% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31989 % Primary Name: BOX RANCH % Record Type: TAVG % Country: United States % State: CO % Latitude: 37.23330 +/- 0.00005 % Longitude: -103.80000 +/- 0.00005 % Elevation (m): 1707.44 +/- 0.71 % # of Months: 139 % % Alternate Names: BOX RCH % % IDs: coop - 50873 % ghcnd - USC00050873 % ncdc - 20003360 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: b1a563e79328bcbfcc1a524c364b6c8e % Raw Data Hash: 0eafea6431e075512626ebc4c1aa5480 % Adj Data Hash: ffe001ade4d71e9dc9a078d63283bd4f % % 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 1936 6 NaN NaN NaN NaN NaN NaN 22.813 1.630 1936 7 NaN NaN NaN NaN NaN NaN 25.144 1.108 1936 8 NaN NaN NaN NaN NaN NaN 23.778 1.073 1936 9 NaN NaN NaN NaN NaN NaN 17.623 -0.530 1936 10 NaN NaN NaN NaN NaN NaN 10.458 -1.237 1936 11 NaN NaN NaN NaN NaN NaN 4.342 0.318 1936 12 NaN NaN NaN NaN NaN NaN 1.053 1.219 1937 1 NaN NaN NaN NaN NaN NaN -6.032 -4.401 1937 2 NaN NaN NaN NaN NaN NaN 1.201 -0.010 1937 3 NaN NaN NaN NaN NaN NaN 2.676 -1.804 1937 4 NaN NaN NaN NaN NaN NaN 10.177 0.211 1937 5 NaN NaN NaN NaN NaN NaN 16.313 0.859 1937 6 22.118 1.307 1 0 NaN NaN 20.692 -0.491 1937 7 23.556 -0.107 0 0 23.556 -0.107 25.043 1.007 1937 8 24.500 2.167 0 0 24.500 2.167 25.076 2.371 1937 9 19.222 1.443 0 0 19.222 1.443 19.334 1.182 1937 10 12.444 1.122 0 0 12.444 1.122 12.363 0.667 1937 11 4.722 1.072 0 0 4.722 1.072 3.926 -0.098 1937 12 -0.944 -0.405 0 0 -0.944 -0.405 -0.196 -0.029 1938 1 0.556 2.560 0 0 0.556 2.560 -0.022 1.609 1938 2 1.444 0.606 0 0 1.444 0.606 2.496 1.285 1938 3 8.333 4.227 0 0 8.333 4.227 6.467 1.987 1938 4 8.944 -0.649 0 0 8.944 -0.649 9.942 -0.024 1938 5 13.667 -1.414 0 0 13.667 -1.414 14.352 -1.101 1938 6 20.000 -0.811 0 0 20.000 -0.811 21.102 -0.081 1938 7 22.333 -1.330 0 0 22.333 -1.330 23.859 -0.177 1938 8 23.778 1.445 0 0 23.778 1.445 24.260 1.554 1938 9 17.667 -0.113 0 0 17.667 -0.113 18.714 0.562 1938 10 NaN NaN NaN NaN NaN NaN 13.758 2.063 1938 11 2.000 -1.651 0 0 2.000 -1.651 1.951 -2.072 1938 12 0.889 1.428 0 0 0.889 1.428 0.960 1.126 1939 1 -1.778 0.226 0 0 -1.778 0.226 0.127 1.759 1939 2 -2.278 -3.116 0 0 -2.278 -3.116 -2.993 -4.204 1939 3 5.167 1.060 0 0 5.167 1.060 4.546 0.066 1939 4 9.889 0.295 0 0 9.889 0.295 10.507 0.541 1939 5 15.667 0.586 0 0 15.667 0.586 16.070 0.616 1939 6 20.778 -0.033 0 