Latest Sea Ice and Global Temperature contents:
Introduction | |
Monthly Global temperature indices | |
Table: | Latest Global Anomaly data |
Report: | Latest Monthly TempLS Report (mesh weighted) |
Graphs: | Global Temperature indices - graphs of recent months |
Active Graph: | Global Temperature indices - Also backtrends. Many user choices. |
Table: | Months ordered in descending surface temperature anomaly |
Table: | Graphics about highest month and year temperatures |
Daily Reanalysis Temperatures | |
Table: | Recent days NCEP/NCAR reanalysis surface global average anomaly temperature |
Active WebGL map: | Recent days NCEP/NCAR reanalysis surface global average anomaly temperature |
Active map and plot: | Recent days NCEP/NCAR reanalysis regional Arctic temperatures |
NH and SH Sea Ice data | |
Table: | Latest Sea Ice Extent - JAXA, NSIDC NH, NSIDC SH |
Active graph: | Latest Sea Ice Extent - JAXA, NSIDC NH, NSIDC SH |
Miscellaneous | |
Table: | Log of recently downloaded data files |
This automatically updated page has an embedded html window in which the numbers will appear. I check for data hourly. There is a log (bottom) which shows when data arrives, and also gives latest links.
Temperatures anomalies in the tables are as stated by the providers, with different anomaly bases. They have been converted to the same base (1981-2010) for plotting. The active plot has this common anomaly base
Sources and glossary:
Monthly global temperature anomaly data
Here is the latest global anomaly temperature data, as supplied by the sources, with their varying base periods. An archive of this data, by month back to Dec 2016, is indexed here.Here is the latest report from TempLS FEM weighted version. A reference on the Moyhu global temperature index (least squares) is here, with links to earlier posts. There is a Moyhu post each month on about 7th based on this report.
Here are some plots of temperature indices in recent times, set to a common anomaly base (1981-2010). Use buttons below the image to cycle through longer periods.
Here is an active plotter for global temperature indices, starting with to a common anomaly base of 1981-2010. Details of its operations are in a post here. You can vary the selection of plot data with the checkboxes. The legend bottom left is moveable, and intended to be placed on the plot for screen capture and image editing. Dragging in the plot area just translates the plots, but dragging below the x-axis stretches x, and similarly for y.
The plot also allows you to switch (toggle button "Trendback") to a mode which shows on the y-axis not the anomaly, but the trend from the x-axis time to the most recent data. In this mode you can't regress or smooth, and anomaly has no effect.
Table of months in descending order of temperature
Next is a table of monthly anomalies from various sources, listed (with annual) in descending order of temperature. The warmest 10 are shown. Each temperature is preceded by its year (last two digits).Graphics showing warmest recent months and years
In this set of active plots, you can see up to date versions of plots of average global T anomaly of months and years in order of warmth. The first is a stacked plot of months, with whole year at the end. This gives a bar for ech month, colored according to year, but stacked by month, in some order. The first lays down warmest first, then next and so on. Each month is visible (unless there is a tie). The second lays them in time order, most recent first. Then the bars you see are only those which were a record in their time, and shows how the rcords built up.The third is a progress of annual records. It is really just a bar plot of annual averages, but coored to mark which periods followed a record year before the record was broken.
The arrow buttons below each plot allow you to cycle through a number of data providers, including HADCRUT, GISS, NOAA, UAH,RSS and TempLS.
Daily Reanalysis Temperature data
Here is the latest NCEP/NCAR reanalysis (see post) surface temperature (°C) anomaly area-weighted average for recent months, and for days of the current month. The anomaly base years 1994-2013. You can find here an updated zip file of the daily and monthly values since 1994, with a readme file.Here is a WebGL active map of recent daily temperature anomalies. It has the usual trackball facilities. To get a specific day, let the mouse hover over the colored squares on the right; each square is a day, and the text top right tells you where you are. Click when you have the day that you want. The black squares at the top will give you a month average map. Details are at this post.
