Latest Ice and Temperature data

Latest Sea Ice and Global Temperature contents:


Introduction
Monthly Global temperature indices
Table: Latest Global Anomaly data
Report: Latest Monthly TempLS Report (mesh weighted)
Graph: Global Temperature indices - last five months
Graph: Global Temperature indices - last four years
Active Graph: Global Temperature indices - Also backtrends. Many user choices.
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. An archive of this data, by month back to Dec 2016, is indexed here.


Here is the latest report from TempLS mesh 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)
Major temperature indices - last 5 months
Major temperature indices - last 4 years



Here is an active plotter for global temperature indices, set to a common anomaly base of 1981-2010. You can vary the selection of plot data with the checkboxes. The legend is active; you can choose to draw linear regression lines, or to smooth the curves. You can also choose a new color by clicking on the color square next to the name. You can drag, stretch etc the plot - details are in this post. 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. All the same plotting facilities are there, except for regress.


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 this year's 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:

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.


 

33 comments:

  1. Hi Nick,
    The 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..?

    ReplyDelete
    Replies
    1. Olof,
      No, 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.

      Delete
  2. 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."
    But 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

    ReplyDelete
    Replies
    1. "But is this really correct?"
      The 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.

      Delete
    2. 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

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  3. I 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.

    2016/12/24 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

    ReplyDelete
    Replies
    1. 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?

      Walter Dnes

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    2. The new working RSS URL is...

      http://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

      Delete
    3. Walter,
      Thanks, 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).

      Delete
  4. No updates for January? My data shows...

    2017/01/01 +0.675
    2017/01/02 +0.674
    2017/01/03 +0.622

    Average for January 2017 so far +0.657

    Walter Dnes

    ReplyDelete
    Replies
    1. Thanks, Walter
      Yes, 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.

      Delete
    2. Thanks Walter. The anomalies you refer to- are those based on a 1979-2000 reference period?
      best regards OleKlemsdal, Oslo.

      Delete
    3. The anomaly base period is the same 20-year period, 1994-2013, that Nick Stokes uses.

      Walter Dnes

      Delete
    4. OK, Thanks. OleKlemsdal

      Delete
  5. Nick, 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.

    ReplyDelete
    Replies
    1. Dave,
      Yes, 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.

      Delete
  6. Where are the latest NCEP/NCAR numbers?

    ReplyDelete
    Replies
    1. Too big to fit on the information superhighway.

      Delete
    2. Well, it is still warm. Fixed, thanks for warning.

      Delete
    3. Thank you, Nick.

      (Yes, it is still warm!)

      Delete
  7. Doesn't seem to be updating daily Nick?

    ReplyDelete
    Replies
    1. NCEP/NCAR I mean :-)

      Delete
    2. Dave,
      Not 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.

      Delete
    3. Nick, you've created a bunch of addicts.

      Delete
    4. Totally 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....

      Delete
  8. Hi Nick,
    I 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

    ReplyDelete
    Replies
    1. Olof,
      Thanks. You are right - I was using land only. Fixed.

      Delete
    2. Nick,
      Still wrong source file, I think it is TTT v3.3 land/ocean now.
      Third time's a charm.... :-)

      Delete
    3. Third time? I hope so. There can't be too many more files to get wrong. I hope it's fixed this time.

      Delete
  9. Nick:

    It 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

    ReplyDelete
    Replies
    1. Thanks, Walter,
      Yesterday, it didn't have a May 1 number at all. I'll put in a filter for numbers out of range.

      Delete
  10. Hi there,

    Is it possible to get temperature anomalies on countries level?

    ReplyDelete
    Replies
    1. 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.

      Delete