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2 edition of Upper-tropospheric winds derived from geostationary satellite water vapor observations found in the catalog.

Upper-tropospheric winds derived from geostationary satellite water vapor observations

Upper-tropospheric winds derived from geostationary satellite water vapor observations

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Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Imaging techniques.,
  • Remote sensing.,
  • Satellite observation.,
  • Troposphere.,
  • Velocity distribution.,
  • Water vapor.

  • Edition Notes

    Other titlesUpper tropospheric winds derived from geostationary satellite water vapor observations
    StatementChristopher S. Velden ... [et al.].
    SeriesNASA contractor report -- NASA CR-207433.
    ContributionsVelden, Christopher S., United States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL17128723M

      The upper level wind field divergence in tropical convective cloud systems is directly inferred from satellite tracked Atmospheric Motion Vectors (AMVs) using successive images at 15 minute intervals in the water vapor channel ( μm) of Meteosat‐8. The use of radiances in the strongly absorbing μm channel confines the feature tracking to the upper troposphere, enabling the . T1 - An assessment of satellite and radiosonde climatologies of upper-tropospheric water vapor. AU - Soden, Brian J. AU - Lanzante, John R. PY - /6. Y1 - /6. N2 - This study compares radiosonde and satellite climatologies of upper-tropospheric water vapor for the period Cited by: The UW-CIMSS satellite-derived wind algorithm (Velden et al. , ) is implemented here in a way that captures high-density mesoscale flow patterns. W. P. Menzel, S. Wanzong, and J. S. Goerss, Upper-tropospheric winds derived from geostationary satellite water vapor observations. Bull. Amer. Meteor. Soc., 78, show that the model simulates upper-tropospheric moisture observations better than would be inferred from a traditional geographical comparison. The upper-tropospheric moisture simulation is compared to upper-tropo-spheric moisture derived from Geostationary Operational Environmental Satellite mm observations for Sep-tember

    Upper-tropospheric winds derived from geostationary satellite water vapor observations CS Velden, CM Hayden, SJW Nieman, W Paul Menzel, S Wanzong, Bulletin of the American Meteorological Society 78 (2), ,


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Upper-tropospheric winds derived from geostationary satellite water vapor observations Download PDF EPUB FB2

Upper-tropospheric motions derived from sequential water vapor imagery provided by these satellites can be objectively extracted by automated techniques. Wind fields can be deduced in both cloudy and cloud-free by: operative Institute for Meteorological Satellite Studies (CIMSS) has progressed to the stage of operational implementation (Nieman et al.

In collaboration with the National Oceanic and Atmospheric Admin-istration (NOAA) National Environmental Satellite Upper-Tropospheric Winds Derived from Geostationary Satellite Water Vapor Observations.

Get this from a library. Upper-tropospheric winds derived from geostationary satellite water vapor observations. [Christopher S Velden; United States. National Aeronautics and Space Administration.;]. The addition of a water vapor sensing channel on the latest GMS permits nearly global viewing of upper-tropospheric water vapor (when joined with GOES and Meteosat) and enhances the commonality of geostationary meteorological satellite observing capabilities.

Upper-tropospheric motions derived from sequential water vapor imagery provided by these satellites can be objectively extracted by automated techniques. Wind fields can be deduced in both cloudy and cloud-free by: The GOES-8/9 water vapor imaging capabilities have increased as a result of improved radiometric sensitivity and higher spatial resolution.

The addition of a water vapor sensing channel on the latest GMS permits nearly global viewing of upper-tropospheric water vapor (when joined with GOES and Meteosat) and enhances the commonality of geostationary meteorological satellite observing.

A new approach is presented to quantify upper-level moisture transport from geostationary satellite data. Daily time sequences of GOES-7 water vapor imagery were used to produce estimates of winds. geostationary satellite data. The method combines water vapor winds and upper-level humidity derived from Geostationary Operational Environmental Satellite (GOES) Visible Infrared Spin-Scan Radiometer At-mospheric Sounder (VAS) data to contrast water vapor transport between the summers of and This.

wind fields that correspond to the water vapor layers. the determination of winds in cloud-free regions also. tropospheric winds operationally from the observations from Indian geostationary satellites.

made in India to derive water vapor winds ( hPa) from Indian geo-stationary satellites. Satellite Derived Winds Publications and Conference Proceedings: W. Menzel, S. Wanzong, and J. Goerss, Upper-Tropospheric Winds Derived from Geostationary Satellite Water Vapor Observations. Bull. Amer. Investigation of Water Vapor Motion Winds from Geostationary Satellites.