Update I have added buttons above the date selector which allow flipping through consecutive days to make a kind of movie.
Here is a tool for looking at daily Arctic temperatures. It is described in a post here. There is a lat/lon rectangle that you can manoeuver, and then press the "plot new" button to see a plot for that region of daily average temperatures (not anomalies), along with the 1994-2013 average. The domain is initially set to the region N of 80°.
NH and SH Sea Ice data
Here is the latest Arctic sea ice extent data. You can choose from JAXA Arctic Ice Extent, or from NSIDC NH or SH. Note that JAXA is currently not being updated, but the NSIDC are:
Here is an active polar plot of the Jaxa Ice extent data. Units are million sq km. You can click on the current region circle to get a magnification, or on any sector to see that part expanded. Clicking on the legend marks the year in dark; clicking on the central picture makes it go away. Details here.
Miscellaneous
And here is a log of the most recent data files to be posted. The links show the URL that was actually downloaded. The date on the left is the time marked on the file at origin, and the delay is the difference between that and the time of download and processing here. Sometimes that includes a delay between the date marked and when it became visible. NCEP/NCAR, for example, seems to have a six hour delay between the date marked and when it becomes available for download.
Hi Nick,
ReplyDeleteThe NSIDC graphs for 2015 (both NH and SH) are missing, and the tabular values for 2015 are all "NA".
Is this a result of the satellite problems that NSIDC had earlier this year, or..?
Olof,
DeleteNo, it's a fault at my end. NSIDC produces annual files, so I keep an amalgamated copy of the old ones and merge that with the new one, now 2016. Somehow 2015 is falling through the cracks. I'll fix it.
Regarding the NCEP values, you state: "Here is the latest NCEP/NCAR reanalysis (see post) surface temperature (°C) anomaly area-weighted average for recent months, and for days of the current month. The anomaly base years 1994-2013."
ReplyDeleteBut is this really correct? On Climate Reanalyzer homepage it is stated "Temperature refers to air temperature at 2 meters above the surface. The temperature anomaly is made in reference to a 1979-2000 climatology derived from the reanalysis of the NCEP Climate Forecast System (CFSR/CFSV2) model. This climate baseline is used instead of the 1981-2010 climate normal because it spans a period prior to significant warming of the Arctic beyond historically-observed values. For context, see this timeseries plot showing how various climate baselines compare against the NASA GISS 1880-2014 global land-ocean temperature index." Or are these completely different data?
As far as I can see, your values are not systematically lower than the data given on CR, in contrast to this page, where a 1981-2010 reference period is used: https://oz4caster.wordpress.com/cfsr/
Best regards, Ole Klemsdal, Oslo, Norway
"But is this really correct?"
DeleteThe data supplied is as simple temperature. Users like CCI (and Moyhu) have to make their own anomalies. I make an average of 1994-2013 from that data and subtract it. Climare Reanalyzer uses different years. My reason for choosing that unusual period is that it corresponds to be period of best data in NCEP/NCAR. They started assimilating data in real time in about 1994; before that they get what they can, but there are gaps and an obvious decline in quality.
OK, thanks a lot for rapid response and explanation!. I still don't understand how you when using a 1994-2013 reference can end up with figures that are very similar to anomalies based on the 1979-2000 reference period? These anomalies should normally differ by some 0,12 C, according to the figure that is referred to on Climate reanalyser home page http://cci-reanalyzer.org/DailySummary/GISS_land+ocean_1880-2014.png
DeleteI notice that the NCEP/NCAR numbers haven't updated for a few days. Here's what I have at home for the last while, on my own version. Note that it goes in ascending date order.
ReplyDelete2016/12/24 0.390
2016/12/25 0.365
2016/12/26 0.339
2016/12/27 0.444
2016/12/28 0.552
2016/12/29 0.565
2016/12/30 0.613
2016/12/31 0.617
For the month +0.392
Walter Dnes
A possible cause. Last time you had a problem, an unexpected change in the UAH download propagated to the NCEP/NCAR data script. I noticed today that trying to download RSS data now gets a dialogue asking for a login and password. Could that be throwing your scripts for a loop?
