I reckon ALL the sea and land temp data from GISS, Hadcrut, NDCD, NOAA and
the arctic ice data from cryosphere and NCDC has been manipulated to suit the AGW agenda.
Not exact matches
The findings back up a body of
data suggesting that «the effects of global [warming] will be seen first, and will be most pronounced, in the arctic region,» says Mark Serreze, an arctic climatologist at the National Snow and Ice Data Center in Boulder, Color
data suggesting that «the effects of global [warming] will be seen first, and will be most pronounced, in the
arctic region,» says Mark Serreze, an
arctic climatologist at the National Snow and
Ice Data Center in Boulder, Color
Data Center in Boulder, Colorado.
More
data on impact of changing local weather patterns, maybe putting more personal ground - based perspective to melting
arctic ice: http://www.alaskadispatch.com/article/20131202/winter-what-winter-barrows-october-november-downright-balmy (captcha: thanks ideafun)
For other indicators — glacial retreat, sea level,
arctic ice extent, etc. — the
data is equally noisy, and it is difficult having a sensible discussion without the inevitable cherry - picking on both sides of the argument.
Dr Maslowski made an estimate in 2007 which used
data through 2004 and came up with 2013 as the first year with a total meltdown of
arctic sea
ice.
I remember when I once worked on a project for managing
arctic ice rafar
data in th 90's, the NASA project manager said that he had access to a room full of computer tapes of satellite
data collected in the 70's that nobody had ever looked at, and that nobody he knew had equipment any more that could even read the tapes.
Canadian
Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter
arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear
data filter to extrapolate NSIDC's September
Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea
ice predicto
ice predictors.
Chris V. CO2 goes up, temp goes down, oceans cool, sea levels decrease,
arctic sea
ice is within 1979 -2000 mean, AGW theory of catastrophic warming is B U S T... Even the fraudulent manipulation of the GISS
data set does not change that.
Conversely, the
arctic ice winter max increases slightly during that period, and temperature
data for that region show a cooling.
I have been closely watching
arctic ice for several years now and have reviewed the 2011
data pretty closely over the course of the year.
Satellite passive microwave
data since the 1970s indicate a 3 % decrease per decade in
arctic sea
ice extent.
I'm aware of two most prominent reconstructions of
arctic sea
ice for the 20th century based on these
data.
And, those who claim that in the mid-20th century the
arctic was «practically
ice - free» are contradicted by the
data.
It's easy to get daily up - to - date
data on
arctic ice extent from JAXA, and on
arctic ice area from cryosphere today.
I have downloaded the HADISST
ice data and computed sea
ice extent for both the
arctic and antarctic (based on 15 % concentration to be consistent with NSIDC
data from the satellite era).
And remember, the satellite
data are one small part of a vast amount of
data that overwhelmingly show our planet is warming up: retreating glaciers, huge amounts of
ice melting at both poles, the «death spiral» of
arctic ice every year at the summer minimum over time, earlier annual starts of warm weather and later starts of cold weather, warming oceans, rising sea levels, ocean acidification, more extreme weather, changing weather patterns overall, earlier snow melts, and lower snow cover in the spring...
Distributions of Outlook estimates for September 2010
arctic sea
ice extent based on May
data.
Meanwhile, global sea
ice has remained virtually unchanged for the last 30 years of satellite
data, and has increased in the
arctic over the last three years, making one wonder where the «enormous» heating is taking place.
Distributions of Outlook estimates for September 2010
arctic sea
ice extent based on July
data.
The outlook for the pan-
arctic sea
ice extent in September 2008, based on July
data, indicates a continuation of dramatic
arctic sea
ice loss.
Can't find a recent item on
arctic sea
ice but hoped it might be worth pointing out Peng et al Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data http://www.mdpi.com/2072-4292/10/2/230/htm «The most persistently probable curve - fit model from all the methods examined appears to be Gompertz, even if it is not the best of the subset for all analyzed perio
ice but hoped it might be worth pointing out Peng et al Sensitivity Analysis of
Arctic Sea
Ice Extent Trends and Statistical Projections Using Satellite Data http://www.mdpi.com/2072-4292/10/2/230/htm «The most persistently probable curve - fit model from all the methods examined appears to be Gompertz, even if it is not the best of the subset for all analyzed perio
Ice Extent Trends and Statistical Projections Using Satellite
Data http://www.mdpi.com/2072-4292/10/2/230/htm «The most persistently probable curve - fit model from all the methods examined appears to be Gompertz, even if it is not the best of the subset for all analyzed periods.
Incorporating AARI
data should push down HadISST (at least most years between 1933 and 1952), but I don't see such thing (this is the previous version of HadISST
arctic sea
ice data: http://tamino.files.wordpress.com/2010/10/nhem140.jpg).
