% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 161411 % Primary Name: EL MORRO CAA AP % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.01670 +/- 0.00005 % Longitude: -108.40000 +/- 0.00005 % Elevation (m): 2171.10 +/- 0.05 % # of Months: 99 % % IDs: coop - 292780 % ghcnd - USW00023060 % gsod - 999999-23060 % ncdc - 20020570 % wban - 23060 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7553dda701c58cd4013f86450842691c % Raw Data Hash: 97f9440315241834eb3fcdd1ffce7367 % Adj Data Hash: 2fa67a1d0959fd2d4cf2ba24d387fc85 % % 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 1939 3 NaN NaN NaN NaN NaN NaN 4.260 0.395 1939 4 NaN NaN NaN NaN NaN NaN 9.361 1.464 1939 5 NaN NaN NaN NaN NaN NaN 13.448 0.754 1939 6 NaN NaN NaN NaN NaN NaN 18.516 0.516 1939 7 NaN NaN NaN NaN NaN NaN 21.815 0.786 1939 8 NaN NaN NaN NaN NaN NaN 20.179 0.599 1939 9 NaN NaN NaN NaN NaN NaN 17.361 1.189 1939 10 NaN NaN NaN NaN NaN NaN 9.508 -0.583 1939 11 NaN NaN NaN NaN NaN NaN 4.829 1.375 1939 12 NaN NaN NaN NaN NaN NaN 1.602 2.540 1940 1 NaN NaN NaN NaN NaN NaN -0.396 0.995 1940 2 NaN NaN NaN NaN NaN NaN 1.132 0.243 1940 3 4.167 1.984 0 0 4.167 1.984 4.992 1.127 1940 4 NaN NaN NaN NaN NaN NaN 8.473 0.576 1940 5 NaN NaN NaN NaN NaN NaN 13.817 1.124 1940 6 NaN NaN NaN NaN NaN NaN 19.077 1.076 1940 7 19.500 0.154 0 0 19.500 0.154 21.478 0.450 1940 8 18.111 0.213 0 0 18.111 0.213 19.592 0.011 1940 9 NaN NaN NaN NaN NaN NaN 16.335 0.162 1940 10 10.000 1.592 0 0 10.000 1.592 11.085 0.994 1940 11 1.667 -0.104 0 0 1.667 -0.104 2.875 -0.578 1940 12 NaN NaN NaN NaN NaN NaN 2.226 3.163 1941 1 NaN NaN NaN NaN NaN NaN 0.377 1.768 1941 2 NaN NaN NaN NaN NaN NaN 3.174 2.285 1941 3 3.056 0.873 0 0 3.056 0.873 3.697 -0.168 1941 4 4.778 -1.437 0 0 4.778 -1.437 5.642 -2.255 1941 5 NaN NaN NaN NaN NaN NaN 12.737 0.044 1941 6 14.222 -2.096 0 0 14.222 -2.096 15.930 -2.071 1941 7 18.222 -1.124 0 0 18.222 -1.124 19.986 -1.042 1941 8 17.667 -0.231 0 0 17.667 -0.231 18.924 -0.656 1941 9 13.667 -0.823 0 0 13.667 -0.823 15.684 -0.488 1941 10 8.222 -0.186 0 0 8.222 -0.186 9.665 -0.425 1941 11 2.111 0.340 0 0 2.111 0.340 3.935 0.482 1941 12 -1.500 1.120 0 0 -1.500 1.120 0.961 1.898 1942 1 -4.222 -1.149 0 0 -4.222 -1.149 -0.676 0.715 1942 2 -2.778 -1.984 0 0 -2.778 -1.984 -1.102 -1.991 1942 3 0.444 -1.738 0 0 0.444 -1.738 1.866 -1.999 1942 4 6.778 