The Airborne Topographic Mapper (ATM) was a scanning lidar developed and used by NASA for observing the Earth’s topography for several scientific applications, foremost of which was the measurement of changing Arctic and Antarctic ice sheets, glaciers and sea ice. ATM measured topography to an accuracy of better than 5 centimeters by incorporating measurements from GPS (global positioning system) receivers and inertial navigation system (INS) attitude sensors. The purpose of this data set is to enable users working with NASA’s ATM airborne lidar waveform data to estimate their own range calibration if using range tracking methods different from the centroid estimate included in the ATM data files (Studinger et al., 2022; https://doi.org/10.5194/tc-16-3649-2022). The airborne data are freely available from the National Snow and Ice Data Center (NSIDC) at the links listed in the table below. In pressurized aircraft the transmitted laser pulse travels through the aircraft’s optical window close to the scan mirror. Backscatter from both the scan mirror and the aircraft’s optical window in the fuselage are close in time to the transmitted laser pulse and partially overlap with the transmit waveform recorded by the ATM’s optical receiver. To record a “clean” transmit waveform the transmit pulse is sampled from behind a translucent beam splitter and subsequently injected into a multimode fiber-optic cable to provide a fixed optical delay that results in temporal separation between the recorded transmit pulse and contamination from backscattered photons from the scan mirror and the aircraft’s optical window. The delay due to the optical fiber and other system components introduce a laser time-of-flight range bias. The signal strength can also affect the calculated range in a way that depends on the waveform tracking algorithm. This variable influence, known as range walk, and the bias are determined from ground calibration measurements in which ATM data is collected from a stationary target at known range (true range) while varying the return intensity from signal extinction to detector saturation. The resulting signal-dependent deviation of measured range from the true range combine the system delay and range walk correction and are subtracted from the uncalibrated ranges to yield the calibrated range estimates "/laser/calrng" in the airborne waveform files (Studinger et al., 2022; Appendix B3; https://doi.org/10.5194/tc-16-3649-2022). This data set includes ATM ground test waveform data from the wide and narrow scanner, the true ranges, as well as the range calibration tables (caltables) used for processing the airborne data products. A MATLAB® function to read the ground test waveform data is available at: https://doi.org/10.5281/zenodo.6248436 ATM Data Product ID at NSIDC Temporal Coverage https://nsidc.org/data/ilatmw1b 17 July 2017 - 20 November 2019 https://nsidc.org/data/ilnsaw1b 29 October 2017 - 20 November 2019 The file name of the groundtest calibration table that was used to process the airborne data is stored in the field "/ancillary_data/documentation/header_text" of each airborne data file. The corresponding groundtest waveform file has the same time tag and data set identifier as the calibration table file. E.g., the corresponding ground test waveform file for the calibration table “caltable_20170628_193814.atm6AT5.binned_data.txt” is “ILATMW1B_20170628_193814.atm6AT5.h5”. The table below lists the ground test waveform files that should be used for each campaign and instrument: Year Campaign Data Set Groundtest Waveform Data 2017 17-JUL-2017 25-JUL-2017 ILATMW1B ILATMW1B_20170628_193814.atm6AT5.h5 29-OCT-2017 25-NOV-2017 ILATMW1B ILATMW1B_20171017_141954.atm6AT6.h5 29-OCT-2017 25-NOV-2017 ILNSAW1B ILNSAW1B_20171208_122808.atm6BT7.h5 2018 22-MAR-2018 01-MAY-2018 ILATMW1B ILATMW1B_20180309_110944.atm6AT6.h5 10-OCT-2018 16-NOV-2018 ILATMW1B ILATMW1B_20181002_151220.atm6AT6.h5 22-MAR-2018 01-MAY-2018 ILNSAW1B ILNSAW1B_20180301_115659.atm6DT7.h5 10-OCT-2018 16-NOV-2018 ILNSAW1B ILNSAW1B_20181002_160127.atm6DT7.h5 2019 03-APR-2019 16-MAY-2019 ILATMW1B ILATMW1B_20190321_102239.atm6AT6.h5 03-SEP-2019 16-SEP-2019 ILATMW1B ILATMW1B_20190817_132201.atm6AT6.h5 23-OCT-2019 20-NOV-2019 ILATMW1B ILATMW1B_20191017_121209.atm6AT6.h5 03-APR-2019 16-MAY-2019 ILNSAW1B ILNSAW1B_20190327_105730.atm6DT7.h5 03-SEP-2019 16-SEP-2019 ILNSAW1B ILNSAW1B_20190817_131026.atm6DT7.h5 23-OCT-2019 20-NOV-2019 ILNSAW1B ILNSAW1B_20191017_122059.atm6DT7.h5 See also: User guide for NASA's Airborne Topographic Mapper HDF5 Waveform Data: Products: https://doi.org/10.5281/zenodo.7246097 Collection of MATLAB® functions for working with ATM (Airborne Topographic Mapper, laser altimetry data products in HDF5 waveform format: https://github.com/mstudinger/ATM-waveform-tools Airborne Topographic Mapper (ATM) Bathymetry Toolkit (MATLAB® functions): https://doi.org/10.5281/zenodo.6341229

{"references": ["Studinger, M., Manizade, S. S., Linkswiler, M. A., and Yungel, J. K.: High-resolution imaging of supraglacial hydrological features on the Greenland Ice Sheet with NASA's Airborne Topographic Mapper (ATM) instrument suite, The Cryosphere, 16, 3649-3668, 10.5194/tc-16-3649-2022, 2022."]}