| Topic: |
Politics > Politics-USA |
| User: |
"Captain Compassion" |
| Date: |
15 Jan 2008 10:37:26 AM |
| Object: |
Remote sensing of Greenland ice sheet |
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D24S20,
doi:10.1029/2007JD008742, 2007
http://www.agu.org/pubs/crossref/2007/2007JD008742.shtml
Remote sensing of Greenland ice sheet using multispectral
near-infrared and visible radiances
Petr Chylek
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
M. McCabe
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
M. K. Dubey
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
J. Dozier
Donald Bren School of Environmental Science and Management, University
of California, Santa Barbara, Santa Barbara, California, USA
Abstract
We present the physical basis of and validate a new remote-sensing
algorithm that utilizes reflected visible and near-infrared radiation
to discriminate between dry and wet snow. When applied to the Moderate
Resolution Imaging Spectroradiometer (MODIS) satellite data, our
discrimination algorithm has the potential to retrieve melting regions
of the ice sheet at a spatial resolution of 0.25 km2, over three
orders of magnitude higher than the resolution of current microwave
methods. The method should be useful for long-term monitoring of the
melt area of the Greenland ice sheet, especially regions close to ice
sheet margins and of the outflow glaciers. Our analysis of MODIS
retrievals of the western portion of the Greenland ice sheet over the
period 2000 to 2006 indicates significant interannual variability with
a maximum melt extent in 2005. Collocated in situ meteorological data
reveal a high correlation (0.80) between the MODIS melt-day area and
the average summer temperature. Our analysis suggests that it is the
magnitude of the summer temperature that dominates the melting (not
the variability of the length of the melting season). Furthermore, we
find that the melt-day area increases by about 3.8% for each 0.1 K
increase in the average surface air summer temperature. We combine
this empirical relationship with historic temperature data to infer
that the melt-day area of the western part of the ice sheet doubled
between the mid-1990s and mid-2000s and that the largest ice sheet
surface melting probably occurred between 1920s and 1930s, concurrent
with the warming in that period.
Received 2 April 2007; accepted 19 November 2007; published 14
December 2007.
--
If you disagree with the theories and dogmas of Marxism or Scientific Socialism
then you are a tool of Capitalist interests. If you disagree with the theories
or dogmas of Catastrophic Anthropogenic Global Warming then you are a tool of
Capitalistic interests. Notice a pattern here? -- Captain Compassion
The object of life is not to be on the side of the majority but to
escape finding oneself in the ranks of the insane. -- Marcus Aurelius
"...the whole world, including the United States, including all that
we have known and cared for, will sink into the abyss of a new Dark
Age, made more sinister, and perhaps more protracted, by the lights
of perverted science." -- Sir Winston Churchill
Joseph R. Darancette
daranc@NOSPAMcharter.net
.
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| User: "Pedro Sanchez" |
|
| Title: Re: Remote sensing of Greenland ice sheet |
15 Jan 2008 11:10:17 AM |
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KOOKs call this science?
On Tue, 15 Jan 2008 08:37:26 -0800, Captain Compassion
<daranc@NOSPAMcharter.net> wrote:
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D24S20,
doi:10.1029/2007JD008742, 2007
http://www.agu.org/pubs/crossref/2007/2007JD008742.shtml
Remote sensing of Greenland ice sheet using multispectral
near-infrared and visible radiances
Petr Chylek
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
M. McCabe
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
M. K. Dubey
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
J. Dozier
Donald Bren School of Environmental Science and Management, University
of California, Santa Barbara, Santa Barbara, California, USA
Abstract
We present the physical basis of and validate a new remote-sensing
algorithm that utilizes reflected visible and near-infrared radiation
to discriminate between dry and wet snow. When applied to the Moderate
Resolution Imaging Spectroradiometer (MODIS) satellite data, our
discrimination algorithm has the potential to retrieve melting regions
of the ice sheet at a spatial resolution of 0.25 km2, over three
orders of magnitude higher than the resolution of current microwave
methods. The method should be useful for long-term monitoring of the
melt area of the Greenland ice sheet, especially regions close to ice
sheet margins and of the outflow glaciers. Our analysis of MODIS
retrievals of the western portion of the Greenland ice sheet over the
period 2000 to 2006 indicates significant interannual variability with
a maximum melt extent in 2005. Collocated in situ meteorological data
reveal a high correlation (0.80) between the MODIS melt-day area and
the average summer temperature. Our analysis suggests that it is the
magnitude of the summer temperature that dominates the melting (not
the variability of the length of the melting season). Furthermore, we
find that the melt-day area increases by about 3.8% for each 0.1 K
increase in the average surface air summer temperature. We combine
this empirical relationship with historic temperature data to infer
that the melt-day area of the western part of the ice sheet doubled
between the mid-1990s and mid-2000s and that the largest ice sheet
surface melting probably occurred between 1920s and 1930s, concurrent
with the warming in that period.
