% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38689 % Primary Name: NORTH VILLAGE % Record Type: TAVG % Country: United States % State: NH % Latitude: 42.93330 +/- 0.00005 % Longitude: -71.91670 +/- 0.00005 % Elevation (m): 214.00 +/- 0.05 % # of Months: 60 % % IDs: coop - 276302 % ghcnd - USC00276302 % ncdc - 20018581 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a790a058e59162a21770a387142a131f % Raw Data Hash: 135cb0483d9fb0e0982d2a1785d40f16 % Adj Data Hash: a6c165bbd07fbab3ae7e69a4d381b4d1 % % 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 1941 8 NaN NaN NaN NaN NaN NaN 18.670 -1.158 1941 9 NaN NaN NaN NaN NaN NaN 16.022 0.590 1941 10 NaN NaN NaN NaN NaN NaN 9.981 0.583 1941 11 NaN NaN NaN NaN NaN NaN 5.744 2.075 1941 12 NaN NaN NaN NaN NaN NaN -1.947 1.392 1942 1 NaN NaN NaN NaN NaN NaN -5.830 -0.086 1942 2 NaN NaN NaN NaN NaN NaN -6.041 -1.374 1942 3 NaN NaN NaN NaN NaN NaN 2.780 2.197 1942 4 NaN NaN NaN NaN NaN NaN 8.741 1.735 1942 5 NaN NaN NaN NaN NaN NaN 15.132 1.899 1942 6 NaN NaN NaN NaN NaN NaN 18.396 0.101 1942 7 NaN NaN NaN NaN NaN NaN 20.463 -0.524 1942 8 17.889 -1.304 0 0 17.889 -1.304 19.268 -0.560 1942 9 15.111 0.316 0 0 15.111 0.316 15.780 0.348 1942 10 9.667 0.905 0 0 9.667 0.905 9.910 0.512 1942 11 3.389 0.356 0 0 3.389 0.356 3.820 0.151 1942 12 -5.833 -1.858 0 0 -5.833 -1.858 -5.968 -2.629 1943 1 -7.222 -0.841 0 0 -7.222 -0.841 -7.214 -1.470 1943 2 -4.111 1.192 0 0 -4.111 1.192 -4.802 -0.135 1943 3 -1.111 -1.058 0 0 -1.111 -1.058 -0.638 -1.220 1943 4 3.556 -2.814 0 0 3.556 -2.814 4.053 -2.953 1943 5 12.556 -0.041 0 0 12.556 -0.041 13.106 -0.127 1943 6 19.444 1.786 0 0 19.444 1.786 20.121 1.826 1943 7 20.667 0.316 0 0 20.667 0.316 21.399 0.412 1943 8 18.111 -1.081 0 0 18.111 -1.081 19.341 -0.488 1943 9 14.000 -0.795 0 0 14.000 -0.795 14.732 -0.700 1943 10 9.556 0.794 0 0 9.556 0.794 9.433 0.036 1943 11 2.389 -0.644 0 0 2.389 -0.644 3.254 -0.415 1943 12 NaN NaN NaN NaN NaN NaN -6.022 -2.683 1944 1 -4.550 1.831 0 0 -4.550 1.831 -4.646 1.099 1944 2 -5.307 -0.004 0 0 -5.307 -0.004 -5.392 -0.725 1944 3 -2.247 -2.193 0 0 -2.247 -2.193 -1.269 -1.852 1944 4 4.390 -1.979 0 0 4.390 -1.979 5.109 -1.897 1944 5 14.876 2.279 0 0 14.876 2.279 16.011 2.778 1944 6 17.345 -0.314 0 0 17.345 -0.314 18.088 -0.207 1944 7 20.424 0.073 0 0 20.424 0.073 21.658 0.671 1944 8 20.257 1.065 0 0 20.257 1.065 21.305 1.476 1944 9 15.700 0.905 0 0 15.700 0.905 16.162 0.730 1944 10 8.950 0.189 