% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27988 % Primary Name: PORTERVILLE % Record Type: TAVG % Country: United States % State: MS % Latitude: 32.68330 +/- 0.00005 % Longitude: -88.46670 +/- 0.00005 % Elevation (m): 61.00 +/- 0.05 % # of Months: 134 % % IDs: coop - 227141 % ghcnd - USC00227141 % ncdc - 20011295 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 83148c4ae31f58d03ad635b37cd4043c % Raw Data Hash: aa2f4a3ad9ae6f99ba5d1decc05f6109 % Adj Data Hash: caa073d54487f12ff260fec7c885603e % % 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 1904 3 NaN NaN NaN NaN NaN NaN 14.664 1.928 1904 4 NaN NaN NaN NaN NaN NaN 15.316 -2.280 1904 5 NaN NaN NaN NaN NaN NaN 20.281 -1.427 1904 6 NaN NaN NaN NaN NaN NaN 25.476 -0.020 1904 7 NaN NaN NaN NaN NaN NaN 25.427 -1.693 1904 8 NaN NaN NaN NaN NaN NaN 25.688 -1.019 1904 9 NaN NaN NaN NaN NaN NaN 25.469 1.579 1904 10 NaN NaN NaN NaN NaN NaN 17.551 0.140 1904 11 NaN NaN NaN NaN NaN NaN 11.008 -0.935 1904 12 NaN NaN NaN NaN NaN NaN 7.716 -0.351 1905 1 NaN NaN NaN NaN NaN NaN 3.007 -3.585 1905 2 NaN NaN NaN NaN NaN NaN 2.504 -6.123 1905 3 15.778 2.517 0 0 16.060 2.800 15.137 2.400 1905 4 17.778 -0.342 0 0 17.931 -0.189 17.191 -0.405 1905 5 23.611 1.379 0 0 23.740 1.507 23.099 1.391 1905 6 25.889 -0.131 0 0 26.097 0.077 26.073 0.577 1905 7 26.222 -1.421 0 0 26.458 -1.186 25.849 -1.271 1905 8 26.444 -0.787 0 0 26.620 -0.611 26.338 -0.369 1905 9 24.444 0.031 0 0 24.586 0.172 24.699 0.809 1905 10 17.778 -0.157 0 0 17.943 0.009 17.046 -0.365 1905 11 13.667 1.200 0 0 13.843 1.377 13.317 1.374 1905 12 6.333 -2.257 0 0 6.522 -2.068 5.640 -2.426 1906 1 8.167 1.051 0 0 8.434 1.319 7.264 0.672 1906 2 7.000 -2.151 0 0 7.341 -1.810 6.429 -2.198 1906 3 10.833 -2.427 0 0 11.116 -2.145 10.142 -2.595 1906 4 18.111 -0.009 0 0 18.264 0.144 18.243 0.647 1906 5 20.556 -1.677 0 0 20.684 -1.548 20.411 -1.298 1906 6 26.167 0.147 0 0 26.375 0.355 26.096 0.600 1906 7 26.222 -1.421 0 0 26.458 -1.186 25.781 -1.339 1906 8 27.000 -0.231 0 0 27.175 -0.056 26.525 -0.182 1906 9 26.111 1.697 0 0 26.253 1.839 25.776 1.886 1906 10 16.000 -1.934 0 0 16.165 -1.769 15.438 -1.973 1906 11 13.222 0.756 0 0 13.399 0.932 13.266 1.323 1906 12 11.000 2.410 0 0 11.189 2.598 10.450 2.384 1907 1 13.000 5.884 0 0 13.268 6.152 12.051 5.459 1907 2 9.944 0.793 0 0 10.286 1.134 8.940 0.313 1907 3 18.667 5.406 0 0 18.949 5.689 18.259 5.522 1907 4 14.167 -3.954 0 0 14.320 -3.801 14.558 -3.039 1907 5 19.778 -2.454 0 0 19.906 -2.326 19.119 -2.589 1907 6 24.278 -1.742 0 0 24.486 -1.534 24.250 -1.246 1907 7 27.444 -0.199 0 0 27.680 0.037 27.183 0.064 1907 8 27.111 -0.120 0 0 27.286 0.055 27.141 0.434 1907 9 22.333 -2.081 0 0 22.475 -1.939 23.819 -0.071 1907 10 NaN NaN NaN NaN NaN NaN 16.841 -0.569 1907 11 NaN NaN NaN NaN NaN NaN 10.281 -1.661 1907 12 NaN NaN NaN NaN NaN NaN 8.005 -0.061 1908 1 6.500 -0.616 0 0 6.768 -0.348 6.124 -0.467 1908 2 7.556 -1.596 0 0 7.897 -1.254 