A new parameterization of spectral and broadband ocean surface albedo

Jin, Zhonghai; Qiao, Yusen; Wang, Yingjian; Fang, Yonghua; Yi, Weining

doi:10.1364/oe.19.026429

Cited by 67 publications

(70 citation statements)

References 13 publications

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“…Butenschön et al, 2016) should enable biophysical feedbacks on the radiation attenuation to be considered. It would also be possible to use an estimate of the near-surface ocean chlorophyll and sediments to modify the sea surface albedo, and feed back directly on the surface radiation balance computed within the MetUM following Jin et al (2011).…”

Section: Heat Exchangementioning

confidence: 99%

The UKC2 regional coupled environmental prediction system

et al. 2018

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Abstract. It is hypothesized that more accurate prediction and warning of natural hazards, such as of the impacts of severe weather mediated through various components of the environment, require a more integrated Earth System approach to forecasting. This hypothesis can be explored using regional coupled prediction systems, in which the known interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land can be simulated. Such systems are becoming increasingly common research tools. This paper describes the development of the UKC2 regional coupled research system, which has been delivered under the UK Environmental Prediction Prototype project. This provides the first implementation of an atmosphere-land-ocean-wave modelling system focussed on the United Kingdom and surrounding seas at km-scale resolution. The UKC2 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean waves (WAVEWATCH III). These components are coupled, via OASIS3-MCT libraries, at unprecedentedly high resolution across the UK within a north-western European regional domain. A research framework has been established to explore the representation of feedback processes in coupled and uncoupled modes, providing a new research tool for UK environmental science. This paper documents the technical design and implementation of UKC2, along with the associated evaluation framework. An analysis of new results comparing the output of the coupled UKC2 system with relevant forced control simulations for six contrasting case studies of 5-day duration is presented. Results demonstrate that performance can be achieved with the UKC2 system that is at least comparable to its component control simulations. For some cases, improvements in air temperature, sea surface temperature, wind speed, significant wave height and mean wave period highlight the potential benefits of coupling between environmental model components. Results also illustrate that the coupling itself is not sufficient to address all known model issues. Priorities for future development of the UK Environmental Prediction framework and component systems are discussed.

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Section: Heat Exchangementioning

confidence: 99%

The UKC2 regional coupled environmental prediction system

et al. 2018

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“…The albedo of the ocean surface is a function of the wavelength, the solar zenith angle, the 10 m wind speed and the chlorophyll content according to the Jin et al (2011) parametrisation. The emitted LW radiation is calculated using a prescribed emissivity for each 10 surface type.…”

Section: Land Surface and Hydrology: Global Land 70mentioning

confidence: 99%

“…GL7 implements the OSA parametrisation of Jin et al (2011), which has the advantage of including an additional dependence on wavelength as well as on the 10 m wind speed and chlorophyll content. The wavelength and chlorophyll content dependency of the optical properties are taken from lookup tables of data from Jin et al (2011).…”

Section: Improved Parametrisation Of the Ocean Surface Albedo (Gl Ticmentioning

confidence: 99%

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The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations

Walters¹,

Baran²,

Boutle³

et al. 2017

Preprint

111

154

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Abstract. We describe Global Atmosphere 7.0 and Global Land 7.0 (GA7.0/GL7.0): the latest science configurations of the Met Office Unified Model and JULES land surface model developed for use across weather and climate timescales. GA7.0 and GL7.0 include incremental developments and targeted improvements that between them address four critical errors identified in previous configurations: excessive precipitation biases over India, warm/moist biases in the tropical tropopause layer, a source of energy non-conservation in the advection scheme and excessive surface radiation biases over the Southern Ocean. They also 5 include two new parametrisations, namely the UKCA Glomap-mode aerosol scheme and the JULES multi-layer snow scheme, which improve the fidelity of the simulation and were required for the coupled climate models and Earth system models that will use these configurations in submissions to CMIP6.In addition, we describe the GA7.1 branch configuration, which reduces an overly negative anthropogenic aerosol effective radiative forcing in GA7.0, whilst maintaining the quality of simulations of the present-day climate. GA7.1/GL7.0 will form 10 the physical atmosphere/land component in the HadGEM3-GC3.1 and UKESM1 climate models.

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“…The uncertainty in the calculation of LWU associated with the estimation of skin temperature, as well as a range of emissivity values from the literature, are also shown in Table 7. Sensitivity studies using the ocean albedo parameterization of Jin et al (2011) suggest 0.055 is a poor approximation for clear skies when albedo is dependent on solar zenith angle but is a close approximation for the diffuse regime (overcast skies), so our usage is consistent with the high cloud fraction during the cruise. Unfortunately, we do not have a good estimate of the diffuse fraction to use for a calculation of albedo, but by comparing an overcast and clear-sky albedo parameterization using the Jin et al (2011) routines, we have added the contribution of cloudiness to the uncertainty in SWU (Table 7).…”

Section: Bulk Flux Calculations and Final Data Setmentioning

confidence: 69%

Central-Pacific surface meteorology from the 2016 El Niño Rapid Response (ENRR) field campaign

Hartten

Cox

Johnston

et al. 2018

Earth Syst. Sci. Data

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, continuous measurements of surface meteorology, sea surface temperature, and downwelling shortwave radiation were made by NOAA Ship Ronald H. Brown. These were largely done in support of the four to eight radiosondes launched each day as the ship travelled from Hawaii to TAO buoy locations along longitudes 140 and 125 • W and then back to port in San Diego, California. The rapid nature of these remote field deployments led to some specific challenges in addition to those common to many surface data collection efforts. This paper documents the two deployments as well as the steps taken to evaluate and process the data. The results are two multi-week surface meteorology data products and one accompanying set of surface fluxes, all collected in the core of the eastern-central Pacific's extremely warm waters. These data sets, plus metadata, are archived at the NOAA's National Centers for Environmental Information (NCEI) and are free for public access: surface meteorology from Kiritimati Island (https://doi.org/10.7289/V51Z42H4); surface meteorology and some surface fluxes from NOAA Ship Ronald H. Brown (https://doi.org/10.7289/V5SF2T80; https://doi.org/10.7289/V58050VP).

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A new parameterization of spectral and broadband ocean surface albedo

Cited by 67 publications

References 13 publications

The UKC2 regional coupled environmental prediction system

The UKC2 regional coupled environmental prediction system

The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations

Central-Pacific surface meteorology from the 2016 El Niño Rapid Response (ENRR) field campaign

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