% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26350 % Primary Name: PROVIDENT CITY % Record Type: TAVG % Country: United States % State: TX % Latitude: 29.28330 +/- 0.00005 % Longitude: -96.63330 +/- 0.00005 % Elevation (m): 46.00 +/- 0.05 % # of Months: 23 % % IDs: coop - 417299 % ghcnd - USC00417299 % ncdc - 20024355 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 745a96530695a3983585d5f3fb00bae4 % Raw Data Hash: 4addf82d21fe50546ffaa96320bcbcf5 % Adj Data Hash: 3baa75239b4e4de23c0de3ac65db8c5c % % 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 1943 10 NaN NaN NaN NaN NaN NaN 20.228 -1.011 1943 11 NaN NaN NaN NaN NaN NaN 14.723 -1.283 1943 12 NaN NaN NaN NaN NaN NaN 11.470 -0.841 1944 1 NaN NaN NaN NaN NaN NaN 10.556 -0.323 1944 2 NaN NaN NaN NaN NaN NaN 15.659 3.013 1944 3 NaN NaN NaN NaN NaN NaN 16.418 -0.081 1944 4 NaN NaN NaN NaN NaN NaN 20.841 0.219 1944 5 NaN NaN NaN NaN NaN NaN 22.988 -1.196 1944 6 NaN NaN NaN NaN NaN NaN 27.941 0.677 1944 7 NaN NaN NaN NaN NaN NaN 29.195 0.566 1944 8 NaN NaN NaN NaN NaN NaN 29.263 0.778 1944 9 NaN NaN NaN NaN NaN NaN 26.325 0.194 1944 10 20.111 -1.743 1 0 NaN NaN 20.994 -0.244 1944 11 15.990 -0.632 0 0 15.990 -0.632 16.539 0.533 1944 12 10.111 -2.816 1 0 NaN NaN 11.002 -1.309 1945 1 11.094 -0.401 0 0 11.094 -0.401 11.224 0.346 1945 2 NaN NaN NaN NaN NaN NaN 14.366 1.720 1945 3 NaN NaN NaN NaN NaN NaN 20.020 3.522 1945 4 NaN NaN NaN NaN NaN NaN 20.752 0.130 1945 5 NaN NaN NaN NaN NaN NaN 23.293 -0.892 1945 6 NaN NaN NaN NaN NaN NaN 27.628 0.364 1945 7 NaN NaN NaN NaN NaN NaN 28.471 -0.158 1945 8 NaN NaN NaN NaN NaN NaN 28.614 0.129 1945 9 NaN NaN NaN NaN NaN NaN 26.566 0.435 1945 10 NaN NaN NaN NaN NaN NaN 20.281 -0.957 1945 11 NaN NaN NaN NaN NaN NaN 18.771 2.765 1945 12 10.837 -2.090 0 0 10.837 -2.090 11.494 -0.817 1946 1 9.855 -1.640 0 0 9.855 -1.640 10.436 -0.442 1946 2 14.013 0.750 1 0 NaN NaN 13.352 0.705 1946 3 18.189 1.074 0 0 18.189 1.074 17.770 1.272 1946 4 22.050 0.811 0 0 22.050 0.811 21.737 1.115 1946 5 25.729 0.928 0 0 25.729 0.928 24.231 0.046 1946 6 27.085 -0.796 0 0 27.085 -0.796 26.230 -1.034 1946 7 30.326 1.080 0 0 30.326 1.080 28.161 -0.468 1946 8 29.669 0.568 0 0 29.669 0.568 28.496 0.011 1946 9 25.743 -1.004 0 0 25.743 -1.004 26.023 -0.108 1946 10 22.403 0.549 0 0 22.403 0.549 22.284 1.046 1946 11 16.038 -0.584 0 0 16.038 -0.584 16.932 0.926 1946 12 NaN NaN NaN NaN NaN NaN 14.404 2.093 1947 1 NaN NaN NaN NaN NaN NaN 10.426 -0.453 1947 2 9.043 -4.220 0 0 9.043 -4.220 9.112 -3.535 1947 3 13.466 -3.649 0 0 13.466 -3.649 13.401 -3.098 1947 4 20.606 -0.633 1 0 NaN NaN 20.765 0.142 1947 5 25.651 0.850 1 0 NaN NaN 24.019 -0.166 1947 6 29.804 1.923 0 0 29.804 1.923 27.796 0.531 1947 7 31.623 2.377 0 0 31.623 2.377 28.313 -0.316 1947 8 30.597 1.495 0 0 30.597 1.495 28.267 -0.218 1947 9 NaN NaN NaN NaN NaN NaN 26.622 0.491 1947 10 NaN NaN NaN NaN NaN NaN 24.260 3.022 1947 11 NaN NaN NaN NaN NaN NaN 14.879 -1.126 1947 12 NaN NaN NaN NaN NaN NaN 12.876 0.565 1948 1 NaN NaN NaN NaN NaN NaN 7.442 -3.436 1948 2 NaN NaN NaN NaN NaN NaN 11.755 -0.891 1948 3 NaN NaN NaN NaN NaN NaN 16.094 -0.405 1948 4 NaN NaN NaN NaN NaN NaN 22.149 1.527 1948 5 NaN NaN NaN NaN NaN NaN 24.810 0.626 1948 6 NaN NaN NaN NaN NaN NaN 28.390 1.125 1948 7 NaN NaN NaN NaN NaN NaN 29.230 0.601 1948 8 NaN NaN NaN NaN NaN NaN 29.720 1.235