% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36692 % Primary Name: YORKTOWN HEIGHTS % Record Type: TAVG % Country: United States % State: NY % Latitude: 41.26670 +/- 0.00005 % Longitude: -73.76670 +/- 0.00005 % Elevation (m): 128.00 +/- 0.05 % # of Months: 93 % % IDs: coop - 309660 % ghcnd - USC00309660 % ncdc - 20019519 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 30049880db8cf2978dcded6c8cdc8f45 % Raw Data Hash: 6523b286e944a02df403428abf1ff6cf % Adj Data Hash: 4e3cdd4f0180219c018e466267e257f1 % % 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 1 NaN NaN NaN NaN NaN NaN -3.873 -0.699 1941 2 NaN NaN NaN NaN NaN NaN -3.272 -1.203 1941 3 NaN NaN NaN NaN NaN NaN -0.217 -3.165 1941 4 NaN NaN NaN NaN NaN NaN 12.365 3.109 1941 5 NaN NaN NaN NaN NaN NaN 15.478 0.503 1941 6 NaN NaN NaN NaN NaN NaN 19.669 -0.238 1941 7 NaN NaN NaN NaN NaN NaN 22.391 -0.159 1941 8 NaN NaN NaN NaN NaN NaN 20.374 -1.283 1941 9 NaN NaN NaN NaN NaN NaN 18.319 0.732 1941 10 NaN NaN NaN NaN NaN NaN 13.082 1.775 1941 11 NaN NaN NaN NaN NaN NaN 7.326 1.755 1941 12 NaN NaN NaN NaN NaN NaN 0.534 1.359 1942 1 -3.722 0.097 0 0 -4.198 -0.378 -3.889 -0.716 1942 2 -3.222 -0.508 0 0 -3.698 -0.983 -3.456 -1.388 1942 3 4.944 2.643 0 0 4.469 2.167 4.443 1.495 1942 4 10.778 2.168 0 0 10.302 1.693 10.965 1.709 1942 5 16.278 1.949 0 0 15.802 1.473 16.501 1.526 1942 6 19.722 0.462 0 0 19.247 -0.013 19.756 -0.150 1942 7 21.889 -0.015 0 0 21.413 -0.490 22.426 -0.124 1942 8 20.556 -0.455 0 0 20.080 -0.930 20.685 -0.971 1942 9 17.222 0.282 0 0 16.747 -0.194 17.547 -0.040 1942 10 11.889 1.227 0 0 11.413 0.752 11.733 0.425 1942 11 5.444 0.519 0 0 4.969 0.044 5.971 0.400 1942 12 -2.889 -1.418 0 0 -3.364 -1.893 -3.492 -2.667 1943 1 -3.333 0.486 0 0 -3.809 0.011 -3.400 -0.227 1943 2 -2.167 0.548 0 0 -2.642 0.072 -2.018 0.051 1943 3 2.500 0.198 0 0 2.024 -0.277 2.381 -0.567 1943 4 5.889 -2.721 0 0 5.413 -3.196 6.282 -2.974 1943 5 14.944 0.615 0 0 14.469 0.140 15.228 0.253 1943 6 22.500 3.240 0 0 22.024 2.764 22.276 2.370 1943 7 22.111 0.207 0 0 21.636 -0.268 22.680 0.130 1943 8 21.333 0.323 0 0 20.858 -0.152 21.764 0.108 1943 9 16.944 0.004 0 0 16.469 -0.472 17.058 -0.528 1943 10 11.000 0.339 0 0 10.524 -0.137 10.600 -0.707 1943 11 4.056 -0.870 0 0 3.580 -1.345 4.712 -0.859 1943 12 -2.556 -1.084 0 0 -3.031 -1.560 -2.997 -2.172 1944 1 -1.556 2.264 0 0 -2.031 1.788 -1.759 1.414 1944 2 -2.000 0.714 0 0 -2.476 0.239 -2.143 -0.075 1944 3 1.111 -1.190 0 0 0.636 -1.666 1.124 -1.824 1944 4 7.333 -1.276 0 0 6.858 -1.752 7.594 -1.661 1944 5 16.429 2.100 1 0 NaN NaN 17.516 2.541 1944 6 20.236 0.976 1 0 NaN NaN 20.210 0.304 1944 7 22.389 0.485 0 0 21.913 0.010 23.328 0.778 1944 8 21.889 0.879 0 0 21.413 0.403 22.680 1.024 1944 9 17.889 0.948 0 0 17.413 0.473 18.176 0.589 1944 10 9.889 -0.773 0 0 9.413 -1.248 10.508 -0.799 1944 11 4.667 -0.259 0 0 4.191 -0.734 5.643 0.072 1944 12 -3.000 -1.529 0 0 -3.476 -2.004 -3.051 -2.226 1945 1 -6.611 -2.792 0 0 -7.087 -3.267 -6.742 -3.569 1945 2 -2.500 0.214 0 4 -2.203 0.512 -2.095 -0.027 1945 3 7.222 4.921 0 0 7.519 5.218 8.449 5.501 1945 4 11.500 2.890 0 0 11.797 3.188 11.701 2.446 1945 5 12.500 -1.829 0 0 12.797 -1.532 13.203 -1.772 1945 6 19.111 -0.149 0 0 19.408 0.148 19.378 -0.528 1945 7 21.111 -0.793 0 0 21.408 -0.495 21.929 -0.621 1945 8 20.111 -0.899 0 0 20.408 -0.602 20.844 -0.813 1945 9 18.111 1.171 0 0 18.408 1.468 19.191 1.604 1945 10 9.778 -0.884 0 0 10.075 -0.586 10.586 -0.721 1945 11 4.889 -0.036 0 0 5.186 0.261 6.533 0.962 1945 12 -4.944 -3.473 0 0 -4.647 -3.176 -3.956 -3.131 1946 1 NaN NaN NaN NaN NaN NaN -1.948 1.225 1946 2 NaN NaN NaN NaN NaN NaN -2.496 -0.428 1946 3 6.556 4.254 0 0 6.853 4.551 7.771 4.824 1946 4 7.333 -1.276 0 0 7.631 -0.979 8.943 -0.313 1946 5 13.444 -0.885 0 0 13.742 -0.587 14.425 -0.550 1946 6 17.889 -1.371 0 0 18.186 -1.074 18.891 -1.015 1946 7 21.000 -0.904 0 0 21.297 -0.606 22.085 -0.465 1946 8 18.167 -2.844 0 0 18.464 -2.546 19.483 -2.173 1946 9 NaN NaN NaN NaN NaN NaN 18.593 1.007 1946 10 NaN NaN NaN NaN NaN NaN 13.533 2.225 1946 11 6.889 1.964 0 0 7.186 2.261 8.143 2.572 1946 12 -0.635 0.836 0 0 -0.338 1.133 0.068 0.893 1947 1 -0.500 3.319 0 0 -0.203 3.617 0.017 3.190 1947 2 -4.167 -1.452 0 0 -3.869 -1.155 -3.936 -1.867 1947 3 0.667 -1.635 0 0 0.964 -1.338 1.269 -1.679 1947 4 7.889 -0.721 0 0 8.186 -0.423 8.986 -0.270 1947 5 13.333 -0.996 0 0 13.631 -0.699 14.205 -0.770 1947 6 17.500 -1.760 0 0 17.797 -1.463 18.448 -1.458 1947 7 21.333 -0.570 0 0 21.631 -0.273 22.116 -0.434 1947 8 21.667 0.656 0 0 21.964 0.954 22.750 1.094 1947 9 16.944 0.004 0 0 17.242 0.301 18.161 0.574 1947 10 13.389 2.727 0 0 13.686 3.025 14.302 2.995 1947 11 3.278 -1.647 0 0 3.575 -1.350 4.468 -1.103 1947 12 -3.000 -1.529 0 0 -2.703 -1.232 -2.191 -1.366 1948 1 -8.556 -4.736 0 0 -8.258 -4.439 -6.781 -3.608 1948 2 -5.722 -3.008 0 0 -5.425 -2.711 -4.093 -2.025 1948 3 2.111 -0.190 0 0 2.408 0.107 3.717 0.769 1948 4 8.667 0.057 0 0 8.964 0.354 9.570 0.315 1948 5 13.333 -0.996 0 0 13.631 -0.699 14.135 -0.840 1948 6 18.111 -1.149 0 0 18.408 -0.852 19.109 -0.797 1948 7 21.778 -0.126 0 0 22.075 0.171 22.739 0.189 1948 8 20.778 -0.232 0 0 21.075 0.065 21.852 0.196 1948 9 16.500 -0.440 0 0 16.797 -0.143 18.169 0.582 1948 10 9.833 -0.828 0 0 10.131 -0.531 10.642 -0.665 1948 11 7.389 2.464 0 0 7.686 2.761 8.997 3.426 1948 12 -0.889 0.582 0 0 -0.592 0.880 -0.441 0.384 1949 1 0.944 4.764 0 0 1.242 5.061 0.967 4.141 1949 2 0.722 3.437 0 0 1.019 3.734 1.058 3.127 1949 3 3.111 0.810 0 0 3.408 1.107 4.319 1.371 1949 4 9.389 0.779 0 0 9.686 1.077 10.153 0.898 1949 5 14.611 0.282 0 0 14.908 0.579 15.141 0.166 1949 6 19.056 -0.204 0 0 19.353 0.093 21.396 1.489 1949 7 23.222 1.319 0 0 23.519 1.616 24.549 1.999 1949 8 21.500 0.490 0 0 21.797 0.787 22.595 0.938 1949 9 15.056 -1.885 0 0 15.353 -1.588 16.415 -1.171 1949 10 13.167 2.505 0 0 13.464 2.802 14.056 2.749 1949 11 5.611 0.686 0 0 5.908 0.983 5.457 -0.114 1949 12 -0.722 0.749 0 0 -0.425 1.046 0.300 1.125 1950 1 1.722 5.542 0 0 2.019 5.839 2.192 5.366 1950 2 NaN NaN NaN NaN NaN NaN -2.773 -0.705 1950 3 NaN NaN NaN NaN NaN NaN 0.616 -2.332 1950 4 NaN NaN NaN NaN NaN NaN 7.643 -1.613 1950 5 NaN NaN NaN NaN NaN NaN 13.811 -1.164 1950 6 NaN NaN NaN NaN NaN NaN 19.085 -0.821 1950 7 NaN NaN NaN NaN NaN NaN 21.547 -1.003 1950 8 NaN NaN NaN NaN NaN NaN 20.845 -0.811 1950 9 NaN NaN NaN NaN NaN NaN 15.896 -1.690 1950 10 NaN NaN NaN NaN NaN NaN 12.718 1.411 1950 11 NaN NaN NaN NaN NaN NaN 6.987 1.416 1950 12 NaN NaN NaN NaN NaN NaN -2.152 -1.326 1951 1 NaN NaN NaN NaN NaN NaN -0.819 2.354