6.714 -1.913 1908 3 17.444 4.184 0 0 17.727 4.466 16.778 4.042 1908 4 19.667 1.546 0 0 19.820 1.699 19.751 2.154 1908 5 22.111 -0.121 0 0 22.240 0.007 21.592 -0.116 1908 6 25.444 -0.575 0 0 25.653 -0.367 25.601 0.105 1908 7 26.556 -1.088 0 0 26.791 -0.852 26.477 -0.643 1908 8 26.278 -0.953 0 0 26.453 -0.778 26.058 -0.649 1908 9 23.889 -0.525 0 0 24.030 -0.383 24.199 0.309 1908 10 14.944 -2.990 0 0 15.110 -2.825 14.954 -2.457 1908 11 14.000 1.533 0 0 14.176 1.710 14.073 2.131 1908 12 10.556 1.965 0 0 10.744 2.154 10.022 1.955 1909 1 9.944 2.829 0 0 10.212 3.096 8.643 2.051 1909 2 11.056 1.904 0 4 10.885 1.734 9.564 0.937 1909 3 13.778 0.517 0 0 13.637 0.376 13.065 0.328 1909 4 17.444 -0.676 0 0 17.368 -0.752 17.341 -0.255 1909 5 20.500 -1.732 0 0 20.436 -1.796 19.774 -1.935 1909 6 25.556 -0.464 0 0 25.451 -0.569 25.584 0.088 1909 7 27.778 0.135 0 0 27.660 0.017 27.351 0.231 1909 8 NaN NaN NaN NaN NaN NaN 27.308 0.600 1909 9 23.333 -1.081 0 0 23.263 -1.151 24.321 0.431 1909 10 18.333 0.399 0 0 18.251 0.316 17.050 -0.361 1909 11 15.667 3.200 0 0 15.578 3.112 15.523 3.580 1909 12 5.667 -2.924 0 0 5.572 -3.018 4.583 -3.483 1910 1 8.778 1.662 0 0 8.644 1.528 7.065 0.474 1910 2 8.000 -1.151 0 0 7.829 -1.322 6.284 -2.344 1910 3 16.833 3.573 0 0 16.692 3.431 16.201 3.464 1910 4 17.111 -1.009 0 0 17.035 -1.086 16.499 -1.097 1910 5 21.222 -1.010 0 0 21.158 -1.074 20.030 -1.678 1910 6 24.389 -1.631 0 0 24.285 -1.735 24.120 -1.376 1910 7 26.667 -0.977 0 0 26.549 -1.094 26.055 -1.065 1910 8 27.111 -0.120 0 0 27.023 -0.208 26.618 -0.090 1910 9 25.833 1.419 0 0 25.763 1.349 25.841 1.951 1910 10 19.556 1.621 0 0 19.473 1.539 18.243 0.832 1910 11 11.778 -0.689 0 0 11.690 -0.777 11.196 -0.746 1910 12 7.000 -1.590 0 0 6.906 -1.685 6.419 -1.648 1911 1 11.778 4.662 0 0 11.644 4.528 10.114 3.522 1911 2 14.056 4.904 0 0 13.885 4.734 12.285 3.658 1911 3 15.722 2.462 0 0 15.581 2.320 14.534 1.797 1911 4 18.222 0.102 0 0 18.146 0.025 17.736 0.140 1911 5 22.667 0.435 0 0 22.602 0.370 22.220 0.511 1911 6 27.556 1.536 0 0 27.451 1.431 27.184 1.688 1911 7 26.000 -1.643 0 0 25.882 -1.761 25.464 -1.655 1911 8 26.444 -0.787 0 0 26.357 -0.874 25.931 -0.776 1911 9 27.611 3.197 0 0 27.540 3.127 27.333 3.443 1911 10 20.667 2.732 0 0 20.584 2.650 19.269 1.858 1911 11 10.556 -1.911 0 0 10.467 -1.999 9.852 -2.091 1911 12 9.944 1.354 0 0 9.850 1.260 9.377 1.310 1912 1 5.000 -2.116 0 0 4.866 -2.249 3.741 -2.851 1912 2 6.944 -2.207 0 0 6.774 -2.377 5.497 -3.130 1912 3 11.778 -1.483 0 0 11.637 -1.624 10.719 -2.018 1912 4 18.111 -0.009 0 0 18.035 -0.086 17.955 0.359 1912 5 22.611 0.379 0 0 22.547 0.315 21.726 0.017 1912 6 23.889 -2.131 0 0 23.785 -2.235 23.766 -1.730 1912 7 26.667 -0.977 0 0 26.549 -1.094 26.574 -0.545 1912 8 25.713 -1.518 1 0 NaN NaN 26.119 -0.588 1912 9 NaN NaN NaN NaN NaN NaN 25.052 1.162 1912 10 NaN NaN NaN NaN NaN NaN 18.423 1.012 1912 11 7.033 -5.433 1 0 NaN NaN 10.421 -1.522 1912 12 8.667 0.076 0 