% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29466 % Primary Name: FORT SUMNER NEW MEXICO AAF % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.48300 +/- 0.00050 % Longitude: -104.21600 +/- 0.00050 % Elevation (m): 1263.00 +/- 0.05 % # of Months: 35 % % IDs: gsod - 749158-99999 % icao - FUS % usaf - 749158 % % Sources: Global Summary of the Day % % Site Hash: a1485faceefdae15216716f29dc21cb5 % Raw Data Hash: 9b7e86c2db4c7d6f47d7980acca1b846 % Adj Data Hash: 7a831cddf330c92a422ba997c72782ff % % 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 1942 1 NaN NaN NaN NaN NaN NaN 2.444 0.636 1942 2 NaN NaN NaN NaN NaN NaN 1.633 -2.182 1942 3 NaN NaN NaN NaN NaN NaN 5.403 -1.584 1942 4 NaN NaN NaN NaN NaN NaN 11.071 -0.447 1942 5 NaN NaN NaN NaN NaN NaN 15.304 -1.236 1942 6 NaN NaN NaN NaN NaN NaN 21.433 -0.301 1942 7 NaN NaN NaN NaN NaN NaN 23.110 -0.515 1942 8 NaN NaN NaN NaN NaN NaN 21.578 -0.801 1942 9 NaN NaN NaN NaN NaN NaN 17.681 -1.082 1942 10 NaN NaN NaN NaN NaN NaN 12.557 -0.373 1942 11 NaN NaN NaN NaN NaN NaN 8.338 1.856 1942 12 NaN NaN NaN NaN NaN NaN 4.856 2.244 1943 1 3.167 -0.781 0 0 3.167 -0.781 2.929 1.121 1943 2 6.333 0.378 0 0 6.333 0.378 5.527 1.712 1943 3 8.665 -0.462 0 0 8.665 -0.462 6.795 -0.191 1943 4 16.670 3.013 0 0 16.670 3.013 13.949 2.431 1943 5 18.747 0.068 0 0 18.747 0.068 16.467 -0.073 1943 6 24.809 0.935 0 0 24.809 0.935 22.035 0.301 1943 7 25.647 -0.118 0 0 25.647 -0.118 23.274 -0.352 1943 8 27.566 3.048 0 0 27.566 3.048 24.287 1.908 1943 9 20.930 0.026 0 0 20.930 0.026 18.877 0.113 1943 10 14.314 -0.756 0 0 14.314 -0.756 12.556 -0.374 1943 11 6.709 -1.913 0 0 6.709 -1.913 5.784 -0.698 1943 12 1.235 -3.517 0 0 1.235 -3.517 0.436 -2.176 1944 1 1.158 -2.790 0 0 1.158 -2.790 -0.002 -1.810 1944 2 5.038 -0.917 1 0 NaN NaN 3.708 -0.107 1944 3 8.373 -0.754 0 0 8.373 -0.754 5.955 -1.032 1944 4 12.700 -0.957 0 0 12.700 -0.957 9.939 -1.579 1944 5 19.321 0.641 0 0 19.321 0.641 15.535 -1.005 1944 6 24.719 0.844 0 0 24.719 0.844 21.441 -0.293 1944 7 26.057 0.292 0 0 26.057 0.292 23.276 -0.349 1944 8 25.513 0.994 0 0 25.513 0.994 22.841 0.463 1944 9 20.217 -0.687 0 0 20.217 -0.687 18.423 -0.341 1944 10 15.118 0.048 0 0 15.118 0.048 13.517 0.587 1944 11 7.926 -0.696 0 0 7.926 -0.696 6.155 -0.327 1944 12 1.534 -3.218 0 0 1.534 -3.218 1.468 -1.144 1945 1 3.432 -0.515 0 0 3.432 -0.515 2.256 0.449 1945 2 6.956 1.001 0 0 6.956 1.001 5.274 1.459 1945 3 10.047 0.920 0 0 10.047 0.920 6.921 -0.066 1945 4 11.933 -1.724 0 0 11.933 -1.724 9.709 -1.809 1945 5 20.638 1.958 0 0 20.638 1.958 16.925 0.385 1945 6 24.344 0.470 0 0 24.344 0.470 20.897 -0.837 1945 7 25.790 0.025 0 0 25.790 0.025 23.173 -0.452 1945 8 25.889 1.370 0 0 25.889 1.370 22.907 0.528 1945 9 21.815 0.912 0 0 21.815 0.912 19.398 0.635 1945 10 14.581 -0.489 0 0 14.581 -0.489 13.314 0.384 1945 11 10.986 2.364 1 0 NaN NaN 7.445 0.963 1945 12 NaN NaN NaN NaN NaN NaN 2.107 -0.505 1946 1 NaN NaN NaN NaN NaN NaN 0.672 -1.136 1946 2 NaN NaN NaN NaN NaN NaN 3.904 0.088 1946 3 NaN NaN NaN NaN NaN NaN 7.821 0.834 1946 4 NaN NaN NaN NaN NaN NaN 14.468 2.951 1946 5 NaN NaN NaN NaN NaN NaN 15.371 -1.169 1946 6 NaN NaN NaN NaN NaN NaN 22.926 1.192 1946 7 NaN NaN NaN NaN NaN NaN 23.699 0.073 1946 8 NaN NaN NaN NaN NaN NaN 22.720 0.342 1946 9 NaN NaN NaN NaN NaN NaN 19.767 1.003 1946 10 NaN NaN NaN NaN NaN NaN 13.274 0.344 1946 11 NaN NaN NaN NaN NaN NaN 5.494 -0.988