% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38019 % Primary Name: KENDALL GREEN % Record Type: TAVG % Country: United States % State: MA % Latitude: 42.36670 +/- 0.00005 % Longitude: -71.28330 +/- 0.00005 % Elevation (m): 52.96 +/- 72.08 % # of Months: 54 % % Alternate Names: Missing Station ID - 193940 % % IDs: coop - 193940 % ghcnd - USC00193940 % ncdc - 12002427 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 562f5c5755f52d21f4fc0fa2604ba7f7 % Raw Data Hash: d547a48ec8a85413b875d4cd3c5ecdfc % Adj Data Hash: e73191bccd68383396fa71d2ed2bdc01 % % 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 1889 1 NaN NaN NaN NaN NaN NaN -2.272 3.472 1889 2 NaN NaN NaN NaN NaN NaN -7.276 -2.609 1889 3 NaN NaN NaN NaN NaN NaN 1.103 0.520 1889 4 NaN NaN NaN NaN NaN NaN 7.716 0.710 1889 5 NaN NaN NaN NaN NaN NaN 14.543 1.310 1889 6 NaN NaN NaN NaN NaN NaN 18.682 0.387 1889 7 NaN NaN NaN NaN NaN NaN 19.688 -1.299 1889 8 NaN NaN NaN NaN NaN NaN 17.871 -1.958 1889 9 NaN NaN NaN NaN NaN NaN 15.345 -0.087 1889 10 NaN NaN NaN NaN NaN NaN 6.737 -2.660 1889 11 NaN NaN NaN NaN NaN NaN 4.559 0.890 1889 12 NaN NaN NaN NaN NaN NaN -1.033 2.306 1890 1 -0.574 3.135 0 0 -0.574 3.135 -2.903 2.842 1890 2 0.180 2.812 0 0 0.180 2.812 -2.397 2.270 1890 3 0.857 -1.762 0 0 0.857 -1.762 -1.478 -2.061 1890 4 8.620 -0.421 0 0 8.620 -0.421 6.251 -0.755 1890 5 14.903 -0.366 0 0 14.903 -0.366 12.619 -0.614 1890 6 19.350 -0.981 0 0 19.350 -0.981 16.997 -1.298 1890 7 22.323 -0.700 0 0 22.323 -0.700 19.908 -1.079 1890 8 21.240 -0.624 0 0 21.240 -0.624 18.722 -1.106 1890 9 16.974 -0.493 0 0 16.974 -0.493 14.863 -0.569 1890 10 9.748 -1.685 0 0 9.748 -1.685 7.706 -1.691 1890 11 4.497 -1.208 0 0 4.497 -1.208 2.446 -1.222 1890 12 -4.184 -2.881 0 0 -4.184 -2.881 -7.944 -4.605 1891 1 -1.773 1.936 0 0 -1.773 1.936 -4.531 1.214 1891 2 -17.778 -15.146 1 0 NaN NaN -3.565 1.102 1891 3 1.080 -1.539 0 0 1.080 -1.539 -1.021 -1.604 1891 4 9.743 0.702 0 0 9.743 0.702 7.426 0.421 1891 5 13.265 -2.004 0 0 13.265 -2.004 11.938 -1.296 1891 6 19.380 -0.951 0 0 19.380 -0.951 17.406 -0.889 1891 7 21.458 -1.565 0 0 21.458 -1.565 18.712 -2.275 1891 8 21.424 -0.440 0 0 21.424 -0.440 19.611 -0.217 1891 9 18.528 1.061 0 0 18.528 1.061 17.027 1.595 1891 10 10.002 -1.432 0 0 10.002 -1.432 7.899 -1.498 1891 11 