Comparison of Surface Radiative Flux Parameterizations Part II

Total Page:16

File Type:pdf, Size:1020Kb

Comparison of Surface Radiative Flux Parameterizations Part II Atmospheric Research 58Ž. 2001 141–154 www.elsevier.comrlocateratmos Comparison of surface radiative flux parameterizations Part II. Shortwave radiation Sami Niemela¨¨¨¨), Petri Raisanen, Hannu Savijarvi Department of Meteorology, UniÕersity of Helsinki, PO Box 64, FIN-00014 Helsinki, Finland Received 16 January 2001; accepted 25 April 2001 Abstract This paper presents a comparison of several shortwaveŽ. SW downwelling radiative flux parameterizations with hourly averaged pointwise surface radiation observations made at Jokioinen and Sodankyla,¨ Finland, in 1997. Both clear and cloudy conditions are considered. The clear-sky comparisons included six simple SW parameterizations, which use screen level input data, and three radiation schemes from numerical weather predictionŽ. NWP models: the former European Centre for Medium-Range Weather ForecastŽ. ECMWF scheme, the Deutscher WetterdienstŽ. DWD scheme, and the High Resolution Limited Area Model Ž HIRLAM . scheme. Atmospheric-sounding profiles were used as input for the NWP schemes. For the cases with clouds, three simple cloud correction methodsŽ. mainly dependent on the total cloud cover were tested. In the SW clear-sky comparisons, the relatively simple scheme by Iqbal provided the best results, surprisingly outperforming even the NWP radiation models. Simple cloud corrections performed poorly in the SW region. Out of these schemes, a new cloud correction method developed using the present data provided the best results. q 2001 Elsevier Science B.V. All rights reserved. Keywords: Shortwave radiation; Surface radiative flux; Empirical formulas; Cloud corrections 1. Introduction Downwelling fluxes of longwaveŽ.Ž LW, 4.0–100 mm and shortwave SW, 0.3–4.0 mm. radiation are key terms of the surface energy budget and are vitally important for ) Corresponding author. Fax: q358-9-191-50860. E-mail addresses: [email protected]Ž. S. Niemela¨¨¨ , [email protected] Ž P. Raisanen . , [email protected]Ž. H. Savijarvi¨ . 0169-8095r01r$ - see front matter q2001 Elsevier Science B.V. All rights reserved. PII: S0169-8095Ž. 01 00085-0 142 S. Niemela¨ et al.rAtmospheric Research 58() 2001 141–154 climate studies and many applications such as agricultural meteorology and air–sea–ice interaction studies. In Niemela¨ et al.Ž. 2001 , hereafter Part I, we compared several simple parameterization formulas and radiation codes from numerical weather prediction Ž.NWP models with LW flux observations in Finland. This paper presents a similar SW comparison. The performance of six simple SW clear-sky radiation parameterization schemes and three cloud correction methods is evaluated using data from Jokioinen and Sodankyla,¨ Finland. In addition to the simple parameterizations, three NWP radiation codes are included in the clear-sky intercomparison: the former radiation scheme from the European Centre for Medium-Range Weather ForecastŽ.Ž ECMWF model hereafter EC-OLD; Morcrette, 1991.Ž , the Deutscher Wetterdienst DWD; Ritter and Geleyn, 1992.Ž. scheme and the High Resolution Limited Area Model HIRLAM; Savijarvi,¨ 1990 scheme. 2. Physical background The downwelling shortwave flux at the surface may be written as shown in Eq.Ž. 1 : x s s FSWtScosu teS 0 cosu ,1Ž. s where S eS0 is the incident solar radiation at the top of the atmosphere on a surface s r 2 s perpendicular to the solar beam ŽS0 1367 W m is the solar constant and e 0.967– 1.033 accounts for the seasonal variations of the Earth–Sun distance. , u is the solar zenith angle, and t is a broadband atmospheric transmissivity. The transmissivity can be writtenŽ. neglecting atmospheric refraction and the curvature of Earth as shown in Eq. Ž.2: 1 ` s yt r u q l t H S0,llexpŽ.cos t l,DIF d .2 Ž. S0 0 Here, l is wavelength, tl is the monochromatic optical thickness, the first term within the wavelength integral represents the contribution by the direct solar beam, and the second term represents diffuse solar radiation. It is evident from Eqs.