Abstract:Abstract. Ocean surface represents roughly 70 % of the Earth's surface, playing a large role in the partitioning of the energy flow within the climate system. The ocean surface albedo (OSA) is an important parameter in this partitioning because it governs the amount of energy penetrating into the ocean or reflected towards space. The old OSA schemes in the ARPEGE-Climat and LMDZ models only resolve the latitudinal dependence in an ad hoc way without an accurate representation of the solar zenith angle dependen… Show more
“…Over the ocean, SURFEX resolves the exchange of momentum, energy, and water across the air‐sea interface. The radiative properties of the seawater are handled by the ocean surface albedo scheme proposed by Séférian et al (). The turbulent fluxes of momentum, heat, and water are computed using an improved version of the Exchange Coefficients from Unified Multi‐campaigns Estimates (ECUME) scheme.…”
This paper describes the main characteristics of CNRM-CM6-1, the fully coupled atmosphere-ocean general circulation model of sixth generation jointly developed by Centre National de Recherches Météorologiques (CNRM) and Cerfacs for the sixth phase of the Coupled Model Intercomparison Project 6 (CMIP6). The paper provides a description of each component of CNRM-CM6-1, including the coupling method and the new online output software. We emphasize where model's components have been updated with respect to the former model version, CNRM-CM5.1. In particular, we highlight major improvements in the representation of atmospheric and land processes. A particular attention has also been devoted to mass and energy conservation in the simulated climate system to limit long-term drifts. The climate simulated by CNRM-CM6-1 is then evaluated using CMIP6 historical and Diagnostic, Evaluation and Characterization of Klima (DECK) experiments in comparison with CMIP5 CNRM-CM5.1 equivalent experiments. Overall, the mean surface biases are of similar magnitude but with different spatial patterns. Deep ocean biases are generally reduced, whereas sea ice is too thin in the Arctic. Although the simulated climate variability remains roughly consistent with CNRM-CM5.1, its sensitivity to rising CO 2 has increased: the equilibrium climate sensitivity is 4.9 K, which is now close to the upper bound of the range estimated from CMIP5 models.
“…Over the ocean, SURFEX resolves the exchange of momentum, energy, and water across the air‐sea interface. The radiative properties of the seawater are handled by the ocean surface albedo scheme proposed by Séférian et al (). The turbulent fluxes of momentum, heat, and water are computed using an improved version of the Exchange Coefficients from Unified Multi‐campaigns Estimates (ECUME) scheme.…”
This paper describes the main characteristics of CNRM-CM6-1, the fully coupled atmosphere-ocean general circulation model of sixth generation jointly developed by Centre National de Recherches Météorologiques (CNRM) and Cerfacs for the sixth phase of the Coupled Model Intercomparison Project 6 (CMIP6). The paper provides a description of each component of CNRM-CM6-1, including the coupling method and the new online output software. We emphasize where model's components have been updated with respect to the former model version, CNRM-CM5.1. In particular, we highlight major improvements in the representation of atmospheric and land processes. A particular attention has also been devoted to mass and energy conservation in the simulated climate system to limit long-term drifts. The climate simulated by CNRM-CM6-1 is then evaluated using CMIP6 historical and Diagnostic, Evaluation and Characterization of Klima (DECK) experiments in comparison with CMIP5 CNRM-CM5.1 equivalent experiments. Overall, the mean surface biases are of similar magnitude but with different spatial patterns. Deep ocean biases are generally reduced, whereas sea ice is too thin in the Arctic. Although the simulated climate variability remains roughly consistent with CNRM-CM5.1, its sensitivity to rising CO 2 has increased: the equilibrium climate sensitivity is 4.9 K, which is now close to the upper bound of the range estimated from CMIP5 models.
“…This parameterisation has been used to derive ocean surface albedo (e.g. Séférian et al, 2018) and to generate satellite NO 2 products (e.g. Laughner et al, 2018).…”
Abstract. An improved tropospheric nitrogen dioxide (NO2) retrieval algorithm from the Global Ozone Monitoring Experiment-2 (GOME-2) instrument based on air mass factor (AMF) calculations performed with more realistic model parameters is presented. The viewing angle dependency of surface albedo is taken into account by improving the GOME-2 Lambertian-equivalent reflectivity (LER) climatology with a directionally dependent LER (DLER) dataset over land and an ocean surface albedo parameterisation over water. A priori NO2 profiles with higher spatial and temporal resolutions are obtained from the IFS (CB05BASCOE) chemistry transport model based on recent emission inventories. A more realistic cloud treatment is provided by a clouds-as-layers (CAL) approach, which treats the clouds as uniform layers of water droplets, instead of the current clouds-as-reflecting-boundaries (CRB) model, which assumes that the clouds are Lambertian reflectors. On average, improvements in the AMF calculation affect the tropospheric NO2 columns by ±15 % in winter and ±5 % in summer over largely polluted regions. In addition, the impact of aerosols on our tropospheric NO2 retrieval is investigated by comparing the concurrent retrievals based on ground-based aerosol measurements (explicit aerosol correction) and the aerosol-induced cloud parameters (implicit aerosol correction). Compared with the implicit aerosol correction utilising the CRB cloud parameters, the use of the CAL approach reduces the AMF errors by more than 10 %. Finally, to evaluate the improved GOME-2 tropospheric NO2 columns, a validation is performed using ground-based multi-axis differential optical absorption spectroscopy (MAXDOAS) measurements at different BIRA-IASB stations. At the suburban Xianghe station, the improved tropospheric NO2 dataset shows better agreement with coincident ground-based measurements with a correlation coefficient of 0.94.
“…Parameterizations of spectral SSA have also been developed, in which the SSA depends on the spectral distribution of the direct and diffuse solar radiation at the sea surface (Jin et al, 2004;Séférian et al, 2018). These parameterizations need to solve complex atmospheric and oceanic radiative transfer equation (Clough et al, 2005;Jin et al, 2011;Mlawer et al, 1997;Ohlmann et al, 2000), and therefore, it is beyond the scope of this article.…”
The broadband sea surface albedo (SSA) was observed from a fixed sea platform in the South China Sea. This observation period lasted approximately 152 days and included a wide range of atmospheric and oceanic conditions. Under clear‐sky conditions, the observed SSA increased significantly with the increase in the solar zenith angle at low solar altitudes, while the SSA changed little under high Sun. Under cloudy skies, however, the SSA was negligibly dependent on the solar zenith angle. The observed SSA was also influenced by atmospheric and oceanic conditions, in which it increased with increasing winds or surface waves and decreased with increasing water vapor pressure at the sea surface. An empirical parameterization of the broadband SSA was proposed based on these observations, in which the SSA was a function of the solar zenith angle, wind speed or significant wave height, and water vapor pressure. The correlation coefficients between the predicted SSA and the observations reached 0.95, 0.94, and 0.88 in clear skies, mixed skies, and cloudy skies, respectively. Finally, the root‐mean‐square deviations were only 0.009, 0.015, and 0.011 in these three sky conditions, respectively.
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