The graphic displays
monthly global temperature data from the U.K. Met Office and charts how each month compares to the average for the same period from 1850 - 1900, the same baselines used in the most recent report from the Intergovernmental Panel on Climate Change.
Not exact matches
Figure 2: The
data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4
monthly global surface
temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).
The
data (green) are NASA GISS
monthly global surface
temperature anomaly
data from January 1970 through December 2014, with linear trends for the short time periods Jan 1970 — Oct 1977, Apr 1977 — Dec 1986, Apr 1987 — Oct 1996, Aug 1997 — Dec 2002, Jan 2003 — Jun 2012, and Jul 2012 — Feb 2014 (blue), and also showing the far more reliable linear trend for the full time period (red).
Fig. 1 Revision history of two individual
monthly values for January 1910 and January 2000 in the GISTEMP
global temperature data from NASA (Source: WUWT)
But despite that which part of Fig. 3: Measurements of
global temperature (RSS,
monthly values, last
data point October 2016) compared to the forecast for
global temperature til 2030 by Vahrenholt & Lüning (2012: Figure 73).
The dependent variable is
global temperature, NCDC
data for
monthly anamalies.
References Rennie, J.J. and coauthors, 2014, The International Surface
Temperature Initiative
Global Land Surface Databank:
Monthly Temperature Data Version 1 Release Description and Methods.
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.
Monthly and 12 - month average
global temperature development, showing (with only December
data still missing) 2017 will likely rank as the third hottest year on record, despite a developing La Niña.
Having established that the
global temperature monthly anomalies plummeted by -0.75 C in the last 10 months using RSS
data, can you explain the mechanism for that cooling?
Monthly values of the
global temperature anomaly of the lower atmosphere, compiled at the University of Alabama from NASA satellite
data, can be found on Dr. Roy Spencer's website.
The NASA GISTEMP
global average surface
temperature data have been updated to include January 2016, which had the largest
monthly temperature anomaly ever recorded: 1.13 °C elsius above the 1951 - 1980 baseline.
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»
I call the
data on
global temperatures presented
monthly by HAD / CRU, NOAA / NCDC.
I know that the
data that is presented on
global temperatures daily,
monthly and yearly, is not raw
data; it has had a considerable amount of processing before it is presented as an average
global temperature.
With John Christy he presents the
monthly real - world
data from the microwave sounding unit satellites that provide the least inaccurate
global temperature record we have.
When scientists in the 1960s - 70s compiled
data to build their
global average
temperature series they used state averages of
monthly mean
temperatures from weather stations around the world.
Figure 2: The
data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4
monthly global surface
temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).
The source of the
monthly mean station
temperatures for the GISS analysis is the
Global Historical Climatology Network (GHCN) of Peterson and Vose [1997] and updates, available electronically, from the National Climatic
Data Center (NCDC).
Global temperature anomalies can also be reproduced using
monthly NINO3.4 SST anomaly
data.
Add to that scaled
monthly sunspot
data to introduce the 0.1 deg C variations is surface
temperature resulting from the solar cycle and add scaled
monthly Stratospheric Aerosol Optical Depth
data for dips and rebounds due to volcanic eruptions, and
global surface
temperature anomalies can be reproduced quite well.
In the post Alarmism Cranked Up to Absurd Level, we discussed the misleading media reports about the temporary February 2016 El Niño - related uptick in
monthly global surface
temperature data from the Goddard Institute of Space Studies.
http://www.skepticalscience.com/graphics.php?g=47 The
data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4
monthly global surface
temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red
Other major
global land temperature reconstructions by NASA, NOAA, and the Hadley Center largely rely on the same set of monthly data from about 7,000 stations that comprise the Global Historical Climatological Network (GHCN
global land
temperature reconstructions by NASA, NOAA, and the Hadley Center largely rely on the same set of
monthly data from about 7,000 stations that comprise the
Global Historical Climatological Network (GHCN
Global Historical Climatological Network (GHCN - M).
The National Climatic
Data Center (NCDC), which is part of the National Oceanic and Atmospheric Administration (NOAA), has maintained
global average
monthly and annual records of combined land and ocean surface
temperatures for more than 130 years.
Theclimatebet.comtracks
monthly data on
global mean
temperatures to show how our bet would have fared had Mr Gore been willing to bet the IPCC «business as usual» scenario against my bet on «no trend.»
The
global ocean temperature analysis is primarily based on buoy and ship observations from the International Comprehensive Ocean Atmosphere Dataset (ICOADS), while monthly data updates come from the Global Telecommunications System
global ocean
temperature analysis is primarily based on buoy and ship observations from the International Comprehensive Ocean Atmosphere Dataset (ICOADS), while
monthly data updates come from the
Global Telecommunications System
Global Telecommunications System (GTS).
I track the
monthly NOAA CO2
data,
monthly Hadcrut3
temperature,
Global Emissions (estimated from the BP statistical review), and
monthly MEI, among other things.
The GISTEMP
monthly global temperature series was used for all
temperature data.
The earlier
data that do exist may be used to construct a very uncertain estimate of Australian
temperatures, and may also be used for the construction of
global and hemispheric
temperature averages on
monthly and annual time scales.
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
To summarize, there is a severe annual cycle in the UAH LT
data set that results in a noticeable divergence in both the
global and tropical
monthly temperature trends over the 1979 - 2008 period.
Recently it was realized that the
monthly more - or - less - automatic updates of our
global temperature analysis had a flaw in the U.S.
data.
The
data (green) are NASA GISS
monthly global surface
temperature anomaly
data from January 1970 through December 2014, with linear trends for the short time periods Jan 1970 — Oct 1977, Apr 1977 — Dec 1986, Apr 1987 — Oct 1996, Aug 1997 — Dec 2002, Jan 2003 — Jun 2012, and Jul 2012 — Feb 2014 (blue), and also showing the far more reliable linear trend for the full time period (red).
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/