Assessment of the GOES-16 Clear Sky Mask Product over the Contiguous USA Using CALIPSO Retrievals

Jiménez, Pedro A.

doi:10.3390/rs12101630

Cited by 17 publications

(4 citation statements)

References 20 publications

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“…The Binary Cloud Mask (BCM; Heidinger & Straka, 2013; Heidinger et al., 2020) is used for tracking clouds. Verification of the BCM over the contiguous United States reveals 90.9% probability detecting clouds and 74.8% accuracy detecting clear sky, respectively (Jiménez, 2020; Luebke et al., 2022). Pixels labeled “cloudy” and “probably cloudy” are considered to compile binary 2d images for the cloud identification algorithm (Seelig et al., 2021).…”

Section: Methodsmentioning

confidence: 99%

Do Optically Denser Trade‐Wind Cumuli Live Longer?

Seelig

Müller

Tesche

2023

Geophysical Research Letters

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Ideal conditions for the formation of shallow marine cumulus (SMC) clouds require a moderate surface heat flux over a warm ocean surface with weak vertical wind shear and large-scale subsidence which is common to the trades (Brueck et al., 2015;Nuijens et al., 2014). SMC form below the inversion layer that separates the convective boundary layer (CBL) from the free atmosphere. They modify the distribution of temperature and moisture within the CBL (Weckwerth et al., 1996) and vent air from the CBL into the free atmosphere (Bony et al., 2017;Derbyshire et al., 2004;Zhang et al., 2003).Together with the polar easterlies and the mid-latitude westerlies, the trades are part of the primary atmospheric circulation that acts on the planetary scale. They form the basis of secondary and tertiary atmospheric circulation patterns that act on the synoptic and the meso-to microscale, respectively. The characteristics of meso-and synoptic-scale motions are expressed in dynamic regimes with distinct timescales. These motions are turbulent while the planetary-scale circulation is irregular and not fully turbulent (Lorenz, 1984;Seelig et al., 2012). However, all dynamic regimes are connected and the kinetic energy spectrum reflects how energy is transferred between them (Nastrom et al., 1984). As clouds are a part of the turbulent field, the distribution of cloud lifetime should therefore resemble the characteristics of different dynamic regimes (Seelig et al., 2021).Tracking clouds in satellite data depends on pattern recognition of a cloud field advected with the mean wind. Hence cloud lifetime is closely connected to the distance they move. The mean wind is associated with momentum and kinetic energy. From that point of view, the cloud lifetime connected to processes related to synoptic

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Section: Methodsmentioning

confidence: 99%

Do Optically Denser Trade‐Wind Cumuli Live Longer?

Seelig

Müller

Tesche

2023

Geophysical Research Letters

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“…The Binary Cloud Mask (BCM; Heidinger et al, 2020) is used for tracking clouds. Verification of the BCM over the contiguous United States reveals 90.9% probability detecting clouds and 74.8% accuracy detecting clear sky, respectively (Jiménez, 2020;Luebke et al, 2022). Pixels labeled "cloudy" and "probably cloudy" are considered to compile binary 2d images for the cloud identification algorithm (Seelig et al, 2021).…”

Section: Goes-16 Abi and The Cloud Physical Property Data Setmentioning

confidence: 99%

Do optically denser trade-wind cumuli live longer?

Seelig,

Müller,

Tesche

2024

Preprint

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We present a detailed investigation of the lifetime of Caribbean trade-wind cumulus clouds and the temporal evolution of their physical properties based on geostationary observations with the Advanced Baseline Imager (Schmit et al., 2017) aboard the GOES-16 satellite during the “ElUcidating the RolE of Cloud-Circulation Coupling in ClimAte” (EUREC⁴A; Stevens et al., 2021) field experiment in winter 2020. A first application of our upgraded cloud-tracking methodology (Seelig et al., 2021) to measurements with a spatio-temporal resolution of 2 × 2 km² and 1 min, respectively, enables the investigation of processes that control the lifetime of shallow marine cumulus clouds. Our analysis reveals that shallow marine cumulus clouds live longer when they span over a surface area that exceeds an order of tens of square kilometers. While these clouds show similar median cloud droplet size and number concentration compared to shorter-lived clouds, they contain more liquid water and, thus, show a cloud optical depth that is increased by about one third. Besides the effect of cloud optical depth, we find that the scale of the atmospheric motions with which the clouds interact is also critical to their lifetime. References: Schmit, T. J., Griffith, P., Gunshor, M. M., Daniels, J. M., Goodman, S. J., and Lebair, W. J.: A Closer Look at the ABI on the GOES-R Series, B. Am. Meteorol. Soc., 98, 681-698, https://doi.org/10.1175/BAMS-D-15-00230.1, 2017. Stevens, et al.: EUREC4A, Earth Syst. Sci. Data, 13, 4067-4119, https://doi.org/10.5194/essd-13-4067-2021, 2021. Seelig, T., Deneke, H., Quaas, J., and Tesche, M.: Life cycle of shallow marine cumulus clouds from geostationary satellite observations, J. Geophys. Res.: Atmos., 126(22), e2021JD035577, https://doi.org/10.1029/2021JD035577, 2021.

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“…The second data product employed is the ABI L2 Clear Sky Mask (CSM) [9]. Within the L2 CSM product, each GOES pixel falls into one of four possible categories: confidently clear, probably clear, probably cloudy, or confidently cloudy.…”

Section: Datamentioning

confidence: 99%

Improving IPATS channel-to-channel registration assessment

Tan,

Reth,

Criscione

et al. 2023

Earth Observing Systems XXVIII

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The Image Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) is a primary tool for assessing INR performance of GOES-R series ABI images. IPATS assesses five INR metrics: navigation, channel-to-channel registration (CCR), frame-to-frame registration, within-frame registration, and swath-to-swath registration. It was discovered that CCR assessment results between Visible-Near-Infrared (VNIR) channels and Infrared (IR) channels exhibits an annual oscillation in the north-south (NS) direction and a diurnal oscillation in the east-west (EW) direction, with an amplitude of approximately 5 μrad and 2.5 μrad, respectively. However, differences of navigation assessment results between VNIR and IR channels do not exhibit the annual or diurnal oscillations observed in CCR results. This indicates that the observed oscillations are due to measurement errors. The characteristics of the oscillations imply that cloud shadows are a possible cause of these measurement errors. In this study, several methods are explored to minimize the impact of cloud shadows on VNIR to IR CCR assessments: a) assessment at landmark locations only; b) using navigation assessment results to filter CCR assessments; c) using the ABI clear-sky-ratio product as a cloud mask; and d) smaller CCR assessment windows. In this paper, each method and a combination of several methods are evaluated based on assessment accuracy and the number of successful assessments. The selected approach is then used to reprocess GOES-16 ABI CCR data to show reductions in the annual and diurnal measurement error oscillations.

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Assessment of the GOES-16 Clear Sky Mask Product over the Contiguous USA Using CALIPSO Retrievals

Cited by 17 publications

References 20 publications

Do Optically Denser Trade‐Wind Cumuli Live Longer?

Do Optically Denser Trade‐Wind Cumuli Live Longer?

Do optically denser trade-wind cumuli live longer?

Improving IPATS channel-to-channel registration assessment

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