0 20.778 -0.033 21.783 0.599 1939 7 23.667 0.004 0 0 23.667 0.004 24.821 0.786 1939 8 21.667 -0.666 0 0 21.667 -0.666 22.592 -0.113 1939 9 20.222 2.443 0 0 20.222 2.443 20.300 2.147 1939 10 11.667 0.344 0 0 11.667 0.344 12.594 0.898 1939 11 4.222 0.572 0 0 4.222 0.572 4.454 0.431 1939 12 1.889 2.428 0 0 1.889 2.428 2.520 2.686 1940 1 -6.000 -3.996 0 0 -6.000 -3.996 -6.659 -5.027 1940 2 0.278 -0.560 0 0 0.278 -0.560 1.456 0.245 1940 3 5.667 1.560 0 0 5.667 1.560 5.441 0.961 1940 4 9.167 -0.427 0 0 9.167 -0.427 9.484 -0.482 1940 5 15.222 0.141 0 0 15.222 0.141 15.332 -0.122 1940 6 19.111 -1.699 0 0 19.111 -1.699 21.314 0.131 1940 7 23.222 -0.441 0 0 23.222 -0.441 24.885 0.849 1940 8 20.500 -1.833 0 0 20.500 -1.833 21.850 -0.855 1940 9 18.111 0.331 0 0 18.111 0.331 19.132 0.979 1940 10 13.333 2.011 0 0 13.333 2.011 13.854 2.158 1940 11 1.444 -2.206 0 0 1.444 -2.206 2.508 -1.515 1940 12 -0.667 -0.127 0 0 -0.667 -0.127 1.220 1.386 1941 1 -0.778 1.226 0 0 -0.778 1.226 -0.222 1.409 1941 2 3.667 2.829 0 0 3.667 2.829 2.681 1.470 1941 3 3.667 -0.440 0 0 3.667 -0.440 3.014 -1.466 1941 4 8.722 -0.871 0 0 8.722 -0.871 9.207 -0.759 1941 5 14.778 -0.303 0 0 14.778 -0.303 15.863 0.409 1941 6 18.056 -2.755 0 0 18.056 -2.755 19.388 -1.796 1941 7 20.444 -3.218 0 0 20.444 -3.218 22.664 -1.372 1941 8 20.333 -1.999 0 0 20.333 -1.999 22.240 -0.466 1941 9 17.111 -0.669 0 0 17.111 -0.669 17.596 -0.557 1941 10 11.722 0.400 0 0 11.722 0.400 11.594 -0.101 1941 11 4.222 0.572 0 0 4.222 0.572 5.201 1.177 1941 12 -0.056 0.484 0 0 -0.056 0.484 0.598 0.764 1942 1 -3.444 -1.440 0 0 -3.444 -1.440 -2.381 -0.750 1942 2 -1.333 -2.171 0 0 -1.333 -2.171 -1.569 -2.780 1942 3 2.000 -2.107 0 0 2.000 -2.107 2.979 -1.501 1942 4 9.556 -0.038 0 0 9.556 -0.038 10.965 0.998 1942 5 14.444 -0.636 0 0 14.444 -0.636 14.868 -0.586 1942 6 NaN NaN NaN NaN NaN NaN 20.197 -0.986 1942 7 21.667 -1.996 0 0 21.667 -1.996 23.486 -0.550 1942 8 20.889 -1.444 0 0 20.889 -1.444 22.289 -0.416 1942 9 15.889 -1.891 0 0 15.889 -1.891 17.112 -1.040 1942 10 11.833 0.511 0 0 11.833 0.511 11.557 -0.138 1942 11 6.778 3.127 0 0 6.778 3.127 6.344 2.320 1942 12 0.556 1.095 0 0 0.556 1.095 1.337 1.503 1943 1 0.000 2.004 0 0 0.000 2.004 -0.126 1.505 1943 2 3.667 2.829 0 0 3.667 2.829 4.458 3.247 1943 3 3.333 -0.773 0 0 3.333 -0.773 3.093 -1.386 1943 4 12.889 3.295 0 0 12.889 3.295 13.243 