% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29016 % Primary Name: HORSE MOUNTAIN % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.01670 +/- 0.00005 % Longitude: -108.10000 +/- 0.00005 % Elevation (m): 2410.10 +/- 0.05 % # of Months: 55 % % Alternate Names: HORSE MTN % % IDs: coop - 294127 % ghcnd - USC00294127 % ncdc - 20020456 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d4d945f15c1b6f704440f1bb981eaad2 % Raw Data Hash: 66602a33e1a46ea79726c4bc07b0291c % Adj Data Hash: 92595e54ed97588b35c7981145786355 % % 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 1951 11 NaN NaN NaN NaN NaN NaN 3.196 -0.257 1951 12 NaN NaN NaN NaN NaN NaN -1.076 -0.139 1952 1 NaN NaN NaN NaN NaN NaN 0.838 2.229 1952 2 NaN NaN NaN NaN NaN NaN 0.229 -0.660 1952 3 NaN NaN NaN NaN NaN NaN 0.792 -3.073 1952 4 NaN NaN NaN NaN NaN NaN 8.343 0.445 1952 5 NaN NaN NaN NaN NaN NaN 13.092 0.399 1952 6 NaN NaN NaN NaN NaN NaN 18.069 0.068 1952 7 NaN NaN NaN NaN NaN NaN 20.510 -0.519 1952 8 NaN NaN NaN NaN NaN NaN 20.084 0.503 1952 9 NaN NaN NaN NaN NaN NaN 16.673 0.501 1952 10 NaN NaN NaN NaN NaN NaN 11.788 1.697 1952 11 2.167 -1.331 0 0 2.167 -1.331 0.805 -2.649 1952 12 -0.389 0.504 0 0 -0.389 0.504 -1.622 -0.685 1953 1 3.222 4.569 0 0 3.222 4.569 1.899 3.290 1953 2 0.444 -0.489 0 0 0.444 -0.489 -0.154 -1.043 1953 3 4.833 0.924 0 0 4.833 0.924 4.489 0.623 1953 4 8.056 0.114 0 0 8.056 0.114 7.886 -0.011 1953 5 10.444 -2.293 0 0 10.444 -2.293 10.142 -2.551 1953 6 18.611 0.566 0 0 18.611 0.566 18.495 0.494 1953 7 19.722 -1.350 0 0 19.722 -1.350 21.662 0.633 1953 8 18.222 -1.403 0 0 18.222 -1.403 19.082 -0.498 1953 9 16.889 0.672 0 0 16.889 0.672 17.067 0.894 1953 10 10.000 -0.135 0 0 10.000 -0.135 10.272 0.181 1953 11 5.056 1.558 0 0 5.056 1.558 4.158 0.705 1953 12 -1.278 -0.385 0 0 -1.278 -0.385 -3.129 -2.192 1954 1 2.056 3.402 0 0 2.056 3.402 0.362 1.753 1954 2 3.944 3.011 0 0 3.944 3.011 3.433 2.544 1954 3 4.389 0.480 0 0 4.389 0.480 3.245 -0.620 1954 4 10.667 2.725 0 0 10.667 2.725 10.452 2.554 1954 5 13.111 0.374 0 0 13.111 0.374 13.388 0.695 1954 6 17.833 -0.212 0 0 17.833 -0.212 17.467 -0.534 1954 7 20.111 -0.962 0 0 20.111 -0.962 21.610 0.581 1954 8 17.500 -2.125 0 0 17.500 -2.125 18.852 -0.728 1954 9 16.611 0.394 0 0 16.611 0.394 17.356 1.183 1954 10 11.889 1.754 0 0 11.889 1.754 11.900 1.809 1954 11 6.167 2.669 0 0 6.167 2.669 5.454 2.000 1954 12 0.889 1.782 0 0 0.889 1.782 -0.687 0.251 1955 1 -2.444 -1.098 0 0 -2.444 -1.098 -3.020 -1.629 1955 2 -1.944 -2.878 0 0 -1.944 -2.878 -2.553 -3.442 1955 3 4.111 0.202 0 0 4.111 0.202 3.523 -0.342 1955 4 7.778 -0.164 0 0 7.778 -0.164 6.955 -0.943 1955 5 11.556 -1.182 0 0 11.556 -1.182 11.591 -1.102 1955 6 16.667 -1.378 0 0 16.667 -1.378 16.955 -1.046 1955 7 18.167 -2.906 0 0 18.167 -2.906 19.975 -1.054 1955 8 17.944 -1.680 0 0 17.944 -1.680 19.636 0.056 1955 9 16.444 0.228 0 0 16.444 0.228 17.001 0.828 1955 10 11.833 1.698 0 0 11.833 1.698 11.829 1.738 1955 11 5.167 1.669 0 0 5.167 1.669 4.225 0.771 1955 12 2.944 3.838 0 0 2.944 3.838 2.127 3.064 1956 1 2.667 4.013 0 0 2.667 4.013 2.413 3.803 1956 2 -1.833 -2.767 0 0 -1.833 -2.767 -2.404 -3.293 1956 3 5.833 1.924 0 0 5.833 1.924 4.360 0.495 1956 4 7.167 -0.775 1 0 NaN NaN 7.245 -0.653 1956 5 14.222 1.485 0 0 14.222 1.485 13.567 0.874 1956 6 19.167 1.122 0 0 19.167 1.122 19.688 1.687 1956 7 18.389 -2.684 0 0 18.389 -2.684 20.416 -0.613 1956 8 17.444 -2.180 0 0 17.444 -2.180 18.470 -1.110 1956 9 17.611 1.394 0 0 17.611 1.394 17.921 1.748 1956 10 11.333 1.198 0 0 11.333 1.198 10.924 0.833 1956 11 4.203 0.705 1 0 NaN NaN 0.853 -2.600 1956 12 NaN NaN NaN NaN NaN NaN -1.388 -0.450 1957 1 NaN NaN NaN NaN NaN NaN 1.365 2.756 1957 2 NaN NaN NaN NaN NaN NaN 5.441 4.552 1957 3 4.234 0.324 1 0 NaN NaN 4.314 0.449 1957 4 7.500 -0.442 1 0 NaN NaN 7.272 -0.625 1957 5 10.444 -2.293 0 0 10.444 -2.293 10.838 -1.855 1957 6 17.722 -0.323 0 0 17.722 -0.323 18.363 0.362 1957 7 19.278 -1.795 0 0 19.278 -1.795 21.209 0.180 1957 8 17.333 -2.291 0 0 17.333 -2.291 18.859 -0.722 1957 9 NaN NaN NaN NaN NaN NaN 16.080 -0.092 1957 10 NaN NaN NaN NaN NaN NaN 9.799 -0.292 1957 11 NaN NaN NaN NaN NaN NaN 1.948 -1.505 1957 12 NaN NaN NaN NaN NaN NaN 1.423 2.361 1958 1 NaN NaN NaN NaN NaN NaN -1.286 0.104 1958 2 NaN NaN NaN NaN NaN NaN 2.893 2.003 1958 3 NaN NaN NaN NaN NaN NaN 1.658 -2.207 1958 4 NaN NaN NaN NaN NaN NaN 7.300 -0.597 1958 5 NaN NaN NaN NaN NaN NaN 14.357 1.664 1958 6 NaN NaN NaN NaN NaN NaN 19.569 1.568 1958 7 NaN NaN NaN NaN NaN NaN 21.313 0.284 1958 8 NaN NaN NaN NaN NaN NaN 20.495 0.915