0.563 0 0 6.778 0.563 8.276 0.379 1942 5 10.556 -0.455 0 0 10.556 -0.455 11.915 -0.778 1942 6 15.278 -1.040 0 0 15.278 -1.040 17.515 -0.486 1942 7 19.444 0.099 0 0 19.444 0.099 21.963 0.934 1942 8 18.778 0.880 0 0 18.778 0.880 19.482 -0.098 1942 9 14.389 -0.101 0 0 14.389 -0.101 16.544 0.371 1942 10 8.056 -0.353 0 0 8.056 -0.353 10.110 0.019 1942 11 3.444 1.674 0 0 3.444 1.674 5.844 2.391 1942 12 -0.111 2.509 0 0 -0.111 2.509 1.564 2.501 1943 1 -0.833 2.240 0 0 -0.833 2.240 0.546 1.937 1943 2 1.667 2.460 0 0 1.667 2.460 3.079 2.190 1943 3 3.278 1.095 0 0 3.278 1.095 4.744 0.878 1943 4 8.556 2.341 0 0 8.556 2.341 10.313 2.416 1943 5 11.278 0.268 0 0 11.278 0.268 13.325 0.632 1943 6 16.222 -0.096 0 0 16.222 -0.096 17.824 -0.177 1943 7 19.444 0.099 0 0 19.444 0.099 21.350 0.321 1943 8 19.556 1.658 0 0 19.556 1.658 20.090 0.510 1943 9 14.889 0.399 0 0 14.889 0.399 16.774 0.601 1943 10 8.333 -0.075 0 0 8.333 -0.075 10.177 0.086 1943 11 2.389 0.618 0 0 2.389 0.618 3.685 0.232 1943 12 -1.667 0.953 0 0 -1.667 0.953 -0.665 0.272 1944 1 -3.333 -0.260 0 0 -3.333 -0.260 -2.075 -0.684 1944 2 -0.333 0.460 0 0 -0.333 0.460 0.723 -0.167 1944 3 0.944 -1.238 0 0 0.944 -1.238 2.501 -1.364 1944 4 5.111 -1.104 0 0 5.111 -1.104 6.694 -1.203 1944 5 10.611 -0.399 0 0 10.611 -0.399 12.003 -0.690 1944 6 15.556 -0.762 0 0 15.556 -0.762 16.664 -1.337 1944 7 18.778 -0.568 0 0 18.778 -0.568 20.517 -0.511 1944 8 18.889 0.991 0 0 18.889 0.991 20.079 0.499 1944 9 14.333 -0.156 0 0 14.333 -0.156 16.198 0.025 1944 10 10.333 1.925 0 0 10.333 1.925 11.449 1.359 1944 11 1.167 -0.604 0 0 1.167 -0.604 2.440 -1.013 1944 12 -1.889 0.731 0 0 -1.889 0.731 -0.553 0.384 1945 1 -3.000 0.074 0 0 -3.000 0.074 -1.134 0.257 1945 2 1.444 2.238 0 0 1.444 2.238 2.286 1.397 1945 3 1.444 -0.738 0 0 1.444 -0.738 2.151 -1.714 1945 4 5.333 -0.881 0 0 5.333 -0.881 6.814 -1.083 1945 5 10.333 -0.677 0 0 10.333 -0.677 12.230 -0.464 1945 6 13.667 -2.651 0 0 13.667 -2.651 15.921 -2.080 1945 7 19.444 0.099 0 0 19.444 0.099 21.404 0.375 1945 8 20.000 2.102 0 0 20.000 2.102 20.485 0.904 1945 9 14.667 0.177 0 0 14.667 0.177 16.745 0.572 1945 10 9.333 0.925 0 0 9.333 0.925 11.176 1.085 1945 11 0.889 -0.882 0 0 0.889 -0.882 3.217 -0.236 1945 12 -6.556 -3.935 0 0 -6.556 -3.935 -3.039 -2.101 1946 1 -7.778 -4.704 0 0 -7.778 -4.704 -3.442 -2.051 1946 2 -4.556 -3.762 0 0 -4.556 -3.762 