Sentences with phrase «land temperature data of»

So I would have to ask the deniers to look at Curry's BEST land temperature data of the last 15 years and deny the fact that the data is showing a rise.

Not exact matches

The average temperature was 57.1 degrees F, up from the old record, in 1998, which landed an average of 54.3 degrees F. «We had our fourth warmest winter (2011/2012) on record, our warmest spring, a very hot summer with the hottest month on record for the nation (July 2012), and a warmer than average autumn,» Jake Crouch, a scientist at the National Climatic Data Center, told NBC News.

The data also show a land bump, or sill, at the mouth of Skinfaxe glacier, which prevents warmer, deep Atlantic water (yellow on temperature bar) from reaching the ice.

The researchers analyzed temperature records for the years 1881 to 2013 from HadCRUT4, a widely used data set for land and sea locations compiled by the University of East Anglia and the U.K. Met Office.

To estimate the temperature at various depths (from 3,500 m to 9,500 m depth) the researchers have used the heat flow and temperatures at 1,000 m and 2,000 m provided in the Atlas of Geothermal Resources in Europe, as well as thermal data of the land surface available from NASA.

In addition, the data density and geographic extent of this study is far greater than most previous studies because over 16,000 stream temperature sites were used with thousands of biological survey locations to provide precise information at scales relevant to land managers and conservationists.

Liming Zhou of the University at Albany, State University of New York and colleagues used land - surface temperature data gathered by NASA's Terra and Aqua satellites to examine the effect.

Liming Zhou of the University at Albany, State University of New York, and colleagues studied land - surface temperature data gathered by NASA's Terra and Aqua satellites, which give measurements with a spatial resolution of roughly 1 square kilometre.

We are already taking action by making data and codes available, and we have led an international proposal for a new global daily land surface temperature dataset, which has the backing of the World Meteorological Organization and has open access as its key element.

The Berkeley researchers developed their own statistical methods so that they could use data from virtually all of the temperature stations on land — some 39,000 in all — whereas the other research groups relied on subsets of data from several thousand sites to build their records.

Average global land and ocean temperatures have climbed at a rate of 0.2 °C per decade since 1976, according to data compiled by the National Climatic Data Center (NCDC) in Asheville, North Carolina, and the World Meteorological Organization (WMO) in Geneva, Switzerldata compiled by the National Climatic Data Center (NCDC) in Asheville, North Carolina, and the World Meteorological Organization (WMO) in Geneva, SwitzerlData Center (NCDC) in Asheville, North Carolina, and the World Meteorological Organization (WMO) in Geneva, Switzerland.

«Using land surface temperature [data] to define the... most heat - exposed neighborhoods I believe is completely justified, since this is a relative measure of the most heat - impacted neighborhoods,» he wrote in an e-mail.

Matei Georgescu, associate director of the School of Geographical Sciences and Urban Planning at Arizona State University, explains that even though satellite - measured land surface temperatures may not be an ideal indicator, this limited data can still help answer research questions.

Additionally, because of the robustness of their data, the researchers were able to create a statistical tool to examine the relationship between air temperature and land cover.

A number of recent studies indicate that effects of urbanisation and land use change on the land - based temperature record are negligible (0.006 ºC per decade) as far as hemispheric - and continental - scale averages are concerned because the very real but local effects are avoided or accounted for in the data sets used.

In addition to the surface data described above, measurements of temperature above the surface have been made with weather balloons, with reasonable coverage over land since 1958, and from satellite data since 1979.

ASTER data is used to create detailed maps of land surface temperature, reflectance, and elevation.ASTER captures high spatial resolution data in 14 bands, from the visible to the thermal infrared wavelengths, and provides stereo viewing capability for digital elevation model creation.

Global positioning satellites (GPS); remote sensing for water, minerals, and crop and land management; weather satellites, arms treaty verifications; high - temperature, light - weight materials; revolutionary medical procedures and equipment; pagers, beepers, and television and internet to remote areas of the world; geographic information systems (GIS) and algorithms used to handle huge, complex data sets; physiologic monitoring and miniaturization; atmospheric and ecological monitoring; and insight into our planet's geological history and future — the list goes on and on.

«In the global [land and ocean] temperature anomaly data series of 1880 to 2010, the trend presented an increase of 0.6 oC per Century.

This conflicts with the Jones et al. (2001) global land instrumental temperature data (Figure 2.1), and the combined hemispheric and global land and marine data (Figure 2.7), where clear warming is not seen until the beginning of the 20th century.

While land surface observations go back hundreds of years in a few places, data of sufficient coverage for estimating global temperature have been available only since the end of the 19th century.

The two longest ones are of temperature near the Earth's surface: a vast network of weather stations over land areas, and ship data from the oceans.

For those not familiar with it, the purpose of Berkeley Earth was to create a new, independent compilation and assessment of global land surface temperature trends using new statistical methods and a wider range of source data.

There are also plenty of examples where models have correctly suggested that different data sets were inconsistent (satellite vs. surface in the 1990s, tropical ice age ocean temperatures vs. land temperatures in the 1980s etc.) which were resolved in favor of the models.

Our work indicates that analysis of global land temperature trends is robust to a range of station selections and to the use of adjusted or unadjusted data.

