Sentences with phrase «hadat2 radiosonde data»

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.

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

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.

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

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

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

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.

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?

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.

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

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.

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.

It also seems to be tricky to reconcile radiosonde data with the climate models for the 1979 - 2000 period, although the agreement between surface and upper air trends is considered to be good for the 1958 - 2000 (Angell, 2003).

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.

We are also continuing to look more closely at the radiosonde data to see if we will be able to find evidence for interesting (though perhaps less dramatic than before) lapse - rate changes.

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.

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

The data vector would be the combined microwave spectrometer measurements, radiosonde data, and surface measurements.

«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.

I think people need to look at some radiosonde data.

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.

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?

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

The radiosonde data confirm the sat results.

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.

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

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.

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.

Miskolczi's quantity depends heavily on the radiosonde data.

The radiosonde data seems to take a minigun to the hot spot idea.

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

Either someone can dredge up radiosonde data that shows an equatorial hot spot or that is a dead issue.

-- 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).

The snake oil salesmen tried to convince Charlie Skeptic that models are as accurate as satellite and radiosonde data.

These include the primary surface temperature thermometer records (NASA GISS, NOAA, and HadCRUT); satellite measurements of the lower troposphere temperature processed by Remote Sensing Systems (RSS) and the University of Alabama - Huntsville (UAH); and 5 major reanalysis datasets which incorporate station data, aircraft data, satellite data, radiosonde data, buoy and ship measurements, and meteorological weather modeling.

Radiosonde data is a crucially important component of numerical weather prediction.

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).

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