% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30593 % Primary Name: WOODBURY % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.70000 +/- 0.00005 % Longitude: -106.38330 +/- 0.00005 % Elevation (m): 2011.68 +/- 0.15 % # of Months: 27 % % Alternate Names: Missing Station ID - 299822 % % IDs: coop - 299822 % ghcnd - USC00299822 % ncdc - 30002546 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 924d503cfabd0b617a1478ccd98576fc % Raw Data Hash: d1428c7fc7b8f186cfce17838d7cae61 % Adj Data Hash: 3eb694d13ac3132ba6df5b427f9f5428 % % 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 1899 2 NaN NaN NaN NaN NaN NaN -4.146 -3.598 1899 3 NaN NaN NaN NaN NaN NaN 1.962 -0.282 1899 4 NaN NaN NaN NaN NaN NaN 7.501 1.030 1899 5 NaN NaN NaN NaN NaN NaN 10.735 -0.675 1899 6 NaN NaN NaN NaN NaN NaN 16.066 -0.317 1899 7 NaN NaN NaN NaN NaN NaN 18.194 -0.526 1899 8 NaN NaN NaN NaN NaN NaN 17.821 0.282 1899 9 NaN NaN NaN NaN NaN NaN 14.592 0.420 1899 10 NaN NaN NaN NaN NaN NaN 8.478 -0.320 1899 11 NaN NaN NaN NaN NaN NaN 3.334 0.860 1899 12 NaN NaN NaN NaN NaN NaN -0.783 0.557 1900 1 NaN NaN NaN NaN NaN NaN -0.157 2.176 1900 2 2.586 -1.287 0 0 2.586 -1.287 -1.173 -0.625 1900 3 8.746 2.080 0 0 8.746 2.080 3.548 1.304 1900 4 9.278 -1.614 0 0 9.278 -1.614 4.882 -1.589 1900 5 17.151 1.319 0 0 17.151 1.319 11.695 0.285 1900 6 23.074 2.270 0 0 23.074 2.270 16.705 0.322 1900 7 23.799 0.658 0 0 23.799 0.658 18.265 -0.456 1900 8 23.005 1.045 0 0 23.005 1.045 17.089 -0.450 1900 9 18.741 0.148 0 0 18.741 0.148 13.631 -0.541 1900 10 12.796 -0.423 0 0 12.796 -0.423 8.944 0.146 1900 11 6.407 -0.489 0 0 6.407 -0.489 3.450 0.975 1900 12 0.950 -2.131 0 0 0.950 -2.131 -1.178 0.163 1901 1 0.377 -1.711 0 0 0.377 -1.711 -1.484 0.849 1901 2 NaN NaN NaN NaN NaN NaN -1.040 -0.492 1901 3 6.861 0.196 1 0 NaN NaN 1.062 -1.182 1901 4 NaN NaN NaN NaN NaN NaN 5.716 -0.755 1901 5 NaN NaN NaN NaN NaN NaN 11.129 -0.281 1901 6 NaN NaN NaN NaN NaN NaN 16.030 -0.353 1901 7 6.111 -17.030 1 0 NaN NaN 19.042 0.321 1901 8 22.849 0.889 0 0 22.849 0.889 18.040 0.501 1901 9 19.204 0.611 0 0 19.204 0.611 13.781 -0.391 1901 10 12.989 -0.230 0 0 12.989 -0.230 9.434 0.637 1901 11 7.297 0.401 0 0 7.297 0.401 4.011 1.537 1901 12 1.585 -1.495 0 0 1.585 -1.495 -0.978 0.362 1902 1 1.755 -0.333 0 0 1.755 -0.333 -1.893 0.440 1902 2 4.139 0.266 0 0 4.139 0.266 0.090 0.638 1902 3 4.350 -2.315 0 0 4.350 -2.315 0.107 -2.137 1902 4 13.583 2.691 0 0 13.583 2.691 8.229 1.758 1902 5 16.334 0.503 0 0 16.334 0.503 11.842 0.432 1902 6 23.103 2.299 0 0 23.103 2.299 17.716 1.333 1902 7 23.050 -0.092 0 0 23.050 -0.092 17.332 -1.389 1902 8 23.239 1.279 0 0 23.239 1.279 17.771 0.232 1902 9 NaN NaN NaN NaN NaN NaN 13.429 -0.743 1902 10 NaN NaN NaN NaN NaN NaN 9.001 0.203 1902 11 NaN NaN NaN NaN NaN NaN 2.577 0.103 1902 12 NaN NaN NaN NaN NaN NaN -1.885 -0.544 1903 1 NaN NaN NaN NaN NaN NaN -2.438 -0.105 1903 2 NaN NaN NaN NaN NaN NaN -5.876 -5.328 1903 3 NaN NaN NaN NaN NaN NaN 1.403 -0.841 1903 4 NaN NaN NaN NaN NaN NaN 6.336 -0.135 1903 5 NaN NaN NaN NaN NaN NaN 9.843 -1.567 1903 6 NaN NaN NaN NaN NaN NaN 13.567 -2.816 1903 7 NaN NaN NaN NaN NaN NaN 18.324 -0.397 1903 8 NaN NaN NaN NaN NaN NaN 17.736 0.197