The two longest ones are of temperature near the Earth's surface: a vast network of weather
stations over land areas, and ship data from the oceans.
Not exact matches
Over the last 25 years we have built kennels, an office, bathing
station, isolation and quarantine
areas, Little Dog
Land, Happy Sutherlin's Meet & Greet Garden, exercise yards, surgical rooms and veterinary facility to help us care for our dogs and give them love and shelter while we find them their forever homes.
Presuming that we want to be able to compare weather records
over time without having to adjust or note for changes in exposure and
land use and ground cover, it is best to locate weather
stations over natural ground cover, and in an
area not likely to experience significant changes in ground cover in the foreseeable future.
The Folland and Parker bias estimates have been shown to compare well to coastal
land temperature
stations and used to drive atmosphere only GCMs that have reproduced the
land temperature variations
over large
areas of the world (See Folland et al. 2005 for more details, copy here: http://www.metoffice.gov.uk/hadobs/hadsst3/references.html).
«The Folland and Parker bias estimates have been shown to compare well to coastal
land temperature
stations and used to drive atmosphere only GCMs that have reproduced the
land temperature variations
over large
areas of the world».
The same should be true for climate change we should evaluate the changes in temperature (not anomalies)
over time at the same
stations and present the data as a spaghetti graph showing any differing trends and not assume that regional or climates in gridded
areas are the same — which they are not as is obvious from the climate zones that exist or microclimates due to changes in precipitation,
land use etc..