% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34804 % Primary Name: ACHILLES % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.71670 +/- 0.00005 % Longitude: -100.80000 +/- 0.00005 % Elevation (m): 841.90 +/- 0.05 % # of Months: 61 % % IDs: coop - 140020 % ghcnd - USC00140020 % ncdc - 20007928 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: eb6b58201d3f9cef83b2c7d74e8b2f42 % Raw Data Hash: ad680cda00c9c68554015571cb929960 % Adj Data Hash: fbacd969207b2374a54c018141ebbd22 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1899 4 NaN NaN NaN NaN NaN NaN 10.924 -0.086 1899 5 NaN NaN NaN NaN NaN NaN 17.550 0.756 1899 6 NaN NaN NaN NaN NaN NaN 22.295 -0.334 1899 7 NaN NaN NaN NaN NaN NaN 23.722 -2.105 1899 8 NaN NaN NaN NaN NaN NaN 25.939 1.207 1899 9 NaN NaN NaN NaN NaN NaN 19.620 0.226 1899 10 NaN NaN NaN NaN NaN NaN 14.412 1.578 1899 11 NaN NaN NaN NaN NaN NaN 6.908 2.455 1899 12 NaN NaN NaN NaN NaN NaN -1.141 -0.426 1900 1 NaN NaN NaN NaN NaN NaN 0.395 3.525 1900 2 NaN NaN NaN NaN NaN NaN -2.955 -3.061 1900 3 NaN NaN NaN NaN NaN NaN 3.845 -0.289 1900 4 10.887 0.410 0 0 10.887 0.410 11.146 0.136 1900 5 16.623 0.361 0 0 16.623 0.361 17.267 0.473 1900 6 NaN NaN NaN NaN NaN NaN 23.489 0.860 1900 7 24.988 -0.306 0 0 24.988 -0.306 25.474 -0.354 1900 8 NaN NaN NaN NaN NaN NaN 26.604 1.873 1900 9 NaN NaN NaN NaN NaN NaN 19.717 0.322 1900 10 14.414 2.113 0 0 14.414 2.113 15.447 2.613 1900 11 3.533 -0.387 0 0 3.533 -0.387 3.746 -0.707 1900 12 -0.079 1.169 0 0 -0.079 1.169 0.861 1.576 1901 1 -2.141 1.522 1 0 NaN NaN -2.494 0.636 1901 2 -4.428 -4.000 0 0 -4.428 -4.000 -3.872 -3.977 1901 3 3.102 -0.500 1 0 NaN NaN 2.895 -1.240 1901 4 9.143 -1.334 0 0 9.143 -1.334 9.980 -1.030 1901 5 15.298 -0.964 0 0 15.298 -0.964 15.861 -0.933 1901 6 22.481 0.385 0 0 22.481 0.385 23.962 1.333 1901 7 27.597 2.303 0 0 27.597 2.303 28.940 3.113 1901 8 23.559 -0.640 0 0 23.559 -0.640 25.219 0.487 1901 9 17.464 -1.398 0 0 17.464 -1.398 18.641 -0.754 1901 10 12.267 -0.034 0 0 12.267 -0.034 14.214 1.379 1901 11 5.560 1.640 0 0 5.560 1.640 5.558 1.105 1901 12 -1.432 -0.185 1 0 NaN NaN -1.173 -0.458 1902 1 -2.364 1.299 0 0 -2.364 1.299 -2.544 0.585 1902 2 -1.446 -1.019 0 0 -1.446 -1.019 -2.214 -2.319 1902 3 5.090 1.488 0 0 5.090 1.488 5.320 1.185 1902 4 11.075 0.598 0 0 11.075 0.598 11.612 0.602 1902 5 17.048 0.786 0 0 17.048 0.786 18.345 1.550 1902 6 19.240 -2.856 0 0 19.240 -2.856 20.428 -2.201 1902 7 22.840 -2.454 0 0 22.840 -2.454 23.999 -1.828 1902 8 23.152 -1.047 0 0 23.152 -1.047 24.492 -0.239 1902 9 16.139 -2.722 0 0 16.139 -2.722 16.461 -2.934 1902 10 12.040 -0.261 0 0 12.040 -0.261 13.735 0.901 1902 11 4.679 0.759 0 0 4.679 0.759 5.136 0.683 1902 12 -4.547 -3.299 0 0 -4.547 -3.299 -4.090 -3.375 1903 1 -0.247 3.416 0 0 -0.247 3.416 -1.186 1.944 1903 2 -5.659 -5.231 0 0 -5.659 -5.231 -4.781 -4.886 1903 3 2.879 -0.723 0 0 2.879 -0.723 2.630 -1.505 1903 4 10.079 -0.398 0 0 10.079 -0.398 11.130 0.120 1903 5 13.570 -2.691 0 0 13.570 -2.691 14.842 -1.952 1903 6 17.038 -5.058 0 0 17.038 -5.058 18.279 -4.350 1903 7 23.086 -2.208 1 0 NaN NaN 24.594 -1.233 1903 8 22.572 -1.627 0 0 22.572 -1.627 23.077 -1.654 1903 9 16.707 -2.154 0 0 16.707 -2.154 17.430 -1.965 1903 10 11.720 -0.581 0 0 11.720 -0.581 13.470 0.636 1903 11 4.060 0.140 0 0 4.060 0.140 4.080 -0.374 1903 12 -0.293 0.954 0 0 -0.293 0.954 0.408 1.122 1904 1 -2.602 1.061 0 0 -2.602 1.061 -3.102 0.027 1904 2 -0.916 -0.488 0 0 -0.916 -0.488 -1.159 -1.264 1904 3 5.966 2.364 0 0 5.966 2.364 5.621 1.486 1904 4 9.570 -0.907 0 0 9.570 -0.907 9.642 -1.368 1904 5 15.249 -1.012 0 0 15.249 -1.012 15.668 -1.127 1904 6 18.645 -3.451 0 0 18.645 -3.451 19.950 -2.679 1904 7 22.413 -2.881 0 0 22.413 -2.881 23.772 -2.055 1904 8 22.021 -2.178 0 0 22.021 -2.178 22.634 -2.098 1904 9 18.312 -0.550 0 0 18.312 -0.550 19.257 -0.138 1904 10 12.839 0.537 0 0 12.839 0.537 14.381 1.547 1904 11 5.638 1.718 0 0 5.638 1.718 6.233 1.780 1904 12 -0.287 0.961 0 0 -0.287 0.961 -1.007 -0.293 1905 1 -5.570 -1.907 0 0 -5.570 -1.907 -7.027 -3.897 1905 2 NaN NaN NaN NaN NaN NaN -6.800 -6.906 1905 3 7.778 4.177 0 0 7.778 4.177 7.179 3.044 1905 4 9.785 -0.692 0 0 9.785 -0.692 9.692 -1.318 1905 5 14.418 -1.844 0 0 14.418 -1.844 14.908 -1.886 1905 6 21.560 -0.536 0 0 21.560 -0.536 22.600 -0.028 1905 7 23.365 -1.929 0 0 23.365 -1.929 22.558 -3.269 1905 8 25.900 1.701 0 0 25.900 1.701 24.843 0.111 1905 9 NaN NaN NaN NaN NaN NaN 20.388 0.993 1905 10 NaN NaN NaN NaN NaN NaN 10.802 -2.033 1905 11 NaN NaN NaN NaN NaN NaN 6.111 1.658 1905 12 NaN NaN NaN NaN NaN NaN -0.302 0.413 1906 1 NaN NaN NaN NaN NaN NaN 0.209 3.338 1906 2 NaN NaN NaN NaN NaN NaN 1.193 1.088 1906 3 NaN NaN NaN NaN NaN NaN -2.052 -6.187 1906 4 NaN NaN NaN NaN NaN NaN 13.116 2.106 1906 5 NaN NaN NaN NaN NaN NaN 16.834 0.040 1906 6 NaN NaN NaN NaN NaN NaN 20.745 -1.883 1906 7 NaN NaN NaN NaN NaN NaN 22.231 -3.597 1906 8 NaN NaN NaN NaN NaN NaN 23.881 -0.851