Ž. 1 and Ž. 2 that the solar elevation has a very strong effect on the downwelling flux at the surface. The top-of-the atmosphere insolation on a horizon- tal surface is directly proportional to cosu, and the atmospheric transmissivity, particu- larly its direct beam component, decreases with decreasing cosu as the slant path lengths become larger. The factors contributing to atmospheric attenuation of solar radiation include gaseous absorptionŽ. most importantly, by water vapour and ozone , Rayleigh scattering by air molecules, and scattering and absorption by cloud droplets, ice crystals and aerosols. The total optical thickness tl needed in the computation of direct beam transmission is obtained simply as the sum of the contributions by all of these components. The computation of the diffuse transmissivity tl,DIF is not simple. Physically, diffuse radiation is produced by all atmospheric scattering processes. The diffuse radiation reaching the ground also depends on the surface albedo via atmospheric re-reflection of surface-reflected radiation. S. Niemela¨ et al.rAtmospheric Research 58() 2001 141–154 143 3. Parameterization schemes The simple parameterization schemes presented below in Sections 3.1 and 3.2 are based on empirical relationships derived from observed radiation fluxes. The simplest schemes depend only on the solar zenith angle u while others also use screen level input wx variables such as water vapour pressure e0 hPa . Cloud correctionsŽ. all-sky methods use mainly total cloudiness observations. The NWP SW radiation parameterization schemes are briefly described in Section 3.3. 3.1. The clear-sky flux Six formulasŽŽ.Ž.. Eqs. 3 – 8 are considered for the calculation of the downwelling SW flux in clear-sky conditions. In the first threeŽŽ.Ž.. Eqs. 3 – 5 , only the cosine of the solar zenith angleŽ. cosu is used. Ž.1 The scheme by Bennett Ž 1982 . is the simplest of all. It is based on the assumption that knowledge of the atmospheric mean transmissivity is sufficient for calculating the monthly mean fluxes. Bennett used this scheme shown in Eq.Ž. 3 as: x s FSW,clr0.72S 0 cosu ,3Ž. r 2 where S0 is the solar constantŽ 1367 W m. Here, as in all the following formulas, the unit of the flux is Wrm2 . Eq.Ž. 3 does not take into account the decrease of atmospheric transmissivity with increasing solar zenith angleŽ. i.e. increasing slant path lengths , so it might not be very appropriate for the calculation of hourly values. Ž.2 The method of Paltridge and Platt Ž 1976 . was derived using a long-time series of hourly averaged values of measured SW flux from Aspendale, Australia and is described in Eq.Ž. 4 as: x s q y FSW,clr 10 1411 cosu 310' cosu .4Ž. Ž.3 The formula by Moritz Ž 1978 . , shown in Eq. Ž. 5 , is based on the scheme by Lumb Ž.1964 , which was intended for hourly as well as daily and monthly mean calculations. However, Lumb’s coefficients are very sensitive to local conditions so Moritz derived new coefficients to fit measured data from Baffin Bay, Canada: x s q FSW,clrS 0 cosu Ž.0.47 0.47cosu .5 Ž. wx The next formulasŽŽ.Ž.. Eqs. 6 – 7 add the screen level water vapour pressure e0 hPa as an extra input parameter. The short-time variability of the near-surface humidity is thus taken into account, which should make these formulas better suited for the calculation of instantaneous fluxes than the three previous formulasŽŽ.Ž.. Eqs. 3 – 5 . Ž.4 Zillman Ž 1972 . used radiation data from islands of the Indian Ocean for deriving his scheme shown in Eq.Ž. 6 : 2 S0 cos u Fx s .6 SW,clr q q = y3 q Ž. 1.085cosu e0 Ž.2.7 cosu 10 0.10 Ž.5 Shine Ž 1984 . improved the scheme of Zillman Ž 1972 . by adjusting its coefficients to give better results in arctic winter conditions. Shine noticed that Zillman’s equation 144 S. Niemela¨ et al.rAtmospheric Research 58() 2001 141–154 underestimates the SW fluxes especially in the Arctic regions. Shine’s version of Eq.Ž. 6 is shown as Eq.Ž. 7 : 2 S0 cos u Fx s .7 SW,clr q q = y3 q Ž. 1.2cosu e0 Ž.1.0 cosu 10 0.0455 Ž.6 All the previous schemes are rough approximations; they even ignore the fact that the top-of-the-atmosphere insolation S varies with season due to the elliptical orbit of the Earth. The sixth parameterizationŽ. Iqbal, 1983 is somewhat more detailed than the previous ones. IqbalŽ. 1983 presented a parameterization as shown in Eq. Ž. 8 : x s q FSW,clrS dir D,8Ž. where Sdir is the direct solar radiation on a horizontal surface and D is the diffuse irradiance. The direct radiation is calculated as shown in Eq.