% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37312 % Primary Name: HAWK SPRINGS % Record Type: TAVG % Country: United States % State: WY % Latitude: 41.78330 +/- 0.00005 % Longitude: -104.30000 +/- 0.00005 % Elevation (m): 1339.00 +/- 0.05 % # of Months: 84 % % Alternate Names: Missing Station ID - 484360 % % IDs: coop - 484360 % ghcnd - USC00484360 % ncdc - 20022666 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7bc8a6bad567829b26321786e6834b52 % Raw Data Hash: aef1099ab8fdc446b309b2117ae2df23 % Adj Data Hash: 8fa5df89cbea6b1d19dbe92b70a63b48 % % 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 1937 8 NaN NaN NaN NaN NaN NaN 22.851 2.429 1937 9 NaN NaN NaN NaN NaN NaN 16.891 1.471 1937 10 NaN NaN NaN NaN NaN NaN 10.411 1.109 1937 11 NaN NaN NaN NaN NaN NaN 1.710 -0.282 1937 12 NaN NaN NaN NaN NaN NaN -2.361 -0.666 1938 1 NaN NaN NaN NaN NaN NaN -2.185 1.296 1938 2 NaN NaN NaN NaN NaN NaN 0.259 1.248 1938 3 NaN NaN NaN NaN NaN NaN 3.416 2.067 1938 4 NaN NaN NaN NaN NaN NaN 7.311 0.638 1938 5 NaN NaN NaN NaN NaN NaN 11.409 -0.978 1938 6 NaN NaN NaN NaN NaN NaN 17.913 0.024 1938 7 NaN NaN NaN NaN NaN NaN 21.260 -0.328 1938 8 23.722 2.426 0 0 23.754 2.458 21.839 1.417 1938 9 17.889 1.594 0 0 17.929 1.634 16.402 0.982 1938 10 12.167 1.991 0 0 12.229 2.053 11.650 2.349 1938 11 2.111 -0.756 0 0 2.174 -0.693 0.126 -1.866 1938 12 -0.667 0.154 0 0 -0.635 0.186 -2.021 -0.325 1939 1 -0.389 2.218 0 0 -0.388 2.219 -1.631 1.850 1939 2 -4.889 -4.774 0 0 -4.890 -4.775 -5.745 -4.756 1939 3 3.889 1.665 0 0 3.907 1.683 1.959 0.609 1939 4 9.111 1.564 0 0 9.148 1.600 7.629 0.956 1939 5 15.667 2.405 0 0 15.715 2.453 14.403 2.015 1939 6 18.000 -0.764 0 0 18.052 -0.711 17.517 -0.373 1939 7 25.000 2.538 0 0 25.043 2.581 23.403 1.815 1939 8 21.000 -0.296 0 0 21.031 -0.265 20.117 -0.304 1939 9 17.444 1.150 0 0 17.484 1.190 17.009 1.588 1939 10 10.944 0.768 0 0 11.007 0.830 10.571 1.269 1939 11 3.444 0.578 0 0 3.507 0.641 3.458 1.466 1939 12 2.667 3.488 0 0 2.698 3.520 2.309 4.004 1940 1 -7.333 -4.726 0 0 -7.333 -4.726 -7.513 -4.032 1940 2 0.778 0.892 0 0 0.777 0.891 0.085 1.074 1940 3 3.889 1.665 0 0 3.907 1.683 3.391 2.041 1940 4 6.556 -0.992 0 0 6.592 -0.955 6.771 0.098 1940 5 13.333 0.072 0 0 13.382 0.120 13.278 0.890 1940 6 19.889 1.125 0 0 19.941 1.178 19.101 1.212 1940 7 23.667 