Sentences with phrase «in radiosonde data»

In all calculations of A, TA,, and of the radiative flux components, the presence or absence of clouds was ignored; the calculations refer only to the greenhouse gas components of the atmosphere registered in the radiosonde data; we call this the quasi-all-sky protocol.

In all calculations of A, TA, t A, and of the radiative flux components, the presence or absence of clouds was ignored; the calculations refer only to the greenhouse gas components of the atmosphere registered in the radiosonde data; we call this the quasi-all-sky protocol.

And, it is understood that the trends in the radiosonde data are artifacts due to instrumentation that was never designed to look at trends of this sort.

Inhomogeneities in radiosonde data have also been discussed here in the past: e.g. Leopold in the Sky with Diamonds.

If in the radiosonde data water vapor amount has declined it the past 60 years globally (as the 2010 paper Fig 9 shows), this might also mean that more water in the air is there in clouds as ice.

Even when Douglass et al was written, those authors were aware that there were serious biases in the radiosonde data (they had been reported in Sherwood et al, 2005 and elsewhere), and that there were multiple attempts to objectively address the problems and to come up with more homogeneous analyses.

The errors in the radiosonde data are systematic, not random.

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].

Another question: Have the proposed homogeneization procedures been used also to see if radiosondes data in the remaining NH or SH need a correction as well?

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.

I understood from the beginning that each radiosonde data set involves systematic differences in the way the data is processed.

In fact, their correction hardly affects radiosondes data for the lower troposphere between 30S - 30N, where the homogeneization problem is supposed to be.

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.

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.

But satellite data, both RSS and UAH, still stubbornly refuse to show greenhouse fingerprint, in accordance with old, «incorrect» radiosonde data.

But in the tropics, the radiosondes data obstinately agrees with UAH TLT data far more than with RSS TLT data even after the homogeneization processes they propose.

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?

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 pieceIn 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 piecein 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 piecein the data sets (Steve discusses this more fully in an accompanying piecein an accompanying piece).

Similarly, do the trends in the new UAH data still match the radiosonde data, or is that not yet analysed?

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.

Radiosonde measurements and reanalysis data are used to examine long - term changes in tropopause behavior in the subtropics.

These problems are sufficiently serious that the US National Weather Service (NESDIS) adjusts satellite data every week to match radiosondes, in effect relying upon radiosondes as a reference instrument.

Not mentioned, but conceivably important is that the NCEP reanalysis is tied in some respects to the radiosonde data, which, as we discussed last year, may have some spurious trends.

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.

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).

«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.

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?

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.

This atmospheric evidence comes from instruments in weather satellites, producing the only truly global data — and, independently, from thermometers in balloon - borne radiosondes.

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.

What one can really learn from the radiosonde data on the changes in H2O concentration is an interesting issue not answered conclusively by this analysis.

Spencer points out that suspiciously high radiosonde humidity data during the 1950's and 1960's might not be correct and if not then there's no drying effect in the atmosphere subsequently.

-- 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».

The QBO in WACCM4 is prescribed by relaxing equatorial zonal winds between 86 and 4 hPa to observed radiosonde data (28 - month period).

The IPCC TAR, which you are fond of quoting, says «Discrepancies between MSU and radiosonde data have largely been resolved, although the observed trend in the difference between the surface and lower tropospheric temperatures can not fully be accounted for.»

As you may recall, they had that discrepancy in radiosonde measurements of the lower troposphere for a decade, until someone finally copped to an algebra mistake in a data - processing procedure.

Used in conjunction with Earth - orbiting satellite - based passive temperature and moisture radiometric soundings, as well as active lidar wind measurements, profilers complement the data collected from radiosondes.

Four fifty - year - old independent radiosonde data sets measuring atmospheric pressure, temperature, wind speed and direction in those latitudes show no tropospheric hot spot where there should be one according to AGW gospel.

This important (remote & data sparse region) GUAN station has in the past received the support of GCOS and the Met Service has informed GCOS that sufficient funding for maintenance of equipment (radiosonde system and hydrogen generator), local staff training and supplies is not available.

In both global and tropical data, the peaks and dips in the satellite and radiosonde time series correlate quite welIn both global and tropical data, the peaks and dips in the satellite and radiosonde time series correlate quite welin the satellite and radiosonde time series correlate quite well.

(2) The scientific community should perform a more comprehensive analysis of the uncertainties inherent in the surface, radiosonde, and satellite data sets.

The tropospheric hot spot is a good place to look — there's certainly some issues with radiosonde data accuracy and the details of the AGW predictions (in both directions, very arguable either way), but that's the kind of data that can contradict AGW.

It is important to note that significant uncertainty exists in radiosonde datasets reflecting the large number of choices available to researchers in their construction and the many heterogeneities in the data.