3.277 1943 5 14.222 -0.859 0 0 14.222 -0.859 13.729 -1.724 1943 6 NaN NaN NaN NaN NaN NaN 21.598 0.414 1943 7 25.333 1.670 0 0 25.333 1.670 24.680 0.645 1943 8 25.500 3.167 0 0 25.500 3.167 24.432 1.726 1943 9 19.056 1.276 0 0 19.056 1.276 17.723 -0.430 1943 10 10.111 -1.211 0 0 10.111 -1.211 11.222 -0.473 1943 11 10.444 6.794 0 0 10.444 6.794 4.252 0.229 1943 12 -2.000 -1.461 0 0 -2.000 -1.461 -1.317 -1.150 1944 1 -2.444 -0.440 0 0 -2.444 -0.440 -1.974 -0.343 1944 2 1.056 0.217 0 0 1.056 0.217 1.271 0.060 1944 3 4.889 0.782 0 0 4.889 0.782 2.853 -1.627 1944 4 7.111 -2.482 0 0 7.111 -2.482 6.938 -3.029 1944 5 13.944 -1.136 0 0 13.944 -1.136 14.971 -0.483 1944 6 19.889 -0.922 0 0 19.889 -0.922 20.846 -0.337 1944 7 22.556 -1.107 0 0 22.556 -1.107 22.866 -1.170 1944 8 NaN NaN NaN NaN NaN NaN 23.083 0.378 1944 9 19.111 1.331 0 0 19.111 1.331 18.334 0.182 1944 10 11.111 -0.211 0 0 11.111 -0.211 12.713 1.017 1944 11 4.889 1.238 0 0 4.889 1.238 4.814 0.791 1944 12 -1.056 -0.516 0 0 -1.056 -0.516 0.105 0.272 1945 1 1.444 3.449 0 0 1.444 3.449 -0.974 0.657 1945 2 2.611 1.773 0 0 2.611 1.773 2.029 0.818 1945 3 6.056 1.949 0 0 6.056 1.949 5.997 1.517 1945 4 7.722 -1.871 0 0 7.722 -1.871 7.654 -2.313 1945 5 NaN NaN NaN NaN NaN NaN 15.217 -0.237 1945 6 18.000 -2.811 0 0 18.000 -2.811 18.564 -2.620 1945 7 22.222 -1.441 0 0 22.222 -1.441 23.391 -0.644 1945 8 20.556 -1.777 0 0 20.556 -1.777 22.798 0.093 1945 9 16.389 -1.391 0 0 16.389 -1.391 17.270 -0.883 1945 10 11.278 -0.045 0 0 11.278 -0.045 12.636 0.940 1945 11 NaN NaN NaN NaN NaN NaN 5.308 1.285 1945 12 -0.444 0.095 0 0 -0.444 0.095 -1.679 -1.513 1946 1 -0.778 1.226 0 0 -0.778 1.226 -0.656 0.976 1946 2 1.778 0.940 0 0 1.778 0.940 2.985 1.774 1946 3 5.333 1.227 0 0 5.333 1.227 6.479 2.000 1946 4 13.778 4.184 0 0 13.778 4.184 13.698 3.731 1946 5 13.389 -1.692 0 0 13.389 -1.692 13.107 -2.347 1946 6 21.222 0.412 0 0 21.222 0.412 22.111 0.928 1946 7 23.000 -0.663 0 0 23.000 -0.663 24.400 0.364 1946 8 22.556 0.223 0 0 22.556 0.223 22.540 -0.165 1946 9 18.583 0.804 1 0 NaN NaN 18.517 0.364 1946 10 11.333 0.011 0 0 11.333 0.011 11.714 0.019 1946 11 NaN NaN NaN NaN NaN NaN 0.824 -3.199 1946 12 3.111 3.650 0 0 3.111 3.650 3.059 3.226 1947 1 -1.444 0.560 0 0 -1.444 0.560 -1.140 0.491 1947 2 -0.278 -1.116 0 0 -0.278 -1.116 -0.106 -1.317 1947 3 4.000 -0.107 0 0 4.000 -0.107 2.842 -1.638 