Together with colleagues from Berlin and Geneva, climate researchers from Karlsruhe Institute of Technology (KIT) have been investigating the interactions of laser light and
ice clouds using the unique AIDA aerosol and cloud chamber on KIT's Campus North.
Not exact matches
Dozens of states and countries run
cloud - seeding programs
using artificial
ice - nucleating compounds.
But that year she teamed up with Paul DeMott, a
cloud physicist from Colorado State University, to see if they could
use the machine to identify the particles that form
ice in
clouds.
Microwaves are
used to measure
ice packs because they see through
clouds.
Prather and her team
use special single - particle mass spectrometers, which sample
cloud droplets and
ice crystals in real - time.
© John Whatmough — larger image (Artwork from Extrasolar Visions,
used with permission) View of of tidally locked, cold side of planetary candidate b with
ice clouds on dark side, as imagined by Whatmough.
The expansion chamber will be
used to create a supercooled
cloud by expansion and growth of drops at temperatures below 260 K.... In addition to experiments with supercooled liquid droplets already present (freezing nucleation), we will also investigate
ice nucleation without pre-existing droplets (deposition nucleation).
«Probability density function,» a statistical representation of the likelihood of something occurring at any point in time, was
used to examine
cloud properties, including vertical motion, liquid and
ice water content, and the conditions of
cloud particle growth, including how
ice crystals grow at the expense of liquid droplets.
Further studies
using PNNL's
ice nucleation chamber will simulate the life cycle of aerosol in a
cloud.
MARCI images will be
used to document the weather on Mars by observing the comings and goings of dust storms, polar frost, and
clouds of water vapor, water
ice, and carbon dioxide crystals.
In this paper, we
use the Spitzer c2d
ice survey, complimented with data sets on
ices in
cloud cores and high - mass protostars, to determine standard
ice abundances and to present a coherent picture of the evolution of
ices during low - and high - mass star formation.
Two missions will
use space - borne lasers to measure tree height: an instrument mounted on the International Space Station, called the Global Ecosystem Dynamics Investigation (GEDI); and a satellite called the
Ice, Cloud and land Elevation Satellite - 2 (ICESat - 2), that will focus on measuring snow and ice, but will also measure the planet's fores
Ice,
Cloud and land Elevation Satellite - 2 (ICESat - 2), that will focus on measuring snow and
ice, but will also measure the planet's fores
ice, but will also measure the planet's forests.
This strategy is
used to identify
ice bands and to constrain which
ices form early during
cloud formation, which form later in the prestellar core and which require protostellar heat and / or UV radiation to form.
This fall, NASA will launch the
Ice, Cloud, and land Elevation Satellite - 2 (ICESat - 2), which will use a highly advanced laser instrument to measure the changing elevation of ice around the world, providing a view of the height of Earth's ice with greater detail than previously possib
Ice,
Cloud, and land Elevation Satellite - 2 (ICESat - 2), which will
use a highly advanced laser instrument to measure the changing elevation of
ice around the world, providing a view of the height of Earth's ice with greater detail than previously possib
ice around the world, providing a view of the height of Earth's
ice with greater detail than previously possib
ice with greater detail than previously possible.
The researchers
used mass spectrometry to analyze the
ice crystals in natural and artificial
clouds.
********************************************************** CONTENT • Cover • 15 x Labelled Types of Weather Photo Posters • TOU / Credits LIST OF WEATHER TYPES • blizzard •
cloud • flood • fog • hail • hurricane •
ice • rain • rainbow • sleet • snow • sun • thunderstorm • tornado • wind Please note: these photographs are for personal and classroom
use only.
In addition, since the global surface temperature records are a measure that responds to albedo changes (volcanic aerosols,
cloud cover, land
use, snow and
ice cover) solar output, and differences in partition of various forcings into the oceans / atmosphere / land / cryosphere, teasing out just the effect of CO2 + water vapor over the short term is difficult to impossible.
Looking at errors in
cloud physics, or boundary layer mixing or
ice albedo can be done
using atmosphere - only simulations which take less than a day to run.
Since many of these processes result in non-symmetric time, location and temperature dependant feedbacks (eg water vapor,
clouds, CO2 washout, condensation,
ice formation, radiative and convective heat transfer etc) then how can a model that
uses yearly average values for the forcings accurately reflect the results?
In 2003, NASA launched the
Ice,
Cloud, and Land Elevation Satellite (ICESat),
using laser altimetry to more accurately measure changes in the Earth's surface elevation.
It would have to be something that affected the net heat balance of the earth by affecting incoming radiation (solar inputs, aerosols,
clouds), the reflectivity of the earth (
ice caps, land
use changes) or the ability of the surface to cool (greenhouse gases).
likewise, lambda must be 0.231 for
clouds and 0.091 for
ice / albedo feedback,
using Hansen's figures.
