Not exact matches
Using the six weeks of
data, the team devised a mathematical formula to process the raw
microwave readings which gave the same estimate of sea ice whichever
set of
data was used.
The Very Large Array radio observatory in New Mexico will supplement Juno's
data with its own
set of short - wavelength
microwave observations.
The team then examined a
data set of passive
microwave measurements from the Defense Meteorological Satellite Program.
While there remain disparities among different tropospheric temperature trends estimated from satellite
Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and
data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).
While there remain disparities among different tropospheric temperature trends estimated from satellite
Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and
data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).
More generally, we are using multiple sensor & associated
data sets (low frequency
microwave radiometers, ocean color, sea surface temperature, wind, wave, altimeter products, model and in situ
data..)
The most reliable
sets of global temperature
data we have, using satellite
microwave sounding units, show no appreciable temperature increases during the critical period 1978 - 1997, just when the surface station
data show a pronounced rise.
-- Brandt et al., 2017 https://www.nature.com/articles/s41559-017-0081 Here we used a passive
microwave Earth observation
data set to document two different trends in land area with woody cover for 1992 — 2011: 36 % of the land area (6,870,000 km2) had an increase in woody cover largely in drylands, and 11 % had a decrease (2,150,000 km2), mostly in humid zones.
The two satellite
data sets, RSS and UAH, use the
Microwave Sounding Units (MSU) of orbiting satellites to estimate lower tropospheric temperature.
With all respect to Mears and his colleagues, the continuously shifting nature of the baseline corrections still doesn't suggest that the
microwave - derived atmospheric temperature measurements (or calculations) constitute a stable enough
data set to reliably or accurately interpret long - term trends on the magnitude of ~ 0.1 K / decade.
The passive
microwave sea ice record dates back to 1979, one of the longest environmental
data sets we know of.
Buehler S. A, M. Kuvatov, V. O. John, M. Milz, B. J. Soden, D. L. Jackson and J. Notholt (July 2008): An upper tropospheric humidity
data set from operational satellite
microwave data.