Ž. 9 : s Sdir0.9751SŽ.cosu ttttt R g w a o ,9 Ž. where S is the broadband solar radiation at the top of the atmosphere, tR is the transmittance by Rayleigh scattering, tg is the transmittance by uniformly mixed gases, twaois the transmittance by water vapour, t is the transmittance by aerosols and t is the transmittance by ozone. More detailed documentation can be found in IqbalŽ. 1983 . The version used in this paper is based on Venalainen¨¨ Ž. 1994 . Eq. Ž. 10 shows his derived empirical function for the calculation of ta using SW radiation measurements from Jokioinen and Sodankyla:¨ s q y = y4 2 ta 0.59 0.012u 1.336 10 u .10Ž. Moreover, the estimation of the precipitable water content w wxcm , which is used in the calculation of tw , was modified. The precipitable water is originally estimated using wx w x screen levelŽ. sl temperature T00K and water vapour pressure e Pa via Eq.Ž.
Recommended publications
  • Measurement of the Earth Radiation Budget at the Top of the Atmosphere—A Review
    Review Measurement of the Earth Radiation Budget at the Top of the Atmosphere—A Review Steven Dewitte * and Nicolas Clerbaux Observations Division, Royal Meteorological Institute of Belgium, 1180 Brussels, Belgium; [email protected] * Correspondence: [email protected]; Tel.: +32-2-3730624 Received: 25 September 2017; Accepted: 1 November 2017; Published: 7 November 2017 Abstract: The Earth Radiation Budget at the top of the atmosphere quantifies how the Earth gains energy from the Sun and loses energy to space. It is of fundamental importance for climate and climate change. In this paper, the current state-of-the-art of the satellite measurements of the Earth Radiation Budget is reviewed. Combining all available measurements, the most likely value of the Total Solar Irradiance at a solar minimum is 1362 W/m2, the most likely Earth albedo is 29.8%, and the most likely annual mean Outgoing Longwave Radiation is 238 W/m2. We highlight the link between long-term changes of the Outgoing Longwave Radiation, the strengthening of El Nino in the period 1985–1997 and the strengthening of La Nina in the period 2000–2009. Keywords: Earth Radiation Budget; Total Solar irradiance; Satellite remote sensing 1. Introduction The Earth Radiation Budget (ERB) at the top of the atmosphere describes how the Earth gains energy from the sun, and loses energy to space through reflection of solar radiation and the emission of thermal radiation. The ERB is of fundamental importance for climate since: (1) The global climate, as quantified e.g., by the global average temperature, is determined by this energy exchange.
    [Show full text]
  • Chapter 2 Solar and Infrared Radiation Fluxes
    Chapter 2 Solar and Infrared Radiation Chapter overview: • Fluxes • Energy transfer • Seasonal and daily changes in radiation • Surface radiation budget Fluxes Flux (F): The transfer of a quantity per unit area per unit time (sometimes called flux density). A flux can be thought of as the inflow or outflow of a quantity through the side of a fixed volume. Fluxes can occur in all three directions - Fx, Fy, and Fz What is the convention for the sign of a flux? We can consider fluxes of mass or of heat. What are the units for a mass flux or a heat flux? The amount of a quantity transferred through a given area (A) in a given time (Δt) can be calculated as: Amount = F ⋅ A⋅ Δt For a heat flux, the amount of heat transferred is represented by ΔQH. Note: The textbook discusses kinematic fluxes, but we will not discuss fluxes in these terms in ATOC 3050. Unlike the textbook, we will use the symbol F to represent fluxes, not kinematic fluxes. What processes can cause a heat flux? Radiant flux: The radiant energy per unit area per unit time. Radiant energy: Energy transferred by electromagnetic waves (radiation). Radiation emitted by the sun is referred to as solar or shortwave radiation. Shortwave radiation – refers to the wavelength band (< 4 µm) that carries most of the energy associated with solar radiation Solar constant (or total solar irradiance) (S0): The solar radiative flux, perpendicular to the solar beam, that enters the top of the atmosphere -2 S0 = 1366 W m Radiation emitted by the earth is referred to as longwave, terrestrial, or infrared radiation.
