Not exact matches
In the new set - up, a real - world seasonal forecast driven by
data on current
sea -
surface temperatures will be run alongside a simulated «no
global warming» seasonal forecast, in which greenhouse gas emissions have been stripped out.
The reason could be linked to rising
sea surface temperatures — fueled in part by
global warming — as seen in ocean buoy
data collected along the U.S. coast.
In addition, the early
data for
sea surface temperatures is not
global, which further limits the usefulness of these
data for long period harmonic analysis.
------------ PS: The
Global Coral Reef Alliance has documented dramatic declines in coral reefs caused by global warming of surface waters, using satellite data of of global coral reefs and sea surface tempera
Global Coral Reef Alliance has documented dramatic declines in coral reefs caused by
global warming of surface waters, using satellite data of of global coral reefs and sea surface tempera
global warming of
surface waters, using satellite
data of of
global coral reefs and sea surface tempera
global coral reefs and
sea surface temperatures.
Using monthly - averaged
global satellite records from the International Satellite Cloud Climatology Project (ISCCP [5]-RRB- and the MODerate Resolution Imaging Spectroradiometer (MODIS) in conjunction with
Sea Surface Temperature (SST)
data from the National Oceanic and Atmospheric (NOAA) extended and reconstructed SST (ERSST) dataset [7] we have examined the reliability of long - term cloud measurements.
When sceptics look at statistical
data, whether it is recent ice melt, deep
sea temperatures, current trend in
global surface temperatures, troposphere
temperatures, ice core records etc. they look at the
data as it is without any pre-conceptions and describe what it says.
The Group for High Resolution SST (GHRSST) is a follow on activity form the
Global Ocean Data Assimilation Experiment (GODAE) high - resolution sea surface temperature pilot project (GHRSST - PP) provides a new generation of global high - resolution (< 10 km) SST data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed
Global Ocean
Data Assimilation Experiment (GODAE) high - resolution sea surface temperature pilot project (GHRSST - PP) provides a new generation of global high - resolution (< 10 km) SST data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed m
Data Assimilation Experiment (GODAE) high - resolution
sea surface temperature pilot project (GHRSST - PP) provides a new generation of
global high - resolution (< 10 km) SST data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed
global high - resolution (< 10 km) SST
data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed m
data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed mode.
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
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
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
surface warming hiatus» «Assessing the impact of satellite - based observations in
sea surface temperature trends
surface temperature trends»
Back in 2009, by analysing the
data, I found that the
global average
sea surface temperature, the SST, stays fairly constant when the Sun is averaging around 40 sunspots per month.
Tapster, Dan, 167 Tata Steel Corporation, 44 Taylor, Mitch, 137 Taylor, Richard, 107 - 108
Temperature,
global, 10, 14, 16, 47 - 48, 51, 53, 55 - 56, 58 - 69, 79 - 80, 86 - 87, 89 - 92, 94, 97 - 99, 101, 105 - 108, 110, 120, 133, 135 - 136, 140, 147, 159 - 160, 162, 169, 180, 182, 239 - 240, 242, 246 proxy, 58, 60, 64, 66, 69, 76, 159 - 160 record (
data), 145, 147 - 153, 160 - 161, 169
sea surface (SST), 58 - 62, 68 - 69, 116 - 118, 139, 238, 240 Texas A & M University, 167 Texas Tech University, 116 The Book of Icelanders, 56 The Chilling Stars, 96 The Climate Crisis, 120 The Foundation Center, 175 The Guardian, 124 The New York Times, 103, 105 The Population Bomb, 32 The Weather Makers, 10 TNO Management Consultants, 22 Tornado, 114 - 116, 119 - 120, 125, 240 Trenberth, Kevin, 67, 119, 162 - 163, 170, 238 Trent University, 156 Troposphere, 89 - 91, 96, 105 Tunesia, 157 Turner, Jonathan, 28 Turner, Ted, 33 Tyndall Centre for Climate Change Research, 35, 167 - 168, 225
Changes in instrumentation and
data availability have caused time - varying biases in estimates of
global - and regional - average
sea -
surface temperature.
I am especially interested in the historic aspects of the subject, nanely the belief that we can hve an accurate idea of
sea surface global temperatures back to 1850 bearing in mind the sparsity of the
data and the methods by which they were collected.
That is, the animation of the GISS maps and the
data GISS provides with those maps show that the trends in
global sea surface temperature are driven by the multidecadal variations in the strengths and magnitudes of El Niño and La Niña events.
It is not simply detrended
sea surface temperature anomaly
data like the AMO.The PDO
data is the standardized leading principal component of the
sea surface temperatures of the North Pacific, north of 20N, after
global sea surface temperatures are subtracted from the
sea surface temperatures of each 5 × 5 deg grid.
