% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29506 % Primary Name: SABINAL % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.53330 +/- 0.00005 % Longitude: -106.80000 +/- 0.00005 % Elevation (m): 1434.10 +/- 0.05 % # of Months: 44 % % IDs: coop - 297707 % ghcnd - USC00297707 % ncdc - 20020510 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9320140cb787cd183114ee6844d36660 % Raw Data Hash: 5e60f12b441884aed212203b7d108d07 % Adj Data Hash: 6c908ff05f972b2e43563c906d06dc69 % % 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 1932 7 NaN NaN NaN NaN NaN NaN 22.870 -0.275 1932 8 NaN NaN NaN NaN NaN NaN 21.801 0.130 1932 9 NaN NaN NaN NaN NaN NaN 17.197 -0.671 1932 10 NaN NaN NaN NaN NaN NaN 10.598 -0.931 1932 11 NaN NaN NaN NaN NaN NaN 5.041 0.461 1932 12 NaN NaN NaN NaN NaN NaN -2.443 -2.595 1933 1 NaN NaN NaN NaN NaN NaN -1.691 -1.574 1933 2 NaN NaN NaN NaN NaN NaN -0.754 -3.143 1933 3 NaN NaN NaN NaN NaN NaN 6.860 0.872 1933 4 NaN NaN NaN NaN NaN NaN 8.109 -2.329 1933 5 NaN NaN NaN NaN NaN NaN 13.339 -2.082 1933 6 NaN NaN NaN NaN NaN NaN 20.871 0.156 1933 7 25.111 0.538 0 0 25.111 0.538 23.533 0.389 1933 8 22.667 -0.433 0 0 22.667 -0.433 21.453 -0.218 1933 9 19.778 0.481 0 0 19.778 0.481 19.768 1.900 1933 10 12.944 -0.014 0 0 12.944 -0.014 12.918 1.388 1933 11 6.556 0.547 0 0 6.556 0.547 5.724 1.144 1933 12 3.389 1.809 0 0 3.389 1.809 3.042 2.891 1934 1 3.556 2.243 0 0 3.556 2.243 0.622 0.738 1934 2 6.333 2.515 0 0 6.333 2.515 5.019 2.630 1934 3 9.667 2.250 0 0 9.667 2.250 8.074 2.086 1934 4 12.222 0.356 0 0 12.222 0.356 12.035 1.597 1934 5 17.222 0.373 0 0 17.222 0.373 17.452 2.031 1934 6 19.167 -2.978 0 0 19.167 -2.978 20.296 -0.420 1934 7 24.444 -0.129 0 0 24.444 -0.129 24.436 1.291 1934 8 22.667 -0.433 0 0 22.667 -0.433 22.936 1.265 1934 9 16.556 -2.741 0 0 16.556 -2.741 17.915 0.047 1934 10 11.000 -1.958 0 0 11.000 -1.958 12.752 1.222 1934 11 5.444 -0.564 0 0 5.444 -0.564 4.996 0.416 1934 12 1.389 -0.191 0 0 1.389 -0.191 1.181 1.029 1935 1 2.667 1.354 0 0 2.667 1.354 1.868 1.984 1935 2 3.444 -0.374 0 0 3.444 -0.374 2.323 -0.067 1935 3 9.111 1.695 0 0 9.111 1.695 6.444 0.456 1935 4 11.889 0.022 0 0 11.889 0.022 10.848 0.410 1935 5 NaN NaN NaN NaN NaN NaN 12.663 -2.757 1935 6 NaN NaN NaN NaN NaN NaN 20.778 0.062 1935 7 26.000 1.427 0 0 26.000 1.427 23.435 0.291 1935 8 25.333 2.234 0 0 25.333 2.234 21.757 0.086 1935 9 20.000 0.704 0 0 20.000 0.704 17.461 -0.406 1935 10 15.111 2.153 0 0 15.111 2.153 12.277 0.747 1935 11 6.333 0.325 0 0 6.333 0.325 4.397 -0.183 1935 12 1.722 0.142 0 0 1.722 0.142 0.292 0.140 1936 1 1.222 -0.090 0 0 1.222 -0.090 -0.316 -0.199 1936 2 5.611 1.793 0 0 5.611 1.793 3.105 0.716 1936 3 8.111 0.695 0 0 8.111 0.695 6.604 0.616 1936 4 NaN NaN NaN NaN NaN NaN 11.462 1.024 1936 5 NaN NaN NaN NaN NaN NaN 16.199 0.779 1936 6 NaN NaN NaN NaN NaN NaN 21.680 0.964 1936 7 25.556 0.982 0 0 25.556 0.982 23.335 0.190 1936 8 24.667 1.567 0 0 24.667 1.567 22.378 0.707 1936 9 19.500 0.204 0 0 19.500 0.204 17.474 -0.394 1936 10 13.500 0.542 0 0 13.500 0.542 11.241 -0.288 1936 11 5.667 -0.342 0 0 5.667 -0.342 4.185 -0.395 1936 12 1.667 0.086 0 0 1.667 0.086 0.829 0.678 1937 1 -1.222 -2.534 0 0 -1.222 -2.534 -3.801 -3.685 1937 2 4.056 0.237 0 0 4.056 0.237 1.905 -0.485 1937 3 8.278 0.861 0 0 8.278 0.861 4.400 -1.588 1937 4 14.111 2.245 0 0 14.111 2.245 10.676 0.238 1937 5 18.889 2.040 0 0 18.889 2.040 15.981 0.561 1937 6 22.778 0.633 0 0 22.778 0.633 20.247 -0.469 1937 7 25.556 0.982 0 0 25.556 0.982 23.313 0.168 1937 8 NaN NaN NaN NaN NaN NaN 22.976 1.305 1937 9 NaN NaN NaN NaN NaN NaN 19.013 1.146 1937 10 NaN NaN NaN NaN NaN NaN 12.594 1.065 1937 11 NaN NaN NaN NaN NaN NaN 5.851 1.271 1937 12 NaN NaN NaN NaN NaN NaN 1.711 1.559 1938 1 NaN NaN NaN NaN NaN NaN 0.863 0.980 1938 2 NaN NaN NaN NaN NaN NaN 3.222 0.832 1938 3 NaN NaN NaN NaN NaN NaN 6.409 0.421 1938 4 NaN NaN NaN NaN NaN NaN 10.525 0.087 1938 5 NaN NaN NaN NaN NaN NaN 14.671 -0.750 1938 6 NaN NaN NaN NaN NaN NaN 20.900 0.184 1938 7 NaN NaN NaN NaN NaN NaN 22.194 -0.951