% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38912 % Primary Name: HILLSBORO % Record Type: TAVG % Country: United States % State: NH % Latitude: 43.15000 +/- 0.00005 % Longitude: -71.91670 +/- 0.00005 % Elevation (m): 247.50 +/- 0.15 % # of Months: 80 % % Alternate Names: Missing Station ID - 274059 % % IDs: coop - 274059 % ghcnd - USC00274059 % ncdc - 12010061 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 552ec702e7eb2b22b3ef008e37eee002 % Raw Data Hash: 9c889e1955da69e431693ca25e53e03c % Adj Data Hash: 0ad47c6acd94e08796018b1ff7d9ac00 % % 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 1935 12 NaN NaN NaN NaN NaN NaN -6.020 -2.681 1936 1 NaN NaN NaN NaN NaN NaN -6.166 -0.422 1936 2 NaN NaN NaN NaN NaN NaN -8.784 -4.117 1936 3 NaN NaN NaN NaN NaN NaN 3.806 3.223 1936 4 NaN NaN NaN NaN NaN NaN 5.650 -1.355 1936 5 NaN NaN NaN NaN NaN NaN 14.607 1.374 1936 6 NaN NaN NaN NaN NaN NaN 17.960 -0.335 1936 7 NaN NaN NaN NaN NaN NaN 20.180 -0.807 1936 8 NaN NaN NaN NaN NaN NaN 19.709 -0.120 1936 9 NaN NaN NaN NaN NaN NaN 15.352 -0.080 1936 10 NaN NaN NaN NaN NaN NaN 9.244 -0.154 1936 11 NaN NaN NaN NaN NaN NaN 1.547 -2.122 1936 12 -2.889 1.237 0 0 -2.889 1.237 -2.044 1.295 1937 1 -1.778 4.754 0 0 -1.778 4.754 -0.881 4.864 1937 2 -2.778 2.676 0 0 -2.778 2.676 -2.328 2.339 1937 3 -2.889 -2.685 0 0 -2.889 -2.685 -1.646 -2.229 1937 4 4.641 -1.577 0 0 4.641 -1.577 5.908 -1.098 1937 5 13.109 0.663 0 0 13.109 0.663 13.861 0.628 1937 6 17.735 0.227 0 0 17.735 0.227 18.236 -0.059 1937 7 20.831 0.630 0 0 20.831 0.630 21.289 0.302 1937 8 21.658 2.616 0 0 21.658 2.616 22.051 2.223 1937 9 14.748 0.104 0 0 14.748 0.104 14.715 -0.716 1937 10 8.889 0.278 0 0 8.889 0.278 8.528 -0.870 1937 11 2.667 -0.215 0 0 2.667 -0.215 3.913 0.244 1937 12 -4.667 -0.541 0 0 -4.667 -0.541 -4.448 -1.109 1938 1 -7.381 -0.849 0 0 -7.381 -0.849 -6.341 -0.596 1938 2 -3.556 1.898 0 0 -3.556 1.898 -3.205 1.462 1938 3 0.778 0.982 0 0 0.778 0.982 2.024 1.441 1938 4 7.778 1.559 0 0 7.778 1.559 8.418 1.412 1938 5 11.000 -1.446 0 0 11.000 -1.446 11.969 -1.264 1938 6 18.111 0.603 0 0 18.111 0.603 18.418 0.123 1938 7 20.333 0.133 0 0 20.333 0.133 20.980 -0.007 1938 8 20.778 1.736 0 0 20.778 1.736 21.263 1.434 1938 9 13.111 -1.534 0 0 13.111 -1.534 13.991 -1.441 1938 10 10.389 1.778 0 0 10.389 1.778 10.967 1.569 1938 11 4.111 1.229 0 0 4.111 1.229 5.092 1.424 1938 12 -3.889 0.237 0 0 -3.889 0.237 -2.973 0.366 1939 1 -7.056 -0.524 0 0 -7.056 -0.524 -5.630 0.115 1939 2 -5.667 -0.213 0 0 -5.667 -0.213 -3.736 0.931 1939 3 -3.611 -3.407 0 0 -3.611 -3.407 -1.833 -2.415 1939 4 3.111 -3.108 0 0 3.111 -3.108 4.756 -2.250 1939 5 12.444 -0.002 0 0 12.444 -0.002 13.454 0.221 1939 6 18.000 0.492 0 0 18.000 0.492 18.014 -0.281 1939 7 20.333 0.133 0 0 20.333 0.133 20.816 -0.172 1939 8 21.222 2.180 0 0 21.222 2.180 21.592 1.763 1939 9 14.889 0.244 0 0 14.889 0.244 15.413 -0.019 