Sentences with phrase «recent temperature observations»

This is a perturbed physic ensemble — one that is constrained to approximate recent temperature observations.

Not exact matches

Scientific observations show that in the Arctic, warming temperatures have led to a 75 % loss in sea ice volume since the 1980s, and recent reports suggest the Arctic Ocean will be nearly free of summer sea ice by 2050, said Sullivan.

In the inner region of the dust disk where Earth formed, the temperature should not have been hot enough to vaporize carbon dust, according to recent observations of circumstellar debris disks around newborn stars.

Instead, the web special opened with «Estimates of future global temperatures based on recent observations must account for the differing characteristics of each important driver of recent climate change», which sounds a bit ho - hum, if not, well, duh?

The number of sea surface temperature observations in ICOADS has increased due to recent digitization by NCEI.

The most recent observations of sea surface temperatures across the tropical Pacific Ocean (top) and how different those temperatures are from normal (bottom).

For the earlier generation of models, results are based on the archived output from control runs (specifically, the first 30 years, in the case of temperature, and the first 20 years for the other fields), and for the recent generation models, results are based on the 20th - century simulations with climatological periods selected to correspond with observations.

A very recent study by Saba et al. (2015) specifically analyzed sea surface temperatures off the US east coast in observations and a suite of global warming runs with climate models.

A dozen permanent, low temperature eruptions, which represent effusive activity, are still detected across the surface of Io, but recent observations of the satellite reveal the absence of young bright eruptions and outbursts.

global average sfc T anomalies [as] indicative of anomalies in outgoing energy... is not well supported over the historical temperature record in the model ensemble or more recent satellite observations

Models actually predict that the interior of the ice sheets should gain mass because of the increased snowfall that goes along with warmer temperatures, and recent observations actually agree with those predictions.

Instead, the web special opened with «Estimates of future global temperatures based on recent observations must account for the differing characteristics of each important driver of recent climate change», which sounds a bit ho - hum, if not, well, duh?

In some cases, reviewers and / or editors supportive of mainstream views totally block important papers from being published; McKitrick, McIntyre and Herman had to completely rewrite their recent paper — showing that high tropical tropospheric temperature trends for the last three decades produced by climate models are inconsistent with observations — as a study of applying statistical methods developed in econometrics, and submit it to a journal with a more open - minded editor, in order to get it published at all.

There are important implications in this observation not least the possibility of biased regression coefficients in attempts to reconstruct past low - frequency temperature change based on long density series calibrated against recent temperatures.

My views on the cuttlefish numbers are based on my own observations - as a long time diver and observer of the cuttlefish I have seen a drastic decline in numbers over recent years, and I have also noticed a marked increase in seasonal water temperatures.

There are many who will not like this recent paper published in Nature Communications on principle as it talks of the hiatus in global temperatures for the past 20 years or so, that the Little Ice Age was global in extent, and that climate models can not account for the observations we already have let alone make adequate predictions about what will happen in the future.

It's very clear from the following graph that temperatures are lower in recent months (in fact, lower than at any point) than they were a decade ago, according to any of the four main observations.

2) There are geological and recent observations, according which trends of CO2 content in atmosphere follows trends of climate temperature and not vice versa.

Surface warming / ocean warming: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trends»

Ocean warming: «Assessing recent warming using instrumentally homogeneous sea surface temperature records» «Tracking ocean heat uptake during the surface warming hiatus» «A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change» «Unabated planetary warming and its ocean structure since 2006»

A recent study by Cowtan et al. (paper here) suggests that accounting for these biases between the global temperature record and those taken from climate models reduces the divergence in trend between models and observations since 1975 by over a third.

In addition to the increasing trend of recent CO2 content in atmosphere, according to my interpretations, empiric observations prove that the trends of CO2 content in atmosphere have followed temperature during the last century, during the glacial and interglacial eras, and during the last 100 million years.

On balance the evidence shows that solar and oceanic variations are more likely the cause of recent observations of warming in the air than increasing CO2 in the air but the issue can soon be resolved by observing the global air temperature changes that occur during and after the extended cycle 23 and the probable weak cycle 24.

Combine the satellite trend with the surface observations and the umpteen non-temperature based records that reflect temperature change (from glaciers to phenology to lake freeze dates to snow - cover extent in spring & fall to sea level rise to stratospheric temps) and the evidence for recent gradual warming is, well, unequivocal.

But observations from recent years support the idea that the melting ice is a key factor in shaping the persistent pattern of warm temperatures over the Arctic that displaces bitter cold air toward North America and especially Eurasia, says conference co-chair Judah Cohen, a climate scientist at the Massachusetts Institute of Technology.

Estimates of future global temperatures based on recent observations must account for the differing characteristics of each important driver of recent climate change.

The observation of a historically high level of TSI from 1961 to 2001 tends to fit with the theories set out in my other articles about the real cause of recent warming and the real link between solar energy, ocean cycles and global temperatures.

Since then there are a number of papers published on why the warming was statistically insignificant including a recent one by Richardson et al. 2016 which tries to explain that the models were projecting a global tas (temperature air surface) but the actual observations are a combination of tas (land) and SST oceans, meaning projected warming shouldn't be as much as projected.

