% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29866 % Primary Name: IX XI RANCH % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.95000 +/- 0.00005 % Longitude: -107.93330 +/- 0.00005 % Elevation (m): 2135.10 +/- 0.05 % # of Months: 106 % % Alternate Names: IX XI RCH % % IDs: coop - 294335 % ghcnd - USC00294335 % ncdc - 20020562 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 857c6f89a36493ddc5357ee4dd5e8c7b % Raw Data Hash: b7ced3a79272d6c0540aef67746cf393 % Adj Data Hash: 441c774b4024536dc0d7805b95cc1613 % % 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 1938 12 NaN NaN NaN NaN NaN NaN 1.841 1.689 1939 1 NaN NaN NaN NaN NaN NaN -0.462 -0.346 1939 2 NaN NaN NaN NaN NaN NaN -2.279 -4.668 1939 3 NaN NaN NaN NaN NaN NaN 6.158 0.170 1939 4 NaN NaN NaN NaN NaN NaN 11.278 0.840 1939 5 NaN NaN NaN NaN NaN NaN 15.772 0.352 1939 6 NaN NaN NaN NaN NaN NaN 21.214 0.499 1939 7 NaN NaN NaN NaN NaN NaN 22.909 -0.235 1939 8 NaN NaN NaN NaN NaN NaN 21.573 -0.098 1939 9 NaN NaN NaN NaN NaN NaN 19.133 1.265 1939 10 NaN NaN NaN NaN NaN NaN 11.000 -0.530 1939 11 NaN NaN NaN NaN NaN NaN 4.937 0.357 1939 12 -1.333 1.858 0 0 -0.705 2.486 2.720 2.569 1940 1 -2.444 1.014 0 0 -1.816 1.643 0.363 0.479 1940 2 -1.667 -0.714 0 0 -1.038 -0.085 2.054 -0.335 1940 3 3.778 1.132 0 0 4.406 1.761 7.000 1.012 1940 4 6.944 -0.151 0 0 7.573 0.478 10.317 -0.121 1940 5 12.222 0.144 0 0 12.851 0.773 15.711 0.290 1940 6 17.000 -0.373 0 0 17.629 0.255 20.603 -0.113 1940 7 18.889 -0.913 0 0 19.518 -0.285 23.234 0.090 1940 8 17.111 -1.217 0 0 17.740 -0.589 21.086 -0.585 1940 9 13.667 -0.859 0 0 14.295 -0.230 18.305 0.437 1940 10 8.889 0.702 0 0 9.518 1.331 12.606 1.076 1940 11 1.667 0.429 0 0 2.295 1.058 3.864 -0.716 1940 12 0.667 3.858 0 0 1.295 4.486 2.890 2.738 1941 1 -2.889 0.570 0 0 -2.260 1.199 0.928 1.044 1941 2 -0.222 0.731 0 0 0.406 1.359 4.080 1.690 1941 3 1.444 -1.201 0 0 2.073 -0.572 4.913 -1.075 1941 4 3.722 -3.373 0 0 4.351 -2.745 8.056 -2.382 1941 5 11.333 -0.745 0 0 11.962 -0.116 15.057 -0.364 1941 6 13.667 -3.707 0 0 14.295 -3.078 18.431 -2.285 1941 7 17.778 -2.024 0 0 18.406 -1.396 21.754 -1.390 1941 8 17.444 -0.884 0 0 18.073 -0.255 20.852 -0.819 1941 9 13.222 -1.303 0 0 13.851 -0.674 17.396 -0.472 1941 10 7.556 -0.631 0 0 8.184 -0.003 11.291 -0.239 1941 11 2.278 1.040 0 0 2.906 1.669 5.134 0.554 1941 12 -1.222 1.969 0 0 -0.594 2.597 1.510 1.358 1942 1 -3.556 -0.097 0 0 -2.927 0.532 1.145 1.262 1942 2 -3.500 -2.547 0 0 -2.871 -1.918 0.280 -2.110 1942 3 -0.444 -3.090 0 0 0.184 -2.461 3.987 -2.001 1942 4 6.444 -0.651 0 0 7.073 -0.022 10.502 0.064 1942 5 10.778 -1.300 0 0 11.406 -0.672 14.728 -0.693 1942 6 16.333 -1.040 0 0 16.962 -0.411 20.810 0.094 1942 7 18.611 -1.191 0 0 19.240 -0.562 23.232 0.088 1942 8 16.944 -1.384 0 0 17.573 -0.755 21.237 -0.434 1942 9 13.444 -1.081 0 0 14.073 -0.452 17.504 -0.364 1942 10 8.056 -0.131 0 0 8.684 0.497 11.549 0.019 1942 11 4.000 2.762 0 0 4.629 3.391 6.936 2.356 1942 12 -0.556 2.635 0 0 0.073 3.264 2.876 2.725 1943 1 -2.222 1.237 0 0 -1.594 1.865 1.760 1.876 1943 2 0.444 1.397 0 0 1.073 2.026 4.307 1.918 1943 3 2.333 -0.312 0 0 2.962 0.317 6.509 0.521 1943 4 8.222 1.127 0 0 8.851 1.755 12.867 2.429 1943 5 11.000 -1.078 0 0 11.629 -0.450 16.057 0.636 1943 6 15.111 -2.262 0 0 15.740 -1.633 20.584 -0.131 1943 7 18.778 -1.024 0 0 19.406 -0.396 23.147 0.002 1943 8 17.889 -0.439 0 0 18.518 0.189 22.925 1.255 1943 9 13.444 -1.081 0 0 14.073 -0.452 18.224 0.357 1943 10 7.222 -0.965 0 0 7.851 -0.336 11.199 -0.330 1943 11 1.833 0.596 0 0 2.462 1.224 4.603 0.023 1943 12 -3.556 -0.365 0 0 -2.927 0.264 -1.083 -1.235 1944 1 -4.556 -1.097 0 0 -3.927 -0.468 -2.201 -2.084 1944 2 -2.056 -1.103 0 0 -1.427 -0.474 2.157 -0.233 1944 3 0.222 -2.423 0 0 0.851 -1.795 4.627 -1.361 1944 4 4.333 -2.762 0 0 4.962 -2.133 8.961 -1.477 1944 5 10.000 -2.078 0 0 10.629 -1.450 14.447 -0.974 1944 6 15.000 -2.373 0 0 15.629 -1.745 19.810 -0.906 1944 7 18.222 -1.580 0 0 18.851 -0.951 22.686 -0.459 1944 8 18.222 -0.106 0 0 18.851 0.523 21.927 0.256 1944 9 13.778 -0.748 0 0 14.406 -0.119 17.739 -0.129 1944 10 9.333 1.146 0 0 9.962 1.775 12.613 1.083 1944 11 4.921 3.683 1 0 NaN NaN 4.049 -0.531 1944 12 NaN NaN NaN NaN NaN NaN 0.460 0.309 1945 1 NaN NaN NaN NaN NaN NaN 0.715 0.831 1945 2 NaN NaN NaN NaN NaN NaN 4.035 1.645 1945 3 NaN NaN NaN NaN NaN NaN 4.899 -1.089 1945 4 NaN NaN NaN NaN NaN NaN 9.094 -1.344 1945 5 NaN NaN NaN NaN NaN NaN 15.467 0.047 1945 6 NaN NaN NaN NaN NaN NaN 19.241 -1.474 1945 7 20.778 0.976 0 4 19.895 0.093 23.071 -0.074 1945 8 21.111 2.783 0 0 20.228 1.900 22.604 0.933 1945 9 16.556 2.030 0 0 15.672 1.147 18.612 0.744 1945 10 11.833 3.646 0 0 10.950 2.763 12.333 0.803 1945 11 3.444 2.207 0 0 2.561 1.324 5.058 0.478 1945 12 -2.667 0.524 0 0 -3.550 -0.359 -0.994 -1.145 1946 1 -3.778 -0.319 0 0 -4.661 -1.202 -1.776 -1.660 1946 2 -1.056 -0.103 0 0 -1.939 -0.986 1.968 -0.422 1946 3 4.389 1.743 0 0 3.506 0.860 6.438 0.450 1946 4 10.667 3.571 0 0 9.784 2.688 