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by Grant A. Cooper

  • ISBN: 1423507800
  • Category: No category
  • Author: Grant A. Cooper
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  • Language: English
  • Publisher: Storming Media (2002)
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Download Variational Retrieval of Eastern Pacific Atmospheric Boundary Layer Parameters Using ATOVS With the COAMPS Mesoscale Forecast System fb2

Navy Fifth Fleet, Bahrain} Part I: Information Content and Retrieval Error Sensitivity To investigate the ability of an operational IR and MW atmospheric sounding system to contribute information to a mesoscale NWP system. within the summertime eastern Pacific (EPAC) environment.

Mesoscale Forecast System. 1DVAR profile temperature and humidity retrievals using both simulated and actual ATOVS observations constrained by the COAMPS™ short-term forecasts and synoptically relevant background errors

Mesoscale Forecast System. 1DVAR profile temperature and humidity retrievals using both simulated and actual ATOVS observations constrained by the COAMPS™ short-term forecasts and synoptically relevant background errors. The time period of interest coincided with the Dynamics and Chemistry of Marine Stratocumulus (DYCOMS) Phase II field study (July 2001). Transmittance AMSU-A ch 1 AMSU-A ch 2 AMSU-A ch 3-14 AMSU-A ch 15 AMSU-B ch 1 AMSU-B ch 2 AMSU-B ch 3 - 5. ATOVS Channels. 15-13 N2 CO2 W. HIRS/3 channel.

Variational Retrieval of Eastern Pacific Atmospheric Boundary Layer Parameters Using ATOVS With th. .For this basin geometry the flow is mainly confined to the shelf, although a parameter regime is identified that supports significant flow in the deep basin.Cooper, Grant . IV. A one-dimensional variational (1DVAR) retrieval scheme is used to investigate the ability of the Advanced TIROS Operational Vertical Sounder (ATOVS) to contribute information to a mesoscale NWP system within tbe summertime Eastern Pacific (EPAC) environment.

The COAMPS mesoscale model used i.

The COAMPS mesoscale model used in. the present study is described in Hodur (1997). The model is nonhydrostatic and uses multiple.

Physical retrieval of atmospheric profiles from satellite observations is.

Physical retrieval of atmospheric profiles from satellite observations is sensitive to the uncertainty o.Compared with the regular temperature profile retrievals from the Atmospheric InfraRed Sounder (AIRS), the ensemble retrievals RMSE of temperature profiles selected by the PDF was reduced between 150 and 320 hPa and below 400 hPa, with a maximum improvement of . K at 400 hPa. The bias was also reduced in many layers, with a maximum improvement of . 9 K at 460 hPa. The combined optimal (CombOpt) profile and a mean optimal (MeanOpt) profile of all ensemble physical results were improved below 150 hPa.

Atmospheric Boundary Layer Response to Mesoscale SST Anomalies. for the retrieval of MABL moisture and temperature from space. The COAMPS inner domain is shown in Fig. 1 labeled with points of interest and geographical locations mentioned in the text. Marine boundary layer clouds at the heart of tropical. 1. Introduction and background internal and external platinum resistance temperature. The vertical grid distribution includes 30 levels with a minimum spacing of 10 m at the surface, 11 levels below . km, and the model top at ~31 km.

In meteorology, the planetary boundary layer (PBL), also known as the atmospheric boundary layer (ABL) or peplosphere, is the lowest part of the atmosphere and its behaviour is directly influenced by its contact with a planetary surface

In meteorology, the planetary boundary layer (PBL), also known as the atmospheric boundary layer (ABL) or peplosphere, is the lowest part of the atmosphere and its behaviour is directly influenced by its contact with a planetary surface. On Earth it usually responds to changes in surface radiative forcing in an hour or less.

Atmospheric boundary layers - nature theory and applications to environmental modelling and security. 2. Some modern features of boundary-layer meteorology - a birthday tribute for Sergej Zilitinkevich. Currently-used ux-prole relationships determining the lower boundary conditions in both mesoscale and larger scale models need to be rened.

HighResolution Marine Wind Retrieval Using Synthetic Canada Aperture Radar. Analysis of Relative Dynamics of Different Cycles with the Use of Phase Portraits. Forward Modelling of Ground Based GPS Slant Total Delay Observations. C. Gebhardt, T. Ochotta, D. Saupe, W. Wergen. Assimilation of ATOVS Level1c Radiance Data at JMA. Japan. M. Kazumori, Y. Nakamura. Parallel Atmospheric General Circulation Model Code Analysis and Optimization. Numerical Solution of the fusion Equation on the Sphere.

This is a NAVAL POSTGRADUATE SCHOOL MONTEREY CA report procured by the Pentagon and made available for public release. It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A119604. The abstract provided by the Pentagon follows: A one-dimensional variational (1DVAR) retrieval scheme is used to investigate the ability of the Advanced TIROS Operational Vertical Sounder (ATOVS) to contribute information to a mesoscale NWP system within tbe summertime Eastern Pacific (EPAC) environment. Tbis system is the Coupled Ocean - Atmospbere Mesoscale Prediction System (COAMPS) and the Naval Research Laboratory (NRL) Atmospberic Variational Data Assimilation System (NAVDAS). Analyses of information content and retrieval performance sbow that, when treated optimally, significant humidity and temperature information can be derived from ATOVS retrievals within the clear and cloudy sky summertime EPAC environment. A study of retrieval error sensitivity to representative background slate vector elements and associated errors was also conducted to establish the a priori elements critical for successful 1DVAR retrievals. 1DVAR profile temperature and humidity retrievals were generated using both simulated and actual ATOVS observations constrained by the COAMPS sbort-term forecasts and a synoptically relevant background error covariance matrix. The time period of interest coincides with the DYCOMS Phase II field study. The 1DVAR retrieval results indicate that ATOVS observations can provide information that, when used in concert with a COAMPS background field, reduce the retrieval error and adjust the retrieval within the shallow boundary layer toward the designawd "true" profile.

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