IEM "Climodat" Reports

These "Climodat" reports provide some answers to the most common climatological questions we get routinely asked. Here are some important notes about the products presented on this page.

  1. These reports are based on the daily climate observations from the NWS COOP network. Some quality control is done and estimating is done to create a complete time series without missing data. You can download the daily data.
  2. We also provide "kitchen sink" data files which contain the much of the raw information used to generate the reports.
  3. There is a station monitor app that allows you to see current summarized statistics for a station collection of your choice.
  4. For the Iowa data, the Iowa State Climatologist provides the IEM with a monthly update of quality controlled observational data. This procedure takes a good deal of time on his behalf. Quality controlled information exists from 1 Jan 1951 till 01 Jan 2018. Any months of data afterwards are based on preliminary data from NCDC and other sources.
  5. Some sites have data back to 1893, so their reports contain data dating back to then.
  6. This Automated Data Plotting application on this website contains charts and downloadable datasets that may interest you.
  7. Update 27 Oct 2015: The plain text reports are dynamically generated on this page and no longer directly available for bulk download. The format of the generated Excel files is somewhat different now as well. If this causes you heartburn, please do let us know!

Data is available from the following states: Illinois , Indiana , Iowa , Kansas, Kentucky , Michigan , Minnesota , Missouri , Nebraska , Ohio , North Dakota , South Dakota , Wisconsin.

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Download This Report Download This Report as Excel View This Report in Autoplot App

# IEM Climodat https://mesonet.agron.iastate.edu/climodat/
# Report Generated: 21 Jul 2018
# Climate Record: 1893-01-01 -> 2018-07-21
# Site Information: [IA0200] AMES-8-WSW
# Contact Information: Daryl Herzmann akrherz@iastate.edu 515.294.5978
# Low Temperature exceedence probabilities
# (On a certain date, what is the chance a temperature below a certain
# threshold would have been observed once already during the fall of that year)
 DOY Date    <33  <29  <27  <23
 210 Jul 28    0    0    0    0
 212 Jul 30    0    0    0    0
 214 Aug 01    0    0    0    0
 216 Aug 03    0    0    0    0
 218 Aug 05    0    0    0    0
 220 Aug 07    0    0    0    0
 222 Aug 09    0    0    0    0
 224 Aug 11    0    0    0    0
 226 Aug 13    0    0    0    0
 228 Aug 15    0    0    0    0
 230 Aug 17    0    0    0    0
 232 Aug 19    0    0    0    0
 234 Aug 21    0    0    0    0
 236 Aug 23    0    0    0    0
 238 Aug 25    0    0    0    0
 240 Aug 27    0    0    0    0
 242 Aug 29    0    0    0    0
 244 Aug 31    0    0    0    0
 246 Sep 02    0    0    0    0
 248 Sep 04    0    0    0    0
 250 Sep 06    0    0    0    0
 252 Sep 08    0    0    0    0
 254 Sep 10    0    0    0    0
 256 Sep 12    0    0    0    0
 258 Sep 14    0    0    0    0
 260 Sep 16    1    0    0    0
 262 Sep 18    4    0    0    0
 264 Sep 20    7    0    0    0
 266 Sep 22   11    1    1    0
 268 Sep 24   14    3    1    0
 270 Sep 26   19    4    1    0
 272 Sep 28   26    4    4    0
 274 Sep 30   36    8    4    1
 276 Oct 02   39   11    4    1
 278 Oct 04   48   14    5    1
 280 Oct 06   59   20    8    2
 282 Oct 08   62   23   14    4
 284 Oct 10   68   29   19    6
 286 Oct 12   72   37   25    9
 288 Oct 14   76   41   29   11
 290 Oct 16   78   46   32   11
 292 Oct 18   82   51   37   13
 294 Oct 20   85   56   41   19
 296 Oct 22   89   62   45   21
 298 Oct 24   92   72   54   23
 300 Oct 26   93   77   60   29
 302 Oct 28   96   83   67   36
 304 Oct 30   96   87   72   44
 306 Nov 01   97   88   74   48
 308 Nov 03   98   91   80   57
 310 Nov 05   99   94   86   64
 312 Nov 07  100   96   92   68
 314 Nov 09  100   97   94   74
 316 Nov 11  100   97   95   80
 318 Nov 13  100   99   96   84
 320 Nov 15  100   99   98   88
 322 Nov 17  100   99   98   90
 324 Nov 19  100  100   99   93
 326 Nov 21  100  100  100   95
 328 Nov 23  100  100  100   97
 330 Nov 25  100  100  100   99
 332 Nov 27  100  100  100   99
 334 Nov 29  100  100  100   99
 336 Dec 01  100  100  100   99
 338 Dec 03  100  100  100  100
 340 Dec 05  100  100  100  100
 342 Dec 07  100  100  100  100
 344 Dec 09  100  100  100  100
 346 Dec 11  100  100  100  100
 348 Dec 13  100  100  100  100
 350 Dec 15  100  100  100  100
 352 Dec 17  100  100  100  100
 354 Dec 19  100  100  100  100
 356 Dec 21  100  100  100  100
 358 Dec 23  100  100  100  100
 360 Dec 25  100  100  100  100
 362 Dec 27  100  100  100  100
 364 Dec 29  100  100  100  100
 366 Dec 31  100  100  100  100