On the calculation of solar radiation fluxes in the troposphere

Joseph, Joachim H.

doi:10.1016/0038-092x(71)90006-5

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…The solar radiation is computed from a formulation due to Joseph [1966Joseph [ , 1971 and Arakawa et al [1968]. It is assumed that the radiation of wavelength greater than 0.9 #m is subject to absorption, while the radiation of wavelength less than 0.9 #m is subject to Rayleigh scattering only.…”

Section: Solar Radiationmentioning

confidence: 99%

A simple thermal model of the Earth's surface for geologic mapping by remote sensing

Kahle

1977

J. Geophys. Res.

141

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Thermal inertia of the earth's surface can be used in geologic mapping as a complement to surface reflectance data as provided by Landsat. Thermal inertia cannot be determined directly but must be inferred from radiation temperature measurements (by thermal IR sensors) made at various times in the diurnal cycle, combined with a model of the surface heating processes. We have developed a model which differs from models created previously for this purpose, because it includes sensible and latent heating. Tests of this model using field data indicate that it accurately determines the surface heating. When the model is used with field measurements of meteorological variables and is combined with remotely sensed temperature data, a thermal inertia image can be produced.

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Section: Solar Radiationmentioning

confidence: 99%

A simple thermal model of the Earth's surface for geologic mapping by remote sensing

Kahle

1977

J. Geophys. Res.

141

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“…This carried an emissivity or absorptivity lookup table-based scheme, Joseph (1970) and Katayama (1972). A first attempt failed to simulate the diurnal differences in precipitation between the Tibetan Plateau and the eastern foothills of the Himalayas.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Diurnal Change Using a Multimodel Superensemble. Part I: Precipitation

Krishnamurti

Gnanaseelan

Chakraborty

2007

Monthly Weather Review

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Modeling the geographical distribution of the phase and amplitude of the diurnal change is a challenging problem. This paper addresses the issues of modeling the diurnal mode of precipitation over the Tropics. Largely an early morning precipitation maximum over the oceans and an afternoon rainfall maximum over land areas describe the first-order diurnal variability. However, large variability in phase and amplitude prevails even within the land and oceanic areas. This paper addresses the importance of a multimodel superensemble for much improved prediction of the diurnal mode as compared to what is possible from individual models. To begin this exercise, the skills of the member models, the ensemble mean of the member models, a unified cloud model, and the superensemble for the prediction of total rain as well as its day versus night distribution were examined. Here it is shown that the distributions of total rain over the earth (tropical belt) and over certain geographical regions are predicted reasonably well (RMSE less than 18%) from the construction of a multimodel superensemble. This dataset is well suited for addressing the diurnal change. The large errors in phase of the diurnal modes in individual models usually stem from numerous physical processes such as the cloud radiation, shallow and deep cumulus convection, and the physics of the planetary boundary layer. The multimodel superensemble is designed to reduce such systematic errors and provide meaningful forecasts. That application for the diurnal mode appears very promising. This paper examines some of the regions such as the Tibetan Plateau, the eastern foothills of the Himalayas, and the Amazon region of South America that are traditionally difficult for modeling the diurnal change. In nearly all of these regions, errors in phase and amplitude of the diurnal mode of precipitation increase with the increased length of forecasts. Model forecast errors on the order of 6-12 h for phase and 50% for the amplitude are often seen from the member models. The multimodel superensemble reduces these errors and provides a close match (RMSE Ͻ 6 h) to the observed phase. The percent of daily rain and their phases obtained from the multimodel superensemble at 3-hourly intervals for different regions of the Tropics showed a closer match (pattern correlation about 0.4) with the satellite estimates. This is another area where the individual member models conveyed a much lower skill.

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Tropospheric aerosols: effects upon the surface and surface-atmosphere radiation budgets

Konyukh¹,

Yurevich²,

Cess³

et al. 1979

Journal of Quantitative Spectroscopy and Radiative Transfer

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On the calculation of solar radiation fluxes in the troposphere

Cited by 8 publications

References 12 publications

A simple thermal model of the Earth's surface for geologic mapping by remote sensing

A simple thermal model of the Earth's surface for geologic mapping by remote sensing

Prediction of the Diurnal Change Using a Multimodel Superensemble. Part I: Precipitation

Tropospheric aerosols: effects upon the surface and surface-atmosphere radiation budgets

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