1.204 0 0 23.710 1.247 22.689 1.101 1940 8 21.333 0.037 0 0 21.365 0.069 20.261 -0.161 1940 9 17.889 1.594 0 0 17.929 1.634 17.085 1.665 1940 10 11.667 1.491 0 0 11.729 1.553 11.997 2.695 1940 11 0.667 -2.200 0 0 0.730 -2.137 0.314 -1.678 1940 12 -0.111 0.710 0 0 -0.079 0.742 -0.007 1.689 1941 1 -1.000 1.607 0 0 -0.999 1.608 -1.250 2.231 1941 2 -0.333 -0.219 0 0 -0.334 -0.220 0.728 1.717 1941 3 0.944 -1.279 0 0 0.962 -1.261 0.356 -0.993 1941 4 6.556 -0.992 0 0 6.592 -0.955 6.318 -0.354 1941 5 NaN NaN NaN NaN NaN NaN 14.068 1.681 1941 6 NaN NaN NaN NaN NaN NaN 16.501 -1.388 1941 7 NaN NaN NaN NaN NaN NaN 21.056 -0.532 1941 8 NaN NaN NaN NaN NaN NaN 20.223 -0.199 1941 9 NaN NaN NaN NaN NaN NaN 14.172 -1.248 1941 10 NaN NaN NaN NaN NaN NaN 9.015 -0.287 1941 11 3.778 0.911 0 0 3.841 0.974 3.677 1.684 1941 12 -1.333 -0.512 0 0 -1.302 -0.480 -0.628 1.068 1942 1 -5.167 -2.560 0 0 -5.166 -2.559 -5.303 -1.822 1942 2 -3.778 -3.663 0 0 -3.779 -3.664 -5.108 -4.119 1942 3 0.944 -1.279 0 0 0.962 -1.261 0.063 -1.287 1942 4 9.778 2.231 0 0 9.814 2.267 8.824 2.151 1942 5 12.111 -1.151 0 0 12.160 -1.102 10.937 -1.451 1942 6 17.111 -1.653 0 0 17.164 -1.600 16.281 -1.609 1942 7 21.944 -0.518 0 0 21.987 -0.475 21.431 -0.157 1942 8 22.333 1.037 0 0 22.365 1.069 20.000 -0.422 1942 9 15.222 -1.073 0 0 15.262 -1.033 14.182 -1.239 1942 10 9.389 -0.787 0 0 9.451 -0.725 9.799 0.497 1942 11 4.389 1.522 0 0 4.452 1.585 3.077 1.084 1942 12 1.000 1.821 0 0 1.032 1.853 0.199 1.895 1943 1 -2.544 0.063 1 0 NaN NaN -1.775 1.707 1943 2 3.778 3.892 0 0 3.777 3.891 2.585 3.574 1943 3 0.667 -1.557 0 0 0.685 -1.539 -1.395 -2.745 1943 4 11.556 4.008 0 0 11.592 4.045 10.219 3.546 1943 5 11.556 -1.706 0 0 11.604 -1.658 10.124 -2.263 1943 6 17.556 -1.208 0 0 17.608 -1.156 16.626 -1.264 1943 7 23.000 0.538 0 0 23.043 0.581 22.291 0.703 1943 8 23.667 2.371 0 0 23.698 2.402 21.964 1.543 1943 9 15.944 -0.350 0 0 15.984 -0.310 14.910 -0.511 1943 10 10.222 0.046 0 0 10.284 0.108 10.050 0.748 1943 11 3.333 0.466 0 0 3.396 0.529 2.864 0.872 1943 12 -0.222 0.599 0 0 -0.190 0.631 -0.560 1.136 1944 1 -1.778 0.829 0 0 -1.777 0.830 -2.843 0.638 1944 2 -0.944 -0.830 0 0 -0.945 -0.831 -1.401 -0.412 1944 3 -0.111 -2.335 0 0 -0.093 -2.317 -1.788 -3.137 1944 4 6.667 -0.880 0 0 6.703 -0.844 4.602 -2.071 1944 5 14.556 1.294 0 0 14.604 1.342 12.911 