Authors
Molly A Hardman (CIRES,NSIDC), Mary J Brodzik (CIRES,NSIDC), David G Long (Brigham Young University), Julie Z Miller (CIRES), Joan M Ramage (Lehigh University), Mahboubeh Boueshagh (Lehigh University), Walt Meier (CIRES,NSIDC), J Scott Stewart (NSIDC)

Abstract

Adhering to FAIR data principles and released in 2016, the Calibrated, Enhanced-Resolution Brightness Temperature (CETB) Earth System Data Record (ESDR) serves the cryospheric research community as a long-term data record to derive geophysical parameters. In 2023, the historical CETB record has been reprocessed as CETBv2, using improved, recalibrated, input data records. With measurements beginning in 1978, the satellite passive microwave data record is a touchstone of cryospheric remote sensing, providing twice-daily, all- weather, near-global spatial coverage for monitoring cryospheric parameters. With operational support and distribution from the NSIDC DAAC, CETBv2 data now include AMSR2 measurements, with ongoing AMSR2 observations and current operational SSMIS data available in near real-time (<1 day from acquisition). This global gridded data product is used to derive multiple cryospheric data products. Enhancing spatial resolutions up to 3 km (a 30-60% improvement over conventional gridding techniques) with the radiometer version of Scatterometer Image Reconstruction (rSIR), CETBv2 yields greatest improvements to geophysical algorithms where brightness temperature gradients are large over short distances, including snow- and ice-covered areas in complex terrain, in transition zones from forested to open areas, along land-water coastline boundaries and in regions of small lakes typical in boreal regions. We describe the CETBv2 reprocessing effort and highlight successful recent applications of this long-term climate record. AMSR2 CETBs are improving sea ice concentration and sea ice motion maps at higher spatial resolutions than have previously been available, to benefit operational sea ice monitoring in the Alaskan Arctic. SMAP CETBs and low-frequency AMSR2 CETBv2 data are used to derive freshwater and brine firn aquifer and ice slab extent to advance understanding of liquid water reservoirs in ice-sheet and ice-shelf processes related to mass balance and stability. Ancillary spatial statistics provided with SSMIS CETBs are improving snow melt onset in regions that are critical to military mobility, and demonstrating potential to improve snow water equivalent algorithms.