    [Show full text]
  • Radiation Exchange Between Surfaces
    Chapter 1 Radiation Exchange Between Surfaces 1.1 Motivation and Objectives Thermal radiation, as you know, constitutes one of the three basic modes (or mechanisms) of heat transfer, i.e., conduction, convection, and radiation. Actually, on a physical basis, there are only two mechanisms of heat transfer; diffusion (the transfer of heat via molecular interactions) and radiation (the transfer of heat via photons/electomagnetic waves). Convection, being the bulk transport of a fluid, is not precisely a heat transfer mechanism. The physics of radiation transport are distinctly different than diffusion transport. The latter is a local phenomena, meaning that the rate of diffusion heat transfer, at a point in space, precisely depends only on the local nature about the point, i.e., the temperature gradient and thermal conductivity at the point. Of course, the temperature field will depend on the boundary and initial conditions imposed on the system. However, the diffusion heat flux at, say, one point in the system does not directly effect the diffusion flux at some distant point. Radiation, on the other hand, is not local; the flux of radiation at a point will, in general, be directly and instantaneously dependent on the radiation flux at all points in a system. Unlike diffusion, radiation can act over a distance. Accordingly, the mathematical description of radiation transport will employ an integral equation for the radiation field, as opposed to the differential equation for heat diffusion. Our objectives in studying radiation in the short amount of time left in the course will be to 1. Develop a basic physical understanding of electromagnetic radiation, with emphasis on the properties of radiation that are relevant to heat transfer.
    [Show full text]
  • A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation
    remote sensing Article A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation Dongdong Wang *, Shunlin Liang , Yi Zhang, Xueyuan Gao, Meredith G. L. Brown and Aolin Jia Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA; [email protected] (S.L.); [email protected] (Y.Z.); [email protected] (X.G.); [email protected] (M.G.L.B.); [email protected] (A.J.) * Correspondence: [email protected]; Tel.: +1-301-405-4567; Fax: +1-301-314-9299 Received: 24 November 2019; Accepted: 27 December 2019; Published: 3 January 2020 Abstract: Surface downward shortwave radiation (DSR) and photosynthetically active radiation (PAR), its visible component, are key parameters needed for many land process models and terrestrial applications. Most existing DSR and PAR products were developed for climate studies and therefore have coarse spatial resolutions, which cannot satisfy the requirements of many applications. This paper introduces a new global high-resolution product of DSR (MCD18A1) and PAR (MCD18A2) over land surfaces using the MODIS data. The current version is Collection 6.0 at the spatial resolution of 5 km and two temporal resolutions (instantaneous and three-hour). A look-up table (LUT) based retrieval approach was chosen as the main operational algorithm so as to generate the products from the MODIS top-of-atmosphere (TOA) reflectance and other ancillary data sets. The new MCD18 products are archived and distributed via NASA’s Land Processes Distributed Active Archive Center (LP DAAC). The products have been validated based on one year of ground radiation measurements at 33 Baseline Surface Radiation Network (BSRN) and 25 AmeriFlux stations.
    [Show full text]
  • The Habitability of Proxima Centauri B: II: Environmental States and Observational Discriminants
    The Habitability of Proxima Centauri b: II: Environmental States and Observational Discriminants Victoria S. Meadows1,2,3, Giada N. Arney1,2, Edward W. Schwieterman1,2, Jacob Lustig-Yaeger1,2, Andrew P. Lincowski1,2, Tyler Robinson4,2, Shawn D. Domagal-Goldman5,2, Rory K. Barnes1,2, David P. Fleming1,2, Russell Deitrick1,2, Rodrigo Luger1,2, Peter E. Driscoll6,2, Thomas R. Quinn1,2, David Crisp7,2 1Astronomy Department, University of Washington, Box 951580, Seattle, WA 98195 2NASA Astrobiology Institute – Virtual Planetary Laboratory Lead Team, USA 3E-mail: [email protected] 4Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064, 5Planetary Environments Laboratory, NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771 6Department of Terrestrial Magnetism, Carnegie Institution for Science, Washington, DC 7Jet Propulsion Laboratory, California Institute of Technology, M/S 183-501, 4800 Oak Grove Drive, Pasadena, CA 91109 Abstract Proxima Centauri b provides an unprecedented opportunity to understand the evolution and nature of terrestrial planets orbiting M dwarfs. Although Proxima Cen b orbits within its star’s habitable zone, multiple plausible evolutionary paths could have generated different environments that may or may not be habitable. Here we use 1D coupled climate-photochemical models to generate self- consistent atmospheres for several of the evolutionary scenarios predicted in our companion paper (Barnes et al., 2016). These include high-O2, high-CO2, and more Earth-like atmospheres, with either oxidizing or reducing compositions. We show that these modeled environments can be habitable or uninhabitable at Proxima Cen b’s position in the habitable zone. We use radiative transfer models to generate synthetic spectra and thermal phase curves for these simulated environments, and use instrument models to explore our ability to discriminate between possible planetary states.
