Sentences with phrase «from radiosonde data»

-- 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).

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.

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.

Not exact matches

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.

GTTA are represented by data from satellite microwave sensing units (MSU) for the period 1980 — 2008 and from radiosondes (RATPAC) for 1958 — 2008.

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

This is no different from your averaging together the models, or averaging the radiosonde data over altitude.

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.

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.

«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.

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.

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.

Data assembled from radiosonde balloon records12 is a pretty fair match with HadCRUT34, GHCN - ERSST8 and HadCRUT2v9, suggesting independent corroboration via alternative methodology.

The paper discusses four different sets of data on satellite atmospheric monitoring (all producing slightly different end products), two radiosonde data sets (from UK Hadley Centre and University of Vienna, both adjusted for inhomogeneities — and that opens another can of worms), four different surface temperature data sets (based on reconstructed sea surface temperature data sets from Hadley Centre, again, and Climate Research Unit).

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.

It is a known phenomenon of radiosonde temperature measurement that radiosonde temperature sensors may retain humidity after emerging from cloud, humidity which affects subsequent temperature measurement data.

The green curve shows temperature data from the same layer as measured by radiosondes (i.e., «simulated 2LT»)(Parker et al., 1997).

Some evidence for this may lie in the NCEP reanalysis data for radiosondes from 1948.

The data are derived from James K. Angell's article «Variation with Height and Latitude of Radiosonde Temperature Trends in North America, 1975 - 94,» published in the Journal of Climate in August of 1999 (Volume 12, Issue 8).

GTTA are represented by data from satellite microwave sensing units (MSU) for the period 1980 — 2008 and from radiosondes (RATPAC) for 1958 — 2008.

The radiosonde weather balloon data is from the NOAA Earth Space Research Laboratory.

It is of course possible that the observed humidity trends from the NCEP data are simply the result of problems with the instrumentation and operation of the global radiosonde network from which the data are derived.

For the year 2011, maps of mean (top left) CAPE from the SPARC radiosonde data, (top right) precipitation from the NWS RFC data, (bottom left) product of the top two maps, and (bottom right) CG lightning from the National Lightning Detection Network data.

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.

There can be no question that UAH data is more accurate than RSS, being confirmed by radiosonde data deriving from some 800 independently operated radiosonde programs.

However, early radiosonde sensors suffered from significant measurement biases, particularly for the upper troposphere, and changes in instrumentation with time often lead to artificial discontinuities in the data record... Consequently, most of the analysis of radiosonde humidity has focused on trends for altitudes below 500 hPa and is restricted to those stations and periods for which stable instrumentation and reliable moisture soundings are available.

From these daily values the monthly mean zonal wind components were calculated for the levels 70, 50, 40, 30, 20, 15, and 10 hPa and a data set from 1953 to the present was produced by combining the observations of the three radiosonde stations Canton Island (closed 1967), Gan / Maledive Islands (closed 1975), and Singapore (data file: qbo.dFrom these daily values the monthly mean zonal wind components were calculated for the levels 70, 50, 40, 30, 20, 15, and 10 hPa and a data set from 1953 to the present was produced by combining the observations of the three radiosonde stations Canton Island (closed 1967), Gan / Maledive Islands (closed 1975), and Singapore (data file: qbo.dfrom 1953 to the present was produced by combining the observations of the three radiosonde stations Canton Island (closed 1967), Gan / Maledive Islands (closed 1975), and Singapore (data file: qbo.dat).

It was because of this that we tend to believe that, if there are spurious trends in the output of the NCEP model, then they most likely derive from the radiosonde input data rather than from the behaviour of the model.

Anyway, our paper concluded by suggesting that, in view of the extreme significance of upper - level humidity to the climate change story, the international radiosonde data on upper - level humidity should not be «written off» without a serious attempt at abstracting the best possible humidity signal from within the noise of instrumental and operational changes at each of the relevant radiosonde stations.

Radiosonde locations are quickly plotted (from ERA - 40 data ingest for January 1, 2001): There are on the order of 700 stations used with the highest density in the Northern Hemisphere especially in Norther America and Central Europe.

As we discussed in our paper, if one takes out the «no radiosonde data» squares from the output of the NCEP model, the averages of the remaining squares (about 2 % of the total) tell much the same story as when one uses all of them.

The new dataset shows more warming than most similar datasets constructed from satellites or radiosonde data.»

Almost half of the time period covered by Figure A was from one radiosonde site before satellite data became available.

When upper atmosphere drying trends this large (see Figure 3, 4, 10) are seen in older radiosonde data, I can understand how Miskolczi could have calculated a relatively constant tau from similar data.

This unique signature (endorsed by the IPCC I might add), is not confirmed by real data from satellites or radiosondes.