Sea Ice Surface Roughness from Ice Bridge Airborne Surveys, Arctic

Summary

This is airborne sea ice surface roughness data from annual Ice Bridge surveys spanning from 2009-2019. Data are derived from from Airborne Topographic Mapper (ATM) lidar elevation data. Statistics are computed on the distribution of sea ice surface roughness for 10 km along-track segments, for each aircraft flight line.

Time Period

Mar 2009 to Apr 2018

Spatial Coverage

Arctic

Projection

Geographic

Data Provider

NOAA

Parameters

Surface roughness 99th percentile, Mean surface roughness, Maximum surface roughness, Surface roughness 5th percentile, +0 more

Map Settings

Data Access

ERDDAP

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Dataset Name	ERDDAP ID
Sea Ice Surface Roughness from IceBridge ATM LIDAR, Arctic, 10km, from 2009 to 2018 Airborne Surveys	noaa_lsa_surface_roughness_icebridge

Data Access Examples

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Full Details

The following details are from the dataset metadata. View dataset details in ERDDAP

ERDDAP Dataset Title

Sea Ice Surface Roughness from IceBridge ATM LIDAR, Arctic, 10km, from 2009 to 2018 Airborne Surveys

ERDDAP Dataset ID

noaa_lsa_surface_roughness_icebridge

Data Provider

NOAA

More information about this product

https://star.nesdis.noaa.gov/socd/lsa/SeaIce/SeaIceSurfaceRoughness.php

Data Provider Web Page

https://star.nesdis.noaa.gov/socd/lsa

Dataset Description

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. 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. 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. Point of Contact: Laurence.Connor@noaa.gov

Time Period

Mar 31, 2009 to Apr 16, 2018

Spatial Coverage

Arctic

Parameters

Surface roughness 99th percentile, Mean surface roughness, Maximum surface roughness, Surface roughness 5th percentile, Surface roughness 25th percentile, Surface roughness 75th percentile, Surface roughness 95th percentile

Data Formats

Data are available in a number of formats including NetCDF, csv, graphics and more.

Metadata

View in ERDDAP

Projection

Geographic, EPSG:4326