1947 4 8.667 -0.927 0 0 8.667 -0.927 9.154 -0.812 1947 5 14.000 -1.081 0 0 14.000 -1.081 14.481 -0.973 1947 6 18.444 -2.366 0 0 18.444 -2.366 19.273 -1.911 1947 7 21.111 -2.552 0 0 21.111 -2.552 23.647 -0.389 1947 8 22.333 0.001 0 0 22.333 0.001 23.487 0.782 1947 9 19.556 1.776 0 0 19.556 1.776 19.939 1.786 1947 10 11.869 0.547 1 0 NaN NaN 14.294 2.599 1947 11 NaN NaN NaN NaN NaN NaN 1.381 -2.643 1947 12 NaN NaN NaN NaN NaN NaN -0.192 -0.026 1948 1 NaN NaN NaN NaN NaN NaN -2.998 -1.366 1948 2 NaN NaN NaN NaN NaN NaN -2.037 -3.248 1948 3 -0.111 -4.218 0 0 -0.111 -4.218 -0.602 -5.082 1948 4 12.556 2.962 0 0 12.556 2.962 12.436 2.470 1948 5 14.389 -0.692 0 0 14.389 -0.692 15.294 -0.159 1948 6 19.111 -1.699 0 0 19.111 -1.699 20.543 -0.640 1948 7 22.556 -1.107 0 0 22.556 -1.107 23.746 -0.290 1948 8 22.167 -0.166 0 0 22.167 -0.166 22.521 -0.184 1948 9 20.556 2.776 0 0 20.556 2.776 19.864 1.711 1948 10 NaN NaN NaN NaN NaN NaN 11.881 0.186 1948 11 1.924 -1.727 1 0 NaN NaN 2.190 -1.833 1948 12 NaN NaN NaN NaN NaN NaN 1.032 1.199 1949 1 -5.167 -3.162 0 0 -5.167 -3.162 -5.909 -4.278 1949 2 0.778 -0.060 0 0 0.778 -0.060 0.346 -0.865 1949 3 5.389 1.282 0 0 5.389 1.282 4.762 0.283 1949 4 NaN NaN NaN NaN NaN NaN 10.073 0.106 1949 5 14.944 -0.136 0 0 14.944 -0.136 15.451 -0.002 1949 6 19.111 -1.699 0 0 19.111 -1.699 20.051 -1.133 1949 7 22.278 -1.385 0 0 22.278 -1.385 23.711 -0.325 1949 8 21.889 -0.444 0 0 21.889 -0.444 22.125 -0.580 1949 9 NaN NaN NaN NaN NaN NaN 18.243 0.090 1949 10 NaN NaN NaN NaN NaN NaN 11.477 -0.218 1949 11 8.444 4.794 0 0 8.444 4.794 8.230 4.207 1949 12 1.778 2.317 0 0 1.778 2.317 0.848 1.015 1950 1 1.722 3.726 0 0 1.722 3.726 -0.010 1.621 1950 2 3.333 2.495 0 0 3.333 2.495 4.202 2.991 1950 3 4.056 -0.051 0 0 4.056 -0.051 4.150 -0.329 1950 4 9.111 -0.482 0 0 9.111 -0.482 10.619 0.652 1950 5 NaN NaN NaN NaN NaN NaN 14.432 -1.022 1950 6 NaN NaN NaN NaN NaN NaN 21.633 0.449 1950 7 NaN NaN NaN NaN NaN NaN 22.048 -1.988 1950 8 NaN NaN NaN NaN NaN NaN 20.798 -1.908 1950 9 NaN NaN NaN NaN NaN NaN 17.093 -1.060 1950 10 NaN NaN NaN NaN NaN NaN 15.641 3.946 1950 11 NaN NaN NaN NaN NaN NaN 4.284 0.261 1950 12 NaN NaN NaN NaN NaN NaN 2.427 2.593 1951 1 NaN NaN NaN NaN NaN NaN -2.048 -0.417 1951 2 NaN NaN NaN NaN NaN NaN 2.585 1.374 1951 3 NaN NaN NaN NaN NaN NaN 3.067 -1.412 1951 4 NaN NaN NaN NaN NaN NaN 8.429 -1.538