% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38124 % Primary Name: STUYVESANT 5 N % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.46080 +/- 0.00005 % Longitude: -73.75000 +/- 0.00005 % Elevation (m): 86.87 +/- 0.15 % # of Months: 92 % % Alternate Names: Missing Station ID - 308317 % % IDs: coop - 308317 % ghcnd - USC00308317 % ncdc - 30001086 % nws - STYN6 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a3a7e4eb974683e041509729a5569489 % Raw Data Hash: ed3587994d439696d6915876c496ca74 % Adj Data Hash: d4e6ebad0c0eb13d419683b851f60198 % % 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 1999 12 NaN NaN NaN NaN NaN NaN -1.598 1.838 2000 1 NaN NaN NaN NaN NaN NaN -7.085 -0.786 2000 2 NaN NaN NaN NaN NaN NaN -3.348 1.850 2000 3 NaN NaN NaN NaN NaN NaN 4.051 3.838 2000 4 NaN NaN NaN NaN NaN NaN 7.099 -0.076 2000 5 NaN NaN NaN NaN NaN NaN 14.205 0.745 2000 6 NaN NaN NaN NaN NaN NaN 18.193 -0.324 2000 7 NaN NaN NaN NaN NaN NaN 19.043 -2.045 2000 8 NaN NaN NaN NaN NaN NaN 19.434 -0.533 2000 9 NaN NaN NaN NaN NaN NaN 15.280 -0.368 2000 10 NaN NaN NaN NaN NaN NaN 9.626 0.186 2000 11 NaN NaN NaN NaN NaN NaN 3.877 0.327 2000 12 -4.889 -2.218 0 0 -4.748 -2.077 -6.195 -2.759 2001 1 -4.222 1.313 0 0 -4.081 1.453 -5.196 1.104 2001 2 NaN NaN NaN NaN NaN NaN -3.519 1.679 2001 3 -0.500 -1.478 0 0 -0.359 -1.337 -1.364 -1.577 2001 4 8.333 0.394 0 0 8.474 0.535 7.855 0.681 2001 5 15.111 0.886 0 0 15.252 1.027 14.367 0.907 2001 6 19.556 0.273 0 0 19.696 0.414 18.982 0.464 2001 7 20.111 -1.742 0 0 20.252 -1.601 19.576 -1.512 2001 8 22.611 1.880 0 0 22.752 2.021 21.954 1.987 2001 9 16.722 0.310 0 0 16.863 0.450 16.073 0.425 2001 10 11.389 1.184 0 0 11.530 1.325 10.683 1.242 2001 11 6.778 2.464 0 0 6.919 2.605 7.007 3.458 2001 12 2.111 4.782 0 0 2.252 4.923 0.742 4.178 2002 1 -0.278 5.257 0 0 -0.137 5.398 -1.335 4.964 2002 2 -0.111 4.322 0 0 0.030 4.463 -1.130 4.068 2002 3 2.056 1.078 0 0 2.196 1.219 1.754 1.541 2002 4 9.778 1.839 0 0 9.919 1.979 9.141 1.966 2002 5 11.889 -2.336 0 0 12.030 -2.195 11.674 -1.786 2002 6 19.167 -0.115 0 0 19.308 0.025 18.687 0.169 2002 7 22.222 0.370 0 0 22.363 0.510 22.230 1.142 2002 8 22.389 1.658 0 0 22.530 1.798 21.715 1.748 2002 9 18.111 1.698 0 0 18.252 1.839 17.620 1.972 2002 10 9.111 -1.094 0 0 9.252 -0.953 8.361 -1.079 2002 11 3.556 -0.759 0 0 3.696 -0.618 3.721 0.172 2002 12 -2.556 0.116 0 0 -2.415 0.257 -3.911 -0.476 2003 1 -8.333 -2.799 0 0 -8.192 -2.658 -9.445 -3.145 2003 2 -6.333 -1.900 0 0 -6.192 -1.759 -6.950 -1.753 2003 3 1.111 0.133 0 0 1.252 0.274 0.650 0.437 2003 4 6.444 -1.495 0 0 6.585 -1.354 6.290 -0.885 2003 5 NaN NaN NaN NaN NaN NaN 12.753 -0.707 2003 6 NaN NaN NaN NaN NaN NaN 17.916 -0.601 2003 7 21.556 -0.297 0 0 21.696 -0.156 21.277 0.189 2003 8 22.333 1.602 0 0 22.474 1.743 21.754 1.788 2003 9 16.944 0.532 0 0 17.085 0.673 16.487 0.839 2003 10 8.611 -1.594 0 0 8.752 -1.453 8.326 -1.114 2003 11 5.667 1.353 0 0 5.808 1.493 5.943 2.394 2003 12 -1.222 1.449 0 0 -1.081 1.590 -2.654 0.782 2004 1 -9.000 -3.465 0 0 -8.859 -3.324 -10.149 -3.849 2004 2 -4.444 -0.011 0 0 -4.304 0.130 -5.568 -0.370 2004 3 2.667 1.689 0 0 2.808 1.830 2.138 1.925 2004 4 8.389 0.450 0 0 8.530 0.591 8.105 0.931 2004 5 16.222 1.997 0 0 16.363 