DeleteWalter Dnes
The new working RSS URL is...
Deletehttp://data.remss.com/msu/monthly_time_series/RSS_Monthly_MSU_AMSU_Channel_TLT_Anomalies_Land_and_Ocean_v03_3.txt
Note the uppercase/lowercase. I wonder if they've switched to a unix/linux/bsd server where case is important.
Walter Dnes
Walter,
DeleteThanks, I've fixed it now. The problem was on coming to the end of a leap year, when some vectors have to have length 366. I was setting the dimension according to current year (2017).
No updates for January? My data shows...
ReplyDelete2017/01/01 +0.675
2017/01/02 +0.674
2017/01/03 +0.622
Average for January 2017 so far +0.657
Walter Dnes
Thanks, Walter
DeleteYes, I'd left in a part of the end leap year fix that should have come out. Fixed now, I think, and in perfect agreement with yours.
Thanks Walter. The anomalies you refer to- are those based on a 1979-2000 reference period?
Deletebest regards OleKlemsdal, Oslo.
The anomaly base period is the same 20-year period, 1994-2013, that Nick Stokes uses.
DeleteWalter Dnes
OK, Thanks. OleKlemsdal
DeleteNick, would you consider adding the RSS TTT (V4.0) dataset to your active plotter? I'm getting tired of pointing out to people that the current RSS TLT dataset is (by admission of the authors/maintainers of it) erroneous due to drift issues, but since RSS have still not updated it, the TTT is probably the best data they provide. Its also interesting to note that in revising UAH to version 6.0, one of the changes was to alter the atmospheric weighting profile so that is is now quite close to RSS TTT.
ReplyDeleteDave,
DeleteYes, I'll do that. I expect that data for V3.3 will soon dry up anyway. RSS have just announced the requirement to register before accessing data. I'm not sure what the effect o that will be.
Where are the latest NCEP/NCAR numbers?
ReplyDeleteToo big to fit on the information superhighway.
DeleteWell, it is still warm. Fixed, thanks for warning.
DeleteThank you, Nick.
Delete(Yes, it is still warm!)
Doesn't seem to be updating daily Nick?
ReplyDeleteNCEP/NCAR I mean :-)
DeleteDave,
DeleteNot my program, it seems, this time. The NCEP/NCAR directory is here. File is air.sig995.2017.nc, last updated there 20 Feb. It happens sometimes, usually only a few days.
Nick, you've created a bunch of addicts.
DeleteTotally addicted to real facts. Speaking of which, Roy Spencer has a link on his blog to their new paper on UAH 6: Published in a fairly new Korean journal... I'm a little surprised to see no citation within it to RSS 4.0. I find that a little odd, considering both purport to address similar issues with their respective deprecated data sets....
DeleteHi Nick,
ReplyDeleteI believe you have the wrong source for RSS TTT v4. The values are too high, and I suspect they are land only.
I have not (yet) got a personal login to RSS ftp, but the open data via the time series trend browse tool are different from the ones you post
http://data.remss.com/msu/graphics/TTT_v40/time_series/RSS_TS_channel_TTT_Global_Land_And_Sea_v04_0.txt
Olof,
DeleteThanks. You are right - I was using land only. Fixed.
Nick,
DeleteStill wrong source file, I think it is TTT v3.3 land/ocean now.
Third time's a charm.... :-)
Third time? I hope so. There can't be too many more files to get wrong. I hope it's fixed this time.
