--- - access_dt: 2013-11-07T00:00:00 attributes: 'position, maximum sustained winds, minimum central pressure, storm name, radius of maximum winds, radius of outermost closed isobar' cite_metadata: 'Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying tropical cyclone best track data. Bulletin of the American Meteor. Society, 91, 363-376. non-gonvernment domain doi:10.1175/2009BAMS2755.1' data_qualifier: ~ description: 'The International Best Track Archive for Climate Stewardship (IBTrACS) dataset was developed by The NOAA National Climatic Data Center, which took the initial step of synthesizing and merging best track data from all official Tropical Cyclone Warning Centers (TCWCs) and the WMO Regional Specialized Meteorological Centers (RSMCs) who are responsible for developing and archiving best track data worldwide. In recognizing the deficiency in global tropical cyclone data, and the lack of a publically available dataset, the IBTrACS dataset was produced, which, for the first time, combines existing best track data from over 10 international forecast centers. The dataset contains the position, maximum sustained winds, minimum central pressure, and storm nature for every tropical cyclone globally at 6-hr intervals in UTC. Statistics from the merge are also provided (such as number of centers tracking the storm, range in pressure, median wind speed, etc.). The dataset period is from 1848 to the present with dataset updates performed semi-annually--in the boreal spring following the completion of the Northern Hemisphere TC season and in the boreal autumn following the completion of the Southern Hemisphere TC season. The dataset is archived as netCDF files but can be accessed via a variety of user-friendly formats to facilitate data analysis, including netCDF, Shapefile, and CSV formatted files. The update to version 3 data includes new data sources, bug fixes, shapefile-support, discontinued support of ASCII and new variables.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-ibtracs-r201311.yaml identifier: nca3-ibtracs-r201311 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: International Best Track Archive for Climate Stewardship (IBTrACS) native_id: ~ processing_level: ~ publication_year: 2010 release_dt: 2008-12-15T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 90.00; minimum_latitude: -90.00; maximum_longitude: 180.00; minimum_longitude: -180.00;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1945-01-01T00:00:00 2007-12-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-ibtracs-r201311 url: http://www.ncdc.noaa.gov/ibtracs/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Centers for Disease Control and Prevention: Long-Term Trends in Diagnosed Diabetes' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-long-term-trends-diagnosed-diabetes-r201110.yaml identifier: nca3-long-term-trends-diagnosed-diabetes-r201110 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Long-Term Trends in Diagnosed Diabetes native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-long-term-trends-diagnosed-diabetes-r201110 url: http://www.cdc.gov/diabetes/statistics/slides/long_term_trends.pdf variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'U.S. Department of Agriculture, Economic Research Service: Major uses of land, by region, State, and United States, 2007' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-major-uses-land-by-region-state-united-states-r1.yaml identifier: nca3-major-uses-land-by-region-state-united-states-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Summary table 1: Major uses of land, by region, State, and United States, 2007' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-major-uses-land-by-region-state-united-states-r1 url: http://www.ers.usda.gov/data-products/major-land-uses.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: Surface temperatures cite_metadata: 'Mann, M. E., Zhang, Z., Hughes, M. K., Bradley, R. S., Miller, S. K., Rutherford, S., & Ni, F., 2008: Proxy-based reconstructions of hemispheric and global surface temperature variations over the past two millennia. Proceedings of the National Academy of Sciences, 105(36), 13252-13257. doi: 10.1073/pnas.0805721105' data_qualifier: ~ description: 'Following the suggestions of a recent National Research Council report [NRC (National Research Council) (2006) Surface Temperature Reconstructions for the Last 2,000 Years (Natl Acad Press, Washington, DC).], we reconstruct surface temperature at hemispheric and global scale for much of the last 2,000 years using a greatly expanded set of proxy data for decadal-to-centennial climate changes, recently updated instrumental data, and complementary methods that have been thoroughly tested and validated with model simulation experiments. Our results extend previous conclusions that recent Northern Hemisphere surface temperature increases are likely anomalous in a long-term context. Recent warmth appears anomalous for at least the past 1,300 years whether or not tree-ring data are used. If tree-ring data are used, the conclusion can be extended to at least the past 1,700 years, but with additional strong caveats. The reconstructed amplitude of change over past centuries is greater than hitherto reported, with somewhat greater Medieval warmth in the Northern Hemisphere, albeit still not reaching recent levels.