0 8.572 -0.018 7.920 -0.146 1913 1 12.333 5.218 0 0 12.200 5.084 10.320 3.728 1913 2 8.667 -0.484 0 0 8.496 -0.655 7.176 -1.452 1913 3 13.403 0.142 0 0 13.262 0.001 12.393 -0.344 1913 4 17.444 -0.676 0 0 17.368 -0.752 16.699 -0.897 1913 5 21.556 -0.677 0 0 21.491 -0.741 21.038 -0.670 1913 6 25.333 -0.687 0 0 25.229 -0.791 25.523 0.027 1913 7 27.444 -0.199 0 0 27.327 -0.316 27.209 0.089 1913 8 27.000 -0.231 0 0 26.912 -0.319 26.952 0.245 1913 9 23.056 -1.358 0 0 22.985 -1.429 23.407 -0.483 1913 10 16.833 -1.101 0 0 16.751 -1.184 15.870 -1.540 1913 11 14.111 1.645 0 0 14.023 1.556 14.107 2.165 1913 12 8.889 0.299 0 0 8.794 0.204 8.305 0.238 1914 1 9.944 2.829 0 0 9.811 2.695 8.416 1.824 1914 2 8.667 -0.484 0 0 8.496 -0.655 6.956 -1.672 1914 3 11.000 -2.261 0 0 10.859 -2.402 10.492 -2.245 1914 4 17.444 -0.676 0 0 17.368 -0.752 17.243 -0.353 1914 5 21.333 -0.899 0 0 21.269 -0.963 21.112 -0.596 1914 6 29.000 2.980 0 0 28.896 2.876 28.692 3.196 1914 7 28.111 0.468 0 0 27.993 0.350 27.756 0.636 1914 8 26.444 -0.787 0 0 26.357 -0.874 26.188 -0.520 1914 9 23.056 -1.358 0 0 22.985 -1.429 23.577 -0.313 1914 10 17.722 -0.212 0 0 17.640 -0.295 17.280 -0.130 1914 11 12.056 -0.411 0 0 11.967 -0.499 11.749 -0.193 1914 12 6.000 -2.590 0 0 5.906 -2.685 5.362 -2.704 1915 1 6.778 -0.338 0 0 6.644 -0.472 5.395 -1.197 1915 2 9.111 -0.040 0 0 8.941 -0.210 8.474 -0.154 1915 3 8.222 -5.038 0 0 8.081 -5.180 7.588 -5.149 1915 4 18.056 -0.065 0 0 17.979 -0.141 18.006 0.409 1915 5 23.167 0.935 0 0 23.102 0.870 22.514 0.805 1915 6 25.556 -0.464 0 0 25.451 -0.569 25.742 0.246 1915 7 26.889 -0.754 0 0 26.771 -0.872 26.654 -0.466 1915 8 26.667 -0.564 0 0 26.579 -0.652 25.760 -0.947 1915 9 25.333 0.919 0 0 25.263 0.849 25.197 1.307 1915 10 19.722 1.788 0 0 19.640 1.705 18.677 1.267 1915 11 14.333 1.867 0 0 14.245 1.779 13.472 1.530 1915 12 9.278 0.687 0 0 9.183 0.593 8.355 0.288 1916 1 10.778 3.662 0 0 10.644 3.528 9.900 3.309 1916 2 9.444 0.293 0 0 9.274 0.123 7.473 -1.155 1916 3 14.111 0.851 0 0 13.970 0.709 12.836 0.099 1916 4 17.111 -1.009 0 0 17.035 -1.086 16.535 -1.062 1916 5 22.444 0.212 0 0 22.380 0.148 22.235 0.526 1916 6 25.000 -1.020 0 0 24.896 -1.124 24.951 -0.545 1916 7 26.111 -1.532 0 0 25.993 -1.650 26.286 -0.834 1916 8 26.667 -0.564 0 0 26.579 -0.652 26.519 -0.189 1916 9 23.611 -0.803 0 0 23.540 -0.873 23.428 -0.462 1916 10 17.222 -0.712 0 0 17.140 -0.795 17.145 -0.266 1916 11 NaN NaN NaN NaN NaN NaN 11.933 -0.010 1916 12 NaN NaN NaN NaN NaN NaN 8.287 0.220 1917 1 NaN NaN NaN NaN NaN NaN 8.757 2.165 1917 2 NaN NaN NaN NaN NaN NaN 8.769 0.141 1917 3 NaN NaN NaN NaN NaN NaN 13.320 0.583 1917 4 NaN NaN NaN NaN NaN NaN 17.191 -0.405 1917 5 NaN NaN NaN NaN NaN NaN 18.433 -3.275 1917 6 NaN NaN NaN NaN NaN NaN 25.579 0.083 1917 7 NaN NaN NaN NaN NaN NaN 26.808 -0.312 1917 8 NaN NaN NaN NaN NaN NaN 25.682 -1.026 1917 9 NaN NaN NaN NaN NaN NaN 23.060 -0.830 1917 10 NaN NaN NaN NaN NaN NaN 13.833 -3.578