% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35850 % Primary Name: NEW YORK BENSONHURST % Record Type: TAVG % Country: United States % State: NY % Latitude: 40.60000 +/- 0.00005 % Longitude: -73.96670 +/- 0.00005 % Elevation (m): 6.10 +/- 0.05 % # of Months: 34 % % IDs: coop - 305798 % ghcnd - USC00305798 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: ccbc3504c2a62a0bb1ecf295a09da063 % Raw Data Hash: 6fa815ce007f40df7b476a6506a26add % Adj Data Hash: eabb47368c824b56760993f1b748371c % % 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 1950 1 NaN NaN NaN NaN NaN NaN 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 2.611 3.584 0 0 2.611 3.584 -0.819 2.354 1951 2 2.111 1.979 0 0 2.111 1.979 -0.542 1.526 1951 3 5.500 0.352 0 0 5.500 0.352 3.687 0.739 1951 4 11.333 -0.123 0 0 11.333 -0.123 9.890 0.634 1951 5 17.056 -0.120 0 0 17.056 -0.120 15.323 0.348 1951 6 20.278 -1.829 0 0 20.278 -1.829 19.137 -0.769 1951 7 23.778 -0.972 0 0 23.778 -0.972 22.296 -0.253 1951 8 23.111 -0.746 0 0 23.111 -0.746 21.046 -0.611 1951 9 19.722 -0.065 0 0 19.722 -0.065 17.218 -0.368 1951 10 14.889 1.381 0 0 14.889 1.381 12.299 0.991 1951 11 6.500 -1.272 0 0 6.500 -1.272 3.833 -1.739 1951 12 3.611 2.236 0 0 3.611 2.236 -0.251 0.574 1952 1 2.667 3.640 0 0 2.667 3.640 -0.664 2.509 1952 2 2.611 2.479 0 0 2.611 2.479 -0.493 1.575 1952 3 4.611 -0.537 0 0 4.611 -0.537 2.610 -0.338 1952 4 11.944 0.488 0 0 11.944 0.488 10.985 1.729 1952 5 15.722 -1.453 0 0 15.722 -1.453 13.560 -1.415 1952 6 22.500 0.393 0 0 22.500 0.393 20.789 0.883 1952 7 25.667 0.916 0 0 25.667 0.916 23.907 1.357 1952 8 23.444 -0.412 0 0 23.444 -0.412 21.297 -0.360 1952 9 20.500 0.713 0 0 20.500 0.713 17.815 0.228 1952 10 12.778 -0.730 0 0 12.778 -0.730 9.516 -1.791 1952 11 8.667 0.895 0 0 8.667 0.895 6.558 0.986 1952 12 3.667 2.291 0 0 3.667 2.291 0.297 1.122 1953 1 3.145 4.118 0 0 3.145 4.118 0.010 3.183 1953 2 3.454 3.321 1 0 NaN NaN 0.904 2.972 1953 3 6.006 0.858 0 0 6.006 0.858 4.444 1.496 1953 4 10.532 -0.924 0 0 10.532 -0.924 9.461 0.205 1953 5 16.326 -0.850 0 0 16.326 -0.850 15.881 0.906 1953 6 21.647 -0.460 0 0 21.647 -0.460 20.344 0.438 1953 7 24.273 -0.478 0 0 24.273 -0.478 22.712 0.162 1953 8 23.552 -0.305 0 0 23.552 -0.305 21.263 -0.393 1953 9 20.548 0.761 0 0 20.548 0.761 18.247 0.661 1953 10 15.392 1.884 0 0 15.392 1.884 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 1954 6 NaN NaN NaN NaN NaN NaN 20.048 0.142 1954 7 NaN NaN NaN NaN NaN NaN 22.117 -0.433 1954 8 NaN NaN NaN NaN NaN NaN 20.598 -1.058 1954 9 NaN NaN NaN NaN NaN NaN 17.225 -0.362 1954 10 NaN NaN NaN NaN NaN NaN 13.502 2.194