As others have noted, the IPCC Team has gone absolutely feral about Salby's research and the most recent paper by Dr Roy Spencer, at the University of Alabama (On the Misdiagnosis of Surface Temperature Feedbacks from Variations in Earth's Radiant Energy Balance), for one simple reason: both are based on empirical, undoctored satellite observations, which, depending on the measure required, now extend into the past by up to 32 years, i.e. long enough to begin evaluating real climate trends; whereas much of the Team's science in AR4 (2007) is based on primitive climate models generated from primitive and potentially unreliable land measurements and proxies, which have been «filtered» to achieve certain artificial realities (There are other more scathing descriptions of this process I won't use).

Both the observations of mass balance and the estimates based on temperature changes (Table 11.4) indicate a reduction of mass of glaciers and ice caps in the recent past, giving a contribution to global - average sea level of 0.2 to 0.4 mm / yr over the last hundred years.

Finds that observations over the past decade continue to support the finding that the area experiencing much above - normal maximum and minimum temperatures in recent years has been on the rise, with infrequent occurrence of much below - normal mean maximum and minimum temperatures

The IPCC's estimate of climate sensitivity takes into account all lines of evidence, including recent observations, records of temperature in earth's distant past and climate models.

However, in a nutshell (see their paper for more, and the figure below, taken from that paper), what Brown and Caldeira did was to emphasize the contributions to temperature prediction of the subset of models which are the most skillful at predicting the present based upon recent observations.

«Assessing recent warming using instrumentally homogeneous sea surface temperature records» «Tracking ocean heat uptake during the surface warming hiatus» «A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change» «Unabated planetary warming and its ocean structure since 2006»

The observation that recent temperature trends are barely consistent with the present models, does cast doubt on the projections these model produce.

9 9 Global mean temperature Global average sea level Northern hemisphere snow cover Observations of recent climate change

«Causes of differences in model and satellite tropospheric warming rates» «Comparing tropospheric warming in climate models and satellite data» «Robust comparison of climate models with observations using blended land air and ocean sea surface temperatures» «Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends» «Reconciling warming trends» «Natural variability, radiative forcing and climate response in the recent hiatus reconciled» «Reconciling controversies about the «global warming hiatus»»

One recent comparison of greenhouse gas concentrations, temperatures, and sea - level rise observations versus predictions concluded:

The number of sea surface temperature observations in ICOADS has increased due to recent digitization by NCEI.

This regional inconsistency between models and observations might be a key to understanding the recent hiatus in global mean temperature warming.

In addition, according to geological and recent observations, trends of CO2 content in atmosphere follow trends of climate temperature and not vice versa.

Scientists have high confidence about global temperature trends over recent decades because those observations are based on a massive amount of data.

This point was also made by Schmidt et al. (2014), which additionally showed that incorporating the most recent estimates of aerosol, solar, and greenhouse gas forcings, as well as the El Niño Southern Oscillation (ENSO) and temperature measurement biases, the discrepancy between average GCM global surface warming projections and observations is significantly reduced.

Moreover the recent decline of the yearly increments d (CO2) / dt acknowledged by Francey et al (2013)(figure 17 - F) and even by James Hansen who say that the Chinese coal emissions have been immensely beneficial to the plants that are now bigger grow faster and eat more CO2 due to the fertilisation of the air (references in note 19) cast some doubts on those compartment models with many adjustable parameters, models proved to be blatantly wrong by observations as said very politely by Wang et al.: (Xuhui Wang et al: A two-fold increase of carbon cycle sensitivity to tropical temperature variations, Nature, 2014) «Thus, the problems present models have in reproducing the observed response of the carbon cycle to climate variability on interannual timescales may call into question their ability to predict the future evolution of the carbon cycle and its feedbacks to climate»

Tung and co-author Xianyao Chen of the Ocean University of China, who was a UW visiting professor last year, used recent observations of deep - sea temperatures from Argo floats that sample the water down to 6,500 feet (2,000 meters) depth.

«The new study brings together our latest and most comprehensive databases of land and marine temperature observations, along with recent advances in our understanding of how measurements were made at sea.

This new generation of models, featuring forcings closer to observations in recent years, will likely show better correspondence with tropospheric temperature observations, but may not be any more or less sensitive to CO2 than the prior generation of models (CMIP5).»

However, the heat island effect, if present, would in fact improve rather than worsen the agreement between models and observations (without it, the temperature in the most recent years would be lower, while GCMs predict a rise of temperature).

See, the first thing to do is do determine what the temperature trend during the recent thermometer period (1850 — 2011) actually is, and what patterns or trends represent «data» in those trends (what the earth's temperature / climate really was during this period), and what represents random «noise» (day - to - day, year - to - random changes in the «weather» that do NOT represent «climate change»), and what represents experimental error in the plots (UHI increases in the temperatures, thermometer loss and loss of USSR data, «metadata» «M» (minus) records getting skipped that inflate winter temperatures, differences in sea records from different measuring techniques, sea records vice land records, extrapolated land records over hundreds of km, surface temperature errors from lousy stations and lousy maintenance of surface records and stations, false and malicious time - of - observation bias changes in the information.)

Even in Demetris» recent work, showing GCM mean projections do not match observations, can not really falsify GCMs if the true - but - unknown physical CI about the GCM temperature projection (for example) was about, say, (+ / --RRB- 5 C. With a CI like that over 20 years, GCM outputs would be consistent with any trend in temperature.