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Earth Observing Laboratory
Field Data Archive

HVAMS: Hudson Valley Ambient Meteorology Study

Summary

For the last fifty years it has often been argued that studies of the lower atmosphere should concentrate on understanding the most elementary situations; we are to attack the more difficult problems later. Following this line, many projects continue to be set in unforested places with little topographic variation. With the rapid increase in quality and quantity of remote sensing imagery, many are proposing techniques to reduce surface boundary conditions to counting tiles in the appropriate mosaic. How will these approaches be tested? In this project, we turn deliberately to study this intermediate ground. We believe that many of the problems associated with the lack of horizontal homogeneity can be offset by the appearance of regular local winds, which make it easier to form useful composites.

This investigation of the Hudson Valley, New York intends to examine how local topography and land use patterns affect boundary layer dynamics under predominantly fair-weather conditions.

We believe that valley-induced circulations induce a diurnal regularity to boundary layer structure that allows patterns to be detected efficiently. That is, we have a better idea when to look and what to look for. Thus, while our primary focus is on the description of flows in the Hudson Valley, results of more general interest to boundary layer meteorology are likely to emerge from this work.

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Datasets from this project

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Temporal coverage

Begin Date 2003-09-04 00:00:00
End Date 2003-11-04 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 42.58, Minimum (South) Latitude: 41.98
Minimum (West) Longitude: -74.62, Maximum (East) Longitude: -74.10

NSF

This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.