% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 163419 % Primary Name: BEAR MOUNTAIN WB % Record Type: TAVG % Country: United States % State: NY % Latitude: 41.31670 +/- 0.00005 % Longitude: -74.00000 +/- 0.00005 % Elevation (m): 396.80 +/- 0.05 % # of Months: 65 % % Alternate Names: BEAR MTN WB % % IDs: coop - 300489 % ghcnd - USW00014797 % gsod - 999999-14797 % ncdc - 20019527 % wban - 14797 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ecfc074c16aa0e141d374f60374e6fc3 % Raw Data Hash: f267699e86a63e76ddf6d13f6f1ecccf % Adj Data Hash: 0dad503f0526dc418038db75efe544b5 % % 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 1947 1 NaN NaN NaN NaN NaN NaN 0.017 3.190 1947 2 NaN NaN NaN NaN NaN NaN -3.936 -1.867 1947 3 NaN NaN NaN NaN NaN NaN 1.269 -1.679 1947 4 NaN NaN NaN NaN NaN NaN 8.986 -0.270 1947 5 NaN NaN NaN NaN NaN NaN 14.205 -0.770 1947 6 NaN NaN NaN NaN NaN NaN 18.448 -1.458 1947 7 NaN NaN NaN NaN NaN NaN 22.116 -0.434 1947 8 NaN NaN NaN NaN NaN NaN 22.750 1.094 1947 9 NaN NaN NaN NaN NaN NaN 18.161 0.574 1947 10 NaN NaN NaN NaN NaN NaN 14.302 2.995 1947 11 NaN NaN NaN NaN NaN NaN 4.468 -1.103 1947 12 NaN NaN NaN NaN NaN NaN -2.191 -1.366 1948 1 -7.558 -3.353 0 0 -7.558 -3.353 -6.781 -3.608 1948 2 -4.479 -1.379 0 0 -4.479 -1.379 -4.093 -2.025 1948 3 2.167 0.251 0 0 2.167 0.251 3.717 0.769 1948 4 7.722 -0.502 0 0 7.722 -0.502 9.570 0.315 1948 5 13.111 -0.832 0 0 13.111 -0.832 14.135 -0.840 1948 6 18.250 -0.624 0 0 18.250 -0.624 19.109 -0.797 1948 7 21.923 0.405 0 0 21.923 0.405 22.739 0.189 1948 8 21.333 0.709 0 0 21.333 0.709 21.852 0.196 1948 9 18.222 1.667 0 0 18.222 1.667 18.169 0.582 1948 10 10.278 0.002 0 0 10.278 0.002 10.642 -0.665 1948 11 7.667 3.127 0 0 7.667 3.127 8.997 3.426 1948 12 -0.667 1.190 0 0 -0.667 1.190 -0.441 0.384 1949 1 -0.556 3.650 0 0 -0.556 3.650 0.967 4.141 1949 2 0.056 3.156 0 0 0.056 3.156 1.058 3.127 1949 3 2.722 0.806 0 0 2.722 0.806 4.319 1.371 1949 4 9.111 0.887 0 0 9.111 0.887 10.153 0.898 1949 5 16.281 2.338 0 0 16.281 2.338 15.141 0.166 1949 6 21.278 2.403 0 0 21.278 2.403 21.396 1.489 1949 7 23.167 1.649 0 0 23.167 1.649 24.549 1.999 1949 8 22.000 1.375 0 0 22.000 1.375 22.595 0.938 1949 9 15.389 -1.166 0 0 15.389 -1.166 16.415 -1.171 1949 10 13.389 3.113 0 0 13.389 3.113 14.056 2.749 1949 11 3.056 -1.484 0 0 3.056 -1.484 5.457 -0.114 1949 12 -0.889 0.968 0 0 -0.889 0.968 0.300 1.125 1950 1 0.278 4.483 0 0 0.278 4.483 2.192 5.366 1950 2 -4.075 -0.975 0 0 -4.075 -0.975 -2.773 -0.705 1950 3 -1.889 -3.805 0 0 -1.889 -3.805 0.616 -2.332 1950 4 5.722 -2.502 0 0 5.722 -2.502 7.643 -1.613 1950 5 13.000 -0.943 0 0 13.000 -0.943 13.811 -1.164 1950 6 18.500 -0.374 0 0 18.500 -0.374 19.085 -0.821 1950 7 20.611 -0.907 0 0 20.611 -0.907 21.547 -1.003 1950 8 20.056 -0.569 0 0 20.056 -0.569 20.845 -0.811 1950 9 14.722 -1.833 0 0 14.722 -1.833 15.896 -1.690 1950 10 12.500 2.224 0 0 12.500 2.224 12.718 1.411 1950 11 5.500 0.961 0 0 5.500 0.961 6.987 1.416 1950 12 -2.444 -0.588 0 0 -2.444 -0.588 -2.152 -1.326 1951 1 -1.389 2.816 0 0 -1.389 2.816 -0.819 2.354 1951 2 -1.667 1.433 0 0 -1.667 1.433 -0.542 1.526 1951 3 1.889 -0.027 0 0 1.889 -0.027 3.687 0.739 1951 4 8.722 0.498 0 0 8.722 0.498 9.890 0.634 1951 5 14.667 0.723 0 0 14.667 0.723 15.323 0.348 1951 6 17.833 -1.041 0 0 17.833 -1.041 19.137 -0.769 1951 7 21.231 -0.287 0 0 21.231 -0.287 22.296 -0.253 1951 8 20.056 -0.569 0 0 20.056 -0.569 21.046 -0.611 1951 9 16.222 -0.333 0 0 16.222 -0.333 17.218 -0.368 1951 10 11.222 0.946 0 0 11.222 0.946 12.299 0.991 1951 11 2.167 -2.373 0 0 2.167 -2.373 3.833 -1.739 1951 12 -0.667 1.190 0 0 -0.667 1.190 -0.251 0.574 1952 1 -2.000 2.205 0 0 -2.000 2.205 -0.664 2.509 1952 2 -1.667 1.433 0 0 -1.667 1.433 -0.493 1.575 1952 3 1.000 -0.916 0 0 1.000 -0.916 2.610 -0.338 1952 4 9.500 1.276 0 0 9.500 1.276 10.985 1.729 1952 5 12.611 -1.332 0 0 12.611 -1.332 13.560 -1.415 1952 6 19.833 0.959 0 0 19.833 0.959 20.789 0.883 1952 7 23.222 1.704 0 0 23.222 1.704 23.907 1.357 1952 8 20.222 -0.402 0 0 20.222 -0.402 21.297 -0.360 1952 9 17.333 0.779 0 0 17.333 0.779 17.815 0.228 1952 10 8.944 -1.331 0 0 8.944 -1.331 9.516 -1.791 1952 11 5.389 0.849 0 0 5.389 0.849 6.558 0.986 1952 12 -0.500 1.357 0 0 -0.500 1.357 0.297 1.122 1953 1 -0.667 3.538 0 0 -0.667 3.538 0.010 3.183 1953 2 -0.500 2.600 0 0 -0.500 2.600 0.904 2.972 1953 3 2.556 0.640 0 0 2.556 0.640 4.444 1.496 1953 4 7.500 -0.724 0 0 7.500 -0.724 9.461 0.205 1953 5 -17.778 -31.721 1 0 NaN NaN 15.881 0.906 1953 6 NaN NaN NaN NaN NaN NaN 20.344 0.438 1953 7 NaN NaN NaN NaN NaN NaN 22.712 0.162 1953 8 NaN NaN NaN NaN NaN NaN 21.263 -0.393 1953 9 NaN NaN NaN NaN NaN NaN 18.247 0.661 1953 10 NaN NaN NaN NaN NaN NaN 12.427 1.120 1953 11 NaN NaN NaN NaN NaN NaN 6.774 1.203 1953 12 NaN NaN NaN NaN NaN NaN 1.637 2.462 1954 1 NaN NaN NaN NaN NaN NaN -3.814 -0.640 1954 2 NaN NaN NaN NaN NaN NaN 1.679 3.747 1954 3 NaN NaN NaN NaN NaN NaN 3.699 0.751 1954 4 NaN NaN NaN NaN NaN NaN 10.780 1.524 1954 5 NaN NaN NaN NaN NaN NaN 13.379 -1.597