Scene Identification and Its Effect on Cloud Radiative Forcing in the Arctic

Measurements of cloud radiative forcing in polar regions are less reliable than at lower latitudes because of the difficulty in distinguishing between clouds and ice- or snow-covered surfaces. Scene identification can, however, be improved by using multispectral narrow-band radiances. Comparisons were made between scenes identified by the Earth Radiation Budget Experiment (ERBE) algorithm and those deduced from Advanced Very High Resolution Radiometer (AVHRR) radiances in the Arctic for 4 days in July 1985. It was found that they differ significantly from each other both in geotype and in cloud cover. For instance, regions of clear fractional sea ice according to the AVHRR analysis are assigned as being cloudy over open ocean by the ERBE analysis owing to incorrect specification of the sea ice extent. Zonal averages over 2.5 o wide bands, of fluxes over clear and cloudy regions and hence also cloud forcing, are determined over the Arctic using radiances measured by the AVHRR on NOAA 9 to identify the nature of the scene and the ERBE radiometer to provide broadband radiances. Results are compared with fluxes and cloud forcing determined solely from ERBE radiometer data. Over the southern portion of the domain, where fractional sea ice was prevalent, the ERBE-based values of net cloud forcing were as much as 50 W m '2 smaller than values determined when the scene identification was based on AVHRR measurements. At higher latitudes the ERBE-estimated cloud forcing was larger than that from the AVHRR, and the magnitude of the difference was smaller.

[1]  Stanley Q. Kidder,et al.  Dramatic Contrast between Low Clouds and Snow Cover if Daytime 3.7 Imagery , 1984 .

[2]  Bruce A. Wielicki,et al.  Cloud Identification for ERBE Radiative Flux Retrieval , 1989 .

[3]  Patrick Minnis,et al.  Angular radiation models for Earth-atmosphere system. Volume 1: Shortwave radiation , 1988 .

[4]  K. Kidwell NOAA polar orbiter data (TIROS-N, NOAA-6, NOAA-7, NOAA-8, NOAA-9, and NOAA-10) users guide , 1986 .

[5]  Takashi Yamanouchi,et al.  Detection of clouds in Antarctica from infrared multispectral data of AVHRR , 1987 .

[6]  J. Key,et al.  Cloud cover analysis with Arctic Advanced Very High Resolution Radiometer data: 2. Classification with spectral and textural measures , 1990 .

[8]  Philip A. Durkee,et al.  Snow/Cloud Discrimination with Multispectral Satellite Measurements , 1990 .

[9]  B. Barkstrom,et al.  Cloud-Radiative Forcing and Climate: Results from the Earth Radiation Budget Experiment , 1989, Science.

[10]  Elizabeth E. Ebert,et al.  Analysis of Polar Clouds from Satellite Imagery Using Pattern Recognition and a Statistical Cloud Analysis Scheme , 1989 .

[11]  Ronald M. Welch,et al.  Solar Radiation and Clouds , 1980 .

[12]  E. Raschke The International Satellite Cloud Climatology Project, ISCCP, and its European Regional Experiment ICE (International Cirrus Project) , 1988 .

[13]  L. Lauritson,et al.  Data extraction and calibration of TIROS-N/NOAA radiometers , 1979 .

[14]  Roger Davies,et al.  Reflected solar radiances from broken cloud scenes and the interpretation of scanner measurements , 1984 .

[15]  Veerabhadran Ramanathan,et al.  Comparison of cloud forcing derived from the Earth Radiation Budget Experiment with that simulated by the NCAR Community Climate Model , 1990 .

[16]  A. R. Harrison,et al.  Multi-spectral classification of snow using NOAA AVHRR imagery , 1989 .

[17]  Thomas C. Grenfell,et al.  The Optical Properties of Ice and Snow in the Arctic Basin , 1977, Journal of Glaciology.

[18]  E. Raschke,et al.  The radiation balance of the earth-atmosphere system from Nimbus 3 radiation measurements , 1973 .

[19]  Roger G. Barry,et al.  Cloud cover analysis with Arctic AVHRR data: 1. Cloud detection , 1989 .

[20]  Thomas P. Charlock,et al.  The Albedo Field and Cloud Radiative Forcing Produced by a General Circulation Model with Internally Generated Cloud Optics , 1985 .

[21]  Dennis L. Hartmann,et al.  Earth Radiation Budget data and climate research , 1986 .

[22]  H. J. Zwally,et al.  Concentration gradients and growth/decay characteristics of the seasonal sea ice cover , 1984 .

[23]  R. Frouin,et al.  Observations of a poleward surface current off the coasts of Portugal and Spain during winter , 1990 .

[24]  D. E. Bowker,et al.  Spectral reflectances of natural targets for use in remote sensing studies , 1985 .

[25]  S. Twomey,et al.  Spectral Reflectance of Clouds in the Near-Infrared: Comparison of Measurements and Calculations , 1982 .

[26]  G. Gesell,et al.  An algorithm for snow and ice detection using AVHRR data An extension to the APOLLO software package , 1989 .

[27]  Bruce A. Wielicki,et al.  Inversion methods for satellite studies of the Earth's Radiation Budget: Development of algorithms for the ERBE Mission , 1986 .

[28]  Gerald L. Potter,et al.  Exploratory studies of cloud radiative forcing with a general circulation model , 1987 .

[29]  G. Smith,et al.  Investigation of scene identification algorithms for radiation budget measurements , 1989 .

[30]  Larry L. Stowe,et al.  Reflectance characteristics of uniform Earth and cloud surfaces derived from NIMBUS‐7 ERB , 1984 .

[31]  Donald K. Perovich,et al.  Spectral albedos of sea ice and incident solar irradiance in the southern Beaufort Sea , 1984 .

[32]  R. Saunders,et al.  An improved method for detecting clear sky and cloudy radiances from AVHRR data , 1988 .