Sentences with phrase «also global datasets»
There are also global datasets of indices representing the more extreme aspects of climate called CLIMDEX, providing a list of 27 core climate extremes indices (so - called the «ETCCDI» indices, referring to the «CCl / CLIVAR / JCOMM Expert Team on Climate Change Detection and Indices»).
http://www.realclimate.org/ Not exact matches
The team also explored the link between hydrological drought and wildfire using the monthly fire area burnt from the spatially distributed Global Fire Emission Dataset from the period 1996 - 2015.
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).
World Meteorological Organization also confirmed 2017 as being among the three warmest years, and the warmest year without an El Niño, by consolidating the five leading international datasets, including HadCRUT4, which showed that overall the global average surface temperature in 2017 was approximately 1.1 ° Celsius above the pre-industrial era.
Tamino at the Open Mind blog has also compared the rates of warming projected by the FAR, SAR, and TAR (estimated by linear regression) to the observed rate of warming in each global surface temperature dataset.
The main dataset is known as the Global Historical Climatology Network (GHCN), but a large component of this dataset is also available as a separate dataset called the U.S. Historical Climatology Network (USHCN).
It was March 2014 and climate deniers were still saying «the world was cooling since 1998 ′ — cherry picking in the least - established global temperature datasets, like that clunky old graph the University of Alabama keeps updating [no offense, we also have a thermometer in my backyard — but graphing and posting it does not really contribute to science.]
The most recent decades of non-random adjustments are clearly an attempt by agenda scientists to rid the NOAA global dataset of the very inconvenient and embarrassing 21st century «pause», also called the «hiatus.»
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).
Also on the statement from the Met Office; «A spokesman at the Met Office, which jointly produces global temperature datasets with the Climate Research Unit, said there was no need for an inquiry.
In an unpublished paper, Watts et al. raise new questions about the adjustments applied to the U.S. Historical Climatology Network (USHCN) station data (which also form part of the GHCN global dataset).
«The K15 global merged dataset is also not archived nor is it available in machine - readable form....
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
In addition, this NOAA dataset also makes it perfectly clear that global climate change is not some simple linear function of human greenhouse gases, as proposed by low - information elites and media.
Also used are version 15.0 of the 0.25 ° resolution E-OBS dataset for Europe (available up to December 2016), the 2.5 ° resolution Global Precipitation Climatology Project (GPCP) dataset as was available up to March 2017 (with interim data from September 2016) when downloaded in May 2017, and the 0.25 ° resolution NASA TMPA / 3B43 dataset for the 50 ° N to 50 ° S band that covered from 1998 to December 2016 when downloaded.
It seems likely that similar poor siting biases also exist in global thermometer datasets, and this has probably led to an overestimation of the amount of «global warming» since the 19th century.
You then asked «Or perhaps you can point me to the dataset that shows, for several individual locations for the same period as the temperature set the: * CO2 concentrations (OK, we could use Mauna Loa for that) * Aerosols (sorry, can't use global records for that, there can be huge differences on a local scale) * Absolute humidity * TSI with correction for local albedo, including cloud albedo, and the place on earth» Well actually, I can and have for the USA in terms of CO2, humidity (RH but AH also if you insist), and albedo, not to mention actual solar surface radiation, and various other variables (eg windspeed), as I have previously reported here for quite a few locations, eg Pt Barrow.