0 0 8.950 0.189 8.868 -0.530 1944 11 3.132 0.099 1 0 NaN NaN 3.765 0.097 1944 12 -5.006 -1.031 0 0 -5.006 -1.031 -5.328 -1.989 1945 1 -8.658 -2.277 0 0 -8.658 -2.277 -8.655 -2.910 1945 2 NaN NaN NaN NaN NaN NaN -4.752 -0.085 1945 3 5.168 5.221 0 0 5.168 5.221 5.722 5.140 1945 4 8.963 2.594 0 0 8.963 2.594 9.962 2.956 1945 5 9.819 -2.778 0 0 9.819 -2.778 11.416 -1.817 1945 6 17.528 -0.131 0 0 17.528 -0.131 17.903 -0.392 1945 7 20.393 0.042 0 0 20.393 0.042 20.829 -0.158 1945 8 18.328 -0.864 1 0 NaN NaN 19.430 -0.399 1945 9 15.274 0.479 1 0 NaN NaN 16.994 1.563 1945 10 NaN NaN NaN NaN NaN NaN 8.584 -0.813 1945 11 3.148 0.116 0 0 3.148 0.116 4.666 0.998 1945 12 -6.313 -2.338 0 0 -6.313 -2.338 -6.677 -3.338 1946 1 -5.823 0.558 0 0 -5.823 0.558 -5.640 0.105 1946 2 -7.054 -1.750 0 0 -7.054 -1.750 -6.447 -1.780 1946 3 5.237 5.291 0 0 5.237 5.291 6.020 5.437 1946 4 5.180 -1.189 0 0 5.180 -1.189 6.200 -0.806 1946 5 11.658 -0.939 0 0 11.658 -0.939 12.452 -0.781 1946 6 16.886 -0.772 1 0 NaN NaN 17.696 -0.599 1946 7 19.125 -1.226 1 0 NaN NaN 20.268 -0.719 1946 8 16.787 -2.405 0 0 16.787 -2.405 17.916 -1.913 1946 9 15.472 0.677 0 0 15.472 0.677 16.401 0.969 1946 10 10.618 1.856 0 0 10.618 1.856 11.329 1.932 1946 11 4.671 1.638 0 0 4.671 1.638 6.049 2.380 1946 12 -3.366 0.609 0 0 -3.366 0.609 -3.096 0.243 1947 1 -4.139 2.242 0 0 -4.139 2.242 -3.648 2.096 1947 2 -5.521 -0.218 0 0 -5.521 -0.218 -5.356 -0.689 1947 3 -1.134 -1.080 0 0 -1.134 -1.080 0.053 -0.530 1947 4 4.930 -1.439 0 0 4.930 -1.439 6.275 -0.730 1947 5 11.017 -1.580 0 0 11.017 -1.580 12.504 -0.729 1947 6 15.112 -2.546 1 0 NaN NaN 16.867 -1.428 1947 7 NaN NaN NaN NaN NaN NaN 21.771 0.784 1947 8 20.414 1.221 0 0 20.414 1.221 21.257 1.428 1947 9 NaN NaN NaN NaN NaN NaN 15.710 0.279 1947 10 12.608 3.847 0 0 12.608 3.847 12.869 3.471 1947 11 0.398 -2.635 0 0 0.398 -2.635 2.438 -1.231 1947 12 -5.828 -1.852 0 0 -5.828 -1.852 -5.478 -2.139 1948 1 NaN NaN NaN NaN NaN NaN -8.960 -3.215 1948 2 NaN NaN NaN NaN NaN NaN -7.344 -2.677 1948 3 NaN NaN NaN NaN NaN NaN 0.585 0.003 1948 4 NaN NaN NaN NaN NaN NaN 7.313 0.307 1948 5 NaN NaN NaN NaN NaN NaN 11.946 -1.287 1948 6 NaN NaN NaN NaN NaN NaN 16.560 -1.735 1948 7 NaN NaN NaN NaN NaN NaN 21.253 0.266 1948 8 NaN NaN NaN NaN NaN NaN 20.643 0.814 1948 9 NaN NaN NaN NaN NaN NaN 15.938 0.507 1948 10 NaN NaN NaN NaN NaN NaN 8.996 -0.402 1948 11 NaN NaN NaN NaN NaN NaN 7.148 3.479 1948 12 NaN NaN NaN NaN NaN NaN -2.074 1.265