Time series are also shown using REP estimate (black solid lines), which are not affected by shifts in
the mean climatology (B11).
Gray contours in (b) represent
the mean climatology of temperature.
Longitude / depth cross-sections of temperature (shading) and currents (vectors) averaged over 2.5 ˚S -2.5 ˚N for (a)
mean climatology (1980 - 2010) and (b) the linear trends during 1990 - 2009.
This transient drift in
the mean climatology of the network must be estimated and removed from the spatial - average time series in order to perform any meaningful comparison with homogenised datasets.
The movement of a site to a location with a slightly different
mean climatology will also result in spurious changes to the data.
The mean climatology of MYI at the end of May (inset figure) shows concentrations of MYI that exceed 6 - tenths along most of the northern route and down through McClintock Channel, which is the main entrance to the southern shipping route.
The strength of the combined feedback is found to be robust across GCMs, despite significant inter-model differences, for example, in
the mean climatology of water vapour (see Section 8.6.2.3).»
You even reduce the systematic biases somewhat because it turns out that this is also somewhat randomly distributed (i.e.
the mean climatology of all the models is a better fit to the real climatology than any one of them).
First, we look at
the mean climatology (i.e. are the large scale features of the climate reasonably modelled?
Not exact matches
«The authors find that the simulation of the present - day
mean cloud
climatology for this region in the GCMs is very poor and that the cloud — climate feedbacks vary widely among the GCMs.
The estimated DJFM Antarctic sea ice extent
climatology for the period 1897 — 1917, with and without the inclusion of the Worby and Comiso offset (an offset between where satellites and human observers view the sea ice edge), is plotted alongside time series of DJFM
mean sea ice extent calculated from HadISST2.2, NASA Team and NASA Bootstrap sea ice datasets.
Using long - term data from the U.S Historical
Climatology Network (USHCN) and preliminary data from the Climate Division Database, the U.S. nationally averaged temperature during October was 56.9 °F (13.8 °C) which was 2.1 °F (1.2 °C) above the 1901 - 2000 long - term
mean, tied for 9th warmest on record.
Models are compared primarily to the current
climatology and all of the adjusting goes into getting the
mean climate / seasonal cycle etc. correct.
If you define a
climatology (say 1951 - 1980, or 1931 - 1980), calculate the seasonal
mean and standard deviation at each grid point for this period, and then normalise the departures from the
mean, you will get something that looks very much like a Gaussian «bell - shaped» distribution.
A related, common confusion is the
meaning of statistical significance in all fields, not just
climatology.
Is that the sum total of evidence that is
meant to convince us that
climatology is barking up the wrong tree?
«The global
mean latent heat flux is required to exceed 80 W m — 2 to close the surface energy balance in Figure 2.11, and comes close to the 85 W m — 2 considered as upper limit by Trenberth and Fasullo (2012b) in view of current uncertainties in precipitation retrieval in the Global Precipitation
Climatology Project (GPCP, Adler et al., 2012)(the latent heat flux corresponds to the energy equivalent of evaporation, which globally equals precipitation; thus its magnitude may be constrained by global precipitation estimates).
Climatologies of sea level anomalies (> 0.05 m) and daily -
mean storm surges (> 0.3 m) are presented for the 1960 — 2010 cool seasons (October — April) along the East Coast of the United States.
... This study uses the GFDL GCM in conjunction with monthly
mean sulfate
climatology from the MOZART chemistry - transport model and relates cloud droplet number concentrations to sulfate mass concentrations using an empirical relationship [Boucher and Lohmann, 1995].
No, bender, just understanding computer modeling doesn't
mean you understand
climatology as well, any more than someone who can program a runge - kutta differential equation solver but never took an astronomy course can do solar modeling.
[Response: Basically, the term «
climatology» is used to
mean the «
mean climate» and provide a kind of reference level.
The
means over the most recent
climatology period (1981 - 2010) range from 287.2 to 287.7 K.
Maybe it
means they're doing a good job following the guidelines set out by Wigley for statistical analysis in
climatology.
This
means that to assess the extent of urbanization bias in each of the groups» estimates, we can safely limit our analysis to the Historical
Climatology Network...
«When initialized with states close to the observations, models «drift» towards their imperfect
climatology (an estimate of the
mean climate), leading to biases in the simulations that depend on the forecast time.
This is called the «
climatology»,
meaning the long - term average values of various climate variables.
HotSpots were computed as positive anomalies above the
mean temperature of the climatologically warmest month at each satellite data pixel, based on the NOAA operational
climatology from years 1985 — 1990 and 1993.
The source of the monthly
mean station temperatures for the GISS analysis is the Global Historical
Climatology Network (GHCN) of Peterson and Vose [1997] and updates, available electronically, from the National Climatic Data Center (NCDC).
During the past century land use change has given rise to regional changes in the local surface
climatology, particularly the
mean and variability of near surface temperature (Pitman et al, 2012).
