% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26347 % Primary Name: STOCKDALE 4 N % Record Type: TAVG % Country: United States % State: TX % Latitude: 29.30043 +/- 0.02543 % Longitude: -97.96684 +/- 0.00851 % Elevation (m): 153.22 +/- 8.47 % # of Months: 51 % % Alternate Names: STOCKDALE % STOCKDALE 6N % % IDs: coop - 418658 % ghcnd - USC00418658 % ncdc - 20024343 % ncdc - 20024370 % nws - STTT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2bb877b4268f6943650957c0447d5fcc % Raw Data Hash: 0740fc3296c4edffba64191f49cf275f % Adj Data Hash: 465e02d8288601e4faab3bb64612cda9 % % 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 1939 12 NaN NaN NaN NaN NaN NaN 13.231 1.932 1940 1 NaN NaN NaN NaN NaN NaN 4.606 -5.166 1940 2 NaN NaN NaN NaN NaN NaN 11.493 -0.462 1940 3 NaN NaN NaN NaN NaN NaN 16.319 0.262 1940 4 NaN NaN NaN NaN NaN NaN 19.592 -0.709 1940 5 NaN NaN NaN NaN NaN NaN 23.512 -0.383 1940 6 NaN NaN NaN NaN NaN NaN 26.190 -1.229 1940 7 NaN NaN NaN NaN NaN NaN 28.125 -0.902 1940 8 NaN NaN NaN NaN NaN NaN 29.137 0.247 1940 9 NaN NaN NaN NaN NaN NaN 25.294 -0.756 1940 10 NaN NaN NaN NaN NaN NaN 21.328 0.507 1940 11 NaN NaN NaN NaN NaN NaN 14.179 -0.929 1940 12 13.839 1.575 0 0 13.839 1.575 12.482 1.183 1941 1 13.645 2.908 0 0 13.645 2.908 11.723 1.951 1941 2 11.880 -1.039 0 0 11.880 -1.039 10.198 -1.757 1941 3 14.002 -3.020 0 0 14.002 -3.020 12.758 -3.299 1941 4 20.302 -0.964 0 0 20.302 -0.964 19.548 -0.753 1941 5 23.834 -1.026 0 0 23.834 -1.026 23.575 -0.320 1941 6 26.734 -1.649 0 0 26.734 -1.649 26.732 -0.687 1941 7 28.290 -1.701 0 0 28.290 -1.701 28.495 -0.531 1941 8 28.382 -1.473 1 0 NaN NaN 29.049 0.158 1941 9 27.493 0.478 0 0 27.493 0.478 27.141 1.091 1941 10 24.726 2.939 0 0 24.726 2.939 23.535 2.713 1941 11 15.293 -0.780 0 0 15.293 -0.780 14.154 -0.955 1941 12 13.544 1.280 0 0 13.544 1.280 12.388 1.089 1942 1 10.523 -0.215 0 0 10.523 -0.215 8.661 -1.112 1942 2 12.673 -0.246 0 0 12.673 -0.246 10.839 -1.116 1942 3 17.121 0.099 0 0 17.121 0.099 15.422 -0.635 1942 4 21.103 -0.162 0 0 21.103 -0.162 20.017 -0.284 1942 5 24.776 -0.084 0 0 24.776 -0.084 23.499 -0.396 1942 6 28.735 0.352 0 0 28.735 0.352 28.167 0.748 1942 7 27.511 -2.480 0 0 27.511 -2.480 27.444 -1.583 1942 8 28.016 -1.839 0 0 28.016 -1.839 28.326 -0.564 1942 9 24.803 -2.212 0 0 24.803 -2.212 24.551 -1.499 1942 10 21.052 -0.735 0 0 21.052 -0.735 20.791 -0.031 1942 11 17.488 1.415 0 0 17.488 1.415 17.127 2.019 1942 12 13.147 0.883 0 0 13.147 0.883 12.821 1.522 1943 1 10.192 -0.545 0 0 10.192 -0.545 9.749 -0.023 1943 2 15.672 2.753 0 0 15.672 2.753 14.408 2.454 1943 3 14.789 -2.233 0 0 14.789 -2.233 14.237 -1.820 1943 4 22.711 1.446 0 0 22.711 1.446 22.004 1.703 1943 5 26.350 1.490 0 0 26.350 1.490 24.899 1.004 1943 6 28.154 -0.230 0 0 28.154 -0.230 27.636 0.217 1943 7 29.483 -0.508 0 0 29.483 -0.508 28.742 -0.285 1943 8 30.780 0.925 0 0 30.780 0.925 29.980 1.090 1943 9 25.410 -1.605 0 0 25.410 -1.605 24.736 -1.314 1943 10 20.255 -1.532 0 0 20.255 -1.532 19.750 -1.071 1943 11 15.205 -0.868 0 0 15.205 -0.868 13.832 -1.276 1943 12 NaN NaN NaN NaN NaN NaN 10.116 -1.183 1944 1 10.833 0.096 0 0 10.833 0.096 9.306 -0.467 1944 2 15.399 2.480 0 0 15.399 2.480 13.801 1.846 1944 3 16.804 -0.218 0 0 16.804 -0.218 15.420 -0.637 1944 4 21.180 -0.085 0 0 21.180 -0.085 20.132 -0.169 1944 5 23.002 -1.858 0 0 23.002 -1.858 22.118 -1.777 1944 6 28.313 -0.070 0 0 28.313 -0.070 27.575 0.157 1944 7 30.823 0.832 0 0 30.823 0.832 29.255 0.228 1944 8 30.305 0.450 0 0 30.305 0.450 29.224 0.334 1944 9 26.033 -0.983 0 0 26.033 -0.983 25.553 -0.498 1944 10 21.187 -0.600 0 0 21.187 -0.600 20.521 -0.301 1944 11 18.201 2.128 1 0 NaN NaN 15.493 0.384 1944 12 10.313 -1.951 0 0 10.313 -1.951 9.729 -1.570 1945 1 11.673 0.936 0 0 11.673 0.936 10.370 0.597 1945 2 14.452 1.533 0 0 14.452 1.533 12.700 0.745 1945 3 22.768 5.746 0 0 22.768 5.746 19.274 3.217 1945 4 NaN NaN NaN NaN NaN NaN 19.503 -0.798 1945 5 NaN NaN NaN NaN NaN NaN 23.391 -0.504 1945 6 NaN NaN NaN NaN NaN NaN 27.866 0.448 1945 7 NaN NaN NaN NaN NaN NaN 28.658 -0.369 1945 8 NaN NaN NaN NaN NaN NaN 29.067 0.177 1945 9 NaN NaN NaN NaN NaN NaN 26.543 0.492 1945 10 NaN NaN NaN NaN NaN NaN 19.730 -1.091 1945 11 NaN NaN NaN NaN NaN NaN 17.607 2.498 1945 12 NaN NaN NaN NaN NaN NaN 10.656 -0.643 1946 1 NaN NaN NaN NaN NaN NaN 9.080 -0.692 1946 2 NaN NaN NaN NaN NaN NaN 12.506 0.552 1946 3 NaN NaN NaN NaN NaN NaN 17.099 1.042