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WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42).WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42). WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42). WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOODFORTREES.ORGLEARN MORE We would like to show you a description here but the site won’tallow us.
WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42).WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOODFORTREES.ORGLEARN MORE We would like to show you a description here but the site won’tallow us.
WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42).WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42). WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITS Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: EXAMPLES Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42). WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITSCUT TREES FOR WOODCUTTING TREES FOR FIREWOODFAST GROWING TREES FOR FIREWOODWOODEN TREE STAKES FOR SALE Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: EXAMPLESDARK WOOD SAMPLEEXOTIC WOOD SAMPLES FOR WOODWORKERSWOOD SAMPLE BOOKWOOD SAMPLES FREE Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42). WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- # WOOD FOR TREES: HOMEABOUTINTERACTIVENOTESEXAMPLESSOFTWARECREDITSCUT TREES FOR WOODCUTTING TREES FOR FIREWOODFAST GROWING TREES FOR FIREWOODWOODEN TREE STAKES FOR SALE Seeing the Wood for Trees. Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.. Climate data. These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. WOOD FOR TREES: EXAMPLESDARK WOOD SAMPLEEXOTIC WOOD SAMPLES FOR WOODWORKERSWOOD SAMPLE BOOKWOOD SAMPLES FREE Also, the time range and values cover the maximum of any series, so get any detail you may have to ensure they cover the same range. Here are some examples: All four main temperature series for the last decade. Short-term cycles in temperature compared with CO 2. Comparison of Fourier analysis of temperature and sun-spot number. WOOD FOR TREES: NOTESSEE MORE ON WOODFORTREES.ORG WOOD FOR TREES: SOFTWARE The analyse time series tool. The analyse tool (yes, folks, that's the British spelling!) is a (fairly) simple C++ program that can read a variety of time-series data formats and perform various processes on it, before outputting it to a format suitable for plotting - in particular, with gnuplot.. It's this tool which powers the interactive graph generator on this site; but feel free to make WOOD FOR TREES: HELP 1: Data selection. These are the easiest, and just select the time window you want to graph. If you want to select exact months, you have to use the decimal year, so June 1944 is 1944.42 (June = month 6, counting from 1; month 5 counting from zero; 5/12 = 0.42). WOOD FOR TREES: CREDITS Sea Ice Index. Boulder, Colorado USA: National Snow and Ice Data Center. Note: WoodForTrees processes the monthly estimated total coverage data (not the raw area) at the above URL, combining them into a continuous monthly series and linearly interpolating the missingvalues at
WOODFORTREES.ORG
#Data processed by www.woodfortrees.org #Please check original source for first-hand data and information: # #---------------------------------------------------- #About
Interactive
Notes
Examples
Software
Credits
Help
SEEING THE WOOD FOR TREES Welcome to WoodForTrees.org. This site hosts some C++ software tools for analysis and graphing of time series data, and an interactive graph generator where you can play with different ways of analysing data.CLIMATE DATA
These tools could in theory be used for any time series but the main rationale for their existence is for analysis of historical climate data. The idea is to allow _you_ to go to the source data and look for answers to questions like: * Has the Earth got warmer recently? * Is it still getting warmer? * Is CO2 the only explanation for what has happened? * Are there solar cycles involved? * Are there other influences we don't understand yet? * If so, how much do they account for? * What is likely to happen next? It's not the place of this Web site (or anyone else) to tell you the answers, even if I could! This is just a tool to help you dig into the data to help you form your own opinions. Whatever you decide the most important thing is that you learned what the issues in analysis are and how to test your ideas against real data.BEWARE SHARP TOOLS
However, with sharp tools comes great responsibility... Please read the notes on things to beware of - and in particular on the problems with short, cherry-picked trends . Remember that the signals we are dealing with are _very, very_ noisy, and it's easy to get misled - or worse still, to mislead others.ABOUT THIS SITE
This website is a self-funded personal project by Paul Clark, a British software developer and practically-oriented environmentalist and conservationist. You can provide support through my Charity TipJar if you like.
PERSONAL NOTE:
I started this site in 2008 because I wanted to dig underneath what seemed like extreme claims and counter-claims in the "Global Warming Debate". Ten years on, it now seems clear to me that CO2 is indeed the primary driver of global warming, which is proceeding at roughly 1.5°C per century , but with some interesting short and long-term cycles overlaid. These cycles can produce shorter-term periods of both flatline and rapid increase, which get both 'sides'over-excited.
However, please remember this is only historical data, and "past performance is not necessarily a guide to the future". Climate models which do predict the future take into account positive and negative feedbacks such as water vapour, clouds, albedo and frozen methane, and to my mind the most (only?) interesting discussion in this field is around the sign and magnitude of those feedbacks. What this site can do is act as a check on those models and illustrate how the climate system has reacted to past forcings. As I said back in 2008, as a life-long Green I think a shift to a efficient and sustainable way of life is a Good Thing in any case, and I'd invite my fellow engineers to use their energies to help solve our many inefficiencies.Best wishes
Paul
HOW YOU CAN HELP
I welcome constructive suggestions of new algorithms or datasets I could add, and in particular help from experts if I've got any of the maths badly wrong (which is quite possible). Mail me at 'paul' at this domain. _Flames will be silentlyextinguished_.
A SIDEWAYS MOVE INTO EPIDEMIOLOGY? ADDING COVID-19 DAILY DATA18th March 2020:
I thought it might be useful to use WoodForTree's existing tools to analyse Coronavirus cases. I'm importing the CSSE daily data from their githuband selecting for
countries. It's a work in progress, but it does allow you to do things like this: Log derivative of Covid-19 cases in Europe.
Please feel free to suggest any other data sources or treatments that would be interesting to add. TEN YEARS - AND A MOVE! WFT'S 10TH BIRTHDAY AND A NEW HOME6th March 2018:
I started WoodForTrees in early 2008 to explore climate data myself, and a few people have found it interesting and useful since, despite a lot of mis-use of trends! . In celebration - and because the old server is too knackered and expensive - WFT has moved to a new server... Please report any weirdness!SPRING CLEANING
FIXING LOTS OF OUT-OF-DATE DATA30th October 2017:
I've had a general spring (autumn?) clean of a number of datasets which had got out of date because their sources had moved, including UAH , Hadcrut4 , GISTEMP , RSS , SIDC-SSN and NSIDC Artic Sea Ice . Thanks to the folks who have pointed out problems!UAH 6.0BETA
NOW SUPPORTING UAH6.0BETA29th August 2016:
I have now added UAH6.0Beta alongside the previous UAH5.6 release, so they can be compared . WTI is still using UAH5.6 until UAH6.0 is fully released.CHARITY TIP JAR
CHARITY TIP JAR FOR THE WOODLAND TRUST1st January 2012:
A number of people have kindly suggested I provide a 'tip jar' as a reward for keeping WFT running, but I've always been uncomfortable with taking any payment myself because it's crucial that WFT is seen as independent of any agenda-driven funding. However, I've decided to open a Charity 'tip jar' in favour of the British Woodland Trust . Please visit JustGiving.com/WFT if you find WFT useful and would like to provide encouragement.Many thanks,
Paul
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