Sentences with phrase «best spatial coverage»

These use instruments to measure radiance from Earth to determine temperature, and they tend to have quite good spatial coverage of the planet (excluding some high - latitude regions).

But use enough weather stations, and your answer is not only better because you have better spatial coverage, but because errors — even pretty large errors — in one of the weather stations probably won't affect your result.

Not exact matches

Statisticians can advise on how best to combine data from different sources, how to identify and adjust for biases in different measurement systems, and how to deal with changes in the spatial and temporal coverage of measurements.

In general, spatial and temporal coincidences offered by the Dobson and Brewer networks are sufficient to cover a wide geographical extent for the validation of a satellite sensor, however, with better coverage over land with respect to sea and over the Northern Hemisphere compared to the Southern Hemisphere.

To make use of that potential we would need good estimates of sea ice thickness, such as might be obtained from ICESat or CryoSat (i.e., complete spatial coverage).

Spatial sampling uncertainties were estimated by simulating poorly sampled periods (e.g. 1753 to 1850) with modern data (1960 to 2010) for which the Earth coverage was better than 97 % complete, and measuring the departure from the full site average when using only the limited spatial regions available at earlySpatial sampling uncertainties were estimated by simulating poorly sampled periods (e.g. 1753 to 1850) with modern data (1960 to 2010) for which the Earth coverage was better than 97 % complete, and measuring the departure from the full site average when using only the limited spatial regions available at earlyspatial regions available at early times.

The difference in the latter aspect is most likely due to improvement in the spatial — temporal coverage of the data used in this study, as well as the details of data processing procedures.

For example, satellite - derived estimates based on thermal infrared measurements (e.g. Comiso 2000; Kwok and Comiso 2002; Schneider et al. 2004) provide broad spatial coverage, but depend on effective cloud masking, and provide at best a clear - sky dataset that is generally cold biased.

* In February, 2006 NCDC transitioned to the use of an improved Global Land and Ocean data set (Smith and Reynolds analysis (2005)-RRB- which incorporates new algorithms that better account for factors such as changes in spatial coverage and evolving observing methods.

The challenges are finding a good enough measure of urbanity, dealing with uncertainty in station locations (a problem in many areas outside the U.S., where lat / lon coordinates aren't always accurate), and ensuring that your method doesn't suffer from spatial coverage biases between urban and rural sets (I tend to prefer station pair comparison methods for that reason).

Finally, better spatial / temporal coverage is a main prerequisite for improving current knowledge of global rainfall over the complete diurnal cycle.

VIIRS will also dramatically improve on MODIS and SeaWiFS spatial resolution (via a patented OLS - like17 detector aggregation technique) and global coverage (via a 40 percent wider imaging swath), while offering comparable absolute radiometry and sensitivity as well as the long - term stability required by the IORD to support CDRs.

To say that the pre-satellite humidity trends are correct, despite the many changes in instrumentation, despite the changes in spatial and temporal resolution (but still almost no ocean coverage), despite the known problems with NCEP model bias, and despite that it has been wrong throughout the satellite era... well, it's ludicrous.