How well can regional fluxes be derived from smaller-scale estimates?

Regional surface fluxes are essential lower boundary conditions for large scale numerical weather and climate models and are the elements of global budgets of important trace gases. Surface properties affecting the exchange of heat, moisture, momentum and trace gases vary with length scales from one...

Full description

Bibliographic Details
Main Authors: Moore, Kathleen E., Fitzjarrald, David R., Ritter, John A.
Format: Other/Unknown Material
Language:unknown
Published: 1993
Subjects:
47
Online Access:http://ntrs.nasa.gov/search.jsp?R=19930050685
id ftnasantrs:oai:casi.ntrs.nasa.gov:19930050685
record_format openpolar
spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19930050685 2023-05-15T18:40:33+02:00 How well can regional fluxes be derived from smaller-scale estimates? Moore, Kathleen E. Fitzjarrald, David R. Ritter, John A. Unclassified, Unlimited, Publicly available April 20, 1993 http://ntrs.nasa.gov/search.jsp?R=19930050685 unknown http://ntrs.nasa.gov/search.jsp?R=19930050685 Accession ID: 93A34682 Copyright Other Sources 47 Journal of Geophysical Research; 98; D4; p. 7187-7198. 1993 ftnasantrs 2012-02-15T20:07:10Z Regional surface fluxes are essential lower boundary conditions for large scale numerical weather and climate models and are the elements of global budgets of important trace gases. Surface properties affecting the exchange of heat, moisture, momentum and trace gases vary with length scales from one meter to hundreds of km. A classical difficulty is that fluxes have been measured directly only at points or along lines. The process of scaling up observations limited in space and/or time to represent larger areas was done by assigning properties to surface classes and combining estimated or calculated fluxes using an area weighted average. It is not clear that a simple area weighted average is sufficient to produce the large scale from the small scale, chiefly due to the effect of internal boundary layers, nor is it known how important the uncertainty is to large scale model outcomes. Simultaneous aircraft and tower data obtained in the relatively simple terrain of the western Alaska tundra were used to determine the extent to which surface type variation can be related to fluxes of heat, moisture, and other properties. Surface type was classified as lake or land with aircraft borne infrared thermometer, and flight level heat and moisture fluxes were related to surface type. The magnitude and variety of sampling errors inherent in eddy correlation flux estimation place limits on how well any flux can be known even in simple geometries. Other/Unknown Material Tundra Alaska NASA Technical Reports Server (NTRS)
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic 47
spellingShingle 47
Moore, Kathleen E.
Fitzjarrald, David R.
Ritter, John A.
How well can regional fluxes be derived from smaller-scale estimates?
topic_facet 47
description Regional surface fluxes are essential lower boundary conditions for large scale numerical weather and climate models and are the elements of global budgets of important trace gases. Surface properties affecting the exchange of heat, moisture, momentum and trace gases vary with length scales from one meter to hundreds of km. A classical difficulty is that fluxes have been measured directly only at points or along lines. The process of scaling up observations limited in space and/or time to represent larger areas was done by assigning properties to surface classes and combining estimated or calculated fluxes using an area weighted average. It is not clear that a simple area weighted average is sufficient to produce the large scale from the small scale, chiefly due to the effect of internal boundary layers, nor is it known how important the uncertainty is to large scale model outcomes. Simultaneous aircraft and tower data obtained in the relatively simple terrain of the western Alaska tundra were used to determine the extent to which surface type variation can be related to fluxes of heat, moisture, and other properties. Surface type was classified as lake or land with aircraft borne infrared thermometer, and flight level heat and moisture fluxes were related to surface type. The magnitude and variety of sampling errors inherent in eddy correlation flux estimation place limits on how well any flux can be known even in simple geometries.
format Other/Unknown Material
author Moore, Kathleen E.
Fitzjarrald, David R.
Ritter, John A.
author_facet Moore, Kathleen E.
Fitzjarrald, David R.
Ritter, John A.
author_sort Moore, Kathleen E.
title How well can regional fluxes be derived from smaller-scale estimates?
title_short How well can regional fluxes be derived from smaller-scale estimates?
title_full How well can regional fluxes be derived from smaller-scale estimates?
title_fullStr How well can regional fluxes be derived from smaller-scale estimates?
title_full_unstemmed How well can regional fluxes be derived from smaller-scale estimates?
title_sort how well can regional fluxes be derived from smaller-scale estimates?
publishDate 1993
url http://ntrs.nasa.gov/search.jsp?R=19930050685
op_coverage Unclassified, Unlimited, Publicly available
genre Tundra
Alaska
genre_facet Tundra
Alaska
op_source Other Sources
op_relation http://ntrs.nasa.gov/search.jsp?R=19930050685
Accession ID: 93A34682
op_rights Copyright
_version_ 1766229942572417024