% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30130 % Primary Name: LA MADERA SKI AREA % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.21670 +/- 0.00005 % Longitude: -106.41670 +/- 0.00005 % Elevation (m): 2439.90 +/- 0.05 % # of Months: 29 % % IDs: coop - 294652 % ghcnd - USC00294652 % ncdc - 20020613 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 165c0eaef253a8bb37f2ab335a34a511 % Raw Data Hash: d7980789a2a64433b2342ffc2b9e673d % Adj Data Hash: ccd569d377454489ab46bff55974a5b8 % % 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 1949 1 NaN NaN NaN NaN NaN NaN -3.023 -2.907 1949 2 NaN NaN NaN NaN NaN NaN 0.689 -1.701 1949 3 NaN NaN NaN NaN NaN NaN 6.058 0.070 1949 4 NaN NaN NaN NaN NaN NaN 10.413 -0.025 1949 5 NaN NaN NaN NaN NaN NaN 14.978 -0.443 1949 6 NaN NaN NaN NaN NaN NaN 20.350 -0.366 1949 7 NaN NaN NaN NaN NaN NaN 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 -2.278 2.114 0 0 -2.278 2.114 1.156 1.272 1950 2 1.000 2.886 0 0 1.000 2.886 4.398 2.008 1950 3 2.000 0.287 0 0 2.000 0.287 6.566 0.578 1950 4 7.056 0.893 0 0 7.056 0.893 12.002 1.564 1950 5 NaN NaN NaN NaN NaN NaN 14.912 -0.509 1950 6 16.333 -0.107 0 0 16.333 -0.107 21.276 0.560 1950 7 16.056 -2.814 0 0 16.056 -2.814 22.356 -0.789 1950 8 15.889 -1.507 0 0 15.889 -1.507 21.019 -0.652 1950 9 12.056 -1.537 0 0 12.056 -1.537 16.967 -0.901 1950 10 12.167 4.912 0 0 12.167 4.912 15.342 3.813 1950 11 5.500 5.195 0 0 5.500 5.195 6.367 1.787 1950 12 2.000 6.123 0 0 2.000 6.123 3.342 3.190 1951 1 -2.389 2.003 0 0 -2.389 2.003 0.613 0.730 1951 2 0.167 2.052 0 0 0.167 2.052 2.024 -0.366 1951 3 1.111 -0.602 0 0 1.111 -0.602 5.209 -0.779 1951 4 4.167 -1.996 0 0 4.167 -1.996 9.960 -0.478 1951 5 8.863 -2.282 1 0 NaN NaN 15.559 0.138 1951 6 15.389 -1.052 1 0 NaN NaN 20.126 -0.589 1951 7 19.300 0.431 1 0 NaN NaN 24.795 1.650 1951 8 16.278 -1.118 0 0 16.278 -1.118 21.870 0.199 1951 9 14.000 0.407 0 0 14.000 0.407 19.044 1.177 1951 10 8.111 0.857 0 0 8.111 0.857 12.013 0.483 1951 11 1.222 0.917 0 0 1.222 0.917 3.798 -0.782 1951 12 -3.500 0.623 0 0 -3.500 0.623 0.415 0.263 1952 1 -1.278 3.114 0 0 -1.278 3.114 2.450 2.567 1952 2 -3.500 -1.614 0 0 -3.500 -1.614 1.728 -0.662 1952 3 -1.611 -3.324 0 0 -1.611 -3.324 3.301 -2.687 1952 4 NaN NaN NaN NaN NaN NaN 10.395 -0.043 1952 5 NaN NaN NaN NaN NaN NaN 15.574 0.154 1952 6 16.389 -0.052 0 0 16.389 -0.052 21.809 1.093 1952 7 15.556 -3.314 0 0 15.556 -3.314 22.828 -0.317 1952 8 17.056 -0.340 0 0 17.056 -0.340 22.858 1.187 1952 9 NaN NaN NaN NaN NaN NaN 18.332 0.464 1952 10 NaN NaN NaN NaN NaN NaN 12.579 1.049 1952 11 NaN NaN NaN NaN NaN NaN 2.253 -2.328 1952 12 NaN NaN NaN NaN NaN NaN -0.737 -0.888 1953 1 NaN NaN NaN NaN NaN NaN 3.576 3.692 1953 2 NaN NaN NaN NaN NaN NaN 0.933 -1.457 1953 3 NaN NaN NaN NaN NaN NaN 6.774 0.786 1953 4 NaN NaN NaN NaN NaN NaN 10.075 -0.363 1953 5 NaN NaN NaN NaN NaN NaN 12.849 -2.571 1953 6 NaN NaN NaN NaN NaN NaN 21.875 1.159 1953 7 NaN NaN NaN NaN NaN NaN 23.703 0.558 1953 8 NaN NaN NaN NaN NaN NaN 21.480 -0.190