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-mann-recons-r200809.yaml identifier: nca3-mann-recons-r200809 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Proxy-based reconstructions of hemispheric and global surface temperature variations over the past two millennia native_id: 'DOI: 10.1073/pnas.0805721105' processing_level: ~ publication_year: 2007 release_dt: 2008-09-09T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 90.00; minimum_latitude: -90.00; maximum_longitude: 180.00; minimum_longitude: -180.00;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 0300-01-01T00:00:00 2006-12-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-mann-recons-r200809 url: http://www.meteo.psu.edu/~mann/supplements/MultiproxyMeans07/data/reconstructions/eiv/nhhad_eiv_composite.csv variables: ~ version: N/A vertical_extent: ~ - access_dt: 2013-04-15T00:00:00 attributes: 'daily precipitation, maximum temperature, minimum temperature, wind speed' cite_metadata: "Daily gridded meteorological data obtained from the Surface Water Modeling group at the University of Washington from their web site at http://www.hydro.washington.edu/Lettenmaier/Data/gridded/, the development of which is described by Maurer et al. (2002):\r\n\r\nMaurer, E.P., A.W. Wood, J.C. Adam, D.P. Lettenmaier, and B. Nijssen, 2002, A Long-Term Hydrologically-Based Data Set of Land Surface Fluxes and States for the Conterminous United States, J. Climate 15, 3237-3251" data_qualifier: ~ description: 'A model-derived dataset of land surface states and fluxes is presented for the conterminous United States and portions of Canada and Mexico. The dataset spans the period 1950–2000, and is at a 3-h time step with a spatial resolution of ⅛ degree. The data are distinct from reanalysis products in that precipitation is a gridded product derived directly from observations, and both the land surface water and energy budgets balance at every time step. The surface forcings include precipitation and air temperature (both gridded from observations), and derived downward solar and longwave radiation, vapor pressure deficit, and wind. Simulated runoff is shown to match observations quite well over large river basins' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-maurer-r201304.yaml identifier: nca3-maurer-r201304 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Daily 1/8-degree gridded meteorological data [1 Jan 1949 - 31 Dec 2010]' native_id: 10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2 processing_level: ~ publication_year: 2011 release_dt: 2011-03-11T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 51.68; minimum_latitude: 21.44; maximum_longitude: -65.74; minimum_longitude: -127.97;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1949-01-01T00:00:00 2000-07-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-maurer-r201304 url: http://www.engr.scu.edu/~emaurer/gridded_obs/index_gridded_obs.html variables: ~ version: TBD vertical_extent: ~ - access_dt: ~ attributes: Monthly Anomalies of air temperature from the GHCN and the NOAAERSST V3b dataset. cite_metadata: "Smith, T. M., et al. (2008), Improvements to NOAA's Historical Merged Land-Ocean Surface Temperature Analysis (1880-2006), J. Climate, 21, 2283-2293." data_qualifier: ~ description: "The merged land air and sea surface temperature anomaly analysis is based on data from the Global Historical Climatology Network (GHCN) of land temperatures and the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) of Sea Surface Temperature (SST) data. Temperature anomalies with respect to 1961-1990 are analyzed separately. The analyzed monthly temperature anomalies are then merged to form the global analysis. More dataset information can be found at NCDC's Global Surface Temperature Anomaly webpage. This is the dataset NOAA uses for global temperature monitoring.\r\n \r\nThe data has been changed. See the NCDC doc more for details. Basically, Land surface temperatures are available from the Global Historical Climate Network (GHCN). Sea surface temperatures are determined using the extended reconstructed sea surface temperature (ERSST) analysis. ERSST uses the most recently available International Comprehensive Ocean-Atmosphere Data Set (ICOADS) and statistical methods that allow stable reconstruction using sparse data. The monthly analysis begins January 1854, but due to very sparse data, no global averages are computed before 1880. With more observations after 1880, the signal is stronger and more consistent over time. The ERSST version is now 3b." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-mlost.yaml identifier: nca3-mlost lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: NOAA Merged Land-Ocean Surface Temperature Analysis (MLOST) native_id: Unknown processing_level: ~ publication_year: 2008 release_dt: 2005-10-20T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 87.5; minimum_latitude: -87.5; maximum_longitude: 177.5; minimum_longitude: -177.5;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1880-01-01T00:00:00 2013-07-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-mlost url: http://www.esrl.noaa.gov/psd/data/gridded/data.mlost.html variables: ~ version: 3.5.3 vertical_extent: ~ - access_dt: 2012-05-24T00:00:00 attributes: 'Several temperature and precipitation-based metrics, including: cooling degree days, heating degree days, number of days below 10F, number of days above 95F' cite_metadata: 'Mearns, L.O., et al., 2007, updated 2013. The North American Regional Climate Change Assessment Program dataset, National Center for Atmospheric Research Earth System Grid data portal, Boulder, CO. Data downloaded 2014-03-13. [doi:10.5065/D6RN35ST]' data_qualifier: ~ description: "The North American Regional Climate Change Assessment Program (NARCCAP) is an international program to produce high resolution climate change simulations in order to investigate uncertainties in regional scale projections of future climate and generate climate change scenarios for use in impacts research.\r\n\r\nNARCCAP modelers are running a set of regional climate models (RCMs) driven by a set of atmosphere-ocean general circulation models (AOGCMs) over a domain covering the conterminous United States and most of Canada.\r\n\r\nThe AOGCMs have been forced with the SRES A2 emissions scenario for the 21st century. Simulations with these models were also produced for the current (historical) period. The RCMs are nested within the AOGCMs for the current period 1971-2000 and for the future period 2041-2070. As a preliminary step to evaluate the performance of the RCMs over North America, the RCMS are driven with NCEP Reanalysis II data for the period 1979-2004. All the RCMs are run at a spatial resolution of 50 km." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-narccap-r201205.yaml identifier: nca3-narccap-r201205 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: North American Regional Climate Change Assessment Program dataset native_id: Unknown processing_level: ~ publication_year: 2007 release_dt: ~ scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 76; minimum_latitude: 12; maximum_longitude: -23; minimum_longitude: -170;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1971-01-01T00:00:00 2070-12-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-narccap-r201205 url: http://www.narccap.ucar.edu/about/index.html variables: ~ version: N/A vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Centers for Disease Control and Prevention: National Vital Statistics System: Mortality Data' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-national-vital-statistics-system-mortality-data-r1.yaml identifier: nca3-national-vital-statistics-system-mortality-data-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Centers for Disease Control and Prevention: National Vital Statistics System: Mortality Data' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-national-vital-statistics-system-mortality-data-r1 url: http://www.cdc.gov/nchs/deaths.htm variables: ~ version: ~ vertical_extent: ~ - access_dt: 2013-07-31T00:00:00 attributes: Temperature cite_metadata: "Smith, T.M., R. W. Reynolds, T. C. Peterson, and J. Lawrimore, 2008: Improvements to NOAA's historical merged land-ocean surface temperature analysis (1880-2006). J. Climate, 21, 2283-2296. doi: http://dx.doi.org/10.1175/2007JCLI2100.1" data_qualifier: ~ description: "The global time series is produced from the Smith and Reynolds blended land and ocean data set (Smith et al., 2008). Global-average anomalies are calculated on an annual time scale. The global anomalies are provided with respect to the period 1901-2000, the 20th century average.\r\n\r\nLand surface temperatures are from the Global Historical Climate Network-Monthly (GHCN-M). Sea surface temperatures are determined using the extended reconstructed sea surface temperature (ERSST) analysis. ERSST uses the most recently available International Comprehensive Ocean-Atmosphere Data Set (ICOADS) and statistical methods that allow stable reconstruction using sparse data. Due to very sparse data, no global averages are computed before 1880. With more observations after 1880, the signal is stronger and more consistent over time.\r\n\r\nhttps://www.ncdc.noaa.gov/monitoring-references/faq/anomalies.php" description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-ncdc-gst-anomalies-r201307.yaml identifier: nca3-ncdc-gst-anomalies-r201307 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: NCDC Global Surface Temperature Anomalies native_id: Unknown processing_level: ~ publication_year: 2013 release_dt: 2013-01-15T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 90.00; minimum_latitude: -90.00; maximum_longitude: 180.00; minimum_longitude: -180.00;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1880-01-01T00:00:00 2012-12-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-ncdc-gst-anomalies-r201307 url: https://www.ncdc.noaa.gov/ersst/merge.php variables: ~ version: N/A vertical_extent: ~ - access_dt: ~ attributes: Various monthly mean and derived variables as described in data set cited paper cite_metadata: 'Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K.C. Mo, C. Ropelewski, J. Wang, A. Leetmaa, R. Reynolds, R. Jenne, and D. Joseph, 1996: The NCEP/NCAR 40-year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-470' data_qualifier: ~ description: 'The NCEP/NCAR Reanalysis 1 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1948 to the present. A large subset of this data is available from PSD in its original 4 times daily format and as daily averages. However, the data from 1948-1957 is a little different, in the regular (non-Gaussian) gridded data. That data was done at 8 times daily in the model, because the inputs available in that era were available at 3Z, 9Z, 15Z, and 21Z, whereas the 4x daily data has been available at 0Z, 6Z, 12Z, and 18Z. These latter times were forecasted and the combined result for this early era is 8x daily. The local ingestion process took only the 0Z, 6Z, 12Z, and 18Z forecasted values, and thus only those were used to make the daily time series and monthly means here.