Preprints, 7th Conf. Satellite Meteor. and. Space-Based Observations of Upper Tropospheric and Lower Stratospheric Water Vapor Profiles Karen Rosenlof1, Amin Nehrir2, Thierry Leblanc3, Troy Thornberry4, Dale Hurst4, Richard Ferrare2, Glenn Diskin2 1National Oceanic and Atmospheric Administration 2NASA Langley Research Center 3 Jet Propulsion Laboratory.

Upper-level water vapor and infrared AMVs are utilized to monitor the atmospheric motion in the middle and upper troposphere, typically between mb and mb (explanation of heights).

by tracking gradients in a sequence of water vapor imagery and cloud edges in infrared imagery. Tropospheric motions deduced from sequential water vapor imagery provided by geostationary meteorological satellites can be utilized to infer wind fields.

Temporal tracking of moisture features yields spatially coherent vector fields in both cloudy and cloud-free by: [1] The upper level wind field divergence in tropical convective cloud systems is directly inferred from satellite tracked Atmospheric Motion Vectors (AMVs) using successive images at 15 minute intervals in the water vapor channel ( μm) of Meteosat‐8.

The use of radiances in the strongly absorbing μm channel confines the feature tracking to the upper troposphere, enabling the derivation of consistent wind by: 6. Tropospheric winds. Tropospheric winds can be estimated from atmospheric motion vectors, which are derived by tracking the displacement of clouds or water vapor in a sequence of images taken from meteorological satellites.

The use of geo-stationary water vapor imagery has allowed the determination of both upper-level moisture content and the wind fields that correspond to the water vapor layers. Water vapor images from geostationary satellite allow the determination of winds in cloud-free regions also. The main aim of this study is to derive upper tropospheric winds operationally from the observations from Indian.

First we compare radiosonde and Raman lidar observations of upper tropospheric water vapor with colocated geostationary satellite radiances at mm. During all four IOPs we find excellent agreement between the satellite and Raman lidar observations of upper tropospheric humidity with systematic differences of 10%.

In contrast, radiosondes. Upper-tropospheric motions derived from sequential water vapor imagery provided by these satellites can be objectively extracted by automated techniques.

Wind fields can be deduced in both cloudy and cloud-free environments. In addition to the spatially coherent nature of these vector fields, the GOES-8/9 multispectral water vapor sensing capabilities allow for determination of wind fields over multiple tropo.

Figure shows contours of derived upper tropospheric relative humidity superimposed over the VAS micron brightness temperature images. In this case, the narrow band of moist upper tropospheric air stretching across northern Missouri is the southern boundary of an upper tropospheric jet core (this was shown in Figure ).File Size: 2MB.

In addition, GOES water vapor–derived winds (WVDW) were used to estimate upper-tropospheric winds near mb with a temporal sampling of 30 min (Rabin et al.

of utilizing infrared satellite observations to retrieve upper tropospheric humidity. A simple radiance-to-UTH relation-ship was first derived by Soden and Bretherton (), indi-cating that the clear sky brightness temperature measured at a strong water vapor absorption line is proportional to the nat-Cited by: 5.

[19] We use radiance measurements in the μm water vapor channel from the Geostationary Operational Environmental Satellite (GOES 8) to provide a common benchmark for intercomparison with the ARM measurements of upper tropospheric water vapor.

The high space (4 km) and time (30 min) sampling of the geostationary radiances facilitates their Cited by: AMVs for both cloud-motion and water vapor-motion, derived from hyperspectral imagery, will have improved velocity resolution relative to AMVs obtained from multi-spectral instruments operating in GEO.

MISTiC’s extraordinarily small size, low mass. Water vapor (WV) is one of the main greenhouse gases which has a significant contribution related to climate and weather changes 1, to its large concentration in Author: Anton Leontiev, Yuval Reuveni, Yuval Reuveni.

August. The Meteosat-5 derived water vapor upper level winds are shown in figure-2(a,b,c and d) 29 and 30 july at 06 UTC.

These winds clearly show the steering effect on weather system and likely movement of the depression over land. Under the influence of deep depression, widespread rainfall with isolated heavy to very. Multiyear satellite measurements of specific humidity at mbar from the Microwave Limb Sounder aboard the Upper Atmosphere Research Satellite and cloud amount from the International Satellite Cloud Climatology Project have been used to investigate seasonal variations of upper tropospheric water vapor (UTWV), high clouds, and deep by: INVESTIGATION OF WATER VAPOR MOTION WINDS FROM GEOSTATIONARY SATELLITES Christopher S.

Velden*, Steven J. Nieman and Steven Wanzong ^ the impact of the water vapor data on upper-tropospheric forecasts in general can best be described as assimilation experiments with satellite-derived wind by: 1.