The normal sea level pressure
climatology for the summer Arctic has been a flat field or a weak monthly
mean low pressure center over the Arctic.
The full quote: «Figure 1 shows the 5 - month running
mean SST time series for the Niño 3 and 3.4 regions relative to a base period
climatology of 1950 — 79 given in Table 1.
PA — Do you understand what «derived from a
climatology»
means?
But what this also
means is that palaeo
climatology has to start all over again, from scratch and that is even before 1830 and the observations of Louis Agassiz about Ice ages.
Top panel shows the
mean temperature trend difference between the urban stations and the rural stations in the U.S. Historical
Climatology Network for the Fully adjusted release (taken from our Urbanization bias III paper).
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.
Lindzen has published a couple of hundred papers in
climatology, so I think we can assume he knows that the statement «there has been no statistically significant warming since 1995»
means nothing more than «given the variability in the data, we need at least 15 observations to reject the null hypothesis at 95 per cent confidence», a fact so trite as not to be worth mentioning.
We also show a recent «
climatology» value calculated using
mean daily sea ice concentrations for the period 2003 - 2012 from the National Snow and Ice Data Center (NSIDC), and the IFD values so far in 2014 (up to day 231).
[4] The aspects of each of these measures that are used as predictors are their
climatology (the 2001 - 2015
mean), the magnitude (standard deviation) of their seasonal cycle, and monthly variability (standard deviation of their deseasonalized monthly values).
Which bears out my main contention here — that there is now an overlap, at 2C, between mainstream
climatology and lukewarmers, and the next step is to go see what a 2C elevation
means in terms of economic functioning of the human species.
Can someone please tell me what the abbreviation «pdf»
means in
climatology?
With this final correction, the ERBS Nonscanner - observed decadal changes in tropical
mean LW, SW, and net radiation between the 1980s and the 1990s now stand at 0.7, -2.1, and 1.4 W m ^ 2, respectively, which are similar to the observed decadal changes in the High - Resolution Infrared Radiometer Sounder (HIRS) Pathfinder OLR and the International Satellite Cloud
Climatology Project (ISCCP) version FD record but disagree with the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder ERB record.
These are all cell
mean values on a grid with 37 latitudes and 72 longitudes, giving nine predictor fields each with 2664 values for three aspects (
climatology, seasonal cycle and monthly variability) for each of three variables (OLR, OSR and N).
The inset on the bottom left shows the
climatology mean concentration of old ice (figure courtesy of Stephen Howell, Environment Canada); yellow = 6 to 7 tenths old ice, orange = 8 to 9 tenths old ice, red = 9 to 10 tenths old ice.
Obtain high - resolution
climatologies of maximum, minimum, and
mean temperature and precipitation in British Columbia, on a monthly and annual basis at 30 arc second (~ 1 km) resolution (developed using PRISM).
It showed that, despite all the money thrown at «
climatology», none ofof them had bothered to check whether their primary
means of data collection... the basis for all of their work and theories... was based on solid ground.
This rather simple method is based on a single
mean cycle profile and is thus of «
climatology» type.
Evidences for a quasi 60 - year North Atlantic Oscillation since 1700 and its
meaning for global climate change Published in Theoretical Applied
Climatology (DOI 10.1007 / s00704 -011-0499-4) last august
The wide range of studies conducted with the ISCCP datasets and the changing environment for accessing datasets over the Internet suggested the need for the Web site to provide: 1) a larger variety of information about the project and its data products for a much wider variety of users [e.g., people who may not use a particular ISCCP data product but could use some ancillary information (such as the map grid definition, topography, snow and ice cover)-RSB-; 2) more information about the main data products in several different forms (e.g., illustrations of the cloud analysis method) and more flexible access to the full documentation; 3) access to more data summaries and diagnostic statistics to illustrate research possibilities for students, for classroom use by educators, or for users with «simple»
climatology questions (e.g., annual and seasonal
means); and 4) direct access to the complete data products (e.g., the whole monthly
mean cloud dataset is now available online).
To compare our Standard 5X5 reconstruction with modern
climatology, we aligned the stack's
mean for the interval 510 to 1450 yr B.P. (where yr B.P. is years before 1950 CE) with the same interval's
mean of the global Climate Research Unit error - in - variables (CRU - EIV) composite temperature record (2), which is, in turn, referenced to the 1961 — 1990 CE instrumental
mean (Fig. 1A).»
«To compare our Standard5 × 5 reconstruction with modern
climatology, we aligned the stack's
mean for the interval 510 to 1450 yr B.P. (where yr B.P. is years before 1950 CE) with the same interval» smean of the global Climate Research Unit error - in - variables (CRU - EIV) composite temperature record (2), which is, in turn, referenced to the 1961 — 1990 CE instrumental
mean (Fig. 1A).»