Intercomparison of global cloud cover fields over oceans from the VOS observations and NCEP/NCAR reanalysis

Bedacht, Ernst; Gulev, Sergey; Macke, Andreas

doi:10.1002/joc.1490

Cited by 43 publications

(20 citation statements)

References 39 publications

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“…This remarkable underestimation has been previously reported for other areas (e.g. Weare and Mokhov, ; Betts et al , ; Bedacht et al , ; Calbó and Sanchez‐Lorenzo, ; Wu et al , ; Naud and Booth, ).…”

Section: Resultssupporting

confidence: 53%

Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products

Calbó

Badosa

González

et al. 2015

Intl Journal of Climatology

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This article presents a climatology of total cloud cover (TCC) in the area of the three inland Eurasian seas (Black, Caspian, and Aral Sea). Analyses are performed on the basis of 20 years of data (1991–2010), collected from almost 200 ground stations. Average TCC is 49%, with broad spatial and seasonal variability: minimum TCC values are found in summer and to the southeast, whereas maximum values correspond to winter and to the northwest. For the whole area, linear trend analyses show that TCC did not vary during the study period. We only detected a statistically significant positive trend (+1.2% decade−1) in autumn. We obtained different results for the regions delimited by means of a principal component analysis: a clear decrease, both for the annual, spring, and summer series, was detected for the south of Black Sea, while increasing TCC was found for the annual, autumn, and winter series in the north Caucasus and the west and north of Black Sea. We also analysed the TCC data from global gridded products, including satellite projects [International Satellite Cloud Climatology Project (ISCCP), Pathfinder Atmospheres Extended (PATMOS‐x), cLoud, Albedo & Radiation (CLARA)], reanalyses [ERA‐interim, National Centers for Environmental Prediction/Department of Energy (NCEP/DOE), Modern‐Era Retrospective Analysis for Research and Applications (MERRA)], and surface observations [Climatic Research Unit (CRU)]. Although all these products capture the seasonal evolution over the study area, they differ substantially both among them and in relation to the ground observations: reanalyses produce much lower values of TCC, while ISCCP and CLARA provide a summer minimum that is too high. Trend analyses applied to these data generally showed a decrease in TCC; only CRU and NCEP/DOE tally with the ground data as regards the absence of overall trends. These results are discussed in relation to previous studies presenting trends of other variables such as sunshine duration, diurnal temperature range, or precipitation; we also discuss the connections with changes in synoptic patterns and environmental changes, in particular in the Aral Sea region.

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Section: Resultssupporting

confidence: 53%

Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products

Calbó

Badosa

González

et al. 2015

Intl Journal of Climatology

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“…Gulev et al (2007a) provided estimates of sampling uncertainties for radiation fluxes and thus also required the presence of cloudiness in the reports. However, the sampling density of cloudiness is quite similar to that of the other variables (see, e.g., Bedacht et al 2007), and in practice the number of reports used in this study was just 2% higher compared to that employed by Gulev et al (2007a).…”

Section: Data and Preprocessingsupporting

confidence: 54%

Probability Distribution Characteristics for Surface Air–Sea Turbulent Heat Fluxes over the Global Ocean

Gulev

Belyaev

2012

Journal of Climate

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To analyze the probability density distributions of surface turbulent heat fluxes, the authors apply the twoparametric modified Fisher-Tippett (MFT) distribution to the sensible and latent turbulent heat fluxes recomputed from 6-hourly NCEP-NCAR reanalysis state variables for the period from 1948 to 2008. They derived the mean climatology and seasonal cycle of the location and scale parameters of the MFT distribution. Analysis of the parameters of probability distributions identified the areas where similar surface turbulent fluxes are determined by the very different shape of probability density functions.

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“…climate model evaluation (e.g., Bedacht et al, 2007;Wilkinson et al, 2008). Cloud breakdowns within our study focus on the diurnal to seasonal controls on these CF estimates.…”

Section: Arm Mobile Facility Cloud Observationsmentioning

confidence: 99%

Cloud characteristics, thermodynamic controls and radiative impacts during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment

et al. 2017

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Abstract. Routine cloud, precipitation and thermodynamic observations collected by the Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) and Aerial Facility (AAF) during the 2-year US Department of Energy (DOE) ARM Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) campaign are summarized. These observations quantify the diurnal to large-scale thermodynamic regime controls on the clouds and precipitation over the undersampled, climatically important Amazon basin region. The extended ground deployment of cloud-profiling instrumentation enabled a unique look at multiple cloud regimes at high temporal and vertical resolution. This longerterm ground deployment, coupled with two short-term aircraft intensive observing periods, allowed new opportunities to better characterize cloud and thermodynamic observational constraints as well as cloud radiative impacts for modeling efforts within typical Amazon "wet" and "dry" seasons.

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Intercomparison of global cloud cover fields over oceans from the VOS observations and NCEP/NCAR reanalysis

Cited by 43 publications

References 39 publications

Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products

Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products

Probability Distribution Characteristics for Surface Air–Sea Turbulent Heat Fluxes over the Global Ocean

Cloud characteristics, thermodynamic controls and radiative impacts during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment

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