Modeling shortwave radiative fluxes from satellites

[1] During the last two decades, significant progress has been made in assessing the Earth Radiation Balance from satellite observations. Yet, satellite based estimates differ from each other and from those provided by numerical models. Major issues are related to quality of satellite observations, such as the frequent changes in satellite observing systems, degradation of sensors, restricted spectral intervals and viewing geometry of sensors, and changes in the quality of atmospheric inputs that drive the inference schemes. To reduce differences among the satellite based estimates requires, among others, updates to inference schemes so that most recent auxiliary information can be fully utilized. This paper reports on improvements introduced to a methodology developed at the University of Maryland to estimate shortwave (SW) radiative fluxes within the atmosphere system from satellite observations, the implementation of the approach with newly available auxiliary information, evaluation of the downwelling SW flux against ground observations, and comparison with independent satellite methods and numerical models. Specifically, introduced are: new Narrow to Broadband (N/B) transformations and new Angular Distribution Models (ADM) for clear and cloudy sky that incorporate most recent land use classifications; improved aerosol treatment; separation of clouds by phase; improved sun-earth geometry; and implementation at 0.5° spatial resolution at 3-hourly intervals integrated to daily and monthly time scales. When compared to an earlier version of the model as implemented at 2.5° at global scale and against observations from the globally distributed Baseline Surface Radiation Network (BSRN) stations for a period of six years (at monthly time scale), the bias was reduced from 8.6 (4.6%) to −0.5 (0.3%) W/m2, the standard deviation from 16.6 (8.9%) to 14.5 (7.8%) W/m2while the correlation remained high at 0.98 in both cases. Evaluation was also done over oceanic sites as available from the Pilot Research Moored Array in the Tropical Atlantic (PIRATA) moorings and from the Tropical Atmosphere Ocean/Triangle Trans-Ocean Buoy Network (TAO/TRITON) moorings in the tropical Pacific Ocean. Overall, results over oceans were not as good as over land for all the satellite retrievals compared in this study.

[1]  Kevin E. Trenberth,et al.  Atmospheric Moisture Transports from Ocean to Land and Global Energy Flows in Reanalyses , 2011 .

[2]  C. H. Whitlock,et al.  Radiative flux opens new window on climate research , 1995 .

[3]  Gary G. Gibson,et al.  A Climatology of Surface Radiation Budget Derived from Satellite Data , 1999 .

[4]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[5]  J. Schmetz Retrieval of surface radiation fluxes from satellite data , 1991 .

[6]  Rachel T. Pinker,et al.  Shortwave radiative fluxes from MODIS: Model development and implementation , 2009 .

[7]  Johannes Schmetz,et al.  Relationship between Solar Net Radiative Fluxes at the Top of the Atmosphere and at the Surface , 1993 .

[8]  Michael,et al.  THE PIRATA PROGRAM , 2008 .

[9]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[10]  W. Rossow,et al.  ISCCP Cloud Data Products , 1991 .

[11]  E. Dutton,et al.  Do Satellites Detect Trends in Surface Solar Radiation? , 2004, Science.

[12]  Paul Poli,et al.  The ERA-Interim archive, version 2.0 , 2011 .

[13]  J. London THE DISTRIBUTION OF RADIATIONAL TEMPERATURE CHANGE IN THE NORTHERN HEMISPHERE DURING MARCH , 1952 .

[14]  M. Mcphaden,et al.  The upper ocean heat balance in the western equatorial Pacific warm pool during September–December 1992 , 1997 .

[15]  L. A. Pakhomov,et al.  The ScaRaB-Resurs Earth Radiation Budget Dataset and First Results , 2001 .

[16]  K. Trenberth,et al.  Earth's annual global mean energy budget , 1997 .

[17]  N. Robinson Solar radiation , 2020, Advanced Remote Sensing.

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

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

[20]  Paul W. Stackhouse,et al.  Modelling the direct effect of aerosols in the solar near-infrared on a planetary scale , 2006 .

[21]  W. Paul Menzel,et al.  Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS , 2003, IEEE Trans. Geosci. Remote. Sens..

[22]  S. Schubert,et al.  MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications , 2011 .

[23]  Thomas P. Charlock,et al.  The CERES/ARM/GEWEX Experiment (CAGEX) for the Retrieval of Radiative Fluxes with Satellite Data , 1996 .

[24]  Zhanqing Li,et al.  Global climatologies of solar radiation budgets at the surface and in the atmosphere from 5 years of ERBE data , 1993 .

[25]  B. Holben,et al.  A global view of aerosols from merged transport models, satellite, and ground observations : Global aerosol system , 2005 .

[26]  Relationship between downwelling surface shortwave radiative fluxes and sea surface temperature over the tropical Pacific : AMIP II models versus satellite estimates , 2008 .