4.443 -1.261 0 0 4.443 -1.261 2.676 -0.993 1891 12 3.477 4.781 0 0 3.477 4.781 0.409 3.748 1892 1 -3.023 0.686 0 0 -3.023 0.686 -5.608 0.137 1892 2 -2.700 -0.069 0 0 -2.700 -0.069 -4.690 -0.023 1892 3 -0.581 -3.199 0 0 -0.581 -3.199 -1.887 -2.470 1892 4 8.495 -0.546 0 0 8.495 -0.546 6.668 -0.338 1892 5 14.233 -1.036 0 0 14.233 -1.036 11.756 -1.477 1892 6 21.970 1.639 0 0 21.970 1.639 19.636 1.341 1892 7 22.492 -0.531 0 0 22.492 -0.531 20.731 -0.256 1892 8 21.648 -0.216 0 0 21.648 -0.216 19.502 -0.327 1892 9 15.604 -1.864 0 0 15.604 -1.864 14.400 -1.032 1892 10 9.738 -1.695 0 0 9.738 -1.695 8.379 -1.018 1892 11 4.513 -1.191 0 0 4.513 -1.191 2.808 -0.861 1892 12 -2.431 -1.127 0 0 -2.431 -1.127 -5.351 -2.012 1893 1 -7.727 -4.018 0 0 -7.727 -4.018 -10.011 -4.266 1893 2 -4.679 -2.047 0 0 -4.679 -2.047 -6.301 -1.634 1893 3 -0.847 -3.465 1 0 NaN NaN -1.588 -2.171 1893 4 6.556 -2.486 0 0 6.556 -2.486 4.902 -2.104 1893 5 NaN NaN NaN NaN NaN NaN 12.433 -0.800 1893 6 NaN NaN NaN NaN NaN NaN 18.205 -0.090 1893 7 NaN NaN NaN NaN NaN NaN 19.858 -1.129 1893 8 20.556 -1.309 0 0 20.556 -1.309 19.427 -0.401 1893 9 14.648 -2.819 0 0 14.648 -2.819 12.676 -2.756 1893 10 11.559 0.126 0 0 11.559 0.126 10.091 0.693 1893 11 3.831 -1.873 0 0 3.831 -1.873 2.884 -0.785 1893 12 -3.065 -1.761 0 0 -3.065 -1.761 -5.172 -1.833 1894 1 -2.519 1.191 0 0 -2.519 1.191 -4.561 1.183 1894 2 -4.770 -2.138 0 0 -4.770 -2.138 -6.819 -2.152 1894 3 5.376 2.758 0 0 5.376 2.758 3.336 2.753 1894 4 7.778 -1.264 0 0 7.778 -1.264 7.065 0.059 1894 5 14.229 -1.039 0 0 14.229 -1.039 13.058 -0.175 1894 6 20.963 0.632 0 0 20.963 0.632 18.770 0.475 1894 7 23.907 0.884 0 0 23.907 0.884 21.586 0.598 1894 8 20.833 -1.031 1 0 NaN NaN 18.331 -1.498 1894 9 18.222 0.755 0 0 18.222 0.755 16.350 0.918 1894 10 NaN NaN NaN NaN NaN NaN 9.441 0.044 1894 11 NaN NaN NaN NaN NaN NaN 0.934 -2.735 1894 12 NaN NaN NaN NaN NaN NaN -4.306 -0.967 1895 1 NaN NaN NaN NaN NaN NaN -6.375 -0.630 1895 2 NaN NaN NaN NaN NaN NaN -8.280 -3.613 1895 3 NaN NaN NaN NaN NaN NaN -1.321 -1.904 1895 4 NaN NaN NaN NaN NaN NaN 6.433 -0.573 1895 5 NaN NaN NaN NaN NaN NaN 14.301 1.068 1895 6 NaN NaN NaN NaN NaN NaN 19.251 0.956 1895 7 NaN NaN NaN NaN NaN NaN 18.958 -2.029 1895 8 NaN NaN NaN NaN NaN NaN 19.355 -0.474 1895 9 NaN NaN NaN NaN NaN NaN 16.159 0.727