2.138 15.720 2.260 2004 6 18.222 -1.060 0 0 18.363 -0.919 17.592 -0.925 2004 7 21.000 -0.853 0 0 21.141 -0.712 20.599 -0.489 2004 8 20.722 -0.009 0 0 20.863 0.132 19.965 -0.002 2004 9 17.611 1.198 0 0 17.752 1.339 17.060 1.412 2004 10 10.000 -0.205 0 0 10.141 -0.064 9.390 -0.050 2004 11 4.722 0.408 0 0 4.863 0.549 4.826 1.276 2004 12 -2.389 0.282 0 0 -2.248 0.423 -3.317 0.119 2005 1 -6.444 -0.910 0 0 -6.304 -0.769 -7.470 -1.171 2005 2 -2.667 1.767 0 0 -2.526 1.907 -3.908 1.290 2005 3 -0.833 -1.811 0 0 -0.692 -1.670 -1.519 -1.733 2005 4 9.667 1.727 0 0 9.808 1.868 9.230 2.056 2005 5 11.889 -2.336 0 0 12.030 -2.195 11.311 -2.149 2005 6 21.833 2.551 0 0 21.974 2.692 21.247 2.729 2005 7 22.778 0.925 0 0 22.919 1.066 22.431 1.343 2005 8 22.889 2.158 0 0 23.030 2.298 22.205 2.238 2005 9 19.111 2.698 0 4 18.900 2.487 18.130 2.482 2005 10 11.222 1.017 0 0 11.011 0.806 10.167 0.726 2005 11 5.944 1.630 0 0 5.733 1.419 5.795 2.246 2005 12 -2.833 -0.162 0 0 -3.045 -0.373 -4.335 -0.899 2006 1 -0.111 5.424 0 0 -0.322 5.212 -1.216 5.083 2006 2 -2.056 2.378 0 0 -2.267 2.166 -3.539 1.659 2006 3 1.556 0.578 0 0 1.344 0.366 0.862 0.648 2006 4 9.333 1.394 0 0 9.122 1.183 8.708 1.534 2006 5 14.167 -0.058 0 0 13.955 -0.269 13.540 0.080 2006 6 19.444 0.162 0 0 19.233 -0.049 18.692 0.175 2006 7 23.222 1.370 0 0 23.011 1.158 22.691 1.603 2006 8 21.477 0.745 0 0 21.265 0.534 20.331 0.364 2006 9 16.445 0.032 0 0 16.234 -0.179 15.167 -0.481 2006 10 9.810 -0.395 0 0 9.598 -0.607 8.769 -0.671 2006 11 7.203 2.889 0 0 6.992 2.678 7.159 3.609 2006 12 2.724 5.395 0 0 2.513 5.184 1.371 4.807 2007 1 -1.829 3.706 0 0 -2.040 3.494 -3.115 3.184 2007 2 -6.514 -2.081 0 0 -6.726 -2.292 -8.068 -2.870 2007 3 -0.088 -1.066 0 0 -0.299 -1.277 -0.726 -0.939 2007 4 7.317 -0.623 1 0 NaN NaN 5.920 -1.255 2007 5 15.916 1.691 0 0 15.705 1.480 14.469 1.009 2007 6 20.645 1.363 0 0 20.434 1.152 19.363 0.845 2007 7 21.655 -0.198 0 0 21.444 -0.409 20.461 -0.627 2007 8 21.737 1.006 0 0 21.526 0.794 20.709 0.742 2007 9 18.203 1.791 0 0 17.992 1.579 17.183 1.535 2007 10 13.871 3.666 0 0 13.660 3.455 13.238 3.797 2007 11 3.605 -0.709 0 0 3.394 -0.920 3.516 -0.034 2007 12 -2.045 0.626 0 0 -2.257 0.415 -3.274 0.161 2008 1 -2.227 3.307 0 0 -2.439 3.096 -3.354 2.945 2008 2 -2.530 1.903 0 0 -2.742 1.692 -3.962 1.236 2008 3 0.756 -0.221 0 0 0.545 -0.433 -0.081 -0.294 2008 4 10.908 2.969 0 0 10.697 2.758 9.993 2.818 2008 5 12.810 -1.415 0 0 12.598 -1.626 11.804 -1.656 2008 6 21.163 1.881 0 0 20.952 1.670 20.003 1.486 2008 7 23.037 1.184 0 0 22.826 0.973 21.960 0.872 2008 8 20.145 -0.586 0 0 19.934 -0.798 19.114 -0.853 2008 9 17.857 1.444 0 0 17.645 1.233 16.867 1.219 2008 10 10.404 0.199 1 0 NaN NaN 8.452 -0.988 2008 11 NaN NaN NaN NaN NaN NaN 4.148 0.598 2008 12 NaN NaN NaN NaN NaN NaN -2.502 0.934 2009 1 NaN NaN NaN NaN NaN NaN -8.808 -2.509 2009 2 NaN NaN NaN NaN NaN NaN -3.718 1.480 2009 3 NaN NaN NaN NaN NaN NaN 1.531 1.317 2009 4 NaN NaN NaN NaN NaN NaN 9.011 1.836 2009 5 NaN NaN NaN NaN NaN NaN 13.548 0.088 2009 6 NaN NaN NaN NaN NaN NaN 17.782 -0.736 2009 7 NaN NaN NaN NaN NaN NaN 19.605 -1.483 2009 8 NaN NaN NaN NaN NaN NaN 21.069 1.103 2009 9 NaN NaN NaN NaN NaN NaN 15.239 -0.409 2009 10 NaN NaN NaN NaN NaN NaN 8.297 -1.143