% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41406 % Primary Name: HALEY % Record Type: TAVG % Country: United States % State: ND % Latitude: 45.96670 +/- 0.00005 % Longitude: -103.13330 +/- 0.00005 % Elevation (m): 808.00 +/- 0.05 % # of Months: 62 % % IDs: coop - 323836 % ghcnd - USC00323836 % ncdc - 20014101 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a94e4477c6e386fb347c6ba56e90dd88 % Raw Data Hash: e37cde06e5dac0f97ee2dd690746d6e9 % Adj Data Hash: 14775ae28e0a10c0554be6caf182b08d % % 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 1907 3 NaN NaN NaN NaN NaN NaN -0.474 1.716 1907 4 NaN NaN NaN NaN NaN NaN 1.939 -3.782 1907 5 NaN NaN NaN NaN NaN NaN 7.632 -4.863 1907 6 NaN NaN NaN NaN NaN NaN 16.043 -1.702 1907 7 NaN NaN NaN NaN NaN NaN 19.120 -2.442 1907 8 NaN NaN NaN NaN NaN NaN 19.498 -1.263 1907 9 NaN NaN NaN NaN NaN NaN 11.642 -2.790 1907 10 NaN NaN NaN NaN NaN NaN 9.247 1.263 1907 11 NaN NaN NaN NaN NaN NaN 0.387 1.286 1907 12 NaN NaN NaN NaN NaN NaN -4.585 2.385 1908 1 NaN NaN NaN NaN NaN NaN -6.005 4.803 1908 2 NaN NaN NaN NaN NaN NaN -6.959 0.051 1908 3 -2.859 -1.401 0 0 -2.859 -1.401 -3.711 -1.521 1908 4 7.562 1.108 0 0 7.562 1.108 7.375 1.655 1908 5 9.985 -3.243 0 0 9.985 -3.243 10.169 -2.327 1908 6 15.222 -3.256 0 0 15.222 -3.256 15.034 -2.711 1908 7 21.379 -0.917 0 0 21.379 -0.917 21.156 -0.407 1908 8 18.758 -2.737 0 0 18.758 -2.737 18.509 -2.252 1908 9 16.812 1.646 0 0 16.812 1.646 16.498 2.066 1908 10 6.161 -2.556 0 0 6.161 -2.556 7.478 -0.506 1908 11 1.451 1.616 0 0 1.451 1.616 0.398 1.297 1908 12 -7.092 -0.856 0 0 -7.092 -0.856 -7.182 -0.213 1909 1 -12.381 -2.307 0 0 -12.381 -2.307 -12.995 -2.187 1909 2 -8.377 -2.101 0 0 -8.377 -2.101 -7.098 -0.088 1909 3 -1.505 -0.048 0 0 -1.505 -0.048 -2.413 -0.223 1909 4 2.109 -4.345 0 0 2.109 -4.345 2.006 -3.714 1909 5 10.876 -2.352 0 0 10.876 -2.352 10.467 -2.028 1909 6 17.019 -1.460 0 0 17.019 -1.460 17.067 -0.678 1909 7 19.742 -2.554 0 0 19.742 -2.554 19.867 -1.696 1909 8 21.444 -0.051 0 0 21.444 -0.051 22.205 1.444 1909 9 15.170 0.005 0 0 15.170 0.005 14.955 0.523 1909 10 6.688 -2.029 0 0 6.688 -2.029 8.269 0.285 1909 11 5.036 5.201 1 0 NaN NaN -0.215 0.684 1909 12 -10.717 -4.480 0 0 -10.717 -4.480 -13.133 -6.163 1910 1 -7.304 2.770 0 0 -7.304 2.770 -10.751 0.057 1910 2 -11.362 -5.087 1 0 NaN NaN -13.175 -6.165 1910 3 9.996 11.453 0 0 9.996 11.453 5.767 7.957 1910 4 14.020 7.566 0 0 14.020 7.566 9.956 4.236 1910 5 13.618 0.390 0 0 13.618 0.390 10.533 -1.962 1910 6 21.760 3.281 0 0 21.760 3.281 18.685 0.940 1910 7 26.877 4.582 0 0 26.877 4.582 22.165 0.603 1910 8 20.604 -0.891 0 0 20.604 -0.891 18.136 -2.625 1910 9 17.022 1.857 0 