% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29072 % Primary Name: ROCHDALE % Record Type: TAVG % Country: United States % State: MS % Latitude: 34.08330 +/- 0.00005 % Longitude: -90.85000 +/- 0.00005 % Elevation (m): 46.36 +/- 10.00 % # of Months: 81 % % Alternate Names: Missing Station ID - 227527 % % IDs: coop - 227527 % ghcnd - USC00227527 % ncdc - 20011423 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d19d4ad6292e96de0bcf4687e6d9c3a5 % Raw Data Hash: 74d061f668b1e8db7fb5448a5771b4c7 % Adj Data Hash: 8e4ac484d6215dacc07d3e481bea608f % % 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 1937 5 NaN NaN NaN NaN NaN NaN 22.291 0.701 1937 6 NaN NaN NaN NaN NaN NaN 26.772 1.089 1937 7 NaN NaN NaN NaN NaN NaN 26.843 -0.728 1937 8 NaN NaN NaN NaN NaN NaN 27.684 0.895 1937 9 NaN NaN NaN NaN NaN NaN 22.922 -0.368 1937 10 NaN NaN NaN NaN NaN NaN 15.882 -1.143 1937 11 NaN NaN NaN NaN NaN NaN 9.538 -1.299 1937 12 NaN NaN NaN NaN NaN NaN 6.226 -0.105 1938 1 NaN NaN NaN NaN NaN NaN 5.598 1.115 1938 2 NaN NaN NaN NaN NaN NaN 10.520 3.682 1938 3 NaN NaN NaN NaN NaN NaN 15.645 4.310 1938 4 NaN NaN NaN NaN NaN NaN 17.200 0.173 1938 5 22.000 0.523 0 0 22.172 0.696 21.785 0.195 1938 6 NaN NaN NaN NaN NaN NaN 24.956 -0.727 1938 7 27.333 -0.123 0 0 27.506 0.049 28.241 0.670 1938 8 28.667 1.991 0 0 28.839 2.164 28.457 1.667 1938 9 24.000 0.823 0 0 24.172 0.996 24.558 1.267 1938 10 17.716 0.805 0 0 17.888 0.977 19.044 2.019 1938 11 10.402 -0.321 0 0 10.574 -0.149 10.973 0.136 1938 12 6.652 0.435 0 0 6.824 0.607 6.758 0.427 1939 1 8.000 3.631 0 0 8.172 3.803 7.232 2.749 1939 2 8.667 1.943 0 0 8.839 2.115 7.024 0.186 1939 3 13.667 2.446 0 0 13.839 2.618 13.045 1.710 1939 4 16.000 -0.913 0 0 16.172 -0.741 15.518 -1.509 1939 5 21.000 -0.477 0 0 21.172 -0.304 21.118 -0.473 1939 6 26.111 0.542 0 0 26.283 0.714 26.412 0.729 1939 7 27.278 -0.179 0 0 27.450 -0.007 27.906 0.335 1939 8 26.111 -0.564 0 0 26.283 -0.392 26.858 0.069 1939 9 25.111 1.935 0 0 25.283 2.107 26.501 3.210 1939 10 17.667 0.756 0 0 17.839 0.928 18.493 1.468 1939 11 9.222 -1.501 0 0 9.395 -1.329 9.625 -1.213 1939 12 7.333 1.116 0 0 7.506 1.289 7.955 1.625 1940 1 -1.889 -6.258 0 0 -1.717 -6.086 -2.508 -6.991 1940 2 5.333 -1.391 0 0 5.506 -1.218 5.211 -1.627 1940 3 11.452 0.231 0 0 11.624 0.403 11.099 -0.235 1940 4 15.778 -1.135 0 0 15.950 -0.963 15.916 -1.111 1940 5 19.111 -2.366 0 0 19.283 -2.193 19.564 -2.027 1940 6 23.778 -1.791 0 0 23.950 -1.619 24.803 -0.880 1940 7 24.889 -2.568 0 0 25.061 -2.396 25.965 -1.606 1940 8 25.333 -1.342 0 0 25.506 -1.170 25.656 -1.133 1940 9 21.333 -1.843 0 0 21.506 -1.671 22.053 -1.238 1940 10 16.715 -0.196 0 0 16.887 -0.024 18.215 1.190 1940 11 10.111 -0.612 0 0 10.283 -0.440 10.134 -0.704 1940 12 7.738 1.521 1 0 NaN NaN 8.617 2.286 1941 1 6.778 2.409 0 0 6.950 2.581 6.150 1.666 1941 2 5.319 -1.405 1 0 NaN NaN 4.702 -2.136 1941 3 8.444 -2.776 0 0 8.617 -2.604 8.621 -2.714 1941 4 16.935 0.022 0 0 17.107 0.194 18.103 1.076 1941 5 21.500 0.023 0 0 21.672 0.196 22.268 0.677 1941 