DeleteNick:
ReplyDeleteIt looks like May 1st data is missing in the NCEP/NCAR reanalysis netcdf file. My script does a dump to an intermediate text file, for further processing. The first and last entries for May 1st are...
time[120]=9.96920996839e+36 lat[0]=90 lon[0]=0 air[1261440]=9.96921e+36
time[120]=9.96920996839e+36 lat[72]=-90 lon[143]=357.5 air[1271951]=9.96921e+36
May 1st is Julian day 121, but netcdf is zero-based, i.e. January 1st is day 0, not day 1. I also get +0.271 for May 2nd, so that appears to work. Today I deleted all lines with "time[120]=9.96920996839e+36" with a text editor. I'll have to add an additional check to automatically throw out lines containing the string "=9.9692".
Hopefully, this was a temporary glitch, and the missing data will be inserted soon.
Walter Dnes
Thanks, Walter,
DeleteYesterday, it didn't have a May 1 number at all. I'll put in a filter for numbers out of range.
Hi there,
ReplyDeleteIs it possible to get temperature anomalies on countries level?
I take it you mean country average anomalies. I used to try to do that, eg here. The problem is that you really just have some number of stations in and near, and it is hard to add up their effect observing the boundaries. It's easy enough just to average the stations, and for small countries, it isn't even that important to have area weighting. Now I prefer to stick to near-continent scale, as with the breakdown in the TempLS report above.
DeleteI have received your email regarding the GISS anomaly for September. I haven't payed attention to these maps in recent times, and note that the 'cold blob' that was near Greenland in 2015 seems not to be there any more. Could you tell me when this vanished, and whether it was anomalous or a regularly returning feature.
ReplyDeleteDo you mean the region south of Greenland in the Atlantic? Yes, there was a cool spot for quite a while, not currently appearing. I don't think it was an artefact. There is a movie here which shows SST in the Arctic (but has N Atlantic too) which shows how it comes and goes.
Delete"...
ReplyDelete- Click on the legend; the history of that year will show in a dark color
- Click on the picture to make it go away
..."
Does not work for 2016 in any of the three polar plots
Thanks, should be fixed now
DeleteNow it works for JAXA data, but not for NISDC NH and NISDC SH
DeleteErik,
DeleteI think NH is OK now - I'll try to get SH fixed tomorrow.
Looks like your NSIDC charts have stopped working around 19 October? JAXA still OK though.
ReplyDeleteThanks. I think the NSIDC source is down. There is a log at the bottom of the post which says that it isn't getting data, and clicking on the URL gives an error. I'll investigate.
DeleteThanks again. It seems there is a new version with a new URL. Hopefully will be OK soon.
DeleteNSIDC is fixed. Meanwhile, Jaxa went off the air. I hope it will be back soon. Normally it doesn't matter; it just shows the last data until it next comes on, but this time I overwrote the old data. Should be OK within 24 hrs.
DeleteCould I make a suggestion, Nick? In your graph of temperature anomalies over the maximum length of time, could you please use more distinct, contrasting colors for the six different indices? Those reds are hard to tell apart, as are the two pea greens. The two graphs above that particular one are much easier to read. Thanks.
ReplyDeleteI take it you mean the 4-year graph. I currently use equally spaced colors from a rainbow scale, which probably isn't ideal. I'll experiment.
DeleteNo, I mean the active plotter for global temperature indices.
DeleteI see. The colors as they originally show are rather earthy, and I could fix that. But generally here the remedy is that you can choose your own. Just click a color square in the box lower left. A set of choices will popup; choose one. Because there are so many choices, I can't usefully pre-determine the colors.
DeleteYou will not get any more values from NOAA for your "Monthly global temperature anomaly data" table if you continue to monitor their 1880-2017.csv file. You have to switch to the 1880-2018.csv file. NOAA reported their January temperature anomaly long time ago but your table got stock in December.
