AbstractAccurate global cloud information is required for many climate studies, particularly for validation of climate model simulations. This paper reviews the cloud climatologies currently available, identifying and attempting to explain the differences between various global cloud assessments. The two types of cloud observations used to construct a cloud climatology, conventional surface observations and satellite-derived observations, are contrasted. Meridional profiles of zonally-averaged total cloud amount and the geographic distribution of total cloud amount from 17 cloud data sets are compared. There is at present no unique andor agreed global cloud climatology. This review emphasizes the uncertainty and inaccuracies associated with the present knowledge of the global cloud distribution. Cloud climatologies constructed from either surface or satellite cloud observations will not be identical. The range of cloud amount available from current cloud climatologies must be noted by all users of global cloud data sets.
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera