Sentences with phrase «in monthly mean temperature»

Abstract We study trends and temporal correlations in the monthly mean temperature data of Prague and Melbourne derived from four state - of - the - art general circulation models that are currently used in studies of anthropogenic effects on the atmosphere: GFDL - R15 - a, CSIRO - Mk2, ECHAM4 / OPYC3 and HADCM3.

The warm anomalies in June lasted throughout the entire month (increases in monthly mean temperature of up to 6 to 7 °C), but July was only slightly warmer than on average (+1 to +3 °C), and the highest anomalies were reached between 1st and 13th August (+7 °C)(Fink et al., 2004).

There is a difference in monthly mean temperature of 10 °C between the cities of Los Angeles and San Diego.

Not exact matches

Normalised RMS error in simulation of climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.

This figure from the McLean et al (2009) research shows that mean monthly global temperature (MSU GTTA) corresponds in general terms with the Southern Oscillation Index (SOI) of seven months earlier.

Glacier response, at least in part, is due to changes in the freezing level - the elevation where mean monthly temperatures are 0 degrees Celsius (32 degrees Fahrenheit).

The mean monthly minimum temperature in winter is 61F and 75F in summer, with maximums of 82F in winter and 91F in summer.

The mean monthly minimum temperature in winter is 61C and 75C in summer, with maximums of 82C in winter and 91C in summer.

The warming trends in looking at numerous 100 year temperature plots from northern and high elevation climate stations... i.e. warming trends in annual mean and minimum temperature averages, winter monthly means and minimums and especially winter minimum temperatures and dewpoints... indicate climate warming that is being driven by the accumulation of greenhouse gases in the atmosphere — no visible effects from other things like changes in solar radiation or the levels of cosmic rays.

This can be done a number of ways, firstly, plotting the observational data and the models used by IPCC with a common baseline of 1980 - 1999 temperatures (as done in the 2007 report)(Note that the model output is for the annual mean, monthly variance would be larger):

The figure to the left shows the spatial mean temperature over all grid boxes in the HadCRUT3 data set that have continuous monthly coverage over the 1901 - 2008 period.

The warmth was most dramatic in September, which saw a mean temperature anomaly of +2.75 C, setting a new monthly record by more than a degree.

Further analysis showed that the absolute monthly maximum / minimum temperature was poorly correlated with that of the previous month, ruling out depeendency in time (this is also true for monthly mean temperature — hence, «seasonal forecasting» is very difficult in this region).

The results for such a test on monthly absolute minimum / maximum temperatures in the Nordic countries and monthly mean temperatures worldwide are inconsistent with what we would see under a stable climate.

About taking differences (current period figures less prior period figures) of anomalies: the anomalies are the value less the monthly mean (i.e., the mean for the particular month over the years, in this case 32 full years), as is the usual practice with climate data (most notably temperature).

These data show that there has been no change in the mean monthly temperature for solstice months at this site for a century.

An analysis I published in 2004, looking at how often record - high monthly temperatures recur, indicated that record - breaking monthly mean temperature have been more frequent that they would have been if the climate were not getting hotter.

Scientists in Canada have recorded temperatures for the 71 - year peiod from 1936 to 2006, and have seen that mean monthly temperatures have increased enough to provide what they call a «substantial warming signal.»

While the changes in both the mean and higher order statistical moments (e.g., variance) of time - series of climate variables affect the frequency of relatively simple extremes (e.g., extreme high daily or monthly temperatures, damaging winds), changes in the frequency of more complex extremes are based on changes in the occurrence of complex atmospheric phenomena (e.g., hurricanes, tornadoes, ice storms).

Normalised RMS error in simulation of climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.

(c) The global mean (80 ° N to 80 ° S) radiative signature of upper - tropospheric moistening is given by monthly time series of combinations of satellite brightness temperature anomalies (°C), relative to the period 1982 to 2004, with the dashed line showing the linear trend of the key brightness temperature in °C per decade.

During the drought years of 2012 — 2015, mean monthly water temperatures in the freshwater regions of the Delta from April to July were on average higher than between 1995 and 2011 (two - factor ANOVA, Bonferroni corrected P < 0.01), demonstrating the effects of drought on surface water temperatures (Fig. 1B).

In reconstructing the changes in global mean temperature since 1850, Berkeley Earth has examined 16 million monthly average temperature observations from 43,000 weather stationIn reconstructing the changes in global mean temperature since 1850, Berkeley Earth has examined 16 million monthly average temperature observations from 43,000 weather stationin global mean temperature since 1850, Berkeley Earth has examined 16 million monthly average temperature observations from 43,000 weather stations.

