Sentences with phrase «monthly global land»

the annual variations in monthly global land surface temperatures are 4 times higher than those of TLT.

As noted in my earlier reply, the annual variations in monthly global land surface temperatures are 4 times higher than those of TLT.

> We analyze and compare the monthly global land - sea surface temperature datasets HADCRUT3 and HADCRUT4 for 1850 - 2010 by subtracting two analytically modeled components and demonstrating with a suitable low - pass filter that the residue contains no significant fluctuations with periods longer than the 22 - year Hale cycle.

This was also the highest monthly global land temperature departure from average since April 2016.

Not exact matches

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.

My amateur spreadsheet tracking and projecting the monthly NASA GISS values suggests that while 2018 and 2019 are likely to be cooler than 2017, they may also be the last years on Earth with global average land and ocean surface temperature anomaly below 1C above pre-industrial average (using 1850 - 1900 proxy).

Here are the January NCDC / NOAA LAND GLOBAL MONTHLY ANOMALIES.

For those bloggers who like to check the numbers for themselves, the above web page gives the GLOBAL MONTHLY LAND TEMPERATURE ANOMALIES per NCDC / NOAA.

Chen, M. Y., Xie, P. P., Janowiak, J. E. & Arkin, P. A. Global land precipitation: a 50 - yr monthly analysis based on gauge observations.

Monthly averages of global mean surface temperature (GMST) include natural variability, and they are influenced by the differing heat capacities of the oceans and land masses.

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 (GHCNglobal 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 (GHCNGlobal 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.

The standard deviation of the monthly MSU 2R anomalies has a much more zonally symmetric structure (Fig. 4 and Fig. 5) so that relative to the surface there is a much larger contribution from the northern oceans and a generally smaller contribution over land and near the equator to the hemispheric and global means.

NCDC merges their Extended Reconstructed Sea Surface Temperature version 3b (ERSST.v3b) with the Global Historical Climatology Network - Monthly (GHCN - M) version 3.2.0 for land surface air temperatures.

2014 was not a record for global land areas [4th only] 2014 was not a record for the entire land oceans for Southern Hemisphere (2nd only) It was a record only for Northern Hemisphere oceans SST anomalies and only the North Pacific showed extra warming mostly as shown on Bob Tisdale's monthly reports of Ocean SST's The North Pacific SST has risen steadily from an anomaly of about 0.3 C in 2010 to almost 0.7 C in 2014.

Chen, M., Xie, P., Janowiak, J. E. & Arkin, P. A. Global land precipitation: a 50 - yr monthly analysis based on gauge observations.

Provisional estimates of average global temperatures based on monthly climatological land - station and sea - surface temperature records have suggested it could be the warmest year on record.

«Historic and future increase in the global land area affected by monthly heat extremes» (Dim Coumou and Alexander Robinson 2013 Environ.

For those of a data availability persuasion we have just released a beta of a new global land surface databank consisting of over 39,000 station records at monthly resolution.

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

The SST is more damped than the ocean - air above and thus exhibits less wobbliness (ie s.d. of NOAA monthly global ΔSST data is only 15 % as wobbly as the land ΔSAT data) and the linear correlation is only just statistically significant.

But the accumulative effect of these SAT wobbles on SST (& visa versa) at an annual level are evident in the relative levels of wobbliness being more closely matched than in the monthly data (ie s.d. of NOAA annual global ΔSST data is 40 % as wobbly as the land ΔSAT) and the linear correlation rising to 15 %.