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Showing 1 - 10 of 490 results
 
The AEWC dataset was created using a new algorithm developed by researchers at Georgia Tech and represents the first attempt to produce a standard easterly wave tracking dataset for the East Pacific, Atlantic, and Africa. The algorithm uses curvature vorticity anomalies to identify the location   ...  
http://www.ncdc.noaa.gov
Since the early 1990s the Global Historical Climatology Network-Monthly (GHCN-M) dataset has been an internationally recognized source of data for the study of observed variability and change in land surface temperature. It provides monthly mean temperature data for 7280 stations from 226 countri  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7B84794CEE-503C-4498-BC22-355761A89ACA%7D
This dataset contains the Level 3 Polar Winds Northern and Southern Hemisphere datasets. The Level 3 Polar Winds data from VIIRS for the Arctic and Antarctic from 65 degrees latitude poleward. Tropospheric winds are measured by tracking the motion of cloud features in the overlapping region of th  ...  
http://www.star.nesdis.noaa.gov/star/index.php
The historical Merged Land-Ocean Surface Temperature Analysis (MLOST) is derived from two independent analyses, an Extended Reconstructed Sea Surface Temperature (ERSST) analysis and a land surface temperature (LST) analysis using the Global Historical Climatology Network (GHCN) temperature datab  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7B10199871-C482-475B-9CC0-50EFC3E2950D%7D
The US Environmental Protection Agency - Western Ecology Division (EPA) has been monitoring above- and belowground climate data from 23 locations along an Oregon Cascade Mountain Crest-to-Coast transect since 1993. The start date for the sites varied over a several year period. The monitoring sit  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7B9D3B12BD-CE2C-40F4-8FF2-09A16C67484A%7D
U.S. 15 Minute Precipitation Data is digital data set DSI-3260, archived at the National Climatic Data Center (NCDC). This is precipitation data. The primary source of data for this file is approximately 2,000 mostly U.S. weather stations operated or managed by the U.S. National Weather Service.   ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7B29335042-B6BD-4080-8214-7F345CDF1F0F%7D
The US Voluntary Observing Ships (VOS) report surface marine observations in both real-time (FM-13 ship format) and delayed-mode (International Maritime Meteorological Tape - IMMT format). To do this, most operating vessels use e-logbook software that allows an observer to enter information, then  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7BA55BFE04-88E7-4F5C-9C59-6BD11579F51E%7D
The US Voluntary Observing Ships (VOS) report surface marine observations in both real-time (FM-13 ship format) and delayed-mode (International Maritime Meteorological Tape - IMMT format). To do this, most operating vessels use e-logbook software that allows an observer to enter information, then  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7BB5313D40-9397-4FF3-93A5-398534CFCAD2%7D
The US Voluntary Observing Ships (VOS) report surface marine observations in both real-time (FM-13 ship format) and delayed-mode (International Maritime Meteorological Tape - IMMT format). To do this, most operating vessels use e-logbook software that allows an observer to enter information, then  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7BF0831956-E36E-42D4-9C7D-0F28829CBBDD%7D
The Global Hourly Summaries are simple indicators of observational normals which include climatic data summarizations and frequency distributions. These typically are statistical analyses of station data over 5-, 10-, 20-, 30-year or longer time periods. In a GIS map service, the results of these  ...  
http://gis.ncdc.noaa.gov/geoportal/catalog/search/viewMetadataDetails.page?uuid=%7B9B81CA09-4686-4DD0-940A-A4996D2069A4%7D

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