Blog Archives

Tracking Climate Trends with RClimate Scripts and Links

February 10, 2010
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Tracking Climate Trends with RClimate Scripts and Links

Some of my visitors may have noticed that I have added a new Climate Images page and have been adding climate data images to my right side panel. So far, I have 6 trend charts, 4 map images, 1 photo image and 1  data value  showing the CO2 concentrations, recent total solar irradiance (TSI) ,

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RClimate Script: Arctic Sea Ice Extent Trend By Month

February 10, 2010
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RClimate Script: Arctic Sea Ice Extent Trend By Month

This RClimate Script lets users retrieve and plot the latest data on Arctic Sea Ice Extent  trends by month from 1979 to latest completed month. The trend chart shows National Snow and Ice Data Center’s (NSIDC)  monthly Arctic Sea Ice extent data. Arctic Sea Ice Trend by Month I’ve discussed the Arctic sea ice extent

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RCimate Script: RSS Global Temperature Anomaly Trends

February 5, 2010
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RCimate Script: RSS Global Temperature Anomaly Trends

This RClimate Script lets users retrieve and plot the latest data file on monthly global RSS temperature anomaly data based for the lower troposphere.   The trend chart shows monthly and annual anomalies since 1979. RSS Temperature Anomalies – Lower troposphere I’ve discussed RSS temperature anomalies in this earlier post. Here’s Remote Sensing Systems (RSS)  global

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RClimate Script: Sea Surface Temperature (SST) Anomaly Trends

February 1, 2010
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RClimate Script: Sea Surface Temperature (SST) Anomaly Trends

This RClimate Script lets users retrieve and plot the National Climatic Data Center’s monthly Sea Surface Temperature (SST) Anomaly dat series .  Links to the NCDC data file and my RClimate script are included. Users can run my script with a simple R source() statement. NCDC  SST Anomaly I’ve discussed the Hadley SST anomaly trends

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RClimate Script: NINO 3.4 SST Anomaly Trends

January 28, 2010
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RClimate Script: NINO 3.4 SST Anomaly Trends

This RClimate Script lets users retrieve and plot the weekly NOAA NINO 3.4 SST  anomaly data for 1990 to the most recent value.  Links to the NOAA data file and my RClimate script are included. Users can run my script with a simple R source() statement. NINO 3.4 SST Anomaly I’ve discussed ENSO and NINO

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RClimate Script: Polar Amplification – 2000 to 2009

January 27, 2010
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RClimate Script: Polar Amplification – 2000 to 2009

This RClimate Script lets users retrieve and plot the NASA GISS temperature anomaly data for 2000 to 2009 by latitude zone during the past decade. A link is provided to the NASA GISS data generation query page as well as links to my saved file of the GISS data and my RClimate script that users

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RCimate Script: Recent Total Solar Irradiance (TSI) Trends

January 21, 2010
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RCimate Script: Recent Total Solar Irradiance (TSI) Trends

This RClimate Script lets users retrieve and plot the latest data file on daily total solar irradiance (TSI) data from NASA’s  Solar Radiation and Climate Experiment (SORCE) Mission. The trend trend chart shows daily values from 2/25/03 to about one week before when the R script is run. Recent TSI Trends Here’s the 1/21/10 plot of

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RClimate Script: CO2 Trends

January 20, 2010
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RClimate Script: CO2 Trends

This RClimate Script lets users retrieve the latest data file on monthly Mauna Loa  CO2 levels and generate a trend chart with the latest reading highlighted. CO2 Trends – Keeling Curve Here’s the Mauna Loa Observatory CO2 trend from 1958 to Dec., 2009. Here are the data and RClimate Script links: Data Link RClimate Script link Posted in

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RClimate Script Introduction

January 10, 2010
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RClimate Script Introduction

Would you like to be able to generate a GISS temperature anomaly trend chart on your PC with just 1 line of R script? What about downloading the R script to your PC so that you can edit the script to fit your needs? In this post I present my first RClimate Script so that users

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Arctic Sea Ice Extent Trends With R

January 1, 2010
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Arctic Sea Ice Extent Trends With R

This post shows how to retrieve on-line Arctic Sea Ice Extent data from the National Snow and Ice Data Center (NSIDC), consolidate the data files, generate a csv file, summarize and plot the data and post it as a Google Docs so that interested readers can download and analyze this data series themselves. Links to

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