Of course, as they point out «because rainfall is such a variable element, trend values are highly
dependent on the start and end dates of the
analysis» and the fact they are simply using linear interpolation it is very difficult to derive anything meaningful in terms of
climate change from just one map.
This is the day - to - day experience of modellers in engineering, and I'm not at all surprised that
climate scientists use similar approaches in their GCM modelling, which is just time -
dependent finite element
analysis.
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