Category Archives: Climatology

Tracking El Nino Forecasts



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


Kevin Trenberth: 




NOAA : Weekly ENSO Update


Robert Scribbler


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



David Appell – Quark Soup


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.



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.


Global Sea Level Rise and El Nino – La Nina

Here is an informative interview with NASA’s Josh Willis about global sea level rise and El Nino – La Nina.  I first saw the video on Zeke Hausfather’s  YALE Forum on CLIMATE CHANGE & THE MEDIA

Climate Charts, Data and RClimate Scripts

While there are many online climate data resources, the source data files are in numerous data formats, presenting a challenge to climate citizen scientists who want to retrieve and analyze several climate indicators at the same time.

I have been working to develop a consolidated open access data file and RClimate scripts that users can use to retrieve climate data, conduct their own analysis  and generate their own climate charts.  My goal is to make it easier for climate citizen scientists to get their hands on the data in a simple,  usable format (CSV). This post updates the status of my RClimate efforts.

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Arctic Oscillation: 1 – Trends (Update 1)

arctic oscillation (AO): 1 –  trends Since 1950

In this post, I begin a series on the Arctic Oscillation (AO) .  This post  presents a chart of monthly AO Index from 1950 to the present and introductory information on AO .  I will be updating this chart each month as NOAA updates the data series.  A link to the RClimate script that downloads the source data from NOAA is provided.

Update 1: Reader skrafner noticed that my plot legend indicated a 60-day moving average while the script actually calculated a 60-month moving avg. I’ve updated  the script and plot.

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Mapping Temperature Anomalies with R: UPDATE 12/17/13

In this post I show how to map NASA GISS’s  2×2 degree temperature anomaly data using R mapping tools. Rather than rely on a single value to reflect monthly global temperature anomaly, this map shows the anomalies  in each of the 16,200 cells in a  2 degree lon/lat grid. This lets us see the details that make up the global mean, we can see which areas are warmer and which are cooler.  I provide a link to my RClimate script and data file so that interested R users can make their own maps.

Here’s my R Climate map of NASA’s July 2010 2×2 degree data set. (Click map to check out the enlargement )

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RClimate Tools for Do It Yourself Climate Trend Analysis

In this post I introduce my RClimate functions which allow R users to easily download and plot monthly temperature anomaly data for the 5 major global temperature anomaly data series: GISS, HAD, NOAA, RSS, UAH.

Consolidated LOTA Data File

In this previous post I introduced my global  Land Ocean Temperature Anomaly (LOTA) monthly csv file that Excel and R users can download to conduct climate trend analysis.

In this post, I introduce my RClimate.txt R scripts that users can source() to simplify access to the LOTA data.  Please note that I have used the “.txt” descriptor  for my file type to avoid download problems encountered when I use the standard R file descriptor.

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