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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet.subset https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet https://polarwatch.noaa.gov/erddap/tabledap/cwwcNDBCMet.graph https://polarwatch.noaa.gov/erddap/files/cwwcNDBCMet/ NDBC Standard Meteorological Buoy Data, 1970-present The National Data Buoy Center (NDBC) distributes meteorological data from\nmoored buoys maintained by NDBC and others. Moored buoys are the weather\nsentinels of the sea. They are deployed in the coastal and offshore waters\nfrom the western Atlantic to the Pacific Ocean around Hawaii, and from the\nBering Sea to the South Pacific. NDBC's moored buoys measure and transmit\nbarometric pressure; wind direction, speed, and gust; air and sea\ntemperature; and wave energy spectra from which significant wave height,\ndominant wave period, and average wave period are derived. Even the\ndirection of wave propagation is measured on many moored buoys. See\nhttps://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.\n\nThe source data from NOAA NDBC has different column names, different units,\nand different missing values in different files, and other problems\n(notably, lots of rows with duplicate or different values for the same time\npoint). This dataset is a standardized, reformatted, and lightly edited\nversion of that source data, created by NOAA NMFS SWFSC ERD (email:\nerd.data at noaa.gov). Before 2020-01-29, this dataset only had the data\nthat was closest to a given hour, rounded to the nearest hour. Now, this\ndataset has all of the data available from NDBC with the original time\nvalues. If there are multiple source rows for a given buoy for a given\ntime, only the row with the most non-NaN data values is kept. If there is\na gap in the data, a row of missing values is inserted (which causes a nice\ngap when the data is graphed). Also, some impossible data values are\nremoved, but this data is not perfectly clean. This dataset is now updated\nevery 5 minutes.\n\nThis dataset has both historical data (quality controlled, before\n2022-10-01T00:00:00Z) and near real time data (less quality controlled,\nwhich may change at any time, from 2022-10-01T00:00:00Z on).\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation (Station Identifier)\n... (19 more variables)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/cwwcNDBCMet_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/cwwcNDBCMet_iso19115.xml https://polarwatch.noaa.gov/erddap/info/cwwcNDBCMet/index.htmlTable https://www.ndbc.noaa.gov/ (external link) https://polarwatch.noaa.gov/erddap/rss/cwwcNDBCMet.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=cwwcNDBCMet&showErrors=false&email= NOAA NDBC, NOAA NMFS SWFSC ERD cwwcNDBCMet
https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_roughness_icebridge https://polarwatch.noaa.gov/erddap/tabledap/noaa_lsa_surface_roughness_icebridge.graph https://polarwatch.noaa.gov/erddap/files/noaa_lsa_surface_roughness_icebridge/ Sea Ice Surface Roughness from IceBridge ATM LIDAR, Arctic, 10km, from 2009 to 2018 Airborne Surveys This data file contains the NOAA / NESDIS / STAR / LSA Polar Ocean Data System (PODS) Arctic Surface Roughness Product. The Arctic Surface Roughness Product is derived from Airborne Topographic Mapper (ATM) lidar elevation data acquired during annual, low-altitude NASA Operation IceBridge airborne surveys over Arctic sea ice. IceBridge ATM data were acquired between March and May, 2009 - 2019.\n            Due to the conical scanning geometry of the ATM lidar, across-track sampling is non-uniform, with sampling density greatest at the swath edges. To account for the variation in sample density, ATM elevation data are gridded (See Figure 1 on Data Product Webpage). Each grid cell has an along-track dimension of 30 m and an across-track dimension that is inversely proportional to the across-track sampling density. The grid configuration optimizes ATM sample density providing high-resolution measurements of sea ice surface roughness while still containing enough point measurements for robust statistical calculations. Statistics are computed on the distribution of sea ice surface roughness for 10 km along-track segments, for each aircraft flight line.\n\n            Users are asked to cite the following publication whenever these data are used: Connor, L., S. Farrell and D. McAdoo (2017), A decadal study of interannual variability in Arctic sea ice freeboard using airborne laser altimetry (2006-2016), presented at the 2017 IGS International Symposium on Polar Ice, Polar Climate, and Polar Change, Boulder, Colorado, 14-19 Aug. 2017.\n\n            Point of Contact: Laurence.Connor@noaa.gov\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMean_surface_roughness (Meters)\nMaximum_surface_roughness (Meters)\nSurface_roughness_5th_percentile (Meters)\nSurface_roughness_25th_percentile (Meters)\nSurface_roughness_75th_percentile (Meters)\nSurface_roughness_95th_percentile (Meters)\nSurface_roughness_99th_percentile (Meters)\n https://polarwatch.noaa.gov/erddap/metadata/fgdc/xml/noaa_lsa_surface_roughness_icebridge_fgdc.xml https://polarwatch.noaa.gov/erddap/metadata/iso19115/xml/noaa_lsa_surface_roughness_icebridge_iso19115.xml https://polarwatch.noaa.gov/erddap/info/noaa_lsa_surface_roughness_icebridge/index.htmlTable https://star.nesdis.noaa.gov/socd/lsa/SeaIce/SeaIceSurfaceRoughness.php (external link) https://polarwatch.noaa.gov/erddap/rss/noaa_lsa_surface_roughness_icebridge.rss https://polarwatch.noaa.gov/erddap/subscriptions/add.html?datasetID=noaa_lsa_surface_roughness_icebridge&showErrors=false&email= NOAA NESDIS STAR noaa_lsa_surface_roughness_icebridge

 
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