Satellite observations of water vapor and clouds

implications for GCM cloud parameterization
  • 332 Pages
  • 2.61 MB
  • English

Water vapor, Atmosph
Statementby Brian Jon Soden.
LC ClassificationsMicrofilm 94/3232 (Q)
The Physical Object
Paginationxiii, 332 leaves
ID Numbers
Open LibraryOL1242393M
LC Control Number94629532

For the greenhouse effect, clouds, water vapor, and CO 2 are of the utmost importance. The emergence of computers as a viable scientific tool in the s in conjunction with the availability of spectroscopic data enabled us to treat the numerous complexities of Cited by: Cloud-circulation coupling Increasing (modeling) evidence that atmospheric cloud-radiative effects are critical in controlling the intensity, the width and the shifts of atmospheric circulations and tropical rain belts.

We are just beginning to quantify these effects observationally thanks to the cloud vertical information provided by lidar-radar satellite observations. Seeing within clouds.

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However Earth observation is already making good that gap in our models, returning detailed images of the tops of clouds and their interior structure, as well as their height and reflectivity.

Spectral data can provide details on a cloud's temperature, thickness, particle size and whether it is composed of water or ice. Robert Pincus & David Winker Shallow Clouds, Water Vapor, Circulation, and Climate Sensitivity. Table 2. Change of OLR by layer from water vapor and from CO 2 from to The calculations show that the cooling effect of the water vapor changes on OLR is 16 times greater than the warming effect of CO 2 during this year period.

The cooling effect of the two upper layers is times greater than the warming effect of the lowest layer. [1] A global multisensor satellite examination of aerosol indirect effects on warm oceanic clouds is presented.

The study centers on the water path response of cloud to aerosol burden. A unique element of the study is a rigorous rain screening methodology that is utilized to separate the responses of nonraining and raining clouds. Abstract. Atmospheric observations are often collected from irregularly distributed spatial locations.

Numerical weather prediction models require a set of atmospheric state variables on an analysis grid mesh at a specified time, where the analysis grid mesh is a theoretical N-dimensional space with regularly distributed olation converts real-world data to the would-be-ideal grid.

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[4] This paper extends this work to the coupling of water vapor convergence, clouds, precipitation and land‐surface processes for the midlatitude basins of the Mississippi River, using precipitation observations and the ISCCP surface short‐wave flux to evaluate ERA With these data, we can estimate the bias in ERA40 of the ratio of the.

4. Data quality. In order to assess the quality of the Odin/SMR water vapour retrievals and to identify possible systematic biases, the different level-2 data versions have been compared to correlative satellite measurements and also to observations of a ground-based microwave radiometer.

This paper presents an overview of our efforts to characterize and better understand cloud-related changes in aerosol properties. These efforts primarily involved the statistical analysis of global or regional datasets of Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aerosol and cloud observations.

Band 8 - IR: water vapor - upper; Band 9 - IR: water vapor - mid; Band 10 - IR: water vapor - lower; Band 11 - IR: cloud-top phase; Band 12 - IR: ozone; Band 13 - IR: clean longwave; Band 14 - IR: longwave; Band 15 - IR: dirty longwave; Band 16 - IR: CO₂ longwave; Full Disk.

GOES-East. All channels; RGBs; GeoColor - True color day / IR night. Water Vapor (day and night) Satellite Super HD; Satellite visible; Europe and Africa. Infrared (day and night) Cloud Tops Alert (day and night) Water Vapor (day and night) Satellite HD; Archive since ; Asia and Australia.

Satellite HD; Cloud Tops Alert (day and night) Water Vapor (day and night) Volcano Alert (day and night) Fog-Check. layer and clouds) may play an important role in extreme weather events, especially flood formation.

OBSERVATIONS OF CHANGE Water Vapor In the lower troposphere, condensation of water vapor into precipitation provides latent heating, which dominates the structure of tropospheric diabatic heating (Trenberth and Stepaniak, a,b).

There is indeed reason for vigilance, if not concern. According to Dessler, only about one-third of the warming predicted for the future will come directly from CO 2; the rest will result from feedback effects—like water vapor and clouds.“CO 2 is the big control knob,” Dessler said, “just like the guy playing guitar is making the music, but it’s the amplifier that makes it loud.

This volume presents a series of overview articles arising from a workshop exploring the links among shallow clouds, water vapor, circulation, and climate sensitivity.

It provides a state-of-the art synthesis of understanding about the coupling of clouds and water vapor to the large-scale circulation. Water Vapor. These maps show the average amount of water vapor in a column of atmosphere by month. Water vapor is the key precursor for rain and snow and one of the most important greenhouse gases in the atmosphere.

