20190416 11014900 1.0 TRUE <p>This point layer contains monthly summaries of daily temperatures (means, minimums, and maximums) and precipitation levels (sum, lowest, and highest) for the period January 1981 through December 2010 for weather stations in the Global Historical Climate Network Daily (GHCND). Data in this service were obtained from web services hosted by the Applied Climate Information System ( ACIS). ACIS staff curate the values for the U.S., including correcting erroneous values, reconciling data from stations that have been moved over their history, etc.&nbsp;</p><div>&nbsp;</div><div>The data were compiled at Esri from publicly available sources hosted and administered by NOAA. Because the ACIS data is updated and corrected on an ongoing basis, the date of collection for this layer was Jan 23, 2019. The following process was used to produce this dataset:</div><div>&nbsp;</div><div><ol><li>Download the most current list of stations from ftp.ncdc.noaa.gov/pub/data/ghcn/daily/ghcnd-stations.txt. Import this into Microsoft Excel and save as CSV. In ArcGIS, import the CSV as a geodatabase table and use the XY Event layer tool to locate each point. Using a detailed U.S. boundary extract the points that fall within the 50 U.S. States, the District of Columbia, and Puerto Rico.&nbsp;</li><li>Using Python with DA.UpdateCursor and urllib2 access the ACIS Web Services API to determine whether each station had at least 50 monthly values of temperature data for each station. Delete the other stations. Using Python add the necessary field names and acquire all monthly values for the remaining stations. Thus, there are stations that have some missing data.&nbsp;</li><li>Using Python Add fields and convert the standard values to metric values so both would be present. Thus, there are four sets of monthly data in this dataset:&nbsp;</li></ol><ul><li>Monthly means, mins, and maxes of daily temperatures - degrees Fahrenheit.&nbsp;</li><li>Monthly mean of monthly sums of precipitation and the level of precipitation that was the minimum and maximum during the period 1981 to 2010 - mm.&nbsp;</li><li>Temperatures in 3a. in degrees Celcius.&nbsp;</li><li>Precipitation levels in 3b in Inches.&nbsp;</li></ul><p>After initially publishing these data in a different service, it was learned that more precise coordinates for station locations were available from the Enhanced Master Station History Report (EMSHR) published by NOAA NCDC. With the publication of this layer these most precise coordinates are used. A large subset of the EMSHR metadata is available via&nbsp;<a target='_blank' href='https://www.arcgis.com/home/item.html?id=1caebdcc34b74ccba8826413ad1a6cb4' rel='nofollow ugc noopener noreferrer'>EMSHR Stations Locations and Metadata 1738 to Present</a>.&nbsp;</p></div><div>&nbsp;</div><div>If your study area includes areas outside of the U.S., use the&nbsp;<a target='_blank' href='https://www.arcgis.com/home/item.html?id=ed59d3b4a8c44100914458dd722f054f' rel='nofollow ugc noopener noreferrer'>World Historical Climate - Monthly Averages for GHCN-D Stations 1981 - 2010</a>&nbsp;layer. The data in this layer come from the same source archive, however, they are not curated by the ACIS staff and may contain errors.&nbsp;</div><div>&nbsp;</div><div><strong>Revision History:</strong>&nbsp;</div><div><ul><li>Initially Published: 23 Jan 2019&nbsp;</li><li>Updated 16 Apr 2019 - We learned more precise coordinates for station locations were available from the Enhanced Master Station History Report (EMSHR) published by NOAA NCDC. With the publication of this layer the geometry and attributes for 3,222 of 9,636 stations now have more precise coordinates. The schema was updated to include the NCDC station identifier and elevation fields for feet and meters are also included. A large subset of the EMSHR data is available via&nbsp;<a target='_blank' href='https://www.arcgis.com/home/item.html?id=1caebdcc34b74ccba8826413ad1a6cb4' rel='nofollow ugc noopener noreferrer'>EMSHR Stations Locations and Metadata 1738 to Present</a>.&nbsp;</li></ul><p><strong>Cite as:</strong>&nbsp;</p></div><div>Esri, 2019: U.S. Historical Climate - Monthly Averages for GHCN-D Stations for 1981 - 2010. ArcGIS Online, Accessed &lt;date&gt;.&nbsp;<a target='_blank' href='https://www.arcgis.com/home/item.html?id=b8df6517ceac42af9ab483089296ed04' rel='nofollow ugc noopener noreferrer'>https://www.arcgis.com/home/item.html?id=b8df6517ceac42af9ab483089296ed04</a>&nbsp;</div><div>&nbsp;</div><div><strong>Sources:</strong>&nbsp;</div><div><ul><li>Sources data for station locations:&nbsp;<ul><li>Russell S. Vose, Shelley McNeill, Kristy Thomas, Ethan Shepherd (2011): Enhanced Master Station History Report of March 2019. NOAA National Climatic Data Center. Accessed April 10, 2019. doi:10.7289/V5NV9G8D.&nbsp;</li><li>Menne, M.J., I. Durre, B. Korzeniewski, S. McNeal, K. Thomas, X. Yin, S. Anthony, R. Ray, R.S. Vose, B.E.Gleason, and T.G. Houston, 2012: Global Historical Climatology Network - Daily (GHCN-Daily), Version 3. [indicate subset used following decimal, e.g. Version 3.24]. Accessed online on 1/18/2019 at ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/ghcnd-stations.txt&nbsp;</li></ul></li><li>Source for monthly averages for precipitation and temperature: Applied Climate Information System (ACIS). ACIS Web Services API: Accessed 1/18/2019 at https://www.rcc-acis.org/docs_webservices.html. The Applied Climate Information System (ACIS) was developed and is maintained by the NOAA Regional Climate Centers (RCCs). It was designed to manage the complex flow of information from climate data collectors to the end users of climate data information. The main purpose of ACIS is to alleviate the burden of climate information management for people who use climate information to make management decisions.</li></ul></div> PrecipitationTemperatureClimateMonthlyearth observationslandscape Historical U.S. Monthly Average Temperature and Precipitation from Global Historical Climate Network - Daily (GHCN-D) from 1981 through 2010. Esri, GHCND, and ACIS <div><img alt='' src='https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png' /> This work is licensed under the Esri Master License Agreement.<br /><div><a href='https://goto.arcgis.com/termsofuse/viewsummary' target='_blank'><b>View Summary</b></a> | <a href='https://goto.arcgis.com/termsofuse/viewtermsofuse' target='_blank'><b>View Terms of Use</b></a></div><br /></div> -179.9999885408437-52.3963360422692271.3212999999976316.01750386727866 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