% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32083 % Primary Name: PAGOSA SPRINGS 6 WNW % Record Type: TAVG % Country: United States % State: CO % Latitude: 37.31140 +/- 0.00005 % Longitude: -107.11940 +/- 0.00005 % Elevation (m): 2370.12 +/- 0.15 % # of Months: 38 % % Alternate Names: Missing Station ID - 56263 % % IDs: coop - 56263 % ghcnd - USC00056263 % ncdc - 30015557 % nws - PSSC2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 0e988839215303a0f38fcc988e6ef87b % Raw Data Hash: a39835eae94a5b16855a26ff357ea2af % Adj Data Hash: 5be27209bc4ad9dfc8d9ee718f3bd3c1 % % 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 2009 10 NaN NaN NaN NaN NaN NaN 4.610 -1.701 2009 11 NaN NaN NaN NaN NaN NaN 1.785 2.231 2009 12 NaN NaN NaN NaN NaN NaN -7.881 -2.610 2010 1 NaN NaN NaN NaN NaN NaN -5.219 1.132 2010 2 NaN NaN NaN NaN NaN NaN -5.452 -1.149 2010 3 NaN NaN NaN NaN NaN NaN -1.656 -0.371 2010 4 NaN NaN NaN NaN NaN NaN 3.082 -0.173 2010 5 NaN NaN NaN NaN NaN NaN 7.285 -1.198 2010 6 NaN NaN NaN NaN NaN NaN 14.438 0.998 2010 7 NaN NaN NaN NaN NaN NaN 17.573 0.835 2010 8 NaN NaN NaN NaN NaN NaN 15.328 -0.164 2010 9 NaN NaN NaN NaN NaN NaN 13.718 1.939 2010 10 5.467 -0.829 1 0 NaN NaN 7.761 1.450 2010 11 -1.826 -1.365 0 0 -1.826 -1.365 -1.552 -1.107 2010 12 -1.722 3.565 0 0 -1.722 3.565 -1.574 3.697 2011 1 -7.944 -1.578 0 0 -7.944 -1.578 -6.128 0.223 2011 2 -7.333 -3.015 0 0 -7.333 -3.015 -5.688 -1.385 2011 3 1.056 2.357 0 0 1.056 2.357 0.531 1.816 2011 4 4.278 1.039 0 0 4.278 1.039 3.114 -0.141 2011 5 7.444 -1.023 0 0 7.444 -1.023 6.517 -1.966 2011 6 14.333 0.909 0 0 14.333 0.909 13.788 0.348 2011 7 19.167 2.445 0 0 19.167 2.445 17.757 1.019 2011 8 18.667 3.191 0 0 18.667 3.191 17.159 1.667 2011 9 13.167 1.404 0 0 13.167 1.404 12.590 0.812 2011 10 6.722 0.427 0 0 6.722 0.427 6.673 0.362 2011 11 -0.556 -0.094 0 0 -0.556 -0.094 -0.131 0.314 2011 12 -5.661 -0.374 0 0 -5.661 -0.374 -4.794 0.477 2012 1 -4.905 1.462 0 0 -4.905 1.462 -3.272 3.078 2012 2 -5.833 -1.514 0 0 -5.833 -1.514 -4.308 -0.005 2012 3 0.597 1.898 0 0 0.597 1.898 1.073 2.359 2012 4 6.522 3.283 0 0 6.522 3.283 5.695 2.440 2012 5 9.953 1.486 0 0 9.953 1.486 10.250 1.767 2012 6 16.502 3.077 0 0 16.502 3.077 16.541 3.101 2012 7 18.581 1.859 0 0 18.581 1.859 17.696 0.959 2012 8 18.035 2.560 0 0 18.035 2.560 16.737 1.245 2012 9 13.610 1.847 0 0 13.610 1.847 12.931 1.152 2012 10 6.495 0.199 0 0 6.495 0.199 7.781 1.469 2012 11 2.035 2.496 0 0 2.035 2.496 2.249 2.694 2012 12 -5.466 -0.179 0 0 -5.466 -0.179 -5.304 -0.033 2013 1 -8.826 -2.459 0 0 -8.826 -2.459 -7.227 -0.877 2013 2 -7.521 -3.203 0 0 -7.521 -3.203 -5.943 -1.641 2013 3 -0.394 0.908 0 0 -0.394 0.908 -0.049 1.237 2013 4 4.352 1.113 0 0 4.352 1.113 3.229 -0.026 2013 5 8.647 0.180 0 0 8.647 0.180 8.706 0.223 2013 6 15.753 2.329 0 0 15.753 2.329 15.824 2.384 2013 7 18.429 1.707 0 0 18.429 1.707 18.068 1.330 2013 8 17.040 1.564 0 0 17.040 1.564 15.725 0.233 2013 9 13.488 1.725 0 0 13.488 1.725 12.777 0.998 2013 10 4.094 -2.202 1 0 NaN NaN 5.097 -1.214 2013 11 0.962 1.424 1 0 NaN NaN NaN NaN