Premium
Intercomparison of global cloud cover fields over oceans from the VOS observations and NCEP/NCAR reanalysis
Author(s) -
Bedacht Ernst,
Gulev Sergey K.,
Macke Andreas
Publication year - 2007
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.1490
Subject(s) - cloud cover , climatology , environmental science , latitude , atmosphere (unit) , atmospheric research , meteorology , cloud computing , geography , geology , geodesy , computer science , operating system
The paper inter‐compares the total cloud cover over the World Ocean from marine visual observations assimilated in the International Comprehensive Ocean‐Atmosphere Data Set (ICOADS) and National Centers of Environmental Prediction/National Center of Atmospheric Research (NCEP‐NCAR) reanalysis. The Intercomparison covers the period from 1948 to 2002. NCEP‐NCAR reanalysis shows about 10% of fractional cloud cover smaller than the visual observations do. The largest differences are observed in the mid and sub‐polar latitudes. In the tropics, NCEP‐NCAR data show slightly higher cloud cover then ICOADS. These systematic differences are quite persistent through the year with somewhat stronger differences in summer. Comparison of the characteristics of inter‐annual variability shows little consistency between visually observed total cloud cover and total cloudiness diagnosed by the reanalysis. Linear trends are primarily positive in the ICOADS cloud data, while in the NCEP‐NCAR reanalysis they show downward trends in the tropics and upward tendencies in the mid and high latitudes. Analysis of the effect of sampling in ICOADS shows that sampling inhomogeneity cannot fully explain the disagreements observed. At the same time, the major climate variability patterns such as North Atlantic Oscillation (NAO) and El‐Nino—Southern Oscillation (ENSO) are well captured in both ICOADS and NCEP‐NCAR cloud cover data sets. Copyright © 2007 Royal Meteorological Society