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. There is a station monitor app that allows you to see current summarized statistics for a station collection of your choice.
  3. The Automated Data Plotting application on this website contains charts and downloadable datasets that may interest you.

Data is available from the following states:

Select Climate Station:Select Report:

or Select from map

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

# IEM Climodat https://mesonet.agron.iastate.edu/climodat/
# Report Generated: 14 May 2026
# Climate Record: 1893-01-01 -> 2026-05-14
# Site Information: [IA0200] AMES-8-WSW
# Contact: Daryl Herzmann akrherz@iastate.edu 515.294.5978
# Low Temperature exceedence probabilities
# On a certain date, what is the observed frequency that a given
temperature threshold has been first observed by the given date.
 DOY Date    <=32  <=28  <=26  <=22
 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    1    0    0    0
 260 Sep 16    3    0    0    0
 262 Sep 18    6    0    0    0
 264 Sep 20    9    1    1    0
 266 Sep 22   12    1    1    0
 268 Sep 24   14    3    1    0
 270 Sep 26   19    3    3    0
 272 Sep 28   27    7    3    1
 274 Sep 30   35    9    4    1
 276 Oct 02   41   12    5    1
 278 Oct 04   48   14    6    2
 280 Oct 06   58   18    9    3
 282 Oct 08   62   26   15    4
 284 Oct 10   68   32   21    6
 286 Oct 12   73   40   27   10
 288 Oct 14   76   43   29   10
 290 Oct 16   81   47   34   12
 292 Oct 18   84   52   39   17
 294 Oct 20   86   58   44   20
 296 Oct 22   90   68   50   23
 298 Oct 24   91   73   56   24
 300 Oct 26   93   79   61   34
 302 Oct 28   96   83   68   38
 304 Oct 30   96   88   71   45
 306 Nov 01   98   88   77   55
 308 Nov 03   98   93   84   61
 310 Nov 05  100   93   89   65
 312 Nov 07  100   96   91   70
 314 Nov 09  100   96   93   76
 316 Nov 11  100   97   94   81
 318 Nov 13  100   98   95   85
 320 Nov 15  100   98   97   89
 322 Nov 17  100   98   97   91
 324 Nov 19  100   99   99   94
 326 Nov 21  100   99   99   96
 328 Nov 23  100  100  100   96
 330 Nov 25  100  100  100   99
 332 Nov 27  100  100  100   99
 334 Nov 29  100  100  100   99

Publications Citing IEM Data (View All)

These are the most recent 10 publications that have cited the usage of data from this page. This list is not exhaustive, so please let us know if you have a publication that should be added.

  • Kimtai, D., C. Schmidt, et al. 2026, Pathogenicity and fungicide sensitivity of Phaeocytostroma ambiguum, a fungal species recovered from the crowns of corn plants. APS Online. https://doi.org/10.1094/PDIS-02-26-0383-RE
  • Saha, G., F. Rahmani, et al. 2026, Analyzing the deep learning approach-based modeling framework to understand the critical environmental factors of predicting daily nitrate concentrations. Journal of Environmental Management. Vol 404 https://doi.org/10.1016/j.jenvman.2026.129539
  • Thilakarathne, A., M. Woods, et al. 2026, Diversified cropping systems enhance soybean resilience to extreme drought. Agriculture, Ecosystems & Environment. Volume 399 https://doi.org/10.1016/j.agee.2025.110180
  • Huang, H., P. Cao, et al. 2026, Combining in-field and edge-of-field practices enhances nitrate reduction in tile-drained catchments. Water Research https://doi.org/10.1016/j.watres.2026.125852
  • Aina, O. and J. Brotzge. 2026, A Comparison of COOP, ASOS, and Kentucky Mesonet Precipitation. J of Atmospheric and Oceanic Technology. https://doi.org/10.1175/JTECH-D-25-0063.1
  • Seraglio, N., A. Singh, et al. 2026, Optimizing planting date for mung bean cultivars. Crop, Forage and Turfgrass Mgnt. https://doi.org/10.1002/cft2.70113
  • Kwakye, S., A. Garg, et al. 2026, Effect of soil health management on soil water storage for climate resilience. Agrosytems, Geosciences, and Environment. Vol 9 https://doi.org/10.1002/agg2.70322
  • Pereyra, V., C. Hernandez, et al. 2026, Regional drivers of soybean farmers’ yield, seed protein, and oil concentration. Field Crops Research. Volume 335 https://doi.org/10.1016/j.fcr.2025.110176
  • Betts, A., A. Sisson, et al. 2025, Corn Yield Loss Estimates Due to Diseases in the United States and Ontario, Canada, from 2020 to 2023. Plant Health Progress. https://doi.org/10.1094/PHP-07-25-0193-RS
  • Mosher, G., E. Derry, et al. 2025, Modeling the Role of Weather Patterns and Grain Quality in On-farm Engulfments and Entrapments. Journal of Agricultural Safety and Health https://doi.org/10.13031/jash.16260