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-ncep-ncar-r1.yaml identifier: nca3-ncep-ncar-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: NCEP/NCAR Reanalysis native_id: N/A processing_level: ~ publication_year: 1996 release_dt: 1996-03-01T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 90.00; minimum_latitude: -90.00; maximum_longitude: 180.00; minimum_longitude: -180.00;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1948-01-01T00:00:00 2014-01-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-ncep-ncar-r1 url: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html variables: ~ version: 2 vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Permanent Service for Mean Sea Level tide gauge data for Station: Philadelphia (Pier N9)' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-permanent-service-mean-sea-level-philadelphia-r1.yaml identifier: nca3-permanent-service-mean-sea-level-philadelphia-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Permanent Service for Mean Sea Level: PHILADELPHIA (PIER 9N)' native_id: ~ processing_level: ~ publication_year: 2013 release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-permanent-service-mean-sea-level-philadelphia-r1 url: http://www.psmsl.org/data/obtaining/stations/135.php variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Administration on Aging: Projected Future Growth of the Older Population' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-projected-future-growth-older-population-r1.yaml identifier: nca3-projected-future-growth-older-population-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Administration on Aging: Projected Future Growth of the Older Population' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-projected-future-growth-older-population-r1 url: http://www.aoa.acl.gov/Aging_Statistics/future_growth/future_growth.aspx#age variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: 'Parris, A., P. Bromirski, V. Burkett, D. Cayan, M. Culver, J. Hall, R. Horton, K. Knuuti, R. Moss, J. Obeysekera, A. Sallenger, and J. Weiss, 2012: Global Sea Level Rise Scenarios for the United States National Climate Assessment. NOAA Tech Memo OAR CPO-1, 37 pp., National Oceanic and Atmospheric Administration, Silver Spring, MD. [Available online at http://scenarios.globalchange.gov/sites/default/files/NOAA_SLR_r3_0.pdf]' data_qualifier: ~ description: ~ description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-projected-sea-level-rise-r1.yaml identifier: nca3-projected-sea-level-rise-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Projected Sea Level Rise native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: 'maximum_latitude: ; minimum_latitude: ; maximum_longitude: ; minimum_longitude: ;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 2014-04-29T00:00:00 2014-04-29T00:00:00 temporal_resolution: ~ type: ~ uri: /dataset/nca3-projected-sea-level-rise-r1 url: ~ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: 'Kemp, A. C., B. P. Horton, J. P. Donnelly, M. E. Mann, M. Vermeer, and S. Rahmstorf, 2012: Climate related sea-level variations over the past two millennia. Proceedings of the National Academy of Sciences of the United States of America, 108, 11017-11022, doi:10.1073/pnas.1015619108. [Available online at http://www.pnas.org/content/108/27/11017.full.pdf+html]' data_qualifier: ~ description: ~ description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-proxy-data-r1.yaml identifier: nca3-proxy-data-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Proxy Data native_id: ~ processing_level: ~ publication_year: 2011 release_dt: ~ scale: ~ scope: ~ spatial_extent: 'maximum_latitude: ; minimum_latitude: ; maximum_longitude: ; minimum_longitude: ;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 2014-04-29T00:00:00 2014-04-29T00:00:00 temporal_resolution: ~ type: ~ uri: /dataset/nca3-proxy-data-r1 url: ~ variables: ~ version: ~ vertical_extent: ~ - access_dt: 2013-11-01T00:00:00 attributes: Solar irradiance cite_metadata: '' data_qualifier: ~ description: '' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-solar-constant-r20131003.yaml identifier: nca3-solar-constant-r20131003 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Solar Constant native_id: N/A processing_level: ~ publication_year: 2013 release_dt: 2013-03-10T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: -90; minimum_latitude: 90; maximum_longitude: -180; minimum_longitude: 180;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1976-01-05T00:00:00 