% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37608 % Primary Name: PORTVILLE % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.03330 +/- 0.00005 % Longitude: -78.33330 +/- 0.00005 % Elevation (m): 435.90 +/- 0.05 % # of Months: 67 % % IDs: coop - 306789 % ghcnd - USC00306789 % ncdc - 20019616 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 833a45b141740fafc3aae69bdfe30686 % Raw Data Hash: 1edfed1d3e1ed18c97d645fddc3e93d8 % Adj Data Hash: 1edfed1d3e1ed18c97d645fddc3e93d8 % % 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 1961 11 NaN NaN NaN NaN NaN NaN 4.796 0.935 1961 12 NaN NaN NaN NaN NaN NaN -2.721 -0.083 1962 1 NaN NaN NaN NaN NaN NaN -6.113 -0.711 1962 2 NaN NaN NaN NaN NaN NaN -5.971 -1.333 1962 3 NaN NaN NaN NaN NaN NaN 0.273 -0.051 1962 4 NaN NaN NaN NaN NaN NaN 7.197 0.282 1962 5 NaN NaN NaN NaN NaN NaN 15.627 2.617 1962 6 NaN NaN NaN NaN NaN NaN 18.463 0.048 1962 7 NaN NaN NaN NaN NaN NaN 19.595 -1.327 1962 8 NaN NaN NaN NaN NaN NaN 19.682 -0.320 1962 9 NaN NaN NaN NaN NaN NaN 14.458 -1.625 1962 10 NaN NaN NaN NaN NaN NaN 10.701 0.795 1962 11 1.500 -2.221 0 0 1.500 -2.221 3.058 -0.804 1962 12 -5.722 -2.943 0 0 -5.722 -2.943 -5.038 -2.399 1963 1 -6.722 -1.180 0 0 -6.722 -1.180 -7.973 -2.571 1963 2 -8.278 -3.500 0 0 -8.278 -3.500 -8.728 -4.091 1963 3 2.167 1.983 0 0 2.167 1.983 1.618 1.294 1963 4 7.167 0.391 0 0 7.167 0.391 7.522 0.606 1963 5 12.056 -0.814 0 0 12.056 -0.814 11.532 -1.478 1963 6 17.611 -0.664 0 0 17.611 -0.664 18.583 0.167 1963 7 19.500 -1.281 0 0 19.500 -1.281 20.787 -0.134 1963 8 16.778 -3.083 0 0 16.778 -3.083 17.964 -2.038 1963 9 13.278 -2.665 0 0 13.278 -2.665 13.802 -2.281 1963 10 11.944 2.179 0 0 11.944 2.179 13.179 3.273 1963 11 5.778 2.056 0 0 5.778 2.056 6.456 2.594 1963 12 -5.778 -2.999 0 0 -5.778 -2.999 -6.506 -3.867 1964 1 -3.444 2.098 0 0 -3.444 2.098 -3.666 1.736 1964 2 -6.056 -1.278 0 0 -6.056 -1.278 -5.862 -1.225 1964 3 2.056 1.872 0 0 2.056 1.872 1.176 0.852 1964 4 7.389 0.614 0 0 7.389 0.614 7.593 0.677 1964 5 NaN NaN NaN NaN NaN NaN 14.246 1.236 1964 6 17.667 -0.608 0 0 17.667 -0.608 18.069 -0.346 1964 7 20.889 0.108 0 0 20.889 0.108 21.978 1.057 1964 8 17.500 -2.361 0 0 17.500 -2.361 17.870 -2.131 1964 9 15.111 -0.832 0 0 15.111 -0.832 15.738 -0.346 1964 10 7.889 -1.877 0 0 7.889 -1.877 8.672 -1.234 1964 11 5.444 1.723 0 0 5.444 1.723 6.136 2.274 1964 12 -0.944 1.834 0 0 -0.944 1.834 -2.215 0.424 1965 1 -6.167 -0.624 0 0 -6.167 -0.624 -6.378 -0.976 1965 2 -3.500 1.278 0 0 -3.500 1.278 -4.578 0.059 1965 3 -1.000 -1.183 0 0 -1.000 -1.183 -1.503 -1.826 1965 4 5.000 -1.775 0 0 5.000 -1.775 4.788 -2.127 1965 5 15.444 