According to the National Snow and
Ice Data Center (NSIDC), the arctic sea ice extent for July 2012 was the second lowest in the satellite record behind 2011; the ice extent recorded for August 1st of 6.5 million square kilometers is the lowest in the satellite reco
Ice Data Center (NSIDC), the
arctic sea
ice extent for July 2012 was the second lowest in the satellite record behind 2011; the ice extent recorded for August 1st of 6.5 million square kilometers is the lowest in the satellite reco
ice extent for July 2012 was the second lowest in the satellite record behind 2011; the
ice extent recorded for August 1st of 6.5 million square kilometers is the lowest in the satellite reco
ice extent recorded for August 1st of 6.5 million square kilometers is the lowest in the satellite record.
Distributions of Outlook estimates for September 2012
arctic sea
ice extent for the June report (based on May
data).
Regarding the
arctic ice, do we have the
data for the 1940s?
Distributions of Outlook estimates for September 2010
arctic sea
ice extent for the July report (based on June
data).
The average
arctic sea
ice monthly extent for September 2012 was the lowest observed in the satellite era at 3.6 million square kilometers, based on National Snow and Ice Data Center (NSIDC) estimates — 50 % lower than the 1979 - 2000 average of 7.0 million square kilomete
ice monthly extent for September 2012 was the lowest observed in the satellite era at 3.6 million square kilometers, based on National Snow and
Ice Data Center (NSIDC) estimates — 50 % lower than the 1979 - 2000 average of 7.0 million square kilomete
Ice Data Center (NSIDC) estimates — 50 % lower than the 1979 - 2000 average of 7.0 million square kilometers.
increased hurricane severity = > wrong, and they admit it in AR5 increased hurricane frequency = > wrong, and they admit it in AR5 increased droughts = > wrong, and they admit it in AR5 increased flooding = > wrong, and they admit it in AR5 increased temps = > they won't admit it, but their own
data says they were wrong declining
arctic ice = > check.
On 27 June 2008 a request was issued to the
arctic research community requesting input for the June 2008 Outlook Report on
arctic sea
ice conditions for September 2008, to update the May Outlook using June
data.
Information about future summer
arctic sea
ice conditions based on 2008
data is inconclusive.
Information about future summer
arctic sea
ice conditions based on 2008
data is equivocal.
Figure is based on daily
arctic sea
ice extent from passive microwave satellite
data (SSM / I).
So, yes, scientists are very much able to make a meaningful case for such
data, and they do so quite lucidly in the IPCC assessments and in the NSICD's annual
arctic ice extent reports.
Show me someone who has successfully determined
arctic ice extent from weather
data alone.
Satellite
data and ground observations also indicate that
ice conditions in the Nares Strait west of Greenland may favor an influx of old high
arctic ice into the region later in the season.
The outlook for
arctic sea
ice for September 2009, based on June
data, indicates a continuation of low pan-
arctic sea
ice extent and no indication that a return to historical levels will occur.
Satellite
data since 1978 show that annual average
arctic sea
ice extent has shrunk by 2.7 [2.1 to 3.3] % per decade, with larger decreases in summer of 7.4 [5.0 to 9.8] % per decade.
We must remember that
data only goes back for 30 years which is but a short window into the naturalcyclic nature of the
arctic ice history.
There is the Cryosphere
data from the University of Illinois which show
arctic and Antarctic
ice concentration and extent (this is not Mr. Watts
data, it is satellite
data.
But he also noted, «There is some indication from the QuickScat
data that 2nd and 3rd year
ice has increased somewhat in the past couple of years which may imply not so linear decline of
arctic ice volume.»
It is not just
data from climate models predicting what will happen; now there is evidence of the warming which has already occurred: massive
ice melting in Greenland, rising sea levels and retreating
arctic ice, record droughts, etc..
Just after the June Outlook was completed (based on May
data),
arctic sea
ice extent briefly set record daily rates of loss.
The two - day FAMOS workshop will include sessions on 2017 sea
ice highlights and sea
ice / ocean predictions, reports of working groups conducting collaborative projects, large - scale
arctic climate modeling (
ice - ocean, regional coupled, global coupled), small (eddies) and very small (mixing) processes and their representation and / or parameterization in models, and new hypotheses,
data sets, intriguing findings, proposals for new experiments and plans for 2018 FAMOS special volume of publications.
Wadhams has spent many years collecting
ice thickness
data from submarines passing below the
arctic ocean.
According to the National Snow and
Ice Data Center (NSIDC), arctic sea ice extent for June 2011 was the second lowest in the satellite data record since 19
Ice Data Center (NSIDC), arctic sea ice extent for June 2011 was the second lowest in the satellite data record since 1
Data Center (NSIDC),
arctic sea
ice extent for June 2011 was the second lowest in the satellite data record since 19
ice extent for June 2011 was the second lowest in the satellite
data record since 1
data record since 1979.
Again it is important to remember that the Outlook values are for the mean
arctic September sea
ice extent as provided by the National Snow and Ice Data Center (NSID
ice extent as provided by the National Snow and
Ice Data Center (NSID
Ice Data Center (NSIDC).
1930's
arctic temperature
data doesn't seem so far from the present phase but reconstructions that exist have the
ice conditions very different.