-LSB-[«Trying to get a little more quantitative, I went to woodfortrees to check out the trend for something similar — in this case the HADSST2
global sea surface temperature anomaly
data.
The revisions to NOAA's long - term
sea surface temperature datasets were presented in the Karl, et al. (2015) paper Possible artifacts of
data biases in the recent
global surface warming hiatus.
Because the GISS analysis combines available
sea surface temperature records with meteorological station measurements, we test alternative choices for the ocean
data, showing that
global temperature change is sensitive to estimated
temperature change in polar regions where observations are limited.
«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»»
The figure shows that the impact of the adjustment to remove the cold bias from bucket
sea surface temperature measurements warms the historical
data, decreasing the amount of
global warming the
data indicate.
Now, Stephen Briggs from the European Space Agency's Directorate of Earth Observation says that
sea surface temperature data is the worst indicator of
global climate that can be used, describing it as «lousy».
Observed changes in (a)
global average
surface temperature; (b)
global average
sea level rise from tide gauge (blue) and satellite (red)
data and (c) Northern Hemisphere snow cover for March - April.
Figure 3:
Global mean sea level variations (light line) computed from the TOPEX / POSEIDON satellite altimeter data compared with the global averaged sea surface temperature variations (dark line) for 1993 to
Global mean
sea level variations (light line) computed from the TOPEX / POSEIDON satellite altimeter
data compared with the
global averaged sea surface temperature variations (dark line) for 1993 to
global averaged
sea surface temperature variations (dark line) for 1993 to 1998.
Note we're using BEST land area, so actual rates of warming are slightly elevated from
global levels including
sea surface temperatures, however BEST has enough resolution to allow us to work with 12.5 years of
temperature data and not have such abysmal CI as to need to reject the comparisons outright..
Now the NOAA
data comes in and confirms the GISS
data, and shows the http://www.ncdc.noaa.gov/oa/climate/research/2009/jun/
global.html
Global Highlights: Based on preliminary
data, the globally averaged combined land and
sea surface temperature was the second warmest on record for June and the January - June year - to - date tied with 2004 as the fifth warmest on record.
This work looked at climate model
data to confirm that
sea -
surface temperature patterns can be used as an indicator of Amoc's strength and revealing that it has been weakening even more rapidly since 1950 in response to recent
global warming.
As just one example; «How we can know an average
global sea surface temperature back to 1850 when so much of the world was unexplored let alone its oceans measured» should be just one example that should make scientists question whether the models they build are actually using reliable
data, or whether they think they already know the answer and therefore just use
data that supports it, no matter its doubtful provenance.
Keep in mind, when reading Smith et al (2008), that the NCDC removed the satellite - based
sea surface temperature data because it changed the annual
global temperature rankings.
Temperature:
Global — Ground and
Sea Surface Temperature Naval Research Laboratory (NRL) Monterey Marine Meteorology Division — Click the pic to view at source
Global Surface Temperature Anomalies National Oceanic & Atmospheric Administration (NOAA)-- Earth System Research Laboratory (ESRL)-- Click the pic to view at source
Global —
Sea Surface Temperature Anomalies National Oceanic and Atmospheric Administration (NOAA)-- National Climatic
Data Center (NCDC)-- Click the pic to view at source UAH Lower Atmosphere
Temperature Anomalies — 1979 to Present.
Moreover, taking the proxy
sea surface temperature data for the peak Eocene period (55 — 48 Myr BP) at face value yields a
global temperature of 33 — 34 °C (fig. 3 of Bijl et al. [84]-RRB-, which would require an even larger CO2 amount with the same climate models.
A study published Wednesday in Science Advances confirms once again that there was no
global warming hiatus or cooling period during the past 20 years, an idea that had previously been raised in earlier assessments of
sea surface temperature data.
Using measured amounts of GHGs during the past 800000 years of glacial — interglacial climate oscillations and
surface albedo inferred from
sea - level
data, we show that a single empirical «fast - feedback» climate sensitivity can account well for the
global temperature change over that range of climate states.
A model —
data comparison of the Holocene
global sea surface temperature evolution.
Sampling uncertainty in gridded
sea Sampling uncertainty in gridded
sea surface temperature products and Advanced Very High Resolution Radiometer (AVHRR)
Global Area Coverage (GAC)
data
Combined with
data from satellites, the
Global Drifter Network now provides scientists with twice - weekly updates on currents and
sea surface temperatures throughout the world.
