Work

COWVR/TEMPEST Multisensor Satellite-Based Surface State Parameter Retrievals

Year: 2024

Type: article

Abstract: Accurate estimates of essential climate variables, including ocean surface specific humidity (qa) and air temperature (Ta), at the air–sea interface are critical in understanding many atmospheric and oceanic processes and impacts and can be used to inform data-assimilative forecast systems about the coupled atmosphere-ocean state. To aid in addressing this scientific community need, the data processing component of the Naval Research Laboratory (NRL) Ocean Surface Flux System (NFLUX) uses multiple polynomial regression algorithms to produce single-sensor satellite-based swath-level estimates of surface state parameters and heat fluxes over the global ocean. This study extends the current NFLUX processing to include data processing from multiple sensors onboard the same platform. Specifically, we are combining satellite brightness temperature data from the Compact Ocean Wind Vector Radiometer (COWVR) and the Temporal Experiment for Storms and Tropical Systems (TEMPEST) to produce qaand Taestimates. These combined surface estimates have error statistics comparable to current NFLUX satellite-based swath-level estimates from single sensors.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI: 10.1109/jstars.2024.3520429

Authors: Jackie C. May, Clark Rowley

Institutions: Stennis Space Center, Naval Research Laboratory Ocean Sciences Division

Language: English

Topic: Ocean Waves and Remote Sensing

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: gold

Estimated APC paid: $1,496