[27]  S. Warren,et al.  A Model for the Spectral Albedo of Snow. I: Pure Snow , 1980 .

[28]  R. Pinker,et al.  Estimating surface longwave radiative fluxes from satellites utilizing artificial neural networks , 2012 .

[29]  A. Ohmura,et al.  First global WCRP shortwave surface radiation budget dataset , 1995 .

[30]  C. Long,et al.  Techniques and Methods used to determine the Best Estimate of Radiation Fluxes at SGP Central Facility , 2002 .

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

[32]  F. Taylor,et al.  Radiation and climate , 2007 .

[33]  B. McArthur,et al.  Baseline surface radiation network (BSRN/WCRP) New precision radiometry for climate research , 1998 .

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

[35]  W. Paul Menzel,et al.  Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS) , 1992, IEEE Trans. Geosci. Remote. Sens..

[36]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[37]  D. Randall,et al.  Mission to planet Earth: Role of clouds and radiation in climate , 1995 .

[38]  Bruce A. Wielicki,et al.  Surface insolation trends from satellite and ground measurements: Comparisons and challenges , 2009 .

[39]  S. Warren,et al.  Optical constants of ice from the ultraviolet to the microwave. , 1984, Applied optics.

[40]  Hengmao Wang,et al.  How good are ocean buoy observations of radiative fluxes? , 2009 .

[41]  W. Collins,et al.  The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation , 2001 .

[42]  A. Silva,et al.  Assimilation of Satellite Cloud Data into the GMAO Finite-Volume Data Assimilation System Using a Parameter Estimation Method. Part I: Motivation and Algorithm Description , 2007 .

[43]  P. Jones,et al.  The Twentieth Century Reanalysis Project , 2009 .

[44]  Patrick Minnis,et al.  Temporal Interpolation Methods for the Clouds and the Earth’s Radiant Energy System (CERES) Experiment , 1998 .

[45]  Q. Fu An Accurate Parameterization of the Infrared Radiative Properties of Cirrus Clouds for Climate Models , 1996 .

[46]  R. Kuhlemann,et al.  Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module , 2004 .

[47]  Patrick Minnis,et al.  Comparison of regional clear-sky albedos inferred from satellite-observations and model computations , 1986 .

[48]  Rachel T. Pinker,et al.  Revisiting satellite radiative flux computations at the top of the atmosphere , 2012 .

[49]  D. Corney,et al.  The Geostationary Earth Radiation Budget project , 2005 .

[50]  Hongqing Liu,et al.  Radiative fluxes from satellites: Focus on aerosols , 2008 .

[51]  B. Barkstrom,et al.  Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment , 1996 .

[52]  Andrew A. Lacis,et al.  Calculation of surface and top of atmosphere radiative fluxes from physical quantities based on ISCCP data sets: 1. Method and sensitivity to input data uncertainties , 1995 .

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

[54]  Michael D. King,et al.  Clouds and the Earth's Radiant Energy System (CERES): algorithm overview , 1998, IEEE Trans. Geosci. Remote. Sens..

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

[56]  William B. Rossow,et al.  Normalization and calibration of geostationary satellite radiances for the International Satellite Cloud Climatology Project , 1993 .

[57]  E. Matthews,et al.  Atlas of Archived Vegetation, Land-use and Seasonal Albedo Data Sets , 1985 .

[58]  M. Webb,et al.  Observations of the Earth's Radiation Budget in relation to atmospheric hydrology. 4: Atmospheric column radiative cooling over the world's oceans , 1994 .

[59]  R. M. Welch,et al.  The Effects of Very Large Drops on Cloud Absorption. Part I: Parcel Models , 1984 .

[60]  William B. Rossow,et al.  Update of Radiance Calibrations for ISCCP , 1997 .

[61]  Antonio J. Busalacchi,et al.  The Tropical Ocean‐Global Atmosphere observing system: A decade of progress , 1998 .

[62]  S. Kobayashi,et al.  The JRA-25 Reanalysis , 2007 .

[63]  M. Chin,et al.  Synthesis of information on aerosol optical properties , 2008 .

[64]  David R. Doelling,et al.  Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth’s Radiant Energy System Instrument on the Terra Satellite. Part II: Validation , 2005 .

[65]  R. Penndorf,et al.  Tables of the Refractive Index for Standard Air and the Rayleigh Scattering Coefficient for the Spectral Region between 0.2 and 20.0 μ and Their Application to Atmospheric Optics , 1957 .

[66]  Steven A. Ackerman,et al.  A Shortwave Parameterization Revised to Improve Cloud Absorption , 1984 .

[67]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[68]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .

[69]  Fabrice Hernandez,et al.  THE PIRATA PROGRAM History, Accomplishments, and Future Directions * , 2008 .