Sentences with phrase «coverage uncertainty estimate»

The coverage uncertainty estimate has also been upgraded to capture some of the seasonal cycle in the uncertainty.

Not exact matches

One interesting feature of the HadCRUT4 paper is the use of the NCEP / NCAR reanalysis data to obtain an estimate for the coverage uncertainty.
The remaining nine events (i.e., the 8 severe storm events and wildfire) have lower potential uncertainty surrounding their estimate due to more complete insurance coverage and data availability.
A better approach would be to use a window of months about the current month to obtain a time - dependent estimate of both the bias and the uncertainty due lack of coverage.
In 2017, seven of the sixteen billion - dollar events (i.e., the 2 inland flooding events, drought, freeze and hurricanes Harvey, Irma and Maria) have higher potential uncertainty values around the loss estimates due to less coverage of insured assets and data latency.
Lyman and colleagues combined different ocean monitoring groups» data sets, taking into account different sources of bias and uncertainty — due to researchers using different instruments, the lack of instrument coverage in the ocean, and different ways of analyzing data used among research groups — and put forth a warming rate estimate for the upper ocean that it is more useful in climate models.
Given that there is greater uncertainty associated with the HadCRUT data prior to 1900 due to fewer stations and sparser global coverage, and that the TCR constrained by 1901 - 2000 data better matches the IPCC central TCR estimates, their higher TCR (approximately 1.7 to 2.5 °C) seems more likely to be correct.
The hunch was that the uncertainty estimates are too small in the nineteenth century and suggested that this was due to incomplete coverage uncertainties being underplayed.
UHA is also an estimate using different instruments, estimating different figures, with different coverage, and also carries with it different uncertainties.
My main critique of their uncertainty analysis is the issue of structural uncertainty and specifically their estimate of the uncertainty associated with incomplete 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 early times.
The station data coverage in this region is poor for the E-OBS, which contributes to a relatively large uncertainty in precipitation and temperature estimates for this region in the E-OBS dataset.
Many historical in situ marine data still remain to be digitised and incorporated into the database, to improve coverage and reduce the uncertainties in our estimates of marine climatic variations.
It should be noted that their estimate of uncertainty relates mostly to the spatial sampling, or sparse data coverage.
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