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EXPORTS Lidar Data

EXport Processes in the Ocean from Remote Sensing (EXPORTS)

In support of the NASA-led EXport Processes in the Ocean from Remote Sensing (EXPORTS) field campaign are these data sets from the NOAA Oceanographic lidar (FLOE) as well as two additional lidars, the NASA High-Spectral-Resolution Lidar (HSRL) and the NASA Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). More Program Info...

NOAA FLOE

The NOAA Oceanographic lidar (FLOE) data set produced for this project includes the near-surface optical properties for the Arctic flights conducted in July 2017. Readme - NOAA Oceanographic Lidar

NASA HSRL

The SABOR (Ship-Aircraft Bio-Optical Research) experiment was conducted during the summer of 2014 (17 July - 7 August) off the east coast of the US. As part of this experiment, the NASA High-Spectral-Resolution Lidar (HSRL) was flown on the NASA B-200 aircraft. This data set includes estimates of particulate backscatter and diffuse attenuation estimated from these data using the HSRL technique and also using a perturbation retrieval technique. Readme - NASA High-Spectral-Resolution Lidar

NASA CALIOP

From January 2008 - May 2017 there are CALIPSO CALIOP, AQUA MODIS and TERRA MODIS 5x5 degree data from four regions.

• Readme - CALIOP Arctic Region, ocean north of 65° around -180° W
• Readme - CALIOP North Atlantic Bloom Experiment Region, 61° N latitude, 26° W longitude
• Readme - CALIOP A Long-Term Oligotrophic Habitat Assessment, 22° N latitude, 158° W longitude
• Readme - CALIOP Ocean Station Papa, 50° N latitude, 145° W longitude

Data Status: These data sets are posted as FINAL.

Data Policy: We request that a proper acknowledgment to the "NOAA Earth System Research Laboratory Chemical Sciences Division" accompany the use of this data in any publications and presentations. If the use of this data in a publication constitutes a major or reasonably significant aspect of an article, co-authorship by an ESRL scientist is appropriate; please discuss any such planned use with the contact scientists. We welcome collaborations and will lend our scientific expertise in interpretation and evaluation of the data.