Chapter 3 – Physically Based Satellite Methods

Ephemeral clouds and atmospheric aerosols pose the greatest challenges in exploiting sunlight as a viable (both stable and reliable) source of energy. The passage of cloud shadows across a solar array results in significant fluctuations, or ramps, in available energy, while scattering aerosols redistribute direct and diffuse components of solar irradiance in a subtle but pervasive and more sustained way. The timescales of these fluctuations are highly diverse, varying from seconds, in the case of fair-weather cumulus clouds, to hours, in the case of a prefrontal cirrus shield, and to days or more in association with aerosol loading within a synoptic-scale air mass. The spectrum of spatial scale for aerosol and cloud parameters is broad, and monitoring from terrestrially based systems is an inherently ill-posed problem from the standpoints of cost and coverage. Here, satellite-based observations, particularly those from geostationary platforms capable of monitoring the temporal evolution of clouds, provide unique and indispensable capabilities with regard to solar-energy forecasting and resource assessment. In this chapter, we provide a high-level cross-section of environmental satellite observing systems and considerations for their application to quantitative, physically based estimates of solar irradiance at the surface for use in solar forecasting.

[1]  W. Rossow,et al.  The International Satellite Cloud Climatology Project (ISCCP): The First Project of the World Climate Research Programme , 1983 .

[2]  W. Rossow,et al.  Advances in understanding clouds from ISCCP , 1999 .

[3]  Steven J. Nieman,et al.  Upper-Tropospheric Winds Derived from Geostationary Satellite Water Vapor Observations , 1997 .

[4]  Ehrhard Raschke,et al.  A modified two-stream approximation for computations of the solar radiation budget in a cloudy atmosphere , 1978 .

[5]  Y. Kaufman,et al.  Passive remote sensing of tropospheric aerosol and atmospheric , 1997 .

[6]  J. Hansen,et al.  Light scattering in planetary atmospheres , 1974 .

[7]  Rachel T. Pinker,et al.  Modeling Surface Solar Radiation: Model Formulation and Validation , 1985 .

[8]  C. Schillings,et al.  Operational method for deriving high resolution direct normal irradiance from satellite data , 2004 .

[9]  Lucien Wald,et al.  Estimating Incident Solar Radiation at the Surface from Images of the Earth Transmitted by Geostationary Satellites: the Heliosat Project , 1987 .

[10]  H. Treut,et al.  THE CALIPSO MISSION: A Global 3D View of Aerosols and Clouds , 2010 .

[11]  E. Mlawer,et al.  Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .

[12]  William S. Chandler,et al.  Supporting Energy-Related Societal Applications Using NASAs Satellite and Modeling Data , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[13]  C. Gueymard Clear-sky irradiance predictions for solar resource mapping and large-scale applications: Improved validation methodology and detailed performance analysis of 18 broadband radiative models , 2012 .

[14]  Andi Walther,et al.  Implementation of the Daytime Cloud Optical and Microphysical Properties Algorithm (DCOMP) in PATMOS-x , 2012 .

[15]  Catherine Gautier,et al.  SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere. , 1998 .

[16]  H. Guillard,et al.  A method for the determination of the global solar radiation from meteorological satellite data , 1986 .

[17]  Taneil Uttal,et al.  Daytime Global Cloud Typing from AVHRR and VIIRS: Algorithm Description, Validation, and Comparisons , 2005 .

[18]  K. Stamnes,et al.  Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. , 1988, Applied optics.

[19]  Johannes Schmetz,et al.  Towards a surface radiation climatology: retrieval of downward irradiances from satellites , 1989 .

[20]  R. Pinker,et al.  Modeling Surface Solar Irradiance for Satellite Applications on a Global Scale , 1992 .

[21]  J. Joseph,et al.  The delta-Eddington approximation for radiative flux transfer , 1976 .

[22]  A. F. Hasler,et al.  Automatic Analysis of Stereoscopic Satellite Image Pairs for Determination of Cloud-Top Height and Structure , 1991 .

[23]  L. Wald,et al.  The method Heliosat-2 for deriving shortwave solar radiation from satellite images , 2004 .

[24]  C. Gueymard Parameterized transmittance model for direct beam and circumsolar spectral irradiance , 2001 .

[25]  E. Raschke,et al.  An Improvement of the IGMK Model to Derive Total and Diffuse Solar Radiation at the Surface from Satellite Data , 1990 .

[26]  J. Key,et al.  Tools for Atmospheric Radiative Transfer: Streamer and FluxNet. Revised , 1998 .

[27]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[28]  Catherine Gautier,et al.  Improvements to a Simple Physical Model for Estimating Insolation from GOES Data , 1983 .

[29]  J. D. Tarpley Estimating Incident Solar Radiation at the Surface from Geostationary Satellite Data , 1979 .

[30]  S. Kondragunta,et al.  Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance , 2005 .

[31]  G. Stephens Cloud Feedbacks in the Climate System: A Critical Review , 2005 .

[32]  M. Iqbal An introduction to solar radiation , 1983 .

[33]  Tobias Wehr,et al.  A 3D cloud‐construction algorithm for the EarthCARE satellite mission , 2011 .

[34]  Robert Frouin,et al.  A review of satellite methods to derive surface shortwave irradiance , 1995 .

[35]  W. L. Darnell,et al.  Estimation of surface insolation using sun-synchronous satellite data , 1988 .

[36]  Y. Kerr,et al.  Satellite Estimation of Solar Irradiance at the Surface of the Earth and of Surface Albedo Using a Physical Model Applied to Metcosat Data , 1987 .

[37]  Steven Platnick,et al.  Vertical Photon Transport in Cloud Remote Sensing Problems , 2013 .

[38]  Stanley Q. Kidder,et al.  Satellite Meteorology: An Introduction , 1995 .

[39]  C. Gueymard REST2: High-performance solar radiation model for cloudless-sky irradiance, illuminance, and photosynthetically active radiation – Validation with a benchmark dataset , 2008 .

[40]  Michael J. Pavolonis,et al.  Gazing at Cirrus Clouds for 25 Years through a Split Window. Part I: Methodology , 2009 .

[41]  W. Paul Menzel,et al.  INTRODUCING THE NEXT-GENERATION ADVANCED BASELINE IMAGER ON GOES-R , 2005 .

[42]  Arunas P. Kuciauskas,et al.  NexSat: Previewing NPOESS/VIIRS Imagery Capabilities , 2006 .

[43]  James J. Simpson,et al.  Improved Cloud Top Height Retrieval under Arbitrary Viewing and Illumination Conditions Using AVHRR Data , 2000 .

[44]  E. O'connor,et al.  The CloudSat mission and the A-train: a new dimension of space-based observations of clouds and precipitation , 2002 .

[45]  P. Ineichen A broadband simplified version of the Solis clear sky model , 2008 .

[46]  Andi Walther,et al.  A Naive Bayesian Cloud-Detection Scheme Derived fromCALIPSOand Applied within PATMOS-x , 2012 .