ReplyDeleteThanks Erik
DeleteFixed, now, I hope
Superb job done here, thank You! Please consider adding ISTI dataset into your plot graphs: Noaa Global Databank Monthly Stage3 Recommended
ReplyDelete...and for information on ISTI (The study, open access): The international surface temperature initiative global land surface databank: monthly temperature data release description and methods
DeleteThanks, Simo,
DeleteI wote quite a lot about ISTI when it first came out in beta in 2012. This was the last in that series; I should do more. I also wrote about GHCN V4, and again, I'm sure there will be more. There are more posts listed if you press the right buttons on the Moyhu index page.
The main reason I stick with GHCN V3 for now for TempLS is its prompt reporting, updating almost every day early in the month. ISTI would give better coverage in areas that are already fairly well covered by V3, but does not add a great deal where coverage is sparse. I looked at the coverage comparison of GHCN V4 here.
Thanks for the links Nick, I pretty much agree after some reading, and noticing the use of Jones&Moberg(2003) in the ISTI-study you might actually have even closer to reality data in use. Keep up the great work you're doing!
DeleteNick, something is wrong with TempLSmesh. Data and maps look distorted. It has been like this for a week, or so..
ReplyDeleteOlof,
DeleteI think I have messed up the spherical harmonics (which I have been tinkering with). It shouldn't affect the numerical results. Anyway, I'll investigate. The stations plot isn't showing either, for some reason.
Thanks for pointing it out
Olof,
DeleteI see the results are wrong too, so it isn't the SH. I'll check more tomorrow
I think it is fixed now
DeleteAccess denied errors in the fresh data import
ReplyDeleteWhy are the GISS figures presented in the "Monthly global anomaly data" table above so different from the figures presented on the GISS website?
ReplyDeleteCan you quote an example? There are small differences between the GISS tabulated numbers and the numbers shown on the GISS plots, for example, July 2019, the map showed 0.92, the table 0.93. I copy from the table, here.
DeleteThe November TempLSmesh temperature anomaly in the table (+0.14) is not consistent with the value in the graph (-0.28). (They both appear to be unphysical low)
ReplyDeleteWondering why I got an email notification for this comment on May 24 ... almost 6 months after the event.
DeleteHi Bob,
DeleteMishaps at my end, sorry about that. I've been getting intermittent blizzards of spam; there is one at the moment, and there was another at the time of your comment six months ago. When it gets too bad, I send all comments to moderation, and try to keep up. I missed this comment in the moderation queue initially, but in the recent outbreak, I was going through the queue and found it, and published it.
Dec 19 temps now charging toward an all time high. This going to take some serious 'splainin' on the denier blogs. The 2016 EN excuse is getting a bit smelly, but I guess it will have to be ladled out at least one more time...it's all they've got left.
ReplyDeleteExcellent and informative data helps me to move forward with my research work.
ReplyDeleteThanks a lot for the post and the pictorial graph.
Keep up the good work.
Let's hope for the best.
Say, great work!
ReplyDeleteGiven the Recent month of December's low temperature anomalies vs Dec 2016 (0.152 vs 0.391 respectively), what is your best prediction on how NASA's official anomaly will be for December?
If greater than .61 it should beat the record set in 2020 (index of 1.01) for warmest year, given Nasa's rounding to the hundredth's spot).
Welcome everyone's thoughts.
Good question, CC. December was quite cool. I see the betting odds have dropped to about 70%. I think that should be lower. It will be a near thing.
DeleteHi Nick,
ReplyDeleteI see your globe has not been updated since January 15, and some dates earlier in January are also missing values. Do you intend fixing this?
Thanks for noting. I had to revamp the NCEP programs because of end year troubles, so that is the likely cause. Yes, I'll fix it.
DeleteThanks Nick. I notice you have updated it, but it is now displaying nonsense anomalies since Jan 15 .... 8, 9 or 10 instead of zero point something.
DeleteYour map is still broken. It is currently showing February 31, so even the dates are wrong. And the global average is 24 instead of zero point something.
DeleteFeb 31st? Daily reanalysis temperature should be 28th maybe?
ReplyDeleteYes, for some reason it has renamed 28th as 31st; that is an error in the filename, which I will track down. Other dates should be OK.