Received 2 April 2007; accepted 19 November 2007; published 14
December 2007.
.
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| User: "Captain Compassion" |
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| Title: Re: Remote sensing of Greenland ice sheet |
15 Jan 2008 09:30:51 PM |
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On Tue, 15 Jan 2008 12:10:17 -0500, Pedro Sanchez
<pedro.sanchez2008@yahoo.com> wrote:
KOOKs call this science?
So the study is false?
On Tue, 15 Jan 2008 08:37:26 -0800, Captain Compassion
<daranc@NOSPAMcharter.net> wrote:
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D24S20,
doi:10.1029/2007JD008742, 2007
http://www.agu.org/pubs/crossref/2007/2007JD008742.shtml
Remote sensing of Greenland ice sheet using multispectral
near-infrared and visible radiances
Petr Chylek
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
M. McCabe
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
M. K. Dubey
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
J. Dozier
Donald Bren School of Environmental Science and Management, University
of California, Santa Barbara, Santa Barbara, California, USA
Abstract
We present the physical basis of and validate a new remote-sensing
algorithm that utilizes reflected visible and near-infrared radiation
to discriminate between dry and wet snow. When applied to the Moderate
Resolution Imaging Spectroradiometer (MODIS) satellite data, our
discrimination algorithm has the potential to retrieve melting regions
of the ice sheet at a spatial resolution of 0.25 km2, over three
orders of magnitude higher than the resolution of current microwave
methods. The method should be useful for long-term monitoring of the
melt area of the Greenland ice sheet, especially regions close to ice
sheet margins and of the outflow glaciers. Our analysis of MODIS
retrievals of the western portion of the Greenland ice sheet over the
period 2000 to 2006 indicates significant interannual variability with
a maximum melt extent in 2005. Collocated in situ meteorological data
reveal a high correlation (0.80) between the MODIS melt-day area and
the average summer temperature. Our analysis suggests that it is the
magnitude of the summer temperature that dominates the melting (not
the variability of the length of the melting season). Furthermore, we
find that the melt-day area increases by about 3.8% for each 0.1 K
increase in the average surface air summer temperature. We combine
this empirical relationship with historic temperature data to infer
that the melt-day area of the western part of the ice sheet doubled
between the mid-1990s and mid-2000s and that the largest ice sheet
surface melting probably occurred between 1920s and 1930s, concurrent
with the warming in that period.
Received 2 April 2007; accepted 19 November 2007; published 14
December 2007.
--
If you disagree with the theories and dogmas of Marxism or Scientific Socialism
then you are a tool of Capitalist interests. If you disagree with the theories
or dogmas of Catastrophic Anthropogenic Global Warming then you are a tool of
Capitalistic interests. Notice a pattern here? -- Captain Compassion
The object of life is not to be on the side of the majority but to
escape finding oneself in the ranks of the insane. -- Marcus Aurelius
"...the whole world, including the United States, including all that
we have known and cared for, will sink into the abyss of a new Dark
Age, made more sinister, and perhaps more protracted, by the lights
of perverted science." -- Sir Winston Churchill
Joseph R. Darancette
daranc@NOSPAMcharter.net
.
|
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| User: "Pedro Sanchez" |
|
| Title: Re: Remote sensing of Greenland ice sheet |
16 Jan 2008 07:55:34 AM |
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w.d.y.t.