1939 10 8.889 0.278 0 0 8.889 0.278 9.270 -0.127 1939 11 0.944 -1.937 0 0 0.944 -1.937 2.083 -1.586 1939 12 -3.778 0.348 0 0 -3.778 0.348 -3.500 -0.161 1940 1 -9.667 -3.135 0 0 -9.667 -3.135 -8.965 -3.220 1940 2 -5.667 -0.213 0 0 -5.667 -0.213 -4.887 -0.220 1940 3 -3.611 -3.407 0 0 -3.611 -3.407 -2.173 -2.756 1940 4 3.333 -2.885 0 0 3.333 -2.885 4.647 -2.359 1940 5 12.278 -0.168 0 0 12.278 -0.168 12.663 -0.570 1940 6 16.278 -1.230 0 0 16.278 -1.230 17.051 -1.244 1940 7 20.111 -0.089 0 0 20.111 -0.089 20.801 -0.186 1940 8 18.333 -0.708 0 0 18.333 -0.708 18.537 -1.291 1940 9 14.333 -0.311 0 0 14.333 -0.311 14.602 -0.830 1940 10 7.222 -1.388 0 0 7.222 -1.388 7.144 -2.253 1940 11 2.778 -0.104 0 0 2.778 -0.104 3.648 -0.021 1940 12 -3.500 0.626 0 0 -3.500 0.626 -2.983 0.356 1941 1 -7.833 -1.302 0 0 -7.833 -1.302 -7.012 -1.267 1941 2 -5.722 -0.268 0 0 -5.722 -0.268 -4.815 -0.148 1941 3 -3.333 -3.129 0 0 -3.333 -3.129 -2.012 -2.595 1941 4 9.167 2.948 0 0 9.167 2.948 9.870 2.864 1941 5 13.333 0.887 0 0 13.333 0.887 13.847 0.613 1941 6 17.556 0.048 0 0 17.556 0.048 18.579 0.284 1941 7 20.222 0.022 0 0 20.222 0.022 21.057 0.070 1941 8 18.333 -0.708 0 0 18.333 -0.708 18.670 -1.158 1941 9 15.222 0.578 0 0 15.222 0.578 16.022 0.590 1941 10 9.333 0.723 0 0 9.333 0.723 9.981 0.583 1941 11 3.889 1.007 0 0 3.889 1.007 5.744 2.075 1941 12 -2.556 1.570 0 0 -2.556 1.570 -1.947 1.392 1942 1 -7.222 -0.691 0 0 -7.222 -0.691 -5.830 -0.086 1942 2 -7.333 -1.879 0 0 -7.333 -1.879 -6.041 -1.374 1942 3 1.556 1.760 0 0 1.556 1.760 2.780 2.197 1942 4 7.889 1.670 0 0 7.889 1.670 8.741 1.735 1942 5 14.333 1.887 0 0 14.333 1.887 15.132 1.899 1942 6 18.111 0.603 0 0 18.111 0.603 18.396 0.101 1942 7 19.556 -0.645 0 0 19.556 -0.645 20.463 -0.524 1942 8 18.778 -0.264 0 0 18.778 -0.264 19.268 -0.560 1942 9 15.444 0.800 0 0 15.444 0.800 15.780 0.348 1942 10 9.111 0.501 0 0 9.111 0.501 9.910 0.512 1942 11 2.056 -0.826 0 0 2.056 -0.826 3.820 0.151 1942 12 -6.556 -2.430 0 0 -6.556 -2.430 -5.968 -2.629 1943 1 -8.975 -2.443 1 0 NaN NaN -7.214 -1.470 1943 2 -6.118 -0.664 1 0 NaN NaN -4.802 -0.135 1943 3 -3.043 -2.839 0 0 -3.043 -2.839 -0.638 -1.220 1943 4 3.333 -2.885 0 0 3.333 -2.885 4.053 -2.953 1943 5 12.111 -0.335 0 0 12.111 -0.335 13.106 -0.127 1943 6 19.778 2.270 0 0 19.778 2.270 20.121 1.826 1943 7 21.333 1.133 0 0 21.333 1.133 21.399 0.412 1943 8 NaN NaN NaN NaN NaN NaN 19.341 -0.488 1943 9 NaN NaN NaN NaN NaN NaN 14.732 -0.700 1943 10 NaN NaN NaN NaN NaN NaN 9.433 0.036 1943 11 NaN NaN NaN NaN NaN NaN 3.254 -0.415 1943 12 NaN NaN NaN NaN NaN NaN -6.022 -2.683 1944 1 NaN NaN NaN NaN NaN NaN -4.646 1.099 1944 2 NaN NaN NaN NaN NaN NaN -5.392 -0.725 1944 3 NaN NaN NaN NaN NaN NaN -1.269 -1.852 1944 4 NaN NaN NaN NaN NaN NaN 5.109 -1.897 1944 5 NaN NaN NaN NaN NaN NaN 16.011 2.778 1944 6 NaN NaN NaN NaN NaN NaN 18.088 -0.207 1944 7 NaN NaN NaN NaN NaN NaN 21.658 0.671