DeleteI've checked on the dates. They were actually running one day behind, so 1 march was written as 31 Feb. It was an error caused by switching between one system counting from 0, and the other from 1. I think it should be corrected when the program runs again.
DeleteI'll chase up the incorrect average shown; I may just remove it, since I originally had it just so it could be checked against the text list to ensure the date was right.
1) NCEP/NCAR reanalysis appears to be still on holidays or stopped working after the last day of 2022.
ReplyDelete2) The previous zip file (1994-2015) of historical data you have is out of date (has data upto 31-12-2020). This could be updated sometime this year.
Thanks.
Yes, sorry about that. Moyhu has been a bit distracted lately, but should be OK now. The calendar dependence of the NCAR process is such that it has never made a fully automatic start to the new year. Hoping for it to work next year.
DeleteHi Bob,
DeleteSorry about the moderation. I'm not sure why the file terminated - I hope I can update it. And yes, I'll check the March 28 story.
Thanks
Thanks Nick. I'll check back later. I hope you won't mind a reminder in a week's time if the changes have not been made.
DeleteIt seems the problem is in the NCEP/NCAR data for 3/28 at 1800 UTC. In my implementation using the Python netcdf4 reader, that data is flagged as invalid. I have also an implementation using the average daily data and that data set has 3/28 flagged as invalid as well.
DeleteIn my code, at least, I don't see a trivial fix because of implicit assumptions about no missing data. This was one of the nice features of the data set as per Nick noted in his original essay on the subject of using this data set to calculate daily anomalies.
A non-trivial fix to handle the error case will take longer . . .
Thanks. I've put in a fix for out-of-range data, which I think is the best that can be done.
Deletetygrus
DeleteI've updated the zip files - I hope that now they will update monthly
Your zip file for 'Daily Reanalysis Temperature data' is stated to be 'invalid'.
DeleteThanks, Bob
DeleteI'll look into it.
Hi Bob,
DeleteI've rerun the program, and the result seems OK. I hope it was just a one-off faulty upload, but let me know of any further trouble.
The Daily Reanalysis Temperature Data is jammed up, Nick.
ReplyDeleteTHanks, fixed I hope. I've been changing over computers
DeleteThe Daily Reanalysis Temperature Data is stuck again, Nick.
ReplyDeleteTHanks. I've checked; I think the source is stuck.
DeleteThe Reanalysis Temperature Data is stuck again, Nick.
ReplyDeleteThanks. The program is running correctly. I think the NCEP source is lagging.
DeleteNo, the source is OK, and the program ran on 15-11. But the data displayed hadn't been updated. I'll check.
DeleteFixed. My uploading connection had disconnected itself. Should be OK now.
ReplyDeleteGreat, Nick, thanks! And thanks for the great site. It is invaluable.
DeleteIt looks like the Reanalysis Temperature Data is lagging again, Nick.
ReplyDeleteThanks, anon. I think it is OK now.
DeleteThe Daily Reanalysis Temperature Data is showing up as an empty box, Nick.
ReplyDeleteThanks, Anon
DeleteFixed. I'm having intermittent troubles with the automatic upload facility which only seems to affect these files. Hope to get it finally sorted soon.
The Daily Reanalysis Data is lagging, Nick. Any particular reason?
ReplyDeleteHi Anon,
DeleteSorry about late reply - it's been a busy time here.
I think it is as near up to date as it gets. The last data came in less than 24 hrs ago.
Temporary issue with data access at the moment, permission error
ReplyDeleteWhich particular data access gives trouble?
DeleteIt's fixed now. But tried different browsers and IP's previously to troubleshoot, no difference. The data tables were definitely down and gave an access error. All good now tho, thanks.
DeleteHi Nick. Do you know UAH is reporting records, while the NCAR/NCEP is clearly trending downward as a normal El Niño would? Also, would you consider us back in older territory prior to the start of El Niño, or is there a bit longer to go until then? I read Dessler's Substack, and he said that sometimes it can take until August.