I made temperature plots from the reanalysis 2 (NCEP / DOE) data for the North Pole (actually a zonal mean at 88.5 ° N; there's no grid point at the pole) and for the zonal means at 85 ° N, 81 ° N and 75 ° N (excluding land and the last also excluding the always ice - free parts of the Atlantic).

From what I see from the Global Historical Climatology Network (GHCN) of land temperatures and the Comprehensive Ocean - Atmosphere Data Set (COADS) of SST data, temperatures there were higher around the 1930's than now, and there is not much long term warming trend, except for the past few yeData Set (COADS) of SST data, temperatures there were higher around the 1930's than now, and there is not much long term warming trend, except for the past few yedata, temperatures there were higher around the 1930's than now, and there is not much long term warming trend, except for the past few years.

The 2005 Jan - Sep land data (which is adjusted for urban biases) is higher than the previously warmest year (0.76 °C compared to the 1998 anomaly of 0.75 °C for the same months, and a 0.71 °C anomaly for the whole year), while the land - ocean temperature index (which includes sea surface temperature data) is trailing slightly behind (0.58 °C compared to 0.60 °C Jan - Sep, 0.56 °C for the whole of 1998).

This result is a combination of land data, using stations where the only measurements recorded are those of the maximum and minimum daily temperature, and ocean data which are probably much more representative of the true daily mean.

Indeed, within the 164 years of data it is questionable if any cycle can be convincingly demonstrated between the NH Ocean & Land temperatures.

Only an amateur with no concept of the material (Stokes) derivative and time - series aliasing would conclude that lack of serial observations, such as provided by land - station data, of diurnally varying temperature at fixed oceanic locations is «not a problem.»

In this post, I divide the globe (60S - 60N) into two subsets and remove the linear effects of ENSO and volcanic eruptions from GISS Land - Ocean Temperature Index data since 1982.

Was the release of the land and ocean temperature data sets, which were documented in papers previously published, delayed to follow Karl's June press release?

The left - hand graph in Figure 6 presents the GISS Land - Ocean Temperature Index (LOTI) data for the low - to - mid latitudes of the Northern Hemisphere (0 - 65N).

Verify using data collected only over the 1/3 of the planet that is covered with land strikes me as odd, particularly because we expect the land temperatures to rise faster than ocean temperatures.

«Global surface temperature trends, based on land and marine data, show warming of about 0.8 deg C over the last 100 years.

Since many meteorological stations are located in or near large cities, these «urban heat islands» might introduce a spurious trend into temperature records.3 This is the most serious possible source of systematic error to have been identified in land - based data.

We can look at the impacts of the GISS infilling method by subtracting the global GISS land - ocean temperature index data with 250 km smoothing from the GISS data with 1200 km smoothing.

It's hard to imagine how Cowtan and Way could determine with any degree of certainty how «the hybrid method works best over land and most importantly sea ice» when there is so little surface air temperature data over sea ice.

In CRUTEM4: A detailed look, I pointed out the difficulties in providing a comparison of the CRUTEM4 data with the other land - only temperature datasets from NCDC, GISS or BEST due to problems created by different definitions of «land - only», and different averaging and baseline conventions.

Of course, if the Sea Surface Temperature data was adjusted specifically so that it better matched the land station data, then you can't then use that adjusted data to claim the land station data is reliable!!!

This is derived from a combination of temperature data, including BEST NH land back to 1750, forcing data and an energy balance model.

These issues, which are either not recognized at all in the assessments or are understated, include: - the identification of a warm bias in nighttime minimum temperatures - poor siting of the instrumentation to measure temperatures - the influence of trends in surface air water vapor content on temperature trends - the quantification of uncertainties in the homogenization of surface temperature data, and the influence of land use / land cover change on surface temperature trends.

Tom Curtis, you're referencing NASA / NOAA land temperature data that has been adjusted or even estimated in the case of weather stations that no longer exist.

There are no temperature data available in most of the land area on Earth, and so those in charge of the instrumental record just in - fill their guesses (based on computer models) of what they think the temperatures might be.

So Australia's BOM data and NZ's NIWA data, both «adjusted» out of their cotton picking minds whether needed or not and generally butchered [and thats being polite,] around with until it bears little relationship with reality accounts for at least one fifth and close to nearly one quarter of the total global land surface temperature data.

David, it would be more accurate to suggest that I thought satellite temperature data ought to be preferred to land and sea surface temperatures, for all sorts of good reasons explained in earlier essays.

I downloaded these data and plotted them against the «globally and annually averaged land and sea surface temperature anomaly» record of HadCRUT3, to see if there was any correlation.

Goddard Institute researchers used temperature data from weather stations on land, satellite measurements of sea ice temperature since 1982 and data from ships for earlier years.

MM04 failed to acknowledge other independent data supporting the instrumental thermometer - based land surface temperature observations, such as satellite - derived temperature trend estimates over land areas in the Northern Hemisphere (Intergovernmental Intergovernmental Panel on Climate Change, Third Assessment Report, Chapter 2, Box 2.1, p. 106) that can not conceivably be subject to the non-climatic sources of bias considered by them.