Dr. Prasanjit Dash Profile

Dr. Prasanjit Dash

at Ctr for Satellite Applications and Research

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Proceedings Article | 17 May 2016 Paper

Near real time SST retrievals from Himawari-8 at NOAA using ACSPO system

M. Kramar, A. Ignatov, B. Petrenko, Y. Kihai, P. Dash

Proceedings Volume 9827, 98270L (2016) https://doi.org/10.1117/12.2229771

KEYWORDS: Imaging systems, Satellite imaging, Satellites, Data processing, Sensors, Stars, Spatial resolution, Infrared imaging, Thermography, Composites

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Japanese Himawari-8 (H8) satellite was launched on October 7, 2014 and placed into a geostationary orbit at ~ 140.7°E. The Advanced Himawari Imager (AHI) onboard H8 provides full-disk (FD) observations every 10 minutes, in 16 solar reflectance and thermal infrared (IR) bands, with spatial resolution at nadir of 0.5-1 km and 2 km, respectively. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) SST system, previously used with several polar-orbiting sensors, was adapted to process the AHI data. The AHI SST product is routinely validated against quality controlled in situ SSTs available from the NOAA in situ SST Quality monitor (iQuam). The product performance is monitored in the NOAA SST Quality Monitor (SQUAM) system. Typical validation statistics show a bias within ±0.2 K and standard deviation of 0.4-0.6 K. The ACSPO H8 SST is also compared with the NOAA heritage SST produced at OSPO from the Multifunctional Transport Satellite (MTSAT-2; renamed Himawari-7, or H7 after launch) and with another H8 SST produced by JAXA (Japan Aerospace Exploration Agency). This paper describes the ACSPO AHI SST processing and results of validation and comparisons. Work is underway to generate a reduced volume ACSPO AHI SST product L2C (collated in time; e.g., 1-hr instead of current 10-min) and/or L3C (additionally gridded in space). ACSPO AHI processing chain will be applied to the data of the Advanced Baseline Imager (ABI), which will be flown onboard the next generation US geostationary satellite, GOES-R, scheduled for launch in October 2016.

Proceedings Article | 12 June 2012 Paper

Selecting a first-guess SST as input to ACSPO

Korak Saha, Alexander Ignatov, XingMing Liang, Prasanjit Dash

Proceedings Volume 8372, 83720L (2012) https://doi.org/10.1117/12.918093

KEYWORDS: Satellites, Atmospheric modeling, Error analysis, Radiative transfer, Sensor performance, Clouds, In situ remote sensing, Satellite navigation systems, Stars, Data centers

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Advanced Clear-Sky Processor for Oceans (ACSPO) is a National Environmental Satellite, Data, and Information Service (NESDIS) clear-sky radiance and sea surface temperature (SST) retrieval system. It provides clearsky top of the atmosphere (TOA) observed brightness temperatures (BT) in AVHRR channels 3B(3.7 μm), 4(11 μm), and 5(12 μm) and SST retrieved from these BTs, along with their modeled values calculated with the fast community radiative transfer model (CRTM), using first-guess level 4 (L4) SST (Reynolds daily optimum interpolation SST; OISST) and upper air (NCEP-GFS) fields as inputs. The simulated first-guess BTs are used for accurate ACSPO clearsky mask estimation, physical SST retrievals, monitoring sensor performance, and CRTM validation. Model minus observation (M-O) biases are continuously monitored using the near-real time online-tool, Monitoring of IR Clear-sky radiances over Oceans for SST (MICROS; www.star.nesdis.noaa.gov/sod/sst/micros/). This study tests eleven different gap free L4 SSTs as potential first-guess input fields in ACSPO to improve accuracies of simulated BTs. These L4 SST fields are being cross-compared and validated with quality controlled in situ data in L4-SST Quality Monitor (SQUAM; http://www.star.nesdis.noaa.gov/sod/sst/squam/L4/). In this paper, L4 SSTs are evaluated by comparing them with the ACSPO L2 SST product. Three metrics including the global spatial variance of the L4-L2 biases, and their temporal stability along with the corresponding double-differences, are used to test the performance of these L4 SSTs. It is generally observed that the Group for High-Resolution SST (GHRSST) Multi-Product Ensemble (GMPE), Canadian Meteorological Centre (CMC 0.2°) and UKMO OSTIA provide more consistent first-guess SST fields for use in ACSPO.

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