Abstract

In response to its users’ needs, the National Oceanic and Atmospheric Administration (NOAA) initiated reanalysis (RAN) of the Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km) sea surface temperature (SST) data employing its Advanced Clear Sky Processor for Oceans (ACSPO) retrieval system. Initially, AVHRR/3 data from five NOAA and two Metop satellites from 2002 to 2015 have been reprocessed. The derived SSTs have been matched up with two reference SSTs—the quality controlled in situ SSTs from the NOAA in situ Quality Monitor (iQuam) and the Canadian Meteorological Centre (CMC) L4 SST analysis—and analyzed in the NOAA SST Quality Monitor (SQUAM) online system. The corresponding clear-sky ocean brightness temperatures (BT) in AVHRR bands 3b, 4 and 5 (centered at 3.7, 11, and 12 µm, respectively) have been compared with the Community Radiative Transfer Model simulations in another NOAA online system, Monitoring of Infrared Clear-sky Radiances over Ocean for SST (MICROS). For some AVHRRs, the time series of “AVHRR minus reference” SSTs and “observed minus model” BTs are unstable and inconsistent, with artifacts in the SSTs and BTs strongly correlated. In the official “Reanalysis version 1” (RAN1), data from only five platforms—two midmorning (NOAA-17 and Metop-A) and three afternoon (NOAA-16, -18 and -19)—were included during the most stable periods of their operations. The stability of the SST time series was further improved using variable regression SST coefficients, similarly to how it was done in the NOAA/NASA Pathfinder version 5.2 (PFV5.2) dataset. For data assimilation applications, especially those blending satellite and in situ SSTs, we recommend bias-correcting the RAN1 SSTs using the newly developed sensor-specific error statistics (SSES), which are reported in the product files. Relative performance of RAN1 and PFV5.2 SSTs is discussed. Work is underway to improve the calibration of AVHRR/3s and extend RAN time series, initially back to the mid-1990s and later to the early 1980s.

Highlights

  • The Advanced Clear Sky Processor for Ocean (ACSPO) is the National Oceanic and Atmospheric Administration (NOAA) sea surface temperature (SST)retrieval system [1,2,3,4]

  • The Advanced Very High Resolution Radiometer (AVHRR)/3 Global Area Coverage (GAC) data analyzed in this study are summarized in Stewardship System (CLASS; www.class.noaa.gov)

  • Data analyzed in this study and a subset used in Reanalysis version 1 (RAN1)

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Summary

Introduction

The Advanced Clear Sky Processor for Ocean (ACSPO) is the NOAA sea surface temperature (SST). The GPB and bias-corrected PF products remain inconsistent, and NOAA initiated a pilot project to generate a long-term record of GPB L4 SST, suitable for producing an initial climatology. This in turn requires reprocessing of the corresponding polar and geostationary. The RAN1 dataset is documented, along with its major challenges, limitations, adopted tradeoffs, and the future work to resolve those Both daytime and nighttime data are reported in RAN1, but the discussion is limited to nighttime SSTs only, as requested by the current users

Data, Methodology, Results
ACSPO Processing
SSTs Derived Using Static Regression Coefficients
The Root Cause of the Unstable SSTs
Validation
Monthly mean nighttime biases of ΔT
Performance of RAN1 SST as a Function of Latitude and VZA
13. Histograms produced from the corresponding
Summary and Future Work
Full Text
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