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RSMAS UMCM NOGAPS Initial Condition Forecast Imagery

Project:

ITOP

Summary

This data set contains RSMAS UMCM model (using NOGAPS initial boundary conditions) forecast imagery over the Western Pacific Ocean. Products include 500mb height/RH, rain rate and sea level pressure, sea surface temperature and anomaly, significant wave height, and surface winds. Products are available every 6 hours to 120 hours. These images were developed by the University of Miami RSMAS and are in gif format.

Data access

ORDER data for delivery by FTP
Preview dataset (plots/images)

Additional information

Identifier	DOI: https://doi.org/10.26023/1PBW-ZEQD-4206
Data Quality	final
Versions	1.0 (2011-03-04)
Subscribe	Subscribe to receive email when new or updated data is available.
Related projects	ITOP: Impact of Typhoons on the Ocean in the Pacific
Spatial Type	raster
Frequency	daily
Language	English
Categories	Models/Analyses
Platforms	University of Miami Coupled Model - UMCM
Instruments	Computer
GCMD Science Keywords	GEOPOTENTIAL HEIGHT OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS PRECIPITATION RATE RELATIVE HUMIDITY SEA LEVEL PRESSURE SEA SURFACE TEMPERATURE SEA SURFACE TEMPERATURE ANOMALY SIGNIFICANT WAVE HEIGHT WEATHER RESEARCH/FORECAST MODELS WIND DIRECTION WIND DIRECTION WIND SPEED WIND SPEED Show 10 more... Expand keywords
Related links	info: ITOP 2010 Missions

Temporal coverage

Begin datetime	2010-08-03 00:00:00
End datetime	2010-10-18 23:59:59

Spatial coverage

Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 35.00, Minimum (South) Latitude: 0.00
Minimum (West) Longitude: 120.00, Maximum (East) Longitude: 160.00

Primary point of contact information

EOL Data Support <eol-datahelp@ucar.edu>

Additional contact information

author: Rosentiel School of Marine and Atmospheric Science (RSMAS), University of Miami

Citation

Example citation following ESIP guidelines:

Rosentiel School of Marine and Atmospheric Science (RSMAS), University of Miami. 2011. RSMAS UMCM NOGAPS Initial Condition Forecast Imagery. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/1PBW-ZEQD-4206. Accessed 28 Jun 2022.

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