The consistency in
the high cloud coverage and the upper tropospheric RH indicates that the trends are more robust than one might expect from the apparently mongrelized assimilation data over the period of record.
Not exact matches
The Mojave Desert's minimal
cloud coverage and
high elevation make for the perfect solar - energy terrain.
The weather seems to change minute to minute and we go from sun, to
cloud coverage, to sprinkles to
high winds from one moment to the next.
(Note that radiative forcing is not necessarily proportional to reduction in atmospheric transparency, because relatively opaque layers in the lower warmer troposphere (water vapor, and for the fractional area they occupy, low level
clouds) can reduce atmospheric transparency a lot on their own while only reducing the net upward LW flux above them by a small amount; colder,
higher - level
clouds will have a bigger effect on the net upward LW flux above them (per fraction of areal
coverage), though they will have a smaller effect on the net upward LW flux below them.
Complete
cloud coverage over tropics will still make conditions in tropics warmer than they are now [at earth distance], but complete
cloud coverage over regions which do not have sun directly overhead [
high latitude, winter] will cause cooler conditions then than Venus distance tropics.
Even with total
cloud coverage and rarely ever seeing the sun we are setting record
high temperatures and even warmer temperatures at night here in Idaho.
By persistent I mean
cloud coverage that stays
higher all the time.
Composite imaging is an extremely useful tool for helping people understand the Earth — they allow researchers to capture certain features at
higher resolution; reduce the obscuring effect of
cloud coverage in certain areas; and overlay various data layers to help identify patterns and trends.
It has been noted by investigators that the algorithms used for adjusting satellite observed SST data has been inconsistent,
cloud coverage has limited the adequacy of satellite
coverage, and in - situ measurements by VOS and buoy networks has been inadequate with respect to the datasets produced by the Advanced Very
High Resolution Radiometers (AVHRR), Cross Product Sea Surface Temperature (CPSST), Non-Linear SST (NLSST), and Multi-Channel Sea Surface Temperature (MCSST) methods.
major volcanic activity increase and global
cloud / snow
coverage increase equates to a slightly
higher albedo
CMIS represented the state of the art in satellite microwave radiometers and was intended to continue, with a
higher degree of accuracy and resolution, the time series of many fundamental climate variables, including SST and wind, sea ice and snow
coverage, soil moisture, and atmospheric moisture (vapor,
clouds, and rain).