Sentences with phrase «monthly mean climate»
Climate change by 2060 was computed as the difference (air temperature) or ratio (precipitation and solar radiation) of monthly mean climate between the GCM (unforced) control and 2xCO2 simulations at GCM grid boxes coinciding with the crop modelling sites (Figure 13.1 b).
http://www.ipcc.ch/ Not exact matches
The Weather Makers: How Man Is Changing the Climate and What It Means for Life on Earth Tim Flannery (Atlantic Monthly Press)
Schubert, S., et al., 1992: Monthly Means of Selected Climate Variables for 1985 — 1989.
Data of climate variables (mean precipitation; mean temperature; mean ground frost frequency) at monthly intervals (1961 - 90) were sourced from the IPCC (http://www.ipcc-data.org).
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 updated dataset includes more data sources than the HadSLP v1.0 and is updated to April 2006, this dataset is documented in an upcoming J. Climate manuscript (Allan, R. and T. Ansell: A new globally - complete monthly historical gridded mean sea level pressure data set (HadSLP2): 1850 - 2004.
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).
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.
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).
Further to my last post on the climate at Heathrow a couple of hours ago, I have now analysed the weather there and at Oxford since 1958 using annual rather than monthly data on sun, rain, CO2, and mean maximum temperature.
We created four largely independent climate variables to represent present climate, derived from average monthly mean temperature and monthly total precipitation from the 1 km resolution DAYMET 1980 — 1998 mean climate database (www.daymet.org)[63].
The four climate variables were the first two axes of two principal components analyses (PCA), one based on the 12 monthly mean temperatures and one on the 12 monthly precipitations, respectively (Fig.
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.
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.
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 2007.
Storage limits in the past meant that only weekly or monthly averages of only a selection of climate variables could be archived.
These differences or ratios are then applied to the observed baseline climate whether mean values, monthly or a daily time - series.
The regions in which monthly means meet the mid-tropospheric dryness criterion frequently broadly correspond to regions with frequent low - cloud cover, both in observations (Fig. 1a) and in climate models.
What, then, is the consensus among the monthly global mean surface or lower - troposphere datasets about whether the climate is warming «faster than anybody anticipated five or ten years ago»?
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.
The next post in this series (hopefully some time next week) will look at some in - depth examples, taking hourly data from the pristine Climate Reference Network and looking at how the daily and monthly means change based on the observation time.
14 Köppen Climate Classification System Most commonly used system Uses mean monthly and annual values of temperature and precipitation Five Principal Groups Humid Tropical Humid Mid-Latitude Dry Highland Polar
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.»
Still, NASA's Gavin Schmidt cautions that individual monthly records — no matter how impressive — don't mean much when compared to where the climate is headed.
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.