2013-03-05T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-solar-constant-r20131003 url: ftp://ftp.pmodwrc.ch/pub/data/irradiance/composite/DataPlots/ext_composite_42_64_1410.dat variables: ~ version: N/A vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'U.S. Energy Information Administration: U.S. States: State Profiles and Energy Estimates' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-state-profiles-and-energy-estimates-r1.yaml identifier: nca3-state-profiles-and-energy-estimates-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'U.S. Energy Information Administration: U.S. States: State Profiles and Energy Estimates' native_id: ~ processing_level: ~ publication_year: 2012 release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-state-profiles-and-energy-estimates-r1 url: http://www.eia.gov/state/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: 'Church, J. A., and N. J. White, 2011: Sea-level rise from the late 19th to the early 21st century. Surveys in Geophysics, 32, 585-602, doi:10.1007/s10712-011-9119-1' data_qualifier: ~ description: ~ description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-tide-gauge-data-r1.yaml identifier: nca3-tide-gauge-data-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Tide Gauge Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: 'maximum_latitude: ; minimum_latitude: ; maximum_longitude: ; minimum_longitude: ;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 2014-04-29T00:00:00 2014-04-29T00:00:00 temporal_resolution: ~ type: ~ uri: /dataset/nca3-tide-gauge-data-r1 url: ~ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: 'Ocean, Sea Level' cite_metadata: 'Nerem, R. S., D. Chambers, C. Choe, and G. T. Mitchum. "Estimating Mean Sea Level Change from the TOPEX and Jason Altimeter Missions." Marine Geodesy 33, no. 1 supp 1 (2010): 435' data_qualifier: ~ description: 'Since 1993, measurements from the TOPEX and Jason series of satellite radar altimeters have allowed estimates of global mean sea level height. These measurements are continuously calibrated against a network of tide gauges. When seasonal and other variations are subtracted, they allow estimation of the global mean sea level rate. As new data, models and corrections become available, these estimates are continuously revised these (about every two months) to improve their quality. (http://sealevel.colorado.edu/)' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-topex-jason-altimetry-r1.yaml identifier: nca3-topex-jason-altimetry-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Global Sea Level From TOPEX & Jason Altimetry native_id: ~ processing_level: ~ publication_year: 1993 release_dt: 2010-08-09T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 90.00; minimum_latitude: -90.00; maximum_longitude: 180.00; minimum_longitude: -180.00;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1993-01-01T00:00:00 2013-01-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-topex-jason-altimetry-r1 url: http://sealevel.colorado.edu/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Value of U.S. agricultural trade, by fiscal year' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-value-us-agricultural-trade-by-fiscal-year-r1.yaml identifier: nca3-value-us-agricultural-trade-by-fiscal-year-r1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Value of U.S. agricultural trade, by fiscal year' native_id: ~ processing_level: ~ publication_year: 2012 release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nca3-value-us-agricultural-trade-by-fiscal-year-r1 url: http://www.ers.usda.gov/data-products/foreign-agricultural-trade-of-the-united-states-(fatus)/fiscal-year.aspx#.Uo5RlNKko9Z variables: ~ version: ~ vertical_extent: ~ - access_dt: 2012-08-10T00:00:00 attributes: soil moisture content cite_metadata: "Reclamation, 2011. 'West-Wide Climate Risk Assessments: Bias-Corrected and Spatially Downscaled Surface Water Projections', Technical Memorandum No. 86-68210-2011-01, prepared by the U.S. Department of the Interior, Bureau of Reclamation, Technical Services Center, Denver, Colorado. 138pp." data_qualifier: ~ description: 'The archive contains fine spatial resolution translations of climate projections over the contiguous United States (U.S.) developed using two downscaling techniques (monthly BCSD Figure 1, and daily BCCA Figure 2), and hydrologic projections over the western U.S. (roughly the western U.S. Figure 3) corresponding to the monthly BCSD climate projections.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/nca3-water-projections-r201208.yaml identifier: nca3-water-projections-r201208 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Bias-Corrected and Spatially Downscaled Surface Water Projections Hydrologic Data native_id: ~ processing_level: ~ publication_year: 2011 release_dt: 2011-03-01T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 49.3125; minimum_latitude: 25.1875; maximum_longitude: -67.0625; minimum_longitude: -124.6875;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1950-01-01T00:00:00 2099-11-26T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/nca3-water-projections-r201208 url: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/dcpInterface.html#Projections:%20Complete%20Archives variables: ~ version: N/A vertical_extent: ~