0 17.022 1.857 13.113 -1.319 1910 10 13.804 5.087 1 0 NaN NaN 10.805 2.821 1910 11 1.507 1.672 1 0 NaN NaN -1.913 -1.014 1910 12 -1.396 4.840 0 0 -1.396 4.840 -5.682 1.288 1911 1 -6.100 3.975 1 0 NaN NaN -11.587 -0.780 1911 2 -6.806 -0.530 1 0 NaN NaN -7.403 -0.394 1911 3 2.485 3.942 0 0 2.485 3.942 1.880 4.070 1911 4 5.159 -1.295 0 0 5.159 -1.295 5.393 -0.327 1911 5 12.537 -0.692 0 0 12.537 -0.692 13.402 0.907 1911 6 19.923 1.444 0 0 19.923 1.444 20.804 3.059 1911 7 18.793 -3.503 0 0 18.793 -3.503 19.656 -1.906 1911 8 NaN NaN NaN NaN NaN NaN 17.821 -2.941 1911 9 13.060 -2.105 0 0 13.060 -2.105 13.832 -0.600 1911 10 5.217 -3.500 0 0 5.217 -3.500 7.053 -0.931 1911 11 -7.153 -6.988 0 0 -7.153 -6.988 -6.328 -5.429 1911 12 -6.698 -0.462 0 0 -6.698 -0.462 -6.924 0.046 1912 1 NaN NaN NaN NaN NaN NaN -15.433 -4.625 1912 2 NaN NaN NaN NaN NaN NaN -6.776 0.234 1912 3 NaN NaN NaN NaN NaN NaN -8.879 -6.688 1912 4 NaN NaN NaN NaN NaN NaN 7.583 1.862 1912 5 NaN NaN NaN NaN NaN NaN 11.488 -1.007 1912 6 NaN NaN NaN NaN NaN NaN 16.660 -1.085 1912 7 20.282 -2.014 0 0 20.282 -2.014 19.778 -1.785 1912 8 19.670 -1.824 0 0 19.670 -1.824 18.832 -1.929 1912 9 12.330 -2.835 0 0 12.330 -2.835 10.135 -4.297 1912 10 6.485 -2.232 0 0 6.485 -2.232 8.016 0.032 1912 11 2.793 2.958 1 0 NaN NaN 1.733 2.632 1912 12 -2.852 3.384 1 0 NaN NaN -3.974 2.996 1913 1 -12.238 -2.163 0 0 -12.238 -2.163 -12.328 -1.521 1913 2 -10.298 -4.022 0 0 -10.298 -4.022 -8.890 -1.880 1913 3 -6.550 -5.093 0 0 -6.550 -5.093 -6.573 -4.382 1913 4 10.754 4.300 0 0 10.754 4.300 8.338 2.618 1913 5 11.569 -1.660 0 0 11.569 -1.660 10.611 -1.884 1913 6 NaN NaN NaN NaN NaN NaN 18.491 0.745 1913 7 24.637 2.342 1 0 NaN NaN 20.027 -1.536 1913 8 23.360 1.865 0 0 23.360 1.865 21.798 1.037 1913 9 15.914 0.749 0 0 15.914 0.749 14.136 -0.296 1913 10 NaN NaN NaN NaN NaN NaN 5.904 -2.080 1913 11 NaN NaN NaN NaN NaN NaN 2.652 3.551 1913 12 NaN NaN NaN NaN NaN NaN -3.667 3.302 1914 1 NaN NaN NaN NaN NaN NaN -5.182 5.626 1914 2 -12.713 -6.438 0 0 -12.713 -6.438 -11.624 -4.614 1914 3 -4.960 -3.503 1 0 NaN NaN -2.858 -0.668 1914 4 7.644 1.190 0 0 7.644 1.190 6.194 0.473 1914 5 NaN NaN NaN NaN NaN NaN 12.258 -0.237 1914 6 NaN NaN NaN NaN NaN NaN 17.171 -0.574 1914 7 NaN NaN NaN NaN NaN NaN 23.131 1.568 1914 8 NaN NaN NaN NaN NaN NaN 19.071 -1.690 1914 9 NaN NaN NaN NaN NaN NaN 15.360 0.928 1914 10 NaN NaN NaN NaN NaN NaN 10.393 2.409 1914 11 NaN NaN NaN NaN NaN NaN 2.353 3.252 1914 12 NaN NaN NaN NaN NaN NaN -11.486 -4.516 1915 1 NaN NaN NaN NaN NaN NaN -11.269 -0.461 1915 2 NaN NaN NaN NaN NaN NaN -5.440 1.569 1915 3 NaN NaN NaN NaN NaN NaN -6.276 -4.085 1915 4 NaN NaN NaN NaN NaN NaN 10.553 4.832