13.397 2.960 1946 5 12.444 0.366 0 0 11.561 -0.517 14.647 -0.773 1946 6 18.222 0.849 0 0 17.339 -0.034 22.089 1.373 1946 7 20.111 0.309 0 0 19.228 -0.574 23.161 0.016 1946 8 NaN NaN NaN NaN NaN NaN 21.757 0.086 1946 9 15.611 1.086 0 0 14.728 0.203 19.216 1.348 1946 10 8.500 0.313 0 0 7.617 -0.570 11.211 -0.318 1946 11 1.222 -0.015 0 0 0.339 -0.899 3.408 -1.172 1946 12 1.333 4.524 0 0 0.450 3.641 2.721 2.569 1947 1 -3.556 -0.097 0 0 -4.439 -0.980 -1.280 -1.164 1947 2 1.889 2.842 0 0 1.006 1.959 3.564 1.174 1947 3 5.000 2.355 0 0 4.117 1.471 6.089 0.101 1947 4 7.222 0.127 0 0 6.339 -0.756 10.046 -0.392 1947 5 12.889 0.811 0 0 12.006 -0.072 16.472 1.052 1947 6 16.167 -1.207 0 0 15.284 -2.090 20.225 -0.491 1947 7 19.738 -0.064 1 0 NaN NaN 23.943 0.798 1947 8 NaN NaN NaN NaN NaN NaN 21.574 -0.097 1947 9 16.278 1.752 0 0 15.395 0.869 19.513 1.646 1947 10 10.000 1.813 0 0 9.117 0.930 13.138 1.608 1947 11 1.000 -0.238 0 0 0.117 -1.121 2.499 -2.081 1947 12 -1.778 1.413 0 0 -2.661 0.530 -0.845 -0.996 1948 1 8.667 12.126 1 0 NaN NaN -0.714 -0.597 1948 2 -0.173 0.780 1 0 NaN NaN 1.117 -1.273 1948 3 1.333 -1.312 0 0 0.450 -2.195 2.930 -3.058 1948 4 7.556 0.460 0 0 6.672 -0.423 12.265 1.827 1948 5 12.611 0.533 0 0 11.728 -0.350 15.959 0.538 1948 6 16.167 -1.207 0 0 15.284 -2.090 20.590 -0.126 1948 7 19.389 -0.413 0 0 18.506 -1.296 23.427 0.282 1948 8 18.778 0.449 0 0 17.895 -0.434 22.226 0.555 1948 9 15.889 1.364 0 0 15.006 0.480 18.766 0.898 1948 10 9.667 1.480 0 0 8.784 0.597 11.509 -0.021 1948 11 1.000 -0.238 0 0 0.117 -1.121 2.329 -2.251 1948 12 -0.833 2.358 0 0 -1.716 1.474 1.775 1.623 1949 1 -5.056 -1.597 0 0 -5.939 -2.480 -3.023 -2.907 1949 2 -1.944 -0.992 0 0 -2.828 -1.875 0.689 -1.701 1949 3 2.333 -0.312 0 0 1.450 -1.195 6.058 0.070 1949 4 7.056 -0.040 0 0 6.172 -0.923 10.413 -0.025 1949 5 13.064 0.986 1 0 NaN NaN 14.978 -0.443 1949 6 NaN NaN NaN NaN NaN NaN 20.350 -0.366 1949 7 19.667 -0.135 0 0 18.784 -1.019 22.795 -0.350 1949 8 NaN NaN NaN NaN NaN NaN 21.348 -0.323 1949 9 NaN NaN NaN NaN NaN NaN 18.982 1.114 1949 10 NaN NaN NaN NaN NaN NaN 10.660 -0.870 1949 11 NaN NaN NaN NaN NaN NaN 7.340 2.760 1949 12 NaN NaN NaN NaN NaN NaN -0.670 -0.822 1950 1 NaN NaN NaN NaN NaN NaN 1.156 1.272 1950 2 NaN NaN NaN NaN NaN NaN 4.398 2.008 1950 3 NaN NaN NaN NaN NaN NaN 6.566 0.578 1950 4 NaN NaN NaN NaN NaN NaN 12.002 1.564 1950 5 NaN NaN NaN NaN NaN NaN 14.912 -0.509 1950 6 NaN NaN NaN NaN NaN NaN 21.276 0.560 1950 7 NaN NaN NaN NaN NaN NaN 22.356 -0.789