The CRU work is based on collecting sets of measurements from around the world, and producing
a gridded temperature dataset from this.
Not exact matches
That is, if there are no
temperature measurements in a 5 deg latitude by 5 deg longitude
grid for a given month, that
grid is left blank in the HADCRUT4
dataset.
Read your quote again: «
grid - box
temperature anomaly (from the base period 1961 - 90)
datasets» A
grid - box anomaly
dataset is a computed average, not an original record.
The Television and Infrared Obser vation Satellite (TIROS) Operational Vertical Sounder Polar Pathfinder (TOVS Path - P)
dataset provides nearly 20 yr (1979 - 98) of satellite - derived,
gridded surface skin
temperatures for the Arctic region north of 60N.
Bob, «every sea surface
temperature dataset is prepared in absolute terms» Yes, it is, and has to be, in
gridded form.
For each of these subsets, we calculated the
gridded mean
temperature trends using the three different versions of the U.S. Historical Climatology Network
dataset, i.e., the Unadjusted, the Partially adjusted and Fully adjusted versions.
Using the 2013 year - end major
temperature datasets listed in that expert discussion, the above
grid table (click on to enlarge) represents the lack of statistically - significant warming for each
dataset.
In regards the
gridded network» stations, I have been informed that the Climate Research Unit's (CRU) monthly mean surface
temperature dataset has been constructed principally from data available on the two websites identified in my letter of 12 March 2007.
The simulations were evaluated using the spline - interpolated
dataset ANUSPLIN, a daily observational
gridded surface
temperature and precipitation product with a nominal resolution of approximately 10 km.
The GISTEMP
dataset provides
gridded global
temperature estimates covering almost the entire planet over recent decades: This data allows us to estimate the effect of poor coverage in the other
datasets.
To expand the coverage of global
gridded reanalyses, the 20th Century Reanalysis Project is an effort led by PSD and the CIRES at the University of Colorado to produce a reanalysis
dataset spanning the entire twentieth century, assimilating only surface observations of synoptic pressure, monthly sea surface
temperature and sea ice distribution.
The BoM believes that to gauge the extent of heat across Australia, the most appropriate
dataset to use is AWAP which uses daily
gridded data from all available and unhomogenised
temperature measurements from around 700 stations daily.
These
datasets include: NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface
Temperature (OISST) Analysis, Version 2 AVHRR Pathfinder Version 5.2 Level 3 Collated (L3C) Global 4 km Sea Surface
Temperature (SST) Climate Data Record (CDR) for 1981 - 2010 NOAA Climate Data Record (CDR) of
Gridded Satellite Data from ISCCP B1 (GridSat - B1) 11 micron Brightness
Temperature, Version 2 NCDC Storm Events Database Coastal Economic Trends for Coastal Geographies Demographic Trends (1970 - 2010) for Coastal Geographies FEMA HAZUS Critical Facilities for Coastal Geographies Time - Series Data for Self - Employed Economic Activity Dependent on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 Time - Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 (Sector and Industry Level) Time - Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 (Sector Level)... Continued