    [Show full text]
  • Radiation Heat Transfer Analysis in Two-Phase Mixture Associated with Liquid
    RADIATION HEAT TRANSFER ANALYSIS IN TWO-PHASE MIXTURE ASSOCIATED WITH LIQUID METAL REACTOR ACCIDENTS Dissertation Submitted to The School of Engineering of the UNIVERSITY OF DAYTON In Partial Fulfillment of the Requirements for The Degree of Doctor of Philosophy in Engineering By Hamza Mohamed Dayton, Ohio May 2020 RADIATION HEAT TRANSFER ANALYSIS IN TWO-PHASE MIXTURE ASSOCIATED WITH LIQUID METAL REACTOR ACCIDENTS Name: Mohammed, Hamza APPROVED BY: Jamie S. Ervin, Ph.D. Kevin P. Hallinan, Ph.D. Doctoral Committee Chair Doctoral Committee Member Chair Professor Mechanical and Aerospace Engineering Mechanical and Aerospace Engineering Andrew Chiasson, Ph.D. Elizabeth A. Ervin, Ph.D. Doctoral Committee Member Doctoral Committee Member Associate Professor Avionics Engineer Mechanical and Aerospace Engineering PE Systems Robert J. Wilkens, Ph.D., P.E. Eddy M. Rojas, Ph.D., M.A., P.E. Associate Dean for Research and Innovation Dean Professor School of Engineering School of Engineering ii ABSTRACT RADIATION HEAT TRANSFER ANALYSIS IN TWO-PHASE MIXTURE ASSOCIATED WITH LIQUID METAL REACTOR ACCIDENTS Name: Mohammed, Hamza University of Dayton Advisor: Prof. Jamie Ervin Analytical study associated with liquid-metal fast breeder reactor (LMFBR) has been investigated by using scattering and non-scattering mathematical radiation models. In the non- scattering model, the radiative transfer equation (RTE) was solved together with the continuity equations of mixture components under local thermodynamic equilibrium. A MATLAB code was used to solve these equations. This application employed a numerical integration to compute the temperature distribution within the bubble and the transient wall heat flux. First, in Rayleigh non- scattering model the particle size was 0.01 µm [6], and according to Mie theory principle, the absorption coefficient for small particle –size distribution was estimated (k = 10 m-1 was used) from reference [7] at complex refractive index of UO2 at λ = 600 µm and x = 0.0785.
    [Show full text]
  • Intensity Wave Length
    Module 9 Radiative Transfer in the Atmosphere 9.1 Introduction It has been emphasized in earlier lectures that energy from Sun drives the circulation of the atmosphere and ocean. Earth receives energy from Sun as ultraviolet, visible and near-infrared radiation. This radiation band is called the short wave radiation or radiation with wavelengths λ < 4 µm . An equal amount of energy is re-emitted by earth to maintain an overall energy balance. Earth emits energy in the form of infrared thermal radiation or longwave radiation with wavelengths λ > 4 µm . These two bands shown in Fig. 9.1 pertain to the wavelength intervals given as, Band 1: Solar spectrum 0.1− 4 µm (1 µm = 10−6 m) Band 2: Infrared region 4 −100 µm Sun Earth Fig. 9.1 Blackbody emission at the temperatures of Sun and Earth. 6000 K 288 K Intensity Overlap region Overlap 0.1 0.5 1 5 10 50 100 Wave length ( µ m ) Microwave radiation is not important for energy balance of the earth, but it finds wide use in remote sensing of the earth system because it is capable of penetrating through clouds. The study of radiative transfer in atmosphere and ocean is important because it leads to (i) a better understanding of energy transfer in these two components of the climate system; and (ii) in interpreting remote sensing measurements from satellites. Radiation is described by flux, intensity and radiance; and there are certain terms also that are frequently used while discussing the mathematics of the radiative transfer. First of all, it is required to calculate a differential amount of radiant energy dEλ ( J ) in a wavelength ( µm ) interval λ and λ + dλ that crosses an area ( m2 ) element dA in time (seconds) interval dt in a direction confined by an arc dω of the solid angle (steradian abbreviated as sr ).
    [Show full text]
  • Chapter 2 Text
    Chapter 2 The Global Energy Balance NON_PRINT ITEMS Abstract In this chapter the key role of the energy balance in determining the climate of Earth is introduced. The emission temperature of a planet and its dependence on planetary albedo and total solar irradiance are described. Simple models of the greenhouse effect are applied. Formulas for the distribution of daily-averaged insolation as a function of latitude and season are derived. Geographic and seasonal variations of the Earth’s top-of-atmosphere radiation balance are shown and discussed. The poleward transport of energy by the ocean and atmosphere are derived from the top-of-atmosphere energy constraint. Key Words Climate; energy budget of Earth; emission temperature of a planet; greenhouse effect; insolation; solar zenith angle; poleward energy transport; . Chapter Starts here 2.1 Warmth and Energy Temperature, a key climate variable, is a measure of the energy contained in the movement of molecules. To understand how the temperature is maintained, one must therefore consider the energy balance that is formally stated in the First Law of Thermodynamics. The basic global energy balance of Earth is between energy coming from the sun and energy returned to space by Earth’s radiative emission. The generation of energy in the interior of Earth has a negligible influence on its energy budget. The absorption of solar radiation takes place mostly at the surface 1 of Earth, whereas most of the emission to space originates in its atmosphere. Because the atmosphere is mostly transparent to solar radiation and mostly opaque to terrestrial emission of radiation, the surface of Earth is much warmer than it would be in the absence of its atmosphere.
    [Show full text]
  • Light Interception and Radiative Exchange in Crop Stands
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Agronomy & Horticulture -- Faculty Publications Agronomy and Horticulture Department 1969 Light Interception and Radiative Exchange in Crop Stands John Monteith University of Nottingham, Loughborough, England Follow this and additional works at: https://digitalcommons.unl.edu/agronomyfacpub Part of the Plant Sciences Commons Monteith, John, "Light Interception and Radiative Exchange in Crop Stands" (1969). Agronomy & Horticulture -- Faculty Publications. 185. https://digitalcommons.unl.edu/agronomyfacpub/185 This Article is brought to you for free and open access by the Agronomy and Horticulture Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Agronomy & Horticulture -- Faculty Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Published in Physiological Aspects of Crop Yield: Proceedings of a symposium sponsored by the University of Nebraska, the American Society of Agronomy, and the Crop Science Society of America, and held at the University of Nebraska, Lincoln, Nebr., January 20-24, 1969. Edited by Jerry D. Eastin, F. A. Haskins, C. Y. Sullivan, C. H. M. Van Bavel, and Richard C. Dinauer (Madison, Wisconsin: American Society of Agronomy & Crop Science Society of America, 1969). Copyright © 1969 American Society of Agronomy & Crop Science Society of America. Used by permission. 5 Light Interception and Radiative Exchange in Crop Stands JOHN L. MONTEITH University of Nottingham Loughborough, England I. RADIATION AND CROPS Crops grow and use water because they intercept radiation from the sun, the .sky, and the atmosphere. Diurnal changes of solar radiation dictate the diurnal course of photosynthesis and transpiration, and the vertical gradient of radiant flux in a canopy is a measure of the absorp­ tion of energy by foliage at different heights.