Atmosphere. A Multidecadal Satellite Record of Water Vapor, Temperature and Clouds Principal Investigator (PI): Eric Fetzer, NASA's Jet Propulsion Laboratory (JPL) The goal of this project is to create a record of all satellite sounder temperature and water vapor observations, matched to simultaneous, collocated imager cloud observations, on platforms.

Microwave-only observations from operational satellite sensors are less affected by clouds than are infrared observations so are less susceptible to cloud-induced changes in sampling. We will use microwave water vapor observations from recent operational microwave instruments, co-located with A-Train observations, to constrain trends in the A.

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Get this from a library. Shallow clouds, water vapor, circulation, and climate sensitivity. [Robert Pinucs;] -- This volume presents a series of overview articles arising from a workshop exploring the links among shallow clouds, water vapor, circulation, and climate sensitivity.

It provides a state-of-the art. Expert User Guidance. The following was contributed by Robert Pincus (University of Colorado), December, #In individual pixels MODIS reports cloud thermodynamic phase, cloud-top pressure, optical thickness, effective particle size (see Hansen and Travis, ) and, based on the two latter quantities, an estimate of the condensed water path.

Infrared, visible, and water vapor satellite images are available from GOES and GOES at three different domains each. Click on the desired product and domain to view the latest image. For loops click to open in a new tab.

Increasing water vapor leads to warmer temperatures, which causes more water vapor to be absorbed into the air. Warming and water absorption increase in a spiraling cycle. Based on climate variations between andthe energy trapped by water vapor is shown from southern to northern latitudes, peaking near the equator.

Cirrus clouds are significant regulators of the earth's radiation budget. Cirrus generally have low ice water content, leading to partial transparency to radiation, and a variety of ice crystal types constitutes the cloud. As a consequence, cirrus have complex optical qualities, which are discussed in other chapters of this book.

In this chapter, I discuss the appearance and behavior of the. Inthe U.S. Department of Energy started the Atmospheric Radiation Measurement Program (ARM) to characterize and improve atmospheric water vapor measurements (Revercomb et al.

).In doing so, a series of water vapor intensive observation periods (IOPs) have been designed at the Southern Great Plains (SGP) Cloud and Radiation Test Bed (CART) site. Clouds and water vapor are among the difficult features of the atmosphere for global climate models to simulate because they are affected by physical processes that operate over very small areas compared to the weather patterns that the models explicitly calculate.

The authors used satellite data to assess the representation of clouds and water vapor simulated by several climate models that. The importance of cirrus clouds in climate has been recognized in the light of a number of intensive composite field observations: the First ISCCP Regional Experiment (FIRE) I in October-November ; FIRE II in November-December ; the European experiment on cirrus (ICE/EUCREX) in ; Subsonic Aircraft: Contrail and Cloud Effect Special Study (SUCCESS) in April Based on.

Comparison of stratocumulus cloud modeling with satellite observations and in situ measurements. mixing ratio of water vapor, liquid water content, or liquid water path) were found to be less. Though water vapor makes up just 1 to 4 percent of the atmosphere, it is an important greenhouse gas.

It is also the basis for clouds and rainfall. Water vapor absorbs and re-emits energy in this range, so infrared satellite observations can be used to track water vapor. Such observations are integral to weather observations and forecasts.

About Sandwich. Sandwich RGB The benefit of the VIS/IR Sandwich RGB is that it combines the high spatial detail apparent of the visible channel (in this case band 3), with the temperature information of the IR (here, band 13).

Quick guide for this product linked below courtesy of EUMETRAIN. • For more details, see the Sandwich RGB Quick Guide, (PDF, KB). Water vapor in the atmosphere varies consid-erably in time and from place to place. These variations are related to both weather and climate.

Clouds are formed from water vapor. Water vapor is the primary greenhouse gas that helps control temperatures in the lower atmosphere. The interactions of water vapor. Latest integrated water vapor, cloud liquid water, and rain rate. GOES West Satellite Imagery» Infrared, visible, and water vapor satellite images.

AR Precipitation Observations».The low resolution of MWR humidity profiles can be compensated by collocated observations of ground-based water vapor differential absorption lidar (DIAL) (Spuler et al.

). Recently developed water vapor DIALs perform humidity profiling up to 3 km or to cloud base with 10% uncertainty.Two infrared views which display cloud temperature, one Water Vapor view that displays moisture in the upper atmosphere, and three views that show clouds and landscapes as they actually exist.

For more information on each view, select the question mark next to its name in the menu.