0.112 -0.777 1946 3 3.556 1.373 0 0 3.556 1.373 4.497 0.632 1946 4 9.667 3.452 0 0 9.667 3.452 11.017 3.119 1946 5 10.333 -0.677 0 0 10.333 -0.677 11.911 -0.782 1946 6 16.889 0.571 0 0 16.889 0.571 19.135 1.134 1946 7 19.333 -0.012 0 0 19.333 -0.012 21.053 0.025 1946 8 18.667 0.769 0 0 18.667 0.769 19.522 -0.058 1946 9 15.667 1.177 0 0 15.667 1.177 17.271 1.098 1946 10 7.111 -1.297 0 0 7.111 -1.297 9.415 -0.676 1946 11 1.222 -0.548 0 0 1.222 -0.548 2.617 -0.836 1946 12 0.000 2.620 0 0 0.000 2.620 1.593 2.530 1947 1 -5.722 -2.649 0 0 -5.722 -2.649 -2.983 -1.592 1947 2 1.278 2.071 0 0 1.278 2.071 2.730 1.841 1947 3 2.611 0.429 0 0 2.611 0.429 4.244 0.379 1947 4 5.111 -1.104 0 0 5.111 -1.104 7.724 -0.173 1947 5 12.556 1.545 0 0 12.556 1.545 13.853 1.160 1947 6 14.806 -1.512 0 0 14.806 -1.512 16.874 -1.127 1947 7 19.778 0.432 0 0 19.778 0.432 21.615 0.587 1947 8 18.556 0.658 0 0 18.556 0.658 19.147 -0.433 1947 9 15.944 1.455 0 0 15.944 1.455 17.678 1.506 1947 10 9.583 1.175 0 0 9.583 1.175 11.261 1.170 1947 11 NaN NaN NaN NaN NaN NaN 0.941 -2.512 1947 12 -2.667 -0.047 0 0 -2.667 -0.047 -2.292 -1.355 1948 1 -3.000 0.074 0 0 -3.000 0.074 -1.061 0.330 1948 2 -2.000 -1.206 0 0 -2.000 -1.206 -0.554 -1.443 1948 3 -2.333 -4.516 0 0 -2.333 -4.516 -0.048 -3.913 1948 4 8.056 1.841 0 0 8.056 1.841 9.181 1.283 1948 5 12.056 1.045 0 0 12.056 1.045 13.243 0.550 1948 6 15.722 -0.596 0 0 15.722 -0.596 17.916 -0.085 1948 7 19.167 -0.179 0 0 19.167 -0.179 21.202 0.174 1948 8 18.722 0.824 0 0 18.722 0.824 19.928 0.347 1948 9 15.500 1.010 0 0 15.500 1.010 17.335 1.162 1948 10 9.000 0.592 0 0 9.000 0.592 10.770 0.680 1948 11 -0.556 -2.326 0 0 -0.556 -2.326 1.278 -2.175 1948 12 -1.444 1.176 0 0 -1.444 1.176 0.801 1.738 1949 1 -6.056 -2.982 0 0 -6.056 -2.982 -4.519 -3.128 1949 2 -6.946 -6.153 1 0 NaN NaN -1.168 -2.057 1949 3 NaN NaN NaN NaN NaN NaN 3.649 -0.216 1949 4 NaN NaN NaN NaN NaN NaN 8.410 0.512 1949 5 NaN NaN NaN NaN NaN NaN 12.153 -0.540 1949 6 NaN NaN NaN NaN NaN NaN 17.681 -0.320 1949 7 NaN NaN NaN NaN NaN NaN 20.925 -0.104 1949 8 NaN NaN NaN NaN NaN NaN 19.144 -0.436 1949 9 NaN NaN NaN NaN NaN NaN 17.964 1.791 1949 10 NaN NaN NaN NaN NaN NaN 9.181 -0.910 1949 11 NaN NaN NaN NaN NaN NaN 6.103 2.650 1949 12 NaN NaN NaN NaN NaN NaN -2.252 -1.315 1950 1 NaN NaN NaN NaN NaN NaN -0.299 1.092 1950 2 NaN NaN NaN NaN NaN NaN 2.724 1.835