Comparison of objectively-analyzed SCM forcing fields with assimilated data from the June 1993 IOP for various siting scenarios

PDF Version Also Available for Download.

Description

The objective analysis method used for deriving Single-Column Model (SCM) forcing fields with ARM data has been evaluated for a variety of observation siting scenarios (Leach, et al., 1996). Our purpose was to assess the capability of the various siting scenarios to provide representative data for objective analysis and subsequent SCM forcing fields. That evaluation was performed with analytically prescribed input data, so that the results of the objective analysis could be compared with known analytic values. Here we extend that evaluation by using observed meteorological fields assimilated in a mesoscale model.

Physical Description

6 p.

Creation Information

Cederwall, R.T.; Leach, M.J.; Dudhia, J. & Parsons, D.B. March 1, 1997.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Sponsor

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Description

The objective analysis method used for deriving Single-Column Model (SCM) forcing fields with ARM data has been evaluated for a variety of observation siting scenarios (Leach, et al., 1996). Our purpose was to assess the capability of the various siting scenarios to provide representative data for objective analysis and subsequent SCM forcing fields. That evaluation was performed with analytically prescribed input data, so that the results of the objective analysis could be compared with known analytic values. Here we extend that evaluation by using observed meteorological fields assimilated in a mesoscale model.

Physical Description

6 p.

Notes

OSTI as DE98052183

Other: FDE: PDF; PL:

Source

  • Atmospheric research management science team meeting, San Antonio, TX (United States), 4-7 Mar 1997

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

  • Other: DE98052183
  • Report No.: UCRL-JC--128628
  • Report No.: CONF-970365--
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 591088
  • Archival Resource Key: ark:/67531/metadc689712

Collections

This article is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • March 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

Description Last Updated

  • April 6, 2017, 5:49 p.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 3

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Cederwall, R.T.; Leach, M.J.; Dudhia, J. & Parsons, D.B. Comparison of objectively-analyzed SCM forcing fields with assimilated data from the June 1993 IOP for various siting scenarios, article, March 1, 1997; California. (digital.library.unt.edu/ark:/67531/metadc689712/: accessed November 14, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.