% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27822 % Primary Name: RANGER % Record Type: TAVG % Country: United States % State: TX % Latitude: 32.46670 +/- 0.00005 % Longitude: -98.68330 +/- 0.00005 % Elevation (m): 435.90 +/- 0.05 % # of Months: 72 % % IDs: coop - 417425 % ghcnd - USC00417425 % ncdc - 20025360 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 54c922021c702869e8bae33184c1a552 % Raw Data Hash: a30540ba7682c29a665950f00908d3c8 % Adj Data Hash: a9a8e253f82d2361f10de5f9f8c81103 % % 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 1945 4 NaN NaN NaN NaN NaN NaN 16.365 -1.899 1945 5 NaN NaN NaN NaN NaN NaN 21.783 -0.668 1945 6 NaN NaN NaN NaN NaN NaN 26.481 -0.512 1945 7 NaN NaN NaN NaN NaN NaN 27.213 -2.113 1945 8 NaN NaN NaN NaN NaN NaN 28.333 -0.479 1945 9 NaN NaN NaN NaN NaN NaN 25.154 0.390 1945 10 NaN NaN NaN NaN NaN NaN 17.942 -0.784 1945 11 NaN NaN NaN NaN NaN NaN 14.045 2.058 1945 12 NaN NaN NaN NaN NaN NaN 6.231 -1.545 1946 1 NaN NaN NaN NaN NaN NaN 5.770 -0.105 1946 2 NaN NaN NaN NaN NaN NaN 10.312 1.792 1946 3 NaN NaN NaN NaN NaN NaN 14.782 1.894 1946 4 19.778 2.027 0 0 19.778 2.027 20.256 1.993 1946 5 21.111 -0.827 0 0 21.111 -0.827 21.082 -1.368 1946 6 25.111 -1.369 0 0 25.111 -1.369 26.324 -0.668 1946 7 28.667 -0.146 0 0 28.667 -0.146 29.901 0.576 1946 8 28.333 0.034 0 0 28.333 0.034 29.522 0.710 1946 9 22.556 -1.696 0 0 22.556 -1.696 23.616 -1.148 1946 10 19.389 1.176 0 0 19.389 1.176 19.976 1.251 1946 11 11.611 0.136 0 0 11.611 0.136 12.316 0.328 1946 12 9.500 2.237 0 0 9.500 2.237 10.268 2.493 1947 1 5.833 0.471 0 0 5.833 0.471 5.318 -0.557 1947 2 5.333 -2.674 0 0 5.333 -2.674 5.538 -2.982 1947 3 9.778 -2.597 0 0 9.778 -2.597 9.461 -3.427 1947 4 17.667 -0.084 0 0 17.667 -0.084 17.524 -0.740 1947 5 20.889 -1.049 0 0 20.889 -1.049 21.226 -1.224 1947 6 26.944 0.465 0 0 26.944 0.465 27.744 0.751 1947 7 29.000 0.187 0 0 29.000 0.187 29.246 -0.079 1947 8 29.111 0.812 0 0 29.111 0.812 29.865 1.053 1947 9 25.667 1.415 0 0 25.667 1.415 26.256 1.492 1947 10 22.167 3.954 0 0 22.167 3.954 22.572 3.847 1947 11 9.389 -2.086 0 0 9.389 -2.086 9.761 -2.226 1947 12 7.778 0.515 0 0 7.778 0.515 8.523 0.748 1948 1 2.444 -2.918 0 0 2.444 -2.918 2.836 -3.039 1948 2 6.500 -1.507 0 0 6.500 -1.507 6.320 -2.200 1948 3 10.500 -1.875 0 0 10.500 -1.875 10.483 -2.405 1948 4 21.000 3.249 0 0 21.000 3.249 21.328 3.064 1948 5 23.056 1.118 0 0 23.056 1.118 22.925 0.474 1948 6 27.500 1.020 0 0 27.500 1.020 28.160 1.168 1948 7 28.167 -0.646 0 0 28.167 -0.646 29.129 -0.196 1948 8 29.000 0.701 0 0 29.000 0.701 29.414 0.602 1948 9 23.667 -0.585 0 0 23.667 -0.585 24.484 -0.280 1948 10 18.333 0.121 0 0 18.333 0.121 18.127 -0.599 1948 11 10.944 -0.530 0 0 10.944 -0.530 11.677 -0.311 