6 24.500 -1.069 0 0 24.672 -0.897 25.643 -0.040 1941 7 26.556 -0.901 0 0 26.728 -0.729 27.610 0.039 1941 8 26.611 -0.064 0 0 26.783 0.108 27.267 0.478 1941 9 23.611 0.435 0 0 23.783 0.607 24.676 1.386 1941 10 20.667 3.756 0 0 20.839 3.928 20.688 3.663 1941 11 9.222 -1.501 0 0 9.395 -1.329 10.266 -0.571 1941 12 NaN NaN NaN NaN NaN NaN 7.683 1.352 1942 1 3.221 -1.148 0 0 3.393 -0.976 3.278 -1.205 1942 2 5.500 -1.224 0 0 5.672 -1.052 5.142 -1.696 1942 3 11.945 0.725 0 0 12.117 0.897 11.995 0.660 1942 4 NaN NaN NaN NaN NaN NaN 17.665 0.638 1942 5 NaN NaN NaN NaN NaN NaN 20.620 -0.970 1942 6 24.048 -1.521 1 0 NaN NaN 25.977 0.294 1942 7 28.000 0.543 0 0 28.172 0.715 27.911 0.340 1942 8 25.778 -0.897 0 0 25.950 -0.725 26.042 -0.748 1942 9 22.111 -1.065 0 4 21.876 -1.300 22.500 -0.790 1942 10 17.667 0.756 0 0 17.432 0.521 17.560 0.535 1942 11 13.778 3.055 0 0 13.543 2.820 13.062 2.225 1942 12 7.667 1.450 0 0 7.432 1.215 6.616 0.285 1943 1 6.889 2.520 0 0 6.654 2.285 5.308 0.825 1943 2 9.444 2.720 0 0 9.210 2.486 8.651 1.813 1943 3 9.778 -1.443 0 0 9.543 -1.678 8.579 -2.755 1943 4 17.778 0.865 0 0 17.543 0.630 17.524 0.497 1943 5 23.000 1.523 0 0 22.765 1.288 22.531 0.940 1943 6 27.333 1.764 0 0 27.098 1.529 27.673 1.990 1943 7 28.111 0.654 0 0 27.876 0.419 28.749 1.178 1943 8 28.722 2.047 0 0 28.487 1.812 29.216 2.427 1943 9 NaN NaN NaN NaN NaN NaN 22.160 -1.131 1943 10 15.778 -1.133 0 0 15.543 -1.368 16.368 -0.657 1943 11 9.722 -1.001 0 0 9.487 -1.236 9.954 -0.883 1943 12 NaN NaN NaN NaN NaN NaN 5.459 -0.872 1944 1 6.222 1.853 0 0 5.987 1.618 5.445 0.962 1944 2 10.333 3.609 0 0 10.098 3.374 9.356 2.518 1944 3 11.778 0.557 0 0 11.543 0.322 11.201 -0.134 1944 4 16.556 -0.357 0 0 16.321 -0.592 16.192 -0.835 1944 5 21.889 0.412 0 0 21.654 0.177 21.867 0.277 1944 6 26.778 1.209 0 0 26.543 0.974 27.322 1.639 1944 7 26.778 -0.679 0 0 26.543 -0.914 27.821 0.250 1944 8 26.778 0.103 0 0 26.543 -0.132 26.979 0.189 1944 9 23.278 0.101 0 0 23.043 -0.134 23.915 0.625 1944 10 16.778 -0.133 0 0 16.543 -0.368 17.536 0.511 1944 11 11.778 1.055 0 0 11.543 0.820 11.723 0.886 1944 12 4.556 -1.661 0 0 4.321 -1.896 3.860 -2.471 1945 1 5.333 0.964 0 0 5.098 0.729 4.576 0.093 1945 2 8.500 1.776 0 0 8.265 1.541 7.044 0.206 1945 3 16.333 5.113 0 0 16.098 4.878 15.443 4.109 1945 4 17.722 0.809 0 0 17.487 0.574 17.954 0.927 1945 5 19.778 -1.699 0 0 19.543 -1.934 19.531 -2.060 1945 6 24.889 -0.680 0 0 24.654 -0.915 25.151 -0.532 1945 7 26.000 -1.457 0 0 25.765 -1.692 26.398 -1.172 1945 8 NaN NaN NaN NaN NaN NaN 26.360 -0.429 1945 9 NaN NaN NaN NaN NaN NaN 24.127 0.837 1945 10 NaN NaN NaN NaN NaN NaN 16.228 -0.797 1945 11 NaN NaN NaN NaN NaN NaN 12.466 1.629 1945 12 NaN NaN NaN NaN NaN NaN 3.666 -2.665 1946 1 NaN NaN NaN NaN NaN NaN 5.108 0.625 1946 2 NaN NaN NaN NaN NaN NaN 8.731 1.893 1946 3 NaN NaN NaN NaN NaN NaN 14.540 3.205 1946 4 NaN NaN NaN NaN NaN NaN 18.868 1.840 1946 5 NaN NaN NaN NaN NaN NaN 19.734 -1.857 1946 6 NaN NaN NaN NaN NaN NaN 25.152 -0.531 1946 7 NaN NaN NaN NaN NaN NaN 27.232 -0.339