An Algorithm for the Constraining of Radiative Transfer Calculations to CERES-Observed Broadband Top-of-Atmosphere Irradiance

Rose, Fred G.; Rutan, David A.; Charlock, Thomas P.; Smith, G. Louis; Kato, Seiji

doi:10.1175/jtech-d-12-00058.1

Cited by 49 publications

(39 citation statements)

References 44 publications

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“…To our knowledge, a global satellite‐derived SSR data set of equally high spatial resolution as the cmsaf03 (0.03°) is not available. To extend the present analysis beyond the Meteosat disk to the full global scale, one would need to use a data set of coarser resolution such as, for example, the CLARA‐A1 product (CM SAF) [ Karlsson et al , ; Riihelä et al , ] with 0.25° grid spacing or the CERES Clouds and Radiative Swath data set that provides irradiances on the scale of ∼30 km footprints [ Rose et al , ].…”

Section: Resultsmentioning

confidence: 99%

Spatial representativeness of ground-based solar radiation measurements-Extension to the full Meteosat disk

Hakuba

Folini

Sánchez-Lorenzo

et al. 2014

J. Geophys. Res. Atmos.

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The spatial representativeness of a point measurement of surface solar radiation (SSR) of its larger-scale surrounding, e.g., collocated grid cell, is a potential source of uncertainty in the validation of climate models and satellite products. Here we expand our previous study over Europe to the entire Meteosat disk, covering additional climate zones in Africa, the Middle east, and South America between −70• to 70• East and −70• to 70• North. Using a high-resolution (0.03 [2001][2002][2003][2004][2005], we quantify the spatial subgrid variability in grids of 1 • and 3• resolution and the spatial representativeness of 887 surface sites with respect to site-centered surroundings of variable size. In the multiannual mean the subgrid variability is the largest in some mountainous and coastal regions but varies seasonally due to changes in the Intertropical Convergence Zone location. The absolute mean representation errors at the surface sites with respect to surroundings of 1 • and 3• are on average 1-2% (3 W m −2 ) and 2-3% (4 W m −2 ), respectively. The majority of sites are found to be representative within the in situ measurement accuracy. We show that their site-specific representativeness can be reliably approximated by the subgrid variability in a fixed grid (1 • ). The subgrid variability in turn is only moderately reduced when computed from coarser grid data, typically the only data available in areas not covered by the 0.03• resolved Meteosat disk. Together, this paves the way to a fully global assessment of site-specific spatial representativeness.

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Section: Resultsmentioning

confidence: 99%

Spatial representativeness of ground-based solar radiation measurements-Extension to the full Meteosat disk

Hakuba

Folini

Sánchez-Lorenzo

et al. 2014

J. Geophys. Res. Atmos.

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“…The Fu‐Liou radiative transfer model used in this study is based on the original Fu‐Liou model [ Fu and Liou , ] and is further developed at the NASA Langley Research Center [ Rose et al ., ]. The cloud radiative kernels are derived following Zelinka et al .…”

Section: Methodsmentioning

confidence: 99%

The ENSO effects on tropical clouds and top‐of‐atmosphere cloud radiative effects in CMIP5 models

Wang

2015

JGR Atmospheres

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The El Niño-Southern Oscillation (ENSO) effects on tropical clouds and top-of-atmosphere (TOA) cloud radiative effects (CREs) in Coupled Model Intercomparison Project Phase 5 (CMIP5) models are evaluated using satellite-based observations and International Satellite Cloud Climatology Project satellite simulator output. Climatologically, most CMIP5 models produce considerably less total cloud amount with higher cloud top and notably larger reflectivity than observations in tropical Indo-Pacific (60°E-200°E; 10°S-10°N). During ENSO, most CMIP5 models strongly underestimate TOA CRE and cloud changes over western tropical Pacific. Over central tropical Pacific, while the multi-model mean resembles observations in TOA CRE and cloud amount anomalies, it notably overestimates cloud top pressure (CTP) decreases; there are also substantial inter-model variations. The relative effects of changes in cloud properties, temperature, and humidity on TOA CRE anomalies during ENSO in the CMIP5 models are assessed using cloud radiative kernels. The CMIP5 models agree with observations in that their TOA shortwave CRE anomalies are primarily contributed by total cloud amount changes, and their TOA longwave CRE anomalies are mostly contributed by changes in both total cloud amount and CTP. The model biases in TOA CRE anomalies particularly the strong underestimations over western tropical Pacific are, however, mainly explained by model biases in CTP and cloud optical thickness (τ) changes. Despite the distinct model climatological cloud biases particularly in τ regime, the TOA CRE anomalies from total cloud amount changes are comparable between the CMIP5 models and observations, because of the strong compensations between model underestimation of TOA CRE anomalies from thin clouds and overestimation from medium and thick clouds.

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“…Hourly values are subsequently averaged to give 3-h averages at 1330, 1630 UTC, etc., times of the day. A list of the LW and SW bands in the current model is given in appendix A and in Rose et al (2006). For carbon dioxide, methane, and nitrous oxide, secularly increasing values are used from the NOAA/ESRL annual greenhouse gas index (AGGI; http://www.esrl.noaa.gov/gmd/aggi/aggi.…”

Section: B Ceres Syn1deg Flux Computationmentioning

confidence: 99%

CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux

Rutan

Kato²,

Doelling³

et al. 2015

Journal of Atmospheric and Oceanic Technology

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245

194

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The Clouds and the Earth's Radiant Energy System Synoptic (SYN1deg), edition 3, product provides climate-quality global 3-hourly 18 3 18gridded top of atmosphere, in-atmosphere, and surface radiant fluxes. The in-atmosphere surface fluxes are computed hourly using a radiative transfer code based upon inputs from Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS), 3-hourly geostationary (GEO) data, and meteorological assimilation data from the Goddard Earth Observing System. The GEO visible and infrared imager calibration is tied to MODIS to ensure uniform MODIS-like cloud properties across all satellite cloud datasets. Computed surface radiant fluxes are compared to surface observations at 85 globally distributed land (37) and ocean buoy (48) sites as well as several other publicly available global surface radiant flux data products. Computed monthly mean downward fluxes from SYN1deg have a bias (standard deviation) of 3.0 W m 22 (5.7%) for shortwave and 24.0 W m 22 (2.9%) for longwave compared to surface observations. The standard deviation between surface downward shortwave flux calculations and observations at the 3-hourly time scale is reduced when the diurnal cycle of cloud changes is explicitly accounted for. The improvement is smaller for surface downward longwave flux owing to an additional sensitivity to boundary layer temperature/humidity, which has a weaker diurnal cycle compared to clouds.

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An Algorithm for the Constraining of Radiative Transfer Calculations to CERES-Observed Broadband Top-of-Atmosphere Irradiance

Cited by 49 publications

References 44 publications

Spatial representativeness of ground-based solar radiation measurements-Extension to the full Meteosat disk

Spatial representativeness of ground-based solar radiation measurements-Extension to the full Meteosat disk

The ENSO effects on tropical clouds and top‐of‐atmosphere cloud radiative effects in CMIP5 models

CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux

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