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...

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Main Authors: Moore, Kathleen E., Ritter, John A., Fitzjarrald, David R.
Format: Other/Unknown Material
Language:unknown
Published: 1992
Subjects:
Online Access:http://hdl.handle.net/2060/19920010802
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:19920010802 2023-05-15T18:40:32+02:00 How well can regional fluxes be derived from smaller-scale estimates? Moore, Kathleen E. Ritter, John A. Fitzjarrald, David R. Unclassified, Unlimited, Publicly available Mar 19, 1992 application/pdf http://hdl.handle.net/2060/19920010802 unknown Document ID: 19920010802 Accession ID: 92N20044 http://hdl.handle.net/2060/19920010802 No Copyright CASI GEOPHYSICS NASA-CR-190056 NAS 1.26:190056 1992 ftnasantrs 2019-07-21T09:01:02Z 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 GEOPHYSICS
spellingShingle GEOPHYSICS
Moore, Kathleen E.
Ritter, John A.
Fitzjarrald, David R.
How well can regional fluxes be derived from smaller-scale estimates?
topic_facet GEOPHYSICS
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.
Ritter, John A.
Fitzjarrald, David R.
author_facet Moore, Kathleen E.
Ritter, John A.
Fitzjarrald, David R.
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 1992
url http://hdl.handle.net/2060/19920010802
op_coverage Unclassified, Unlimited, Publicly available
genre Tundra
Alaska
genre_facet Tundra
Alaska
op_source CASI
op_relation Document ID: 19920010802
Accession ID: 92N20044
http://hdl.handle.net/2060/19920010802
op_rights No Copyright
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