Albany, State University of New York (UAlbany), they concluded that 77 percent of the variations in lightning strikes could be predicted from knowing just these two parameters.

In the upper - air field, this difference of approach has been very obvious, and great efforts have been expended to produce corrections to the older radiosonde data sets.

Even more, if their homogeneization procedure mostly affects the radiosondes data in the NH, where more measuring points exist and less of a homogeneization problem would be expected?

There is evidence in satellite and radiosonde data and in observational data for poleward expansion of the tropical circulation by as much as a few degrees of latitude since the 1970s [34]--[35], but natural variability may have contributed to that expansion [36].

This implies that a typical radiosonde data set has only a 10.4 — 10.6 % chance of being that far below the model predictions, in the absence of systematic deviations.

This implies that a typical radiosonde data set has only a 10.4 — 10.6 % chance of being that far below the model predictions...

But it is also true that transforming the latitude data of the individual radiosondes so that they are organised into surface - equivalent data groups is simple enough to be done with a simple excel sheet in less than 5 minutes, and once you have them correctly grouped and averaged, a linear plot will do the desired job perfectly well.

For simplicity, I will use the data mean and the average sigma of the data sets to represent a «typical» radiosonde data set.

The fact that radiosondes agree more both with RSS and UAH TLT data in the northern hemisphere after the correction, without reducing the level of agreement already existing with UAH in the tropics, means that the correction shows a curious effect that I had mentioned before: there is more warming in the extratropical northern hemisphere's lower troposphere than in the tropics.

This implies that the aggregate radiosonde data have only a 3.5 and 5.2 % chance of being that far below the model predictions without systematic deviations.

Even more, if their homogeneization procedure mostly affects the radiosondes data in the NH, where more measuring points exist and less of a homogeneization problem would be expected?

Even using your 2 - sigma levels, 4 of the 7 radiosonde data sets have trend averages that lie outside the 95 % confidence interval for the models.

No, you are wrong, RSS is consistent with models only if we look at global trends, but RSS trend for tropical «hot - spot» is out of 2 standard deviations limit of the model mean, just like UAH and all «uncorrected» radiosonde data sets.

In the third paper this week, Sherwood et al report on an apparent bias in the daytime readings of these radiosondes which, again, appears to have suppressed the trends in the data sets (Steve discusses this more fully in an accompanying piece).

The issue in two of those papers was whether satellite and radiosonde data were globally consistent with model simulations over the same time.

Both the radiosonde and reanalysis data show that the frequency of occurrence of high tropopause days in the subtropics of both hemispheres has systematically increased during the past few decades, so that tropical characteristics occur more frequently in recent years.

It turns out that the radiosonde data used in this paper (version 1.2 of the RAOBCORE data) does not have the full set of adjustments.

Specifically, the characteristics of the divergence across the datasets are strongly suggestive that it is an artifact resulting from the data quality of the surface, satellite and / or radiosonde observations.

There are and were problems with all kinds of temperature records, as good as for satellite data as for radiosonde and surface data.

I do them myself two ways, one while using the sun as a fixed sphere of reference, the other by taking all of upper air radiosonde data, condensating them to one readable number in degrees Kelvin.

The more data from old radiosondes, ships» logs and small meteorological stations is included, the better our picture of how things were 80 or more years ago will be.

Barely more surprising is that all of the tropospheric satellite datasets and radiosonde data also have 2016 as the warmest year.

I might understand you not knowing off the top of your head but what kind of scientist wouldn't quickly look up what data is returned by radiosondes before shooting off his mouth about them?

«The radiosonde data prepared by my collaborators made it possible to directly study the environmental conditions under which shallow and deep clouds occurred,» Jingfeng Wang of MIT told environmentalresearchweb.

Together with colleagues at MIT, the University of Michigan, the Instituto Nacional Presquisa Espaciais, Brazil, and the University of California, Irvine, Wang studied an area of rainforest in the Rondonia, Brazil using radiosonde data taken in 1994 as part of the Rondonian Boundary Layer Experiment (RBLE - 3) under the Anglo - Brazilian Amazonian Climate Observation Study (ABRACOS).

When I look at radiosonde data I do not see any support for propagation of high altitude temperature changes to the Surface.

What kind of scientist are you exactly and why didn't you know that radiosonde data includes relative humidity in addition to temperature, pressure, altitude, longitude, latitude, wind speed, and wind direction?

Lanzante, John R., Melissa Free, 2008: Comparison of Radiosonde and GCM Vertical Temperature Trend Profiles: Effects of Dataset Choice and Data Homogenization.

Their reports could easily be used as another validation of satellite or radiosonde data.

Figure 10.7 in WG1 of AR4 showed a predicted heating of about 0.6 deg C per decade between 400 and 100hPa and -30 deg S to 30deg N. However, none of the data from satellites or radiosondes confirms anything like that rate of heating.

How, for example, does this incident cast doubt on the findings from satellite data, radiosondes, borehole analysis, glacial melt observations, sea ice melt, sea level rise, proxy reconstructions, permafrost melt and such like, gathered completely independently of the CRU?

Haimberger, Leopold, Christina Tavolato, Stefan Sperka, 2008: Toward Elimination of the Warm Bias in Historic Radiosonde Temperature Records — Some New Results from a Comprehensive Intercomparison of Upper - Air Data.

So, since the sat samples much more of the globe and the readings have been confirmed by radiosonde — a fact you have completely avoided to explain — the sat data rules.

pg.5346 (pdf pg 11), Sherwood et al. (2008 October 15) Robust Tropospheric Warming Revealed by Iteratively Homogenized Radiosonde Data, Journal of Climate, Vol.

They have gone through a number of types of radiosondes and the satellite data would indicate the measurement change with the new device since the new radiosondes wouldn't match the satellite data and the old radiosondes would This is the same problem — mandatory objective environmental test standards would give historic continuity.

As is clear from a reading of his papers, Miskolczi's infra - red optical depth is no more than a quantity calculated from radiosonde data through the use of a precise and well - constructed radiative transfer algorithm.

-- 1.87 is the clear - sky, or the all - sky annual mean infrared optical thickness; — if clear - sky, how the cloudless cases were selected out from the radiosonde data set; — if it is the clear + cloudy (all - sky), how did he get it as global average value, when the cloud infrared optical depth is infinite (in half of the cases); — if 1.87 is for all - sky, how much is the clear - sky value (if he got it).

Both the radiosonde and reanalysis data show that the frequency of occurrence of high tropopause days in the subtropics of both hemispheres has systematically increased during the past few decades».