ReplyDeleteHi Anon,
DeleteThe preliminary TempLS for April now appears un the top table. It is very slightly less than March. So yes, there could be a way to go.
Nick, can you delete comments?
ReplyDeleteI can. I'm not sure about other authors.
DeleteI've made comments here under my real name. I was hoping you could delete them. Do I contact you privately or do I just link them here?
DeleteI'm on Twitter as nstokesvic. You can DM me.
ReplyDeleteApparently Musk changes DM permissions, fixed. Same user name on gmail.
DeleteCheck your DMs.
DeleteHi Nick - your Arctic sea ice data seems to have been stuck for more than a month.
ReplyDeleteThanks, Bob,
DeleteIt's only JAXA; the NSIDC data seems OK. I'll try to fix.
Bob,
DeleteIt seems the address I was using for automatic download of JAXA doesn't work any more. I'll keep looking, but I may not be able to update JAXA any more. There is still NSIDC.
Nick, The June update to the UAH stacked record graph appears to have put the June 2024 anomaly (+0.80) in the July column.
ReplyDeleteThanks, fixed. The problem was that Roy posts, but the table, which the system uses, is posted much later, so I am tempted to enter the value manually, which can go wrong.
DeleteI think your new data files are jammed, Nick. Probably a start-of-the-month issue.
ReplyDeleteDo you have a particular one in min? Jaxa ice is permanently jammed, because I can't access their data any more. But the other displayed data seem OK.
DeleteIt was the NCEP/NCAR reanalysis numbers, but the numbers for the last three days just showed up. Thanks!
ReplyDeleteHello Nick,
ReplyDeleteThank you for the amazing resource. Two questions:
1. Is there any place where you present the daily GHCN V4 data?
2. In the Daily Reanalysis Temperature data, it says "Last 12 months averages
See below for GISS,NOAA", I don't see where this data is.
Thank you for the amazing resource!
Thanks.
DeleteI can't post the daily data; there is just too much. But on this page (look for the radio button GHCN Daily) you can search for a site and it will download (from NOAA) that site's data.
https://moyhu.blogspot.com/p/blog-page_12.html
The "See below for GISS,NOAA" is wrong, and I'll remove it. I used to show that, but discontinued, since it is covered elsewhere. I forgot to remove the reference.
Thank you!
DeleteThere's something wrong with the sources and glossary table, Nick.
ReplyDeleteCould you be more specific, please. It seems OK to me.
DeleteI had to install Safari, for Windows, which I don't normally use. It made a lot of fuss about popups, but when I allowed all popups, it was OK (Moyhu doesn't use popps). I think the problem may be a new security setting for Safari. What you are seeing is a version of the underlying Javascript. It may be that your settings do not now allow JS to work.
DeleteCorrection - I get the same result with Safari as you do. I'll try to work diagnostics with Safari - but you could also try Chrome or Firefox.
DeleteI see that in Safari the whole page is messed up whenever Javascript is invokes. The last page says
Delete"Could not locate remote server".
The diagnostics give an error message with this expansion:
"For users on slow connections such as 2G, the performance penalty from third-party scripts loaded via document.write() is often so severe as to delay display of main page content for tens of seconds. This feature will block the load of cross-origin, parser-blocking scripts inserted via document.write() in case of an HTTP cache miss for users on a 2G connection. The feature will only be applicable to such scripts in the main frame."
That doesn't sound right - this is happening within iframes, and I don't think what I have could be called 2G. To further confuse the matter, this is a CHrome message.
Update!!! There does seem to be a general failure. I was seeing a cached version in Chrome which didn't see it. But I not see the same behaviour in Firefox. That makes it easier - I will investigate.
DeleteThanks for all your work on this problem, Nick!
DeleteAnd thanks for pointing it out. It's fixed now, I think. My R program which updates the table was sending bad info.
Delete