Gridded datasets take point measurements of climate variables and then combines them in one of the following ways: Averaging climate values or anomolies of the stations located within a grid's cell Interpolation of climate or anomolies, which is based on the distance between the stations the values are collected from Interpolation that not only is …
Continue reading Climate Change 101: Gridded Datasets of Upper Atmospheric Measurements
If you're new to climate systems, meteorology, or biophysical science in general, take a look here to get some good background knowledge: http://www.physicalgeography.net The major components in the climate system is an interlocking relationship between the following: Atmosphere Hydrophere (oceans, lakes, rivers) Cryosphere (snow and ice) Lithosphere (land surface and "deep" Earth) Marine and terrestrial …
Continue reading Climate Change 101: The Climate System’s Dynamic Relationship
Reanalysis mathematically blends together all the products from multiple observing systems and then assimilates them. This process includes algorithms for quality control of the raw satellite data, as well as space and time interpolation schemes and a global operational forecasting model. The assimilation system then removes artificial trends introduced by the updates. Afterall, more is …
If the first discussion on climate services and their inhomogeneities didn't scare you enough, let me just throw this out there: The U.S. measures surface observations at 1.5 meters above the ground while the rest of the world measures at 2 meters above. **USA! USA! O.k., o.k., but let's talk about specifics. You've also hopefully …
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