Sentences with phrase «versions of the temperature record»

Hopefully much of the disagreement between different versions of the temperature record can be resolved.
The original motivation for the project came from the fact that different versions of the temperature record were showing substantially different short term trends.
The existence of two distinct cool biases in different versions of the temperature record may of course have contributed to the fact that the problems went undetected.
Indeed, updates to an old version of the temperature record (HadCRUT3) to include better Arctic data saw northern hemisphere temperatures rise by 0.1 degrees Celsius.
This allows you to construct your own version of the temperature record, using either adjusted or unadjusted data for both the land and sea surface temperatures.
Every version of the temperature record is affected by at least one of these sources of bias, as shown in the Table 2.
At the start of the article I asked which existing version of the temperature record was «right».

Not exact matches

The May temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the second highest in the 1979 — 2016 record, at 0.99 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using UAH version 5.6.
The March — May temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the highest in the 1979 — 2016 record, at 1.30 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using version 5.6.
The April temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the highest in the 1979 — 2016 record, at 1.37 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using version 5.6.
The June - August temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the second highest in the 1979 — 2016 record, at 0.77 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using version 5.6.
The August temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the highest in the 1979 — 2016 record, at 0.85 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using UAH version 5.6.
The June temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the third highest in the 1979 — 2016 record, at 0.67 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using UAH version 5.6.
The July temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) tied with 1998 as the highest in the 1979 — 2016 record, at 0.79 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using UAH version 5.6.
The January — May temperature for the lower troposphere was the highest in the 1979 — 2016 record, at 1.33 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using version 5.6.
The January — April temperature for the lower troposphere was the highest in the 1979 — 2016 record, at 1.40 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using version 5.6.
The January — September temperature for the lower troposphere was the highest in the 1979 — 2016 record, at 1.12 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using version 5.6.
The September temperature for the lower troposphere (roughly the lowest 5 miles of the atmosphere) was the highest in the 1979 — 2016 record, at 1.03 °F above the 1981 — 2010 average, as analyzed by the University of Alabama in Huntsville * (UAH) using UAH version 5.6.
After scientists have done the hard work of working out these relations, it is possible to use one ice - core record to represent broader regions IF you restrict consideration to the parts that are widely coherent, so it is O.K. to plot a smoothed version of an Antarctic temperature record against CO2 over long times and discuss the relation as if it is global, but a lot of background is required.
On the allegation of withholding station identifiers we find that CRU should have made available an unambiguous list of the stations used in each of the versions of the Climatic Research Unit Land Temperature Record (CRUTEM) at the time of publication.
@ 183 it was shown that the global temperature record does not immediately demonstrate a convincing BNO (R)(that is a «radiatively forced» version of Judith Curry's Big Natural Oscillation) but it was also asserted that applying some judicious curve - fitting would render any such a demonstration inconclusive.
As the temperature record only represents one particular region, they also plot two reconstructions of Northern Hemisphere temperature which I've reproduced below (I use a colour version of the Moberg reconstruction with the instrumental record included).
Here is the accepted view of Northern Hemisphere temperatures prior to the endless adjustments made these past 20/25 years to the temperature record, which endless adjustments have rendered the modern version of the land thermometer record not fit for scientific purpose:
In my previous three articles on HadSST3, CRUTEM4 and HadCRUT4, I have given an overview of the literature and data concerning the new datasets which comprise the Hadley / CRU version of the instrumental temperature record.
Then he used a number of variables to create another curve which, when combined with the HHA curve, produces a curve very similar to a smoothed version of the HADCRUT3 temperature record.
Carbon Brief produced a raw global temperature record using using unadjusted ICOADS sea surface temperature measurements gridded by the UK Hadley Centre and raw land temperature measurements assembled by NOAA in version 4 of the Global Historical Climatological Network (GHCN).
I do think that work by sceptics has thrown real doubts both on the versions of the long term historical temperature record depended on by the warmists and on the model predictions.
It is obviously important that CRU releases the adjusted version (since this used to calculate the global temperature anomalies), but it would also be beneficial if they could publish (if they have not) the original SMHI record along with the documentation of adjustments they have made to that.
He actually included a lengthy response by Steve to Crowley's challenge that Steve generate his own version of a tree ring based temperature record for the past few millenia.
Looking at three versions of the global surface temperature record, with their different behaviour over the last decade and a half, it is only natural to wonder «which is right?».
The bias in the other versions of the global temperature record due to change in observational platforms can be estimated from the difference between the raw and adjusted HadSST3 data, and is shown in Figure 2.
As to the question about documentation, the basic «GISS Surface Temperature Analysis» page starts with a «Background» section whose first paragraph contains the sentence: «Input data for the analysis,..., is the unadjusted data of GHCN, except that the USHCN station records were replaced by a later corrected version».
The blue points are the 1999 version of the GISS land + sea global average air temperature record.
There are three main versions of the instrumental temperature record, HadCRUT3 from the UK meteorological office, GISTEMP from NASA, and the NCDC dataset from NOAA.
Taking in a broad consideration of the issues, such as the benefit of treating maximum and minimum temperatures independently, it was decided that the instances of maximum being below minimum in the analysis should be left in the record as a known issue for the first version of ACORN - SAT.
We can repeat our earlier observation that CET instrumental to 1659 - this time augmented by the reconstruction using historical records to 1538, demonstrates a temperature profile that looks quite different to significant periods of the remainder of the Northern Hemisphere if the official version of extended climate - as epitomised by the «Hockey stick» - is taken as the appropriate set of data which it should be measured against.
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
Just for fun, I calculated the «correlation» between the GISS temperature versions of Tokyo and New York Central Park for all 1392 months for which the records both exist.
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