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.
Dr. Angell's focus was on
the radiosonde measurements of the atmospheric temperature above the Earth's surface but he also gave results for surface temperature.
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.
Miskolci showed that according to NOAA database of
radiosonde measurements of infrared transmittance of the atmosphere the transmittance of the atmosphere remained constant for 61 years.
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.
Not exact matches
S&C also saw the benefits
of correlating their results to
radiosonde measurements as verification, and RSS doesn't.
In conclusion, the research on
radiosonde measurement problems looks promising but it is only a small part
of a larger problem
of poor
measurements and poor models.
Furthermore, there have been independent
measurements / analysis
of dew - point temperature from
radiosondes in the Tropics.
Although there is no possibility
of a calibration standard for global temperature, the MSU (i.e. RSS and UAH)
measurements are almost global in coverage and the
radiosondes provide independent
measurements for comparison.
Millions
of measurements taken by balloon - borne
radiosondes do not show it.
Temperature
measurements retrieved from the hundreds
of balloon - borne
radiosonde instruments that are released each day by the various national weather services provide much more detailed information on the vertical structure
of atmospheric temperature changes than is available from satellites.
Variations in global - mean temperature are inferred from three different sets
of measurements: surface observations, satellite observations, and
radiosonde observations.
By 2010 Miskolczi had found proof by using NOAA records
of radiosonde measurements going back to 1948.
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.
Some people question the quality
of the water vapor
measurements made by the
radiosondes but I've been informed that Miskolczi believes that the presently published water vapor
measurements are the current best bet.
The satellite has the best coverage and suffers least from UHI and errors in TOB homogenisation, station drop outs etc, and is verified independently against
radiosonde temperature
measurements, but it is only
of short duration.
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.
• the factors that contribute to uncertainties in the trends inferred from three categories
of instrumental
measurements — Microwave Sounding Units (MSU) carried aboard National Oceanic and Atmospheric Administration (NOAA) satellites,
radiosondes, and surface observations;
That means that the uncertainty
of the
measurement error for the
radiosondes and the satellites is negligible.
The black curve represents surface temperature, and the colored curves represent the temperature
of the lower to mid-troposphere as inferred from MSU
measurements (red) and
radiosonde observations (green).
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.
In considering possible sources
of errors in the satellite,
radiosonde, and surface - based temperature
measurements, it should be noted at the outset that none
of these
measurement systems was specifically designed for long - term climate monitoring (NRC, 1999).
independence
of both the
measurement errors and the uncertainties in satellite,
radiosonde, and surface - based temperature records, which lends greater confidence to an assessment based on all three
measurement categories than to an assessment based on any one
of them in isolation.
Temperatures aloft can be measured in a number
of ways, two
of which are useful for climate monitoring: by
radiosondes (balloon - borne instrument packages, including thermometers, released daily or twice daily at a network
of observing stations throughout the world), and by satellite
measurements of microwave radiation emitted by oxygen gas in the lower to mid-troposphere, taken with an instrument known as the Microwave Sounding Unit (MSU).5 The balloon
measurements are taken at the same Greenwich mean times each day, whereas the times
of day
of the satellite
measurements for a given location drift slowly with changes in the satellite orbits.
Mears and others said that the satellite
measurements should not be taken seriously because they only infer the temperature from
measurements of radio emissions by Oxygen molecules - AND - that these final numbers never match actual temperature
measurements made over land and water (ground stations as well as
radiosonde).
Atmospheric profiles in North America during the period 2010 - 2011, obtained from archived
radiosonde measurements, were analysed in terms
of changes in molar density (D) with pressure (P).
Given the data limitations it is concluded that using
radiosondes to validate multidecadal - scale trends in MSU data, or vice versa, or trying to use such metrics alone to pick a «winner» is an ill - conditioned approach and has limited utility without one or more
of additional independent
measurements, or methodological, or physical analysis.»
Radiosonde humidity
measurements are notoriously unreliable and are usually dismissed out -
of - hand as being unsuitable for detecting trends
of water vapor in the upper troposphere.
«Cloud properties under different synoptic circulations: Comparison
of radiosonde and ground - based active remote sensing
measurements.»
A recent study
of water vapor trends above North America based on
radiosonde measurements from 1973 to 1993 finds increases in precipitable water over all regions except northern and eastern Canada, where it fell slightly.
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.
Because the satellite data measure an average temperature through a depth
of several kilometres in the atmosphere, they would be expected to compare better with upper - air
measurements taken using weather balloons and
radiosondes than they would with
measurements at the surface.
The
radiosondes would provide a check for accuracy / drift
of the satellite
measurements over time and to provide a solid overlap when calibrating a new satellite or instrument..
To answer this question I looked at more than just the traditional Hadley, NASA and NOAA datasets, but also the
measurements of the lower troposphere processed by Remote Sensing Systems (RSS) and the University
of Alabama - Huntsville (UAH) as well as the 5 major reanalysis datasets which incorporate station data, aircraft data, satellite data,
radiosonde data and meteorological weather modeling.
Using only the wind data (
radiosondes and commercia jet
measurements), the short term large scale forecast error over the US was just as small as with all additional sources
of data combined.
The issue
of tropospheric temperature trends is very difficult and has received a great deal
of attention by researchers and also assessment reports; the problems are much worse for humidity and few people have even attempted to do anything with tropospheric humidity trends owing to inaccuracies in the
radiosonde humidity
measurements and substantial uncertainties in the satellite retrievals.
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.
In my limited understanding, the fundamental problem arises from the fact that old
radiosonde measurements show that the relative humidity
of the upper troposphere has dropped as the earth has warmed.
The IPCC fifth assessment report concluded:» based on multiple independent analyses
of measurements from
radiosondes and satellite sensors it is virtually certain that globally the troposphere has warmed and the stratosphere has cooled since the mid-20th century.
The most glaring may be that theory says that the troposphere will warm more rapidly than the surface, but estimates
of tropospheric warming from satellites, corellated reasonably well with
measurements from
radiosonde balloons, show slower warming in the troposphere.
[49] The climate models also overpredict the results
of the
radiosonde measurements.