These datasets include: NOAA Climate
Data Record (CDR) of
Sea Surface Temperature - WHOI, Version 1.0 U.S. Monthly Extremes
Global Historical Climatology Network — Monthly (GHCN - M) Version 3 African Easterly Wave Climatology Version 1 NOAA Climate
Data Record (CDR) of Daily Outgoing Longwave Radiation (OLR), Version 1.2 NOAA Climate
Data Record (CDR) of Monthly Outgoing Longwave Radiation (OLR), Version 2.2 - 1
Global Surface Summary of the Day — GSOD Monthly Summaries of the
Global Historical Climatology Network — Daily (GHCN - D) I nternational
Surface Temperature Initiative (ISTI)
Global Land
Surface Temperature Databank — Stage 1 Monthly International
Surface Temperature Initiative (ISTI)
Global Land
Surface Temperature Databank — Stage 2 Monthly International
Surface Temperature Initiative (ISTI)
Global Land
Surface Temperature Databank — Stage 3 Monthly International
Surface Temperature Initiative (ISTI)
Global Land
Surface Temperature Databank — Stage 1 Daily... Continued
These datasets include: NOAA Optimum Interpolation 1/4 Degree Daily
Sea Surface Temperature (OISST) Analysis, Version 2 AVHRR Pathfinder Version 5.2 Level 3 Collated (L3C)
Global 4 km
Sea Surface Temperature (SST) Climate
Data Record (CDR) for 1981 - 2010 NOAA Climate
Data Record (CDR) of Gridded Satellite
Data from ISCCP B1 (GridSat - B1) 11 micron Brightness
Temperature, Version 2 NCDC Storm Events Database Coastal Economic Trends for Coastal Geographies Demographic Trends (1970 - 2010) for Coastal Geographies FEMA HAZUS Critical Facilities for Coastal Geographies Time - Series
Data for Self - Employed Economic Activity Dependent on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 Time - Series
Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 (Sector and Industry Level) Time - Series
Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 (Sector Level)... Continued
(In effect, just as you will see people plot the raw
sea surface temperature data and incorrectly attribute all the change in the region to «AMO», you've tracked the raw
surface temperature change, and others are incorrectly attributing the entire effect to «
global warming».)
Climate change indicators:
Global Mean
Temperature (GMT); Hemispheric
Temperature Variance; Greenhouse gases; Arctic, Antarctic Ice Extent and Volume; Ocean Oscillations;
Sea Level Rise (SLR); Solar Cycle
Data;
Sea Surface Temperatures and Anomalies;
Global Fire Activity, Drought.
Global average
temperature The mean
surface temperature of the Earth measured from three main sources: satellites, monthly readings from a network of over 3,000
surface temperature observation stations and
sea surface temperature measurements taken mainly from the fleet of merchant ships, naval ships and
data buoys.
GISS relies on
data collected by other organizations, specifically, NOAA / NCEI's
Global Historical Climatology Network (GHCN) v3 adjusted monthly mean
data as augmented by Antarctic
data collated by UK Scientific Committee on Antarctic Research (SCAR) and also NOAA / NCEI's Extended Reconstructed
Sea Surface Temperature (ERSST) v5
data.
The monthly
global surface temperature data are from NCDC, NOAA: http://www.ncdc.noaa.gov/oa/climate/research/anomalies/index.html; the
global mean
sea level
data are from AVISO satellite altimetry
data: http://www.aviso.oceanobs.com/en/news/ocean-indicators/mean-
sea-level/; and the CO2 at Mauna Loa
data are from NOAA http://www.esrl.noaa.gov/gmd/ccgg/trends/
And the
sea surface temperature and ocean heat content
data do not support the existence of a human - induced
global warming signal.
UAH
global temperatures trend equals
global sea surface temperatures: The black temperature graph — average RSS+UAH satellite NH (Land + Sea)-- has a smaller warming trend than the other (brown) land data series — but in fact resembles the cooler Sea Surface Temperature tre
sea surface temperatures: The black temperature graph — average RSS+UAH satellite NH (Land + Sea)-- has a smaller warming trend than the other (brown) land data series — but in fact resembles the cooler Sea Surface Temperature
surface temperatures: The black
temperature graph — average RSS+UAH satellite NH (Land + Sea)-- has a smaller warming trend than the other (brown) land data series — but in fact resembles the cooler Sea Surface Tempera
temperature graph — average RSS+UAH satellite NH (Land +
Sea)-- has a smaller warming trend than the other (brown) land data series — but in fact resembles the cooler Sea Surface Temperature tre
Sea)-- has a smaller warming trend than the other (brown) land
data series — but in fact resembles the cooler
Sea Surface Temperature tre
Sea Surface Temperature
Surface TemperatureTemperature trend.
In this post, in response to the SkepticalScience animation called the Escalator, I've simply extended that explanation to
global land + plus
sea surface temperature data.
As shown in the above linked essay, there is nothing in the ocean heat content
data or satellite - era
sea surface temperature data to indicate that manmade greenhouse gases have had any impact on the warming of the
global oceans.
Therefore, in contrast to the Jones et al. (2001)
global land -
surface air
temperature data, the
global land and
sea surface temperature data are not a simple average of the hemispheres.