On Tue, 15 Jan 2008 19:30:51 -0800, Captain Compassion
<daranc@NOSPAMcharter.net> wrote:
On Tue, 15 Jan 2008 12:10:17 -0500, Pedro Sanchez
<pedro.sanchez2008@yahoo.com> wrote:
KOOKs call this science?
So the study is false?
On Tue, 15 Jan 2008 08:37:26 -0800, Captain Compassion
<daranc@NOSPAMcharter.net> wrote:
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D24S20,
doi:10.1029/2007JD008742, 2007
http://www.agu.org/pubs/crossref/2007/2007JD008742.shtml
Remote sensing of Greenland ice sheet using multispectral
near-infrared and visible radiances
Petr Chylek
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
M. McCabe
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
M. K. Dubey
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
J. Dozier
Donald Bren School of Environmental Science and Management, University
of California, Santa Barbara, Santa Barbara, California, USA
Abstract
We present the physical basis of and validate a new remote-sensing
algorithm that utilizes reflected visible and near-infrared radiation
to discriminate between dry and wet snow. When applied to the Moderate
Resolution Imaging Spectroradiometer (MODIS) satellite data, our
discrimination algorithm has the potential to retrieve melting regions
of the ice sheet at a spatial resolution of 0.25 km2, over three
orders of magnitude higher than the resolution of current microwave
methods. The method should be useful for long-term monitoring of the
melt area of the Greenland ice sheet, especially regions close to ice
sheet margins and of the outflow glaciers. Our analysis of MODIS
retrievals of the western portion of the Greenland ice sheet over the
period 2000 to 2006 indicates significant interannual variability with
a maximum melt extent in 2005. Collocated in situ meteorological data
reveal a high correlation (0.80) between the MODIS melt-day area and
the average summer temperature. Our analysis suggests that it is the
magnitude of the summer temperature that dominates the melting (not
the variability of the length of the melting season). Furthermore, we
find that the melt-day area increases by about 3.8% for each 0.1 K
increase in the average surface air summer temperature. We combine
this empirical relationship with historic temperature data to infer
that the melt-day area of the western part of the ice sheet doubled
between the mid-1990s and mid-2000s and that the largest ice sheet
surface melting probably occurred between 1920s and 1930s, concurrent
with the warming in that period.
Received 2 April 2007; accepted 19 November 2007; published 14
December 2007.
.
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| User: "Captain Compassion" |
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| Title: Re: Remote sensing of Greenland ice sheet |
16 Jan 2008 11:23:39 AM |
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On Wed, 16 Jan 2008 08:55:34 -0500, Pedro Sanchez
<pedro.sanchez2008@yahoo.com> wrote:
w.d.y.t.
I think that this is as valid as any other study I've seen. The point
is that things are always in flux. Current weather/climate phenomenon
that is reported as the "worst in history" is usually found to be hype
if you expand the definition of history. AGW attempts to explain
current melting of the Greenland ice cap. AGW can't explain the even
greater melting of the ice cap in the 1920's and 1930's.
On Tue, 15 Jan 2008 19:30:51 -0800, Captain Compassion
<daranc@NOSPAMcharter.net> wrote:
On Tue, 15 Jan 2008 12:10:17 -0500, Pedro Sanchez
<pedro.sanchez2008@yahoo.com> wrote:
KOOKs call this science?
So the study is false?
