Sentences with phrase «satellite dataset»

More importantly, the HC4 temperature dataset verifies what the prior article on the satellite dataset established: despite multiple major warming El Nino events, and with over 60 % of all 1850 - 2016 total CO2 emissions being released since 1979, there is absolutely zero indication of a positive feedback's existence producing a runaway, «tipping point» warming acceleration.

While the satellite dataset has its strengths, unlike thermometers and temperature probes used on weather balloons the Microwave Sounding Units were new, largely untested tools when they were put into space.

Lord Christopher Monckton, science advisor to British Prime Minister Margaret Thatcher, points out that the Hadley Centre / Climatic Research Unit records show no warming for 19 or 20 years, and the Remote Sensing System (RSS) satellite dataset shows no warming for 24 years.

In previous posts on this topic, Monckton has tracked the pause in the Remote Sensing Laboratory (RSS) satellite dataset.

UAH satellite data has shown no significant global warming trend in more than 15 years — the Remote Sensing Systems satellite dataset shows no warming for more than 18 years.

The fear is that these anomalies have been fed across the entire satellite dataset.

Why hasn't there been a big stink about Spencer and Christy's UAH tropospheric satellite dataset?

The datasets considered include a blended in situ - satellite dataset extending from 1923 to 2012 (Brown), the National Oceanic and Atmospheric Administration (NOAA) snow chart Climate Data Record for 1968 — 2012, the Global Land Data Assimilation System version 2.0 (GLDAS - 2 Noah) reanalysis for 1951 — 2010, and the NOAA 20th - century reanalysis, version 2 (20CR2) covering 1948 — 2012.

Like... Spencer and Christy's UAH tropospheric satellite dataset?

Note: RSS June 2014 satellite dataset used in Excel to calculate 10 - year temperature changes.

Note: UK's HadCRUT4 2014 satellite dataset used in Excel to calculate 10 - year absolute (i.e. arithmetic difference) temperature changes and linear trends for above charts.

Using a satellite dataset that contains 426 monthly temperature measurements, 306 moving 10 - year changes can be calculated.

«The RSS (Remote Sensing Systems) satellite dataset shows no global warming at all for 219 months from October 1996 to December 2014 — more than half the 432 - month satellite record.»

However, on the RSS satellite dataset, the global warming of the past 23 years is statistically indistinguishable from zero.

we have no one to take over production of the UAH satellite dataset when John Christy and I are gone» Is Spencer saying that he and Christy run a «skeptic» data unit?

The adjacent chart plots sea surface temperatures since 1979, broken into three segments (note: the same starting date from the satellite dataset analysis was utilized to keep the comparisons consistent).

... I no longer think that the UAH satellite dataset (Spencer's daily plot?)

Spencer analyzed 90 climate models against surface temperature and satellite temperature data, and found that more than 95 percent of the models «have over-forecast the warming trend since 1979, whether we use their own surface temperature dataset (HadCRUT4), or our satellite dataset of lower tropospheric temperatures (UAH).»

«This paper is the perfect demonstration of how new and improved satellite datasets, coupled with new and improved data analysis techniques, allow us to identify even smaller pollutant sources and to quantify these emissions over the globe.»

According to their model, based on multiple satellite datasets, the forests of the western Amazon will experience average or below - average fire risk, while those in the eastern Amazon will see above - average risk.

We have good understanding, for example from the Europeans, on how poorly Sandy and certain winter storm forecasts would be if certain satellite datasets were with held.

Barely more surprising is that all of the tropospheric satellite datasets and radiosonde data also have 2016 as the warmest year.

What interests me is that the satellite datasets show lower lows for May, something which can't be said for either GISS or Hadley.

The green needles, representing the satellite datasets, show only a third of what the UN had predicted with «substantial confidence» in 1990.

The Global Warming Speedometer for January 2001 to June 2016 shows observed warming on the HadCRUT4 and NCEI surface temperature datasets as below IPCC's least prediction in 1990 and somewhat on the low side of its 1995 and 2001 predictions, while the satellite datasets show less warming than all IPCC predictions from 1990 to 2001.

Global sea level trend estimates from the merged satellite datasets.

Global sea level trend estimates from the four satellite datasets.

I showed the energy and environment committee a graph showing the mean of the temperature anomalies from the three terrestrial and two satellite datasets.

Yet writing in The Australian, Monckton ignored this context by misleadingly stating that «satellite datasets show last year was not the warmest on record».

The two satellite datasets show similar trends — as more roughly do the various surface temperature datasets — as documented in so many peer - reviewed studies.

It's also worth noting that if the surface temperature datasets aren't considered independent, then the satellite datasets (UAH and RSS) that Pielke favors aren't either.

The resulting high - resolution dataset can capture even small patches of sea ice a few miles across, which are easy to miss in some satellite datasets.

Due to the differences in time - span and spatial resolution between the three satellite datasets considered, not all of the above shown ground - based stations were utilized in the comparisons of all three satellite instruments.

We examine four satellite datasets producing bulk tropospheric temperatures, based on microwave sounding units (MSUs), all updated since IPCC AR5.

We show evidence that MSUs on National Oceanic and Atmospheric Administration's satellites (NOAA - 12 and − 14, 1990 — 2001 +) contain spurious warming, especially noticeable in three of the four satellite datasets.

I notice that you don't mention the satellite datasets.

The satellite datasets have a far better global coverage than GISS.

There are two satellite datasets: RSS and UAH.

These studies often benefit from data periods far longer than the satellite datasets are able to provide, giving a further means of testing the hypothesized CR - cloud connection.

More importantly both satellite datasets are more expansive with far, far far, better coverage than any of the others.

If the satellite datasets were not around to stop them then I bet the match would be spot on!

A similar, but stronger case can be made using surface temperature datasets, which I consider to be more reliable than satellite datasets (they certainly agree with each other better than the various satellite datasets do!).

Lower troposphere (LT) temperature satellite datasets - RSS and UAH - an equal weighting monthly average dataset used in chart's plot; NOAA's atmospheric CO2 dataset.

The satellite temperature anomalies and 3 - year warming trends calculated and plotted using Excel; datasets used to produce monthly anomalies in an equal - weighted combination of two satellite datasets - RSS and UAH.

Problems: Mears and Wentz (2016); Mears and Wentz (2017); Swanson (2017); see Gavin Schmidt, «Comparing models to the satellite datasets,» RealClimate.org, May 7, 2016, online here.

University of Alabama, Huntsville satellite datasets show that September was the seventh warmest on record -LSB-...]

Not exact matches

The five - satellite THEMIS mission launched in 2007 and has provided a unique, long - term dataset that allowed Kavosi and Raeder to do robust statistical analysis of the occurrence of Kelvin - Helmholtz waves.

To demonstrate MENNDL's versatility, the team applied the algorithm to several datasets, training networks to identify sub-cellular structures for medical research, classify satellite images with clouds, and categorize high - energy physics data.

To check their model forecast, as the dry season has gotten underway, the researchers have compared their initial forecast with observations coming in from NASA's precipitation satellite missions» multisatellite datasets, as well as groundwater data from the joint NASA / German Aerospace Center Gravity Recovery and Climate Experiment (GRACE) mission.

«Even more interesting is that as satellite measurements continue and so as the datasets get longer, we will be able to recalculate our metric over longer time periods to investigate how and if ecosystem sensitivity to climate variability is changing over time.»