Satellite Data Application, Validation and Calibration for Atmospheric Observation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 75109
Special Issue Editors
Interests: environmental satellite remote sensing; radiative transfer; satellite data validation and calibration; oceanic and atmospheric applications; global climate change; air–sea interactions; marine meteorology
Special Issues, Collections and Topics in MDPI journals
Interests: infrared remote sensing, including instrument calibration, validation, radiative transfer modeling, and retrieval validation
Special Issues, Collections and Topics in MDPI journals
Interests: radiative transfer models; satellite radiance assimilation; sensor calibration and climate studies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Well-calibrated, remotely sensed spectral observations acquired from the growing constellation of environmental satellites flown in low-Earth orbit (LEO) and geosynchronous orbit (GEO) provide the vast majority of data for the purpose of observing the global atmosphere and oceans over varying space and timescales. While environmental satellite data have been critical in the improvement of numerical weather forecasts via data assimilation in recent years, a large complement of derived geophysical products and state parameters (e.g., environmental data records, climate data records, etc.) retrieved from the sensor data records (i.e., spectral radiances) are used for Earth system observation at microscale, mesoscale, synoptic, and global climate scales. Because multiple independent passive and active sensors are sensitive to different portions of the EM spectrum and deployed onboard different satellite platforms, high absolute calibration accuracy is crucial for synergistic observations and data continuity, as well as for specifying reliable uncertainty estimates. Climate change detection, in particular, requires the capability to resolve small global signals over decadal timescales (ΔT ≈ 0.1 K per decade), which fundamentally requires stable sensor data records (SDRs) with high calibration accuracy. Routine monitoring of sensor calibration (SDRs) stability is facilitated via the validation of retrieved geophysical state parameters (i.e., environmental and climate data records, EDRs and CDRs, respectively), which includes assessments of both absolute accuracy and precision with respect to independent reference measurements.
This Special Issue will focus on the calibration/validation (cal/val) of advanced passive sensors (IR and/or MW) essential for Earth (atmospheric/oceanic) observation onboard both operational and experimental environmental satellites, including, but not limited to, NOAA-20, SNPP, Aqua, Metop-B,-C, GOES-16,-17, Meteosat, Himawari, and FY satellites. We invite papers in the areas of sensor (SDR) calibration, algorithm/retrieval (EDR) validation (including intensive campaigns), and sensitivity/impact on derived product (e.g., EDR) applications.
Dr. Nicholas Nalli
Ms. Lori A. Borg
Dr. Quanhua Liu
Guest Editors
References:
- Aumann, H. H., S. Broberg, D. Elliott, S. Gaiser, and D. Gregorich, 2006: Three years of Atmospheric Infrared Sounder radiometric calibration validation using sea surface temperatures, J. Geophys. Res., 111, D16S90, doi:10.1029/2005JD006822.
- Han, Y. and Y. Ghen, Calibration algorithm for Cross-Track Infrared Sounder full spectral resolution measurements, 2017: IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2017.2757940.
- Iturbide-Sanchez, F., da Silva, S.R.S., Liu, Q., Pryor, K.L., Pettey, M.E. and Nalli, N.R., 2018: Toward the operational weather forecasting application of atmospheric stability products derived from NUCAPS CrIS/ATMS Soundings. IEEE Transactions on Geoscience and Remote Sensing, 56(8), pp.4522–4545.
- Nalli, N.R., et al., 2013: Validation of satellite sounder Environmental Data Records: Application to the Cross-track Infrared Microwave Sounder Suite, J. Geophys. Res. Atmos., 118, 13,628–13,643, doi:10.1002/2013JD020436.
- Nalli, N. R., A. Gambacorta, Q. Liu, C. D. Barnet, C. Tan, F. Iturbide-Sanchez, T. Reale, B. Sun, M. Wilson, L. Borg, and V. R. Morris, 2018: Validation of atmospheric profile retrievals from the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 1: Temperature and moisture, IEEE Trans. Geosci. Remote Sens., 56(1), 180–190, doi:10.1109/TGRS.2017.2744558.
- Tobin, D., et al., 2013: Suomi-NPP CrIS radiometric calibration uncertainty, J. Geophys. Res. Atmos., 118, 10,589–10,600, doi:10.1002/jgrd.50809
- Tobin, D. C., et al., 2006: Radiometric and spectral validation of Atmospheric Infrared Sounder observations with the aircraft-based Scanning High-Resolution Interferometer Sounder, J. Geophys. Res., 111, D09S02, doi:10.1029/2005JD006094.
- Tobin, D. C., et al., 2006: Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation, J. Geophys. Res., 111, D09S14, doi:10.1029/2005JD006103.
- Weng, F., X. Zou, X. Wang, S. Yang, and M. D. Goldberg, 2012: Introduction to Suomi National Polar-orbiting Partnership Advanced Technology Microwave Sounder for numerical weather prediction and tropical cyclone applications, J. Geophys. Res., 117, D19112, doi:10.1029/2012JD018144.
- Weng, F., et al., 2013: Calibration of Suomi National Polar-orbiting Partnership Advanced Technology Microwave Sounder, J. Geophys. Res. Atmos., 118, 11,187–11,200, doi:10.1002/jgrd.50840.
- Zhou, L., M. Divakarla, X. Liu, A. Layns, and M. Goldberg, 2019: An overview of the science performances and calibration/validation of Joint Polar Satellite System Operational Products. Remote Sens., 11, 698; doi:10.3390/rs11060698.
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Keywords
- satellite data calibration
- validation
- cal/val
- applications
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