    [Show full text]
  • Radiative Transfer in Highly Scattering Materials--Numerical Solution and Evaluation of Approximate Analytic Solutions
    RADIATIVE TRANSFER IN HIGHLY SCATTERING MATERIALS--NUMERICAL SOLUTION AND EVALUATION OF APPROXIMATE ANALYTIC SOLUTIONS Kenneth C. Weston*, Albert C. Reynolds, Jr. " .ArifAlikhan* and Daniel W. Drago* The University of Tulsa, Tulsa, Oklahoma 74104 0 z o s z ABSTRACT 01 H 0 on z E Numerical solutions for radiative transport in a class of anisotropically scat- j 0 HS tering materials are presented. Conditions for convergence and divergence of the o tozm iterative method are given and supported by computed results. The relation of two 8- t9- flux theories to the equation of radiative transfer for isotropic scattering is discussed. r_ C bi H ; St The adequacy of the two flux approach for the reflectance, radiative flux and > radiative flux divergence of highly scattering media is evaluated with respect to -"= solutions of the radiative transfer equation. SThe authors gratefully acknowledge support of this work under NASA Grant NGR-37-008-003. The senior author wishes to express his appreciation to Phillip R. Nachtsheim and John T. Howe of NASA Ames Research Center and to Richard W. C Nelson of the Institute of Paper Chemistry for helpful discussions. n * Associate Professor. Member AIAA Lu) W t Assistant Professor o Research Assistants -N B 2 INTRODUCTION Radiative transport theories involving multiple scattering play an important role in the engineering analysis and simulation of the performance of diathermanous materials. Highly scattering dielectric materials have been proposed, for instance, for the entry heat protection of planetary probes [1]. Other applications include the evaluation of the reflectance of condensed deposits on cryogenic storage tanks [2] and the engineering analysis of opacity in the point and paper industry [3].
    [Show full text]
  • Exploring the Climate of Proxima B with the Met Office Unified Model
    ORE Open Research Exeter TITLE Exploring the climate of Proxima B with the Met Office Unified Model AUTHORS Boutle, I; Mayne, NJ; Drummond, B; et al. JOURNAL Astronomy and Astrophysics DEPOSITED IN ORE 27 February 2017 This version available at http://hdl.handle.net/10871/26089 COPYRIGHT AND REUSE Open Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONS The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication Astronomy & Astrophysics manuscript no. proxb c ESO 2017 February 27, 2017 Exploring the climate of Proxima B with the Met Office Unified Model Ian A. Boutle1, Nathan J. Mayne2, Benjamin Drummond2, James Manners1, Jayesh Goyal2, F. Hugo Lambert3, David M. Acreman2 and Paul D. Earnshaw1 1 Met Office, FitzRoy Road, Exeter, EX1 3PB, UK e-mail: [email protected] 2 Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QL, UK 3 Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK February 27, 2017 ABSTRACT We present results of simulations of the climate of the newly discovered planet Proxima Centauri B, performed using the Met Office Unified Model (UM). We examine the responses of both an ‘Earth-like’ atmosphere and simplified nitrogen and trace carbon dioxide atmosphere to the radiation likely received by Proxima Centauri B. Additionally, we explore the effects of orbital eccentricity on the planetary conditions using a range of eccentricities guided by the observational constraints.
    [Show full text]
  • Advances in Top-Of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System (CERES) Satellite Instrument N
    Advances in Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System (CERES) Satellite Instrument N. G. Loeb1*, N. Manalo-Smith2, K. Loukachine3, S. Kato1, B. A. Wielicki4 1Hampton University, Hampton, VA 2Analytical Services and Materials, Inc., Hampton, VA 3Science Application International Corporation, Hampton, VA 4NASA Langley Research Center, Hampton, VA Abstract-This study introduces new CERES Angular rotates in azimuth, thus acquiring radiance measurements Distribution Models (ADMs) for estimating shortwave, from a wide range of viewing configurations. The CERES longwave and window top-of-atmosphere radiative fluxes from instrument on TRMM was shown to provide an broadband radiance measurements. By combining CERES unprecedented level of calibration stability (≈0.25%) between measurements with narrowband, high-resolution imager measurements, up to a factor 4 improvement in TOA flux in-orbit and ground calibration [3]. Unfortunately, the accuracy is achieved compared to TOA flux estimates from CERES/TRMM instrument suffered a voltage converter previous experiments, such as ERBE. anomaly and only acquired 9 months of science data. All nine months of the CERES/TRMM Single Scanner I. INTRODUCTION Footprint TOA/Surface Fluxes and Clouds (SSF) product The clouds and the Earth’s Radiant Energy System between 40°S-40°N from January-August 1998, and March (CERES) investigates the critical role that clouds and 2000, are considered. The CERES SSF product combines aerosols play in modulating the radiative
    [Show full text]