The ARISE campaign,
using NASA's C - 130 Hercules aircraft from Wallops Flight Facility in Virginia, had its first science flight on Sept. 4 and has already carried out several surveys of sea
ice and
cloud conditions.
The
use of such a model was justified by the observed relationship between the normalized variability of
cloud depth and both the
cloud amount and the normalized variability of the
ice - water mixing ratio (and extinction).
This model could be
used as a starting point in the development of a GCM parameterization of a the
ice mixing - ratio probability distribution function and
cloud amount, if a means of diagnosing the depth of the saturated layer and the standard deviation of
cloud depth from basic large - scale meterological parameters could be determined.
The presence of
cloud condensation and
ice nuclei in air parcels is tested by
using cloud chambers in which controlled temperatures and relative humidities are specified.
More complex examples (General Circulation Models) attempt to represent everything —
clouds, air movement, rain, shrinking
ice, ocean heat, as well as the interaction between all these things, which in effect define climate — as well as
use archive information to model climates from the past, in order to make predictions for the future.
1) All are numbers that assume
clouds and
ice are the same; 2) I think there is a significant error
using Stevenson screens and one meter below surface ocean measurements.
In a process called
cloud seeding, silver iodide, with effective
ice - nucleating temperatures of less than − 4 °C, has been
used for years in attempts to convert supercooled water to
ice crystals in regions with a scarcity of natural
ice nuclei.
This quantity represents the difference in the intensity of the long - and short - wave infrared radiation at these two wavelengths that travels upward from the atmosphere to the satellite, and it is traditionally
used to differentiate between water and
ice clouds.
Measure the temperatures of sea
ice, ocean surface, and
cloud tops
using IR images and sensors deployed on the USCG C - 130
Trying to do this work
using earlier visible and thermal imagery requires the scientists to go through each image and manually filter out the
clouds and determine where the
ice is.»
The wide range of studies conducted with the ISCCP datasets and the changing environment for accessing datasets over the Internet suggested the need for the Web site to provide: 1) a larger variety of information about the project and its data products for a much wider variety of users [e.g., people who may not
use a particular ISCCP data product but could
use some ancillary information (such as the map grid definition, topography, snow and
ice cover)-RSB-; 2) more information about the main data products in several different forms (e.g., illustrations of the
cloud analysis method) and more flexible access to the full documentation; 3) access to more data summaries and diagnostic statistics to illustrate research possibilities for students, for classroom
use by educators, or for users with «simple» climatology questions (e.g., annual and seasonal means); and 4) direct access to the complete data products (e.g., the whole monthly mean
cloud dataset is now available online).
Using liquid and
ice microphysics models reduces the biases in
cloud optical thicknesses to ≲ 10 %, except in cases of mistaken phase identification; most of the remaining bias is caused by differences between actual
cloud particle sizes and the values assumed in the analysis.
The most significant changes in the new D - series
cloud datasets are: 1) revised radiance calibrations to remove spurious changes in the long - term record, 2) increased cirrus detection sensitivity over land, 3) increased low - level
cloud detection sensitivity in polar regions, 4) reduced biases in cirrus
cloud properties
using an
ice crystal microphysics model in place of a liquid droplet microphysics model, and 5) increased detail about the variations of
cloud properties.
Particle probe measurements in the cirrus
clouds are
used to compute
ice water content and radar reflectivity averages in short time periods (25 — 30 s).
Due to persistent
cloud cover, which obscures optical sensors, scientists from the National Snow and
Ice Data Center (NSIDC) at the University of Colorado, Boulder,
use infrared (IR) sensors to infer the amount of heat emitted from the surface.
Observed and simulated
cloud properties will be considered within the context of the aerosol and meteorological environment over the West Antarctic
Ice Sheet
using ancillary AWARE, reanalysis and satellite measurements.
The three studies,
using different methodologies to estimate the global surface albedo feedback associated with snow and sea
ice changes, all suggest that this feedback is positive in all the models, and that its range is much smaller than that of
cloud feedbacks.
The passive - microwave data
used for the Sea
Ice Index is especially helpful because the sensor can «see» through
clouds and deliver data even during the six months of Arctic darkness and frequently cloudy conditions.
The expansion chamber will be
used to create a supercooled
cloud by expansion and growth of drops at temperatures below 260 K.... In addition to experiments with supercooled liquid droplets already present (freezing nucleation), we will also investigate
ice nucleation without pre-existing droplets (deposition nucleation).
Even
using infrared sensing techniques has been challenging in the past because both
clouds and
ice cover in Greenland have similar temperatures.