0.523 1944 6 17.778 -0.986 0 0 17.830 -0.933 16.841 -1.048 1944 7 21.000 -1.462 0 0 21.043 -1.419 20.482 -1.106 1944 8 22.556 1.260 0 0 22.587 1.291 20.893 0.471 1944 9 16.444 0.150 0 0 16.484 0.190 15.317 -0.103 1944 10 11.111 0.935 0 0 11.173 0.997 11.006 1.705 1944 11 NaN NaN NaN NaN NaN NaN 2.572 0.580 1944 12 NaN NaN NaN NaN NaN NaN -2.795 -1.100 1945 1 -0.944 1.662 0 0 -0.944 1.663 -2.059 1.422 1945 2 -0.444 -0.330 0 0 -0.445 -0.331 -0.334 0.655 1945 3 4.333 2.110 0 0 4.351 2.127 2.419 1.070 1945 4 5.222 -2.325 0 0 5.259 -2.289 3.350 -3.323 1945 5 12.722 -0.540 0 0 12.771 -0.491 11.655 -0.732 1945 6 NaN NaN NaN NaN NaN NaN 14.254 -3.635 1945 7 NaN NaN NaN NaN NaN NaN 21.139 -0.449 1945 8 NaN NaN NaN NaN NaN NaN 20.430 0.008 1945 9 NaN NaN NaN NaN NaN NaN 13.598 -1.822 1945 10 NaN NaN NaN NaN NaN NaN 10.993 1.691 1945 11 NaN NaN NaN NaN NaN NaN 3.340 1.347 1945 12 NaN NaN NaN NaN NaN NaN -2.984 -1.288 1946 1 NaN NaN NaN NaN NaN NaN -1.416 2.065 1946 2 NaN NaN NaN NaN NaN NaN 0.814 1.803 1946 3 NaN NaN NaN NaN NaN NaN 4.205 2.855 1946 4 NaN NaN NaN NaN NaN NaN 10.814 4.141 1946 5 NaN NaN NaN NaN NaN NaN 9.607 -2.781 1946 6 NaN NaN NaN NaN NaN NaN 17.820 -0.069 1946 7 NaN NaN NaN NaN NaN NaN 22.125 0.537 1946 8 NaN NaN NaN NaN NaN NaN 19.921 -0.500 1946 9 16.444 0.150 0 2 16.152 -0.142 15.233 -0.188 1946 10 8.333 -1.843 0 0 7.880 -2.296 8.242 -1.060 1946 11 2.667 -0.200 0 0 2.207 -0.660 0.479 -1.513 1946 12 2.000 2.821 0 0 1.768 2.589 1.516 3.211 1947 1 -0.556 2.051 0 0 -0.561 2.046 -2.295 1.186 1947 2 -2.944 -2.830 0 0 -2.937 -2.823 -2.735 -1.746 1947 3 1.667 -0.557 0 0 1.536 -0.688 -0.295 -1.645 1947 4 7.667 0.120 0 0 7.401 -0.146 6.271 -0.402 1947 5 12.667 -0.595 0 0 12.312 -0.950 11.693 -0.694 1947 6 16.111 -2.653 0 0 15.728 -3.035 15.009 -2.880 1947 7 NaN NaN NaN NaN NaN NaN 21.621 0.033 1947 8 NaN NaN NaN NaN NaN NaN 21.671 1.249 1947 9 NaN NaN NaN NaN NaN NaN 17.096 1.675 1947 10 NaN NaN NaN NaN NaN NaN 12.459 3.157 1947 11 NaN NaN NaN NaN NaN NaN -1.425 -3.417 1947 12 NaN NaN NaN NaN NaN NaN -0.475 1.221 1948 1 NaN NaN NaN NaN NaN NaN -4.035 -0.554 1948 2 NaN NaN NaN NaN NaN NaN -3.128 -2.139 1948 3 NaN NaN NaN NaN NaN NaN -2.029 -3.379 1948 4 NaN NaN NaN NaN NaN NaN 8.963 2.290 1948 5 NaN NaN NaN NaN NaN NaN 13.038 0.651 1948 6 NaN NaN NaN NaN NaN NaN 17.457 -0.432