This study shows satellite observations and new findings on the time and spatial distribution of the Total Precipitable Water (TPW) column over the Mediterranean Sea throughout the year. Annual evolution and seasonality of the TPW column are shown and compared to the estimated net evaporation over the Mediterranean Sea.

Daily spatiotemporal means are in good agreement with previous short-term Cited by: 1. In order to explore the use of satellite winds over land, an automated method for calculating water vapour winds, developed at the Cooperative Institute for Meteorological Satellite Studies, CIMSS (Velden et al., ), is being applied to geostationary satellite imagery on an experimental basis in the U.S.

Derived wind fields are being made. feedback due to upper-tropospheric water vapor (H 2 O), whereby a change in climate state changes water vapor, which is the primary greenhouse gas (Held and Soden ). This increase in water vapor then further changes the climate state by enhancing the greenhouse effect of water vapor.

This is often simply called the “water vapor feedback.”. Observations of wind direction by automated analysis of images from Mars and the MSL rover S.

Wanzong, J. GoerssUpper-tropospheric winds derived from geostationary satellite water vapor observations. Bulletin of the American Meteorological Society, 78 (), pp.

Cited by: 3. Because of the vertical weighting of the water vapor winds, the derived quantities such as divergence and vorticity represent vertical averages centered near hPa. Caution should be observed in interpreting the kinematic properties near dry areas where no satellite winds.

Low/Mid-Level Infrared AMV Background: Atmospheric Motion Vectors are derived using a sequence of three images. Features are targeted in the second image (cirrus cloud edges, gradients in water vapor, small cumulus clouds, etc.) are tracked within the first and.

Upper tropospheric water vapor from GEOS reanalysis and UARS MLS observation Minghang Chen and Richard B. Rood NASA Goddard Space Flight Center, Greenbelt, Maryland William G.

Read Jet Propulsion Laboratory, Pasadena, California Abstract. The upper tropospheric water vapor (UTWV) from the reanalysis produced by. Satellite Observations of Atmospheric Water Vapor Stefan Buehler Luleå University of Technology Kiruna Satellite H 2O Observations Passive Active MM-Wave UV/Vis Down Occul-tation IR Down AMSU Limb MLS Down Biases in satellite infra-red estimates of upper tropospheric humidity and its trends, J.

Geophys. Res. Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites. [Johannes Schmetz; United States.

# Satellite observation\/span> \u00A0\u00A0\u00A0 schema. P UW-CIMSS SATELLITE WINDS ALGORITHM Gail A. Dengel*, C.S.

Velden, T.L. Olander, D.A. Santek, and D.R. Stettner CIMSS/Univ. of Wisconsin, Madison, WI 1. INTRODUCTION Tracking cloud motions from geostationary meteorological satellites has become an important source of global tropospheric wind information.

The first satellite with an onboard camera capable of continuous Earth viewing from a geostationary orbit was launched on December 6, On that day, the Applications Technology Satellite (ATS-1) was placed in an equatorial orbit at 38, km with an orbit period of 24 h; part of its payload was the Spin Scan Cloud Camera (SSCC, Suomi and Parent, ) that provided full-disk visible images Author: W.

Paul Menzel. usefulness of the satellite-derived wind data on weather analysis and forecasting (Velden et al.). Although the satellite derived cloud and water vapor radiance-tracked winds have been shown to improve numerical weather prediction forecasts on both regional and global scales (Soden et al.

; Goerss et al. ), a deficiency exists in. Since even cirrus clouds are opaque at μm, only clear sky pixels can be used for the analysis of upper tropospheric water vapor. The atmospheres above low cloud areas can be used also, as the low clouds belong to the lower troposphere, that is, an area beyond the μ m channel sensitivity and not interfering with this : J.

Dim, T. Nakajima, T. Takamura, N. Kikuchi. Satellite Derived Mid- Upper Level Winds Cegeon Chan W. Paul Menzel, Steven Wanzong, James S. Goerss, Upper-Tropospheric Winds Derived from Geostationary Satellite Water Vapor Observations.

Bulletin of the American Meteorological Society: Vol. 78, No. 2, pp. – Convert measured radiance into Brightness Temperature This value is.Introduction. Water vapor (WV) is one of the main greenhouse gases which has a significant contribution related to climate and weather changes 1, to its large concentration in the atmosphere 3, WV plays a key role in the greenhouse effect as it repetitively cycles through evaporation and condensation, transporting heat energy around the Earth and between the surface and the atmosphere : Anton Leontiev, Yuval Reuveni, Yuval Reuveni.HIGH-RESOLUTION SATELLITE-DERIVED WIND FIELDS PE () Jeffrey D.

Hawkins Near real-time low-level cloud and upper-level water vapor winds are being created tropospheric winds derived from geostationary satellite water vapor observations, Bull. Amer. Meteor.