A comparison of the long term and short term mean for monthly precipitation and temperature from the eight NOAA State of Washington Division 5 Weather Stations (Cascade Mountains) illustrates three important climate changes in the North Cascades for the 1984 - 1994 period.

Offshore, mean monthly sea surface temperatures range from 15.4 °C to 20.1 °C [3], but in the nearshore upwelling region, variability is greater and temperatures range from 10 °C to 18 °C [4].

When scientists in the 1960s - 70s compiled data to build their global average temperature series they used state averages of monthly mean temperatures from weather stations around the world.

High values of the Hurst exponent of H = 0.66 ± 0.05 for deseasonalized monthly mean surface temperatures in the sample period 1850 - 2015 suggest persistence and long term memory in the temperature time series.

I have mapped the February 2014 mean temperature anomalies in the Environment Canada monthly summaries that have «normals».

An appreciable number of nonurban stations in the United States and Canada have been identified with statistically significant (at the 90 % level) decreasing trends in the monthly mean diurnal temperature range between 1941 - 80.

Our study suggests that these patterns may also exist in deseasonalized monthly means of the measured temperature record in the post industrial era, a period that is normally associated with global warming and climate change.

Instead of changes in monthly values of Temp and precip (and cloud cover) changes in ANNUAL mean temperature were used to force LPJ.

For the 1895 - 2009 period, the poor quality stations showed a greater warming trend in the mean monthly temperatures than the good quality stations, while for the 1970 - 2009 period, the reverse applied.

In regards the gridded network» stations, I have been informed that the Climate Research Unit's (CRU) monthly mean surface temperature dataset has been constructed principally from data available on the two websites identified in my letter of 12 March 200In regards the gridded network» stations, I have been informed that the Climate Research Unit's (CRU) monthly mean surface temperature dataset has been constructed principally from data available on the two websites identified in my letter of 12 March 200in my letter of 12 March 2007.

We calculated three metrics of thermal history: (1) the mean of the annual maximum DHW from 1985 — 2003 (2) the proportion of years from 1985 to 2003 in which the maximum DHW exceeded 4 °C · week, and (3) a year - to - year temperature variability metric from [16], [46], which is the standard deviation of the maximum monthly SST from 1985 — 2000 scaled such that the mean for the world's coral reefs is 1 °C.

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).

In particular, the characterization of the urban temperature trend was investigated using a seasonal unit root analysis of monthly mean air temperature data over the period of January 1970 to December 2013.

Monthly deaths in the Castile - Leon region of Spain attributable to cardiovascular disease vs. mean daily air temperature.

Here, summer temperatures struggle to get above − 20 °C and monthly means fall below − 60 °C in winter.

The UAH team pioneered the approach in 1979, combining temperature measurements from multiple satellites to produce an estimate for monthly global mean temperatures.

Longyearbyen on the Norwegian island of Spitsbergen, one of the northernmost towns in the world, repeatedly experienced monthly mean temperatures more than 6 °C above the 1981 — 2010 average.

This is physically unrealistic in terms of the length - scale of monthly temperatures (see Question 12), with the 1961 — 1990 mean difference between these sites being just 0.3 °C.

It's common knowledge among experienced professionals that, outside the English - speaking world, other countries use a great variety of methods in determining the «mean monthly temperature,» which is the customary datum used in climatological work.

[2] LUR [longwave upward radiation] is negative in the radiation budget and is calculated using the Stefan - Boltzmann law and monthly mean temperature values measured at the individual radiation stations.

Using monthly means as a proxy for heatwaves Coumou et al. (2013) and Hansen et al. (2012) indicate that record - breaking temperatures in recent decades substantially exceed what would be expected by chance but caution is required when making inferences between these studies and those that deal with multi-day events and / or use more complex definitions for heatwave events

205, Edward Greisch: «An analysis I published in 2004, looking at how often record - high monthly temperatures recur, indicated that record - breaking monthly mean temperature have been more frequent that they would have been if the climate were not getting hotter.»

Professor Benestad, R. E.: «An analysis I published in 2004, looking at how often record - high monthly temperatures recur, indicated that record - breaking monthly mean temperature have been more frequent that they would have been if the climate were not getting hotter.»

It shows the range of variation in US monthly averages, with the orange being the monthly average daily maximum temperature across the US, the dark blue showing the monthly average daily minimum temperature, and the green the monthly mean.

Has there ever been a caveat about the lack of any physical meaning in local monthly, or globally, averaged temperatures?

October 2015 marks the sixth month in a row that the global monthly mean temperature has been broken.

Detailed station - level information on monthly mean temperatures and trends for unadjusted and adjusted station data is provided in graphical form: ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/v3/products/stnplots/