% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26238 % Primary Name: EAGLE PASS TEXAS AAF % Record Type: TAVG % Country: United States % State: TX % Latitude: 28.86600 +/- 0.00050 % Longitude: -100.51600 +/- 0.00050 % Elevation (m): 70.00 +/- 0.05 % # of Months: 32 % % IDs: gsod - 749155-99999 % icao - EGP % usaf - 749155 % % Sources: Global Summary of the Day % % Site Hash: 846772ad377cd2949fb7e7cd0b33de1a % Raw Data Hash: 9e3b856c453732762583ff3c20557b25 % Adj Data Hash: 0daf7bb3f1fbad214d099ecf6a824b22 % % 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 1941 10 NaN NaN NaN NaN NaN NaN 24.997 2.953 1941 11 NaN NaN NaN NaN NaN NaN 16.400 -0.026 1941 12 NaN NaN NaN NaN NaN NaN 13.431 0.800 1942 1 NaN NaN NaN NaN NaN NaN 10.950 -0.833 1942 2 NaN NaN NaN NaN NaN NaN 13.055 -1.266 1942 3 NaN NaN NaN NaN NaN NaN 17.548 -0.912 1942 4 NaN NaN NaN NaN NaN NaN 23.122 0.523 1942 5 NaN NaN NaN NaN NaN NaN 25.270 -0.558 1942 6 NaN NaN NaN NaN NaN NaN 29.737 0.971 1942 7 NaN NaN NaN NaN NaN NaN 28.612 -1.095 1942 8 NaN NaN NaN NaN NaN NaN 29.339 -0.006 1942 9 NaN NaN NaN NaN NaN NaN 24.614 -2.113 1942 10 22.336 0.600 1 0 NaN NaN 22.601 0.557 1942 11 17.976 1.857 0 0 17.976 1.857 18.200 1.775 1942 12 13.154 0.831 0 0 13.154 0.831 13.942 1.311 1943 1 11.104 -0.372 0 0 11.104 -0.372 11.384 -0.400 1943 2 15.625 1.611 0 0 15.625 1.611 16.014 1.693 1943 3 17.324 -0.829 0 0 17.324 -0.829 17.744 -0.716 1943 4 24.309 2.017 0 0 24.309 2.017 24.180 1.581 1943 5 27.201 1.680 0 0 27.201 1.680 26.808 0.980 1943 6 28.861 0.402 0 0 28.861 0.402 29.062 0.296 1943 7 30.296 0.896 0 0 30.296 0.896 30.394 0.687 1943 8 32.050 3.012 0 0 32.050 3.012 31.524 2.179 1943 9 25.320 -1.099 0 0 25.320 -1.099 25.429 -1.298 1943 10 20.434 -1.303 0 0 20.434 -1.303 20.688 -1.356 1943 11 15.211 -0.907 0 0 15.211 -0.907 15.692 -0.733 1943 12 10.088 -2.236 0 0 10.088 -2.236 10.710 -1.921 1944 1 10.391 -1.086 0 0 10.391 -1.086 10.891 -0.892 1944 2 15.653 1.639 1 0 NaN NaN 16.391 2.069 1944 3 17.738 -0.415 0 0 17.738 -0.415 18.823 0.363 1944 4 22.776 0.483 0 0 22.776 0.483 23.192 0.593 1944 5 24.794 -0.727 0 0 24.794 -0.727 25.155 -0.673 1944 6 28.828 0.369 0 0 28.828 0.369 29.155 0.390 1944 7 31.514 2.114 0 0 31.514 2.114 31.003 1.296 1944 8 30.263 1.226 0 0 30.263 1.226 29.976 0.631 1944 9 26.404 -0.016 0 0 26.404 -0.016 26.074 -0.652 1944 10 21.826 0.090 0 0 21.826 0.090 21.894 -0.150 1944 11 16.402 0.283 0 0 16.402 0.283 16.478 0.053 1944 12 10.167 -2.157 0 0 10.167 -2.157 11.201 -1.429 1945 1 12.289 0.812 0 0 12.289 0.812 13.121 1.338 1945 2 14.071 0.057 0 0 14.071 0.057 15.200 0.878 1945 3 19.810 1.657 0 0 19.810 1.657 20.694 2.233 1945 4 21.611 -0.681 0 0 21.611 -0.681 22.112 -0.488 1945 5 26.393 0.872 1 0 NaN NaN 26.328 0.500 1945 6 NaN NaN NaN NaN NaN NaN 30.450 1.684 1945 7 NaN NaN NaN NaN NaN NaN 30.496 0.789 1945 8 NaN NaN NaN NaN NaN NaN 30.770 1.425 1945 9 NaN NaN NaN NaN NaN NaN 27.868 1.142 1945 10 NaN NaN NaN NaN NaN NaN 21.355 -0.688 1945 11 NaN NaN NaN NaN NaN NaN 18.356 1.931 1945 12 NaN NaN NaN NaN NaN NaN 11.837 -0.794 1946 1 NaN NaN NaN NaN NaN NaN 10.808 -0.976 1946 2 NaN NaN NaN NaN NaN NaN 14.910 0.589 1946 3 NaN NaN NaN NaN NaN NaN 20.083 1.623 1946 4 NaN NaN NaN NaN NaN NaN 24.046 1.447 1946 5 NaN NaN NaN NaN NaN NaN 25.643 -0.185