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Seasonal and Inter-annual Variations of Polar Cloud Cover. Seiji Kato 1 , Norman G. Loeb 2 , Patrick Minnis 3 , Jennifer A. Francis 4 , Thomas P. Charlock 3 , David A. Rutan 5 , Eugene E. Clothiaux 6 , Szedung Sun-Mack 5 , and Fred Rose 5
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Seasonal and Inter-annual Variations of Polar Cloud Cover Seiji Kato1, Norman G. Loeb2, Patrick Minnis3, Jennifer A. Francis4, Thomas P. Charlock3, David A. Rutan5, Eugene E. Clothiaux6, Szedung Sun-Mack5, and Fred Rose5 1 Hampton University, 2 National Institute of Aeronautics 3 NASA Langley Research Center, 4 Rutgers University, 5 Analytical Service & Materials, Inc, 6 the Pennsylvania State University GEWEX Cloud Assessment July 7-8, 2006 Madison, Wisconsin
Outline • Comparison of cloud fraction over the Arctic (60N-90N)and Antarctic (60S-90S). • Comparison with ground-based data. • Consistency check of cloud detection using CERES multi-angle observations. • Cloud and radiation trend over the Arctic.
Data • Terra SSF Ed2B_Rev1 from March 2000 through Feb. 2004 and Aqua Ed1B from Aug.2002 through Feb. 2004. • TOVS cloud retrieval from J. Francis • MODIS collection4. • ISCCP (D2). • Area-weighted mean values over the Arctic (60-90N) and over the Antarctic (60-90S).
Seasonal Variations, Cloud Cover Arctic Antarctic Snow/Sea ice Snow/Sea ice
Seasonal variation Clouds over Ocean and Land Day + Night CERES ed2B and MODIS collection 4
Antarctic Retrieved from MODIS radiances by the CERES cloud algorithm
Summary: Seasonal Cloud Variation • The cloud fraction from MODIS over the Arctic changes from 0.8 In summer to 0.5 In winter. • The cloud fraction over land and ocean in the Arctic show a similar seasonal variation. • The cloud fraction over the Antarctic does not show much seasonal variations. • A larger difference in the winter cloud fraction than the summer cloud fraction (less than 10%).
Comparison with Cloud Occurrence Derived from Ground-based Active Sensors Day + Night clouds over Barrow, AK March 2000 – Feb. 2004 CERES: CERES cloud algorithm Radar: Millimeter Cloud Radar Lasers: micro-pulse lidar Vaisala celometer
Smaller Difference in Cloud Occurrence Clear day
Cloud Vertical Profile Daytime Barrow, AK
Seasonal Cloud Cover over Barrow, AK(March 2000 – Feb. 2004)
Comparison with LW anomaly Barrow CERES Correlation coefficient = 0.57 NyAlesund (Norway) CERES Correlation coefficient = 0.40 Solid circle: Cloud Open square: Downward longwave
Terra-Aqua CERES Cloud Algorithm Difference Aqua detection has more Colder clear-sky scenes
CERES-MODIS collocation MODIS pixels CERES footprint Clear scenes can be viewed from different angles by CERES
Daytime Trends Over the Arctic 2.0±2.0 W m-2 0.047±0.041 (0.016 Summer 0.033 Spring by Wang and Key, J. Climate, 2005) -0.064±0.055 At a 80% confidence level
Cloud trend over Barrow derived from lidars From March 2000 through Feb. 2004
Cloud trend between March 2000-Feb. 2004 Day Day +Night
Summary • The cloud fraction over the Arctic changes from 0.8 in summer to 0.5 in winter. • The cloud fractions over land and ocean in the Arctic show a similar seasonal variation. • The cloud fraction over the Antarctic does not show a large seasonal variation. • A larger difference in the winter cloud fraction than the summer cloud fraction (less than 10%). • The range of optical thickness has to defined for polar cloud fraction comparison. • The daytime cloud fraction over the Arctic from March 2000 through February 2004 increased at a rate of 0.047 decade. • The corresponding top-of-atmosphere (TOA) shortwave irradiances decreases at a rate of –2W m^-2, but the trend is less statistically significant. • The cloud fraction and TOA shortwave irradiance over the Antarctic show no significant trend during the same period.