1948 12 9.000 1.737 0 0 9.000 1.737 10.073 2.297 1949 1 3.000 -2.362 0 0 3.000 -2.362 2.276 -3.599 1949 2 9.444 1.437 0 0 9.444 1.437 8.153 -0.367 1949 3 12.000 -0.375 0 0 12.000 -0.375 12.480 -0.408 1949 4 15.889 -1.862 0 0 15.889 -1.862 16.548 -1.716 1949 5 22.611 0.673 0 0 22.611 0.673 22.834 0.384 1949 6 25.500 -0.980 0 0 25.500 -0.980 26.932 -0.060 1949 7 28.000 -0.813 0 0 28.000 -0.813 29.591 0.266 1949 8 27.111 -1.188 0 0 27.111 -1.188 27.690 -1.122 1949 9 22.500 -1.751 0 0 22.500 -1.751 23.456 -1.308 1949 10 16.944 -1.268 0 0 16.944 -1.268 18.308 -0.418 1949 11 13.611 2.136 0 0 13.611 2.136 14.132 2.145 1949 12 8.111 0.848 0 0 8.111 0.848 9.243 1.468 1950 1 7.833 2.471 0 0 7.833 2.471 8.055 2.180 1950 2 9.889 1.882 0 0 9.889 1.882 10.746 2.226 1950 3 12.500 0.125 0 0 12.500 0.125 12.331 -0.557 1950 4 16.611 -1.140 0 0 16.611 -1.140 17.776 -0.488 1950 5 21.222 -0.716 0 0 21.222 -0.716 22.075 -0.375 1950 6 23.983 -2.496 1 0 NaN NaN 26.370 -0.622 1950 7 NaN NaN NaN NaN NaN NaN 26.963 -2.362 1950 8 25.857 -2.442 1 0 NaN NaN 26.995 -1.817 1950 9 21.706 -2.545 1 0 NaN NaN 23.478 -1.287 1950 10 19.944 1.732 0 0 19.944 1.732 21.622 2.897 1950 11 11.111 -0.364 0 0 11.111 -0.364 11.968 -0.019 1950 12 4.889 -2.374 0 0 4.889 -2.374 7.348 -0.428 1951 1 6.444 1.082 0 0 6.444 1.082 6.765 0.890 1951 2 7.000 -1.007 0 0 7.000 -1.007 8.919 0.399 1951 3 12.667 0.292 0 0 12.667 0.292 12.675 -0.213 1951 4 16.444 -1.307 0 0 16.444 -1.307 17.926 -0.338 1951 5 21.333 -0.605 0 0 21.333 -0.605 22.166 -0.284 1951 6 24.668 -1.812 1 0 NaN NaN 26.850 -0.142 1951 7 27.500 -1.313 0 0 27.500 -1.313 29.967 0.642 1951 8 29.944 1.645 0 0 29.944 1.645 31.052 2.240 1951 9 26.056 1.804 0 0 26.056 1.804 25.677 0.912 1951 10 21.556 3.343 0 0 21.556 3.343 20.501 1.776 1951 11 11.667 0.192 0 0 11.667 0.192 10.193 -1.794 1951 12 NaN NaN NaN NaN NaN NaN 9.283 1.508 1952 1 NaN NaN NaN NaN NaN NaN 10.597 4.722 1952 2 12.333 4.326 0 0 12.333 4.326 11.497 2.977 1952 3 13.611 1.236 0 0 13.611 1.236 12.156 -0.732 1952 4 NaN NaN NaN NaN NaN NaN 17.046 -1.217 1952 5 22.611 0.673 0 0 22.611 0.673 22.104 -0.346 1952 6 28.000 1.520 0 0 28.000 1.520 29.253 2.261 1952 7 28.667 -0.146 0 0 28.667 -0.146 29.473 0.148 1952 8 NaN NaN NaN NaN NaN NaN 32.336 3.524 1952 9 NaN NaN NaN NaN NaN NaN 24.912 0.147 1952 10 NaN NaN NaN NaN NaN NaN 17.352 -1.374 1952 11 NaN NaN NaN NaN NaN NaN 11.639 -0.349 1952 12 NaN NaN NaN NaN NaN NaN 7.354 -0.422 1953 1 NaN NaN NaN NaN NaN NaN 10.070 4.195 1953 2 NaN NaN NaN NaN NaN NaN 9.277 0.757 1953 3 NaN NaN NaN NaN NaN NaN 15.411 2.524 1953 4 NaN NaN NaN NaN NaN NaN 17.033 -1.230 1953 5 NaN NaN NaN NaN NaN NaN 22.035 -0.416 1953 6 NaN NaN NaN NaN NaN NaN 31.118 4.125 1953 7 NaN NaN NaN NaN NaN NaN 29.116 -0.210