Latest NOAA Daily SST Anomaly

NOAA’s  latest Daily Sea Surface Temperature (SST)  Map. Link
                              Click image to see full size

Nino 3.4 Anomaly Continues to Increase

nino34

“The Niño3.4 SST anomaly index is an indicator of central tropical Pacific El Niño conditions. It is calculated with SSTs in the box 170°W – 120°W, 5°S – 5°N.”  NOAA -State of the Ocean Climate

Nino34

NOAA’s weekly data file since January, 1990 is here.

Nino3.4  continues to increase, indicating that we are heading for an El Nino event. The impact of an El Nino can be significant to global temperatures, 1998 for example.  It is to early to tell whether 2014 will see a significant El Nino like 1998 or just a minor event.

Tracking El Nino Forecasts

nino34

 

Anthony Barnston: Chief Forecaster – International Research Institute for Climate and Society (5/15/14)

 

Kevin Trenberth: 

(5/12/14)

(4/18/14) 

 

NOAA : Weekly ENSO Update

 

Robert Scribbler

6/2/24: 

May Likely to Break Global High Temperature Record as El Nino Conditions Strengthen in Pacific

This gif shows progression of warm water across equatorial Pacific with weekly profiles of ocean water temperature anomaly. X axis is longitude and Y axis is ocean water depth – meters. Warm water is progressing from west to east and rising. As warm water rises to surface, it releases ocean heat to the atmosphere.

5/22/14 Global Sea Surface Temperatures Increase to Extraordinary +1.25 C Anomaly as El Nino Tightens Grip on Pacific

5/16/14 Deep Ocean Warming Coming Back to haunt us 

3/25/14 Monster El Nino Emerging From the Depths

 Dr. Jeff Masters

(5/12/14)

 

David Appell – Quark Soup

5/13/13

El Nino Forecast for Summer 2014 Looking Stronger

WSI Blog has a post by Dr. Todd Crawford that forecasts a strong El Nino later this summer. Based on analogs, he anticipates that it could be comparable to the mega El Ninos of 1997-98.

elnino

 

The 1997-98 El Nino event had a major impact on global temperature anomaly trends.  A major 2014-2015 El Nino could provide strong evidence in the “gloabal warming stopped in 1998″  debate.

 

Climate Charts & Graphs Cleanup Progressing

Just a quick not to my blog visitors that I have been working to update my blog to show current climate data charts and to address missing charts and files.

I’ve been keeping many of my source data files, R scripts and images on another web site. this has made the routine maintenance more cumbersome than necessary.

My plan is to have all of my climate chart material self contained in one blog rather than store it on another web site. The transfer process will be causing some hiccups along the way.

I have removed a few older posts to simplify my blog maintenance. I still have some links to blank pages that I will try to cleanup in the next few weeks. If you find a missing data file or plot, let me know and I’ll try to get it restored.

Arctic Amplification – November, 2013: Updated 12/20/13

Updated (bold italic) 12/20/13 to reflect comments from David. 

NASA’s GISS temperature anomaly map (link) for November, 2013 is reproduced  below. It uses a 2×2 degree grid cell for the globe. 

GISS_anom_map_11_13

The November, 2013 GISS temperature anomaly shows the critical global pattern that is important to recognize because it is fundamental to understanding why global warming is so dangerous.

First, the overall global anomaly for November, 2013 was 0.77 degrees C.  The 2 degree latitude zone mean anomaly varied from a low of 0.068 to a high of 2.33. So the mean global anomaly does not tell the full story, we need to look at the geographical distribution to really understand the global warming pattern.

As we examine the geographical distribution of the November, 2013 anomalies, we see that they tend to increase as we move from the equator toward the poles.  This pattern,  called polar amplification, means that the polar regions, particularly the Arctic region, warms much more rapidly than the overall global mean.

I developed this chart in R to display the mean zonal anomalies by 2 degree latitude zones to help me visualize the November, 2013 anomaly patterns.

art_amp

Here is the R Script that I used to produce the chart.
#### GISS Temperature Anomaly - Zonal mean by 2 degree latitude
##K O'Day, Dec. 18, 2013
##############################################################################################################################
 link <- c("http://data.giss.nasa.gov/tmp/gistemp/NMAPS/tmp_GHCN_GISS_ERSST_1200km_Anom11_2013_2013_1951_1980/nmaps_zonal.txt")
 mon <- "November, 2013"
 title <- paste("Mean Temperature Anomaly by 2 Degree Latitude Zones\n", mon, sep="" )
 note_1 <- "GISS Temperature Anomaly\n (1951-1980 base period)"
 df <- read.table(link, skip=4)
 par(las=1, oma=c(3,1,1,1), mar=c(5,5,3,1), ps=11)
 names(df)<- c("Zone", "Anom")
 #png(file="C://R_Home//Charts & Graphs Blog//RClimateTools//a_Revised_Blog//art_amp.png", bg="white")

 plot(df$Anom, df$Zone, xlim=c(0,3), ylim=c(-90,90), type="l", axes=F, xlab="Mean Anomaly for Zone - C",
      ylab = "Latitude",  xaxs="i", yaxs = "i", main=title)
   axis(1, at=NULL)
   axis(2, at=c(-90,-60,-30,0,30,60,90))
   abline(h=40, col="green")
   abline(h=0, col="darkgrey")
   abline(v=0.77,col = "black" )
   abline(h=64, col="blue")
   text(2.5, 43.5, "Philadelphia, Pa.", cex=0.7)
   text(2.7, 67, "Reykjavík, Iceland", cex=0.7)
   text(2.25, -20, note_1, cex=0.75, adj=0)
   rect(0.6,-65,0.85 , -50, col = "white", border = "white")
   text(0.77, -60, "Global Mean @ \n0.77 C", cex=0.7)
 mtext("D Kelly O'Day - https://chartsgraphs.wordpress.com", 1,1, adj = 0, cex = 0.8, outer=T)
 mtext(format(Sys.time(), "%m/%d/ %Y"), 1, 1, adj = 1, cex = 0.8, outer=T)
# dev.off()

Pardon My Absence

I’ve been busy on other projects and have not been maintaining this blog.  For the past 2 years I’ve been working on local (Philadelphia) environmental issues and simply did not have the time to keep up with my climate charts.

I am reactivating this blog with a renewed sense of purpose. I will be cleaning up the blog, prioritizing and streamlining the site. Please bear with this clean-up effort.