2.575 0 0 15.444 2.575 14.675 1.665 1965 6 16.333 -1.942 0 0 16.333 -1.942 17.066 -1.349 1965 7 NaN NaN NaN NaN NaN NaN 18.811 -2.111 1965 8 18.667 -1.194 0 0 18.667 -1.194 19.116 -0.885 1965 9 17.111 1.168 0 0 17.111 1.168 17.373 1.289 1965 10 8.556 -1.210 0 0 8.556 -1.210 8.706 -1.200 1965 11 3.556 -0.166 0 0 3.556 -0.166 4.202 0.340 1965 12 0.444 3.223 0 0 0.444 3.223 -0.411 2.227 1966 1 -6.556 -1.013 0 0 -6.556 -1.013 -6.979 -1.577 1966 2 -3.611 1.166 0 0 -3.611 1.166 -4.403 0.235 1966 3 2.167 1.983 0 0 2.167 1.983 1.953 1.629 1966 4 5.667 -1.109 0 0 5.667 -1.109 5.854 -1.062 1966 5 10.667 -2.203 0 0 10.667 -2.203 10.289 -2.721 1966 6 17.778 -0.497 0 0 17.778 -0.497 18.767 0.351 1966 7 NaN NaN NaN NaN NaN NaN 21.525 0.603 1966 8 19.778 -0.083 0 0 19.778 -0.083 19.876 -0.126 1966 9 14.056 -1.887 0 0 14.056 -1.887 14.695 -1.389 1966 10 8.222 -1.543 0 0 8.222 -1.543 9.060 -0.846 1966 11 4.222 0.501 0 0 4.222 0.501 5.412 1.551 1966 12 -2.000 0.779 0 0 -2.000 0.779 -2.616 0.022 1967 1 -0.778 4.765 0 0 -0.778 4.765 -1.901 3.501 1967 2 -5.389 -0.611 0 0 -5.389 -0.611 -6.852 -2.215 1967 3 0.944 0.761 0 0 0.944 0.761 -0.156 -0.480 1967 4 7.333 0.558 0 0 7.333 0.558 7.471 0.555 1967 5 8.833 -4.037 0 0 8.833 -4.037 8.796 -4.214 1967 6 19.278 1.003 0 0 19.278 1.003 20.566 2.151 1967 7 18.889 -1.892 0 0 18.889 -1.892 19.954 -0.968 1967 8 18.278 -1.583 0 0 18.278 -1.583 18.908 -1.093 1967 9 13.889 -2.054 0 0 13.889 -2.054 14.905 -1.178 1967 10 9.833 0.068 0 0 9.833 0.068 10.199 0.293 1967 11 1.000 -2.721 0 0 1.000 -2.721 2.145 -1.717 1967 12 -1.167 1.612 0 0 -1.167 1.612 -1.236 1.403 1968 1 -6.500 -0.958 0 0 -6.500 -0.958 -7.526 -2.124 1968 2 -6.944 -2.167 0 0 -6.944 -2.167 -7.500 -2.863 1968 3 3.111 2.928 0 0 3.111 2.928 1.943 1.619 1968 4 NaN NaN NaN NaN NaN NaN 9.343 2.427 1968 5 NaN NaN NaN NaN NaN NaN 10.782 -2.229 1968 6 17.444 -0.831 0 0 17.444 -0.831 17.762 -0.653 1968 7 20.167 -0.614 0 0 20.167 -0.614 20.762 -0.159 1968 8 19.833 -0.028 0 0 19.833 -0.028 20.058 0.057 1968 9 16.500 0.557 0 0 16.500 0.557 17.568 1.485 1968 10 10.278 0.512 0 0 10.278 0.512 11.274 1.368 1968 11 NaN NaN NaN NaN NaN NaN 4.485 0.624 1968 12 NaN NaN NaN NaN NaN NaN -4.093 -1.454 1969 1 NaN NaN NaN NaN NaN NaN -5.004 0.398 1969 2 NaN NaN NaN NaN NaN NaN -4.548 0.089 1969 3 NaN NaN NaN NaN NaN NaN -0.613 -0.937 1969 4 NaN NaN NaN NaN NaN NaN 8.246 1.330 1969 5 NaN NaN NaN NaN NaN NaN 12.426 -0.584 1969 6 NaN NaN NaN NaN NaN NaN 17.635 -0.780 1969 7 NaN NaN NaN NaN NaN NaN 20.883 -0.038 1969 8 NaN NaN NaN NaN NaN NaN 20.767 0.766 1969 9 NaN NaN NaN NaN NaN NaN 16.436 0.353 1969 10 NaN NaN NaN NaN NaN NaN 9.831 -0.075