Sentences with phrase «monthly mean temperature for»

Observed change of monthly mean temperature for Svalbard since year 1912, relative to the 1901 - 2000 mean.

Observed change of monthly mean temperature for Jan Mayen since year 1921, relative to the 1901 - 2000 mean.

Observed change of monthly mean temperature for Vardø since year 1840, relative to the 1901 - 2000 mean.

Observed change of monthly mean temperature for Northern Norway since year 1900, relative to the 1901 - 2000 mean.

Not exact matches

The map is set to chart a course around the world based on a monthly mean temperature of 72ºF (22ºC), which according to Canadian Geographic, is the temperature some medical experts believe to be ideal for the human body.

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):

Mean temperature, mean monthly precipitation, frequency of hot / cold days / nights, and indices of extreme precipitation are all estimated for each country based on observed and modeled data.

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.

A similar conclusion was drawn from a similar analysis applied to a (spatially sparse) global network of monthly mean temperatures, where the effect of spatial dependencies for inter-annual and inter-decadal variations could be ruled out (Benestad, 2004).

The latest record for global and annual mean was set 1998, but it may also be slightly different when looking at local temperatures and on a monthly basis.

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.»

This means, monthly global temperatures have not fallen below average for...

Screen shot of the «Monthly mean maximum temperature» page for St Helens Aerodrome at the Bureau's website

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.

• On the climatic scale, the model whose results for temperature are closest to reality (PCM ‐ 20C3M) has an efficiency of 0.05, virtually equivalent to an elementary prediction based on the historical mean; its predictive capacity against other indicators (e.g. maximum and minimum monthly temperature) is worse.

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.

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).

I've downloaded the monthly HadCET (Central England Temperature) mean dataset, available here, and for 2012 (it should work for any year), I've put the values from January through to July into Excel and plotted a graph:

Since solar radiation data were not available for these sites, we calculated monthly mean values, using differences between temperature extremes following procedures outlined by Coops et al. -LRB-[2000]-RRB-.

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 appliFor 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 applifor the 1970 - 2009 period, the reverse applied.

The March 2010 global mean temperature was affected by about 2/100 of a degree Celsius, well below the margin of error (about 15/100 of a degree for monthly global means).

Note: Excel used to calculate the 3 - year absolute temperature and CO2 level averages; also used to calculate the moving 36 - month and 360 - month per century acceleration / deceleration trends (Excel slope function) as depicted on chart; the absolute temps calculated using the HadCRUT4 month anomalies and NOAA's monthly global mean temperature estimates; and, the 3 - year average beginning value for CO2 was offset to a zero starting place.

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.

The temperature variability metric at each site was calculated as the standard deviation of the maximum monthly SST from 1985 — 2003, scaled such that the mean for the world's coral reefs is 1 °C [16].

Karl, T.R., C.N. Williams, Jr., P.J. Young, and W.M. Wendland, 1986: A model to estimate the time of observation bias associated with monthly mean maximum, minimum, and mean temperature for the United States, Journal of Climate and Applied Meteorology, 25, 145 - 160.

Even though next week will be cooler and more unsettled, April is bound to turn out a warm, dry and sunny month when the monthly statistics are released by the Met Office, with the mean CET (Central England Temperature) currently running 2 degrees Celsius above normal for the month so far.

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

Anomalies are computed by subtracting the mean monthly value (averaged from 1979 through 1998 for each channel) from the average brightness temperature for each month.

Image to right — Looking at Average Monthly Global Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 1980 baMonthly Global Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 19Temperatures: This is a global map of unusual (anomaly) monthly - mean surface temperatures for the year 2004 relative to the 1951 - 1980 bamonthly - mean surface temperatures for the year 2004 relative to the 1951 - 19temperatures for the year 2004 relative to the 1951 - 1980 baseline.

The least - squares linear - regression trend on the RSS satellite monthly global mean surface temperature anomaly dataset continues to show no global warming for 18 years 9 months since February 1997, though one - third of all anthropogenic forcings have occurred during the period of the Pause.

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

For the long - term experiment, the constant temperature regimes of the seawater bath were replaced with a seasonal cycle (adjusted monthly; see electronic supplementary material, figure S2) to match either historical mean monthly temperatures at the study site (ambient) or a warming scenario (ambient cycle +4 °C).

Significant large - scale correlations between observed monthly mean temperature and precipitation (Madden and Williams, 1978) for North America and Europe have stood up to the test of time and been expanded globally (Trenberth and Shea, 2005).

Effective May 2, 2011, the Global Historical Climatology Network - Monthly (GHCN - M) version 3 dataset of monthly mean temperature has replaced GHCN - M version 2 as the dataset for operational climate monitoring actiMonthly (GHCN - M) version 3 dataset of monthly mean temperature has replaced GHCN - M version 2 as the dataset for operational climate monitoring actimonthly mean temperature has replaced GHCN - M version 2 as the dataset for operational climate monitoring activities.

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/