On Tue, 15 Jan 2008 08:37:26 -0800, Captain Compassion
<daranc@NOSPAMcharter.net> wrote:
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D24S20,
doi:10.1029/2007JD008742, 2007
http://www.agu.org/pubs/crossref/2007/2007JD008742.shtml
Remote sensing of Greenland ice sheet using multispectral
near-infrared and visible radiances
Petr Chylek
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
M. McCabe
Space and Remote Sensing, Los Alamos National Laboratory, Los Alamos,
New Mexico, USA
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
M. K. Dubey
Earth and Environmental Sciences, Los Alamos National Laboratory, Los
Alamos, New Mexico, USA
J. Dozier
Donald Bren School of Environmental Science and Management, University
of California, Santa Barbara, Santa Barbara, California, USA
Abstract
We present the physical basis of and validate a new remote-sensing
algorithm that utilizes reflected visible and near-infrared radiation
to discriminate between dry and wet snow. When applied to the Moderate
Resolution Imaging Spectroradiometer (MODIS) satellite data, our
discrimination algorithm has the potential to retrieve melting regions
of the ice sheet at a spatial resolution of 0.25 km2, over three
orders of magnitude higher than the resolution of current microwave
methods. The method should be useful for long-term monitoring of the
melt area of the Greenland ice sheet, especially regions close to ice
sheet margins and of the outflow glaciers. Our analysis of MODIS
retrievals of the western portion of the Greenland ice sheet over the
period 2000 to 2006 indicates significant interannual variability with
a maximum melt extent in 2005. Collocated in situ meteorological data
reveal a high correlation (0.80) between the MODIS melt-day area and
the average summer temperature. Our analysis suggests that it is the
magnitude of the summer temperature that dominates the melting (not
the variability of the length of the melting season). Furthermore, we
find that the melt-day area increases by about 3.8% for each 0.1 K
increase in the average surface air summer temperature. We combine
this empirical relationship with historic temperature data to infer
that the melt-day area of the western part of the ice sheet doubled
between the mid-1990s and mid-2000s and that the largest ice sheet
surface melting probably occurred between 1920s and 1930s, concurrent
with the warming in that period.
Received 2 April 2007; accepted 19 November 2007; published 14
December 2007.
--
If you disagree with the theories and dogmas of Marxism or Scientific Socialism
then you are a tool of Capitalist interests. If you disagree with the theories
or dogmas of Catastrophic Anthropogenic Global Warming then you are a tool of
Capitalistic interests. Notice a pattern here? -- Captain Compassion
The object of life is not to be on the side of the majority but to
escape finding oneself in the ranks of the insane. -- Marcus Aurelius
"...the whole world, including the United States, including all that
we have known and cared for, will sink into the abyss of a new Dark
Age, made more sinister, and perhaps more protracted, by the lights
of perverted science." -- Sir Winston Churchill
Joseph R. Darancette
daranc@NOSPAMcharter.net
.
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| User: "" |
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| Title: Re: Remote sensing of Greenland ice sheet |
15 Jan 2008 09:36:29 PM |
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On Jan 15, 8:37=A0am, Captain Compassion <dar...@NOSPAMcharter.net>
wrote:
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D24S20,
We combine this empirical relationship with historic temperature data to i=
nfer
that the melt-day area of the western part of the ice sheet doubled
between the mid-1990s and mid-2000s and that the largest ice sheet
surface melting probably occurred between 1920s and 1930s, concurrent
with the warming in that period.
Yup..
It's melting.
.
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| User: "The corpse of Reagan as a doorstop" |
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| Title: Re: Remote sensing of Greenland ice sheet |
16 Jan 2008 08:36:42 AM |
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Petr Chylek is a known dissenter of the current theories of global
warming. The question is, does his beliefs effect how he views data
or does the data effect his beliefs? I believe that Chylek probably
is just being a good scientist with no political agenda.
I think climatology is far too complicated for us to dismiss or accept
a conclusion about future conditions at this time. For anyone here
to jump to any conclusion now is foolish and misguided. To dig up any
scientific report that seems to back your opinion as proof that you're
are right is also foolish. Plus, you're doing yourself a great
disservice if you only read those reports that back your opinions.
Remember that climatology is a new science with a long ways to go
before approaching anything near moderate accuracy.
Global warming describes an gross increase in temperature. Anecdotal
evidence of melting ice here, freezing ice there is only a tip of the
iceberg.
Whatever you do, don't rely on websites with a left or right bias to
get your information. When you read a report, do some research on the
scientists who wrote the report to see if they have a bias that might
be effecting their science. Some scientists receive money from oil
companies and other biased sources.
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