% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39069 % Primary Name: TABERG % Record Type: TAVG % Country: United States % State: NY % Latitude: 43.30000 +/- 0.00005 % Longitude: -75.61670 +/- 0.00005 % Elevation (m): 156.97 +/- 0.15 % # of Months: 33 % % Alternate Names: Missing Station ID - 308388 % % IDs: coop - 308388 % ghcnd - USC00308388 % ncdc - 12010153 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f837b54590bcff341750fc06a46b2f54 % Raw Data Hash: f6f6aca3071935e0f3cc56f2715e45c3 % Adj Data Hash: f0050ca830ed4f95d42beb3ac286fe8f % % 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 1904 8 NaN NaN NaN NaN NaN NaN 18.304 -1.569 1904 9 NaN NaN NaN NaN NaN NaN 15.136 -0.791 1904 10 NaN NaN NaN NaN NaN NaN 7.944 -1.830 1904 11 NaN NaN NaN NaN NaN NaN 1.869 -2.051 1904 12 NaN NaN NaN NaN NaN NaN -6.773 -4.057 1905 1 NaN NaN NaN NaN NaN NaN -8.006 -2.521 1905 2 NaN NaN NaN NaN NaN NaN -9.111 -4.292 1905 3 NaN NaN NaN NaN NaN NaN -0.335 -0.608 1905 4 NaN NaN NaN NaN NaN NaN 6.280 -0.729 1905 5 NaN NaN NaN NaN NaN NaN 12.850 -0.271 1905 6 NaN NaN NaN NaN NaN NaN 17.768 -0.534 1905 7 NaN NaN NaN NaN NaN NaN 20.901 0.073 1905 8 18.332 -1.180 0 0 18.332 -1.180 18.858 -1.014 1905 9 15.037 -0.530 0 0 15.037 -0.530 15.888 -0.040 1905 10 9.377 -0.036 0 0 9.377 -0.036 9.842 0.068 1905 11 2.640 -0.918 0 0 2.640 -0.918 2.352 -1.568 1905 12 -2.463 0.614 0 0 -2.463 0.614 -1.810 0.905 1906 1 -1.874 3.971 0 0 -1.874 3.971 -1.271 4.214 1906 2 -5.982 -0.803 0 0 -5.982 -0.803 -5.659 -0.841 1906 3 -3.719 -3.632 0 0 -3.719 -3.632 -3.263 -3.537 1906 4 NaN NaN NaN NaN NaN NaN 6.907 -0.102 1906 5 13.423 0.662 0 0 13.423 0.662 12.799 -0.323 1906 6 19.463 1.522 0 0 19.463 1.522 18.804 0.502 1906 7 21.296 0.829 1 0 NaN NaN 20.353 -0.475 1906 8 21.727 2.216 0 0 21.727 2.216 21.028 1.155 1906 9 17.972 2.405 0 0 17.972 2.405 17.694 1.767 1906 10 10.618 1.204 0 0 10.618 1.204 9.480 -0.294 1906 11 2.325 -1.233 0 0 2.325 -1.233 2.896 -1.023 1906 12 -5.769 -2.693 0 0 -5.769 -2.693 -4.946 -2.230 1907 1 -6.597 -0.751 0 0 -6.597 -0.751 -5.404 0.081 1907 2 -9.730 -4.551 0 0 -9.730 -4.551 -8.941 -4.123 1907 3 -0.303 -0.216 0 0 -0.303 -0.216 1.769 1.495 1907 4 3.793 -2.854 0 0 3.793 -2.854 3.917 -3.091 1907 5 9.774 -2.987 0 0 9.774 -2.987 9.494 -3.628 1907 6 17.522 -0.420 0 0 17.522 -0.420 16.412 -1.890 1907 7 20.052 -0.415 0 0 20.052 -0.415 20.060 -0.767 1907 8 16.785 -2.726 0 0 16.785 -2.726 18.213 -1.660 1907 9 16.568 1.001 0 0 16.568 1.001 16.461 0.534 1907 10 6.011 -3.402 0 0 6.011 -3.402 7.134 -2.640 1907 11 2.146 -1.412 1 0 NaN NaN 2.977 -0.943 1907 12 -2.339 0.738 0 0 -2.339 0.738 -1.785 0.931 1908 1 -6.716 -0.870 0 0 -6.716 -0.870 -5.336 0.149 1908 2 NaN NaN NaN NaN NaN NaN -7.796 -2.978 1908 3 -0.688 -0.601 0 0 -0.688 -0.601 0.681 0.408 1908 4 5.413 -1.234 0 0 5.413 -1.234 6.459 -0.550 1908 5 14.211 1.450 0 0 14.211 1.450 13.988 0.866 1908 6 18.467 0.525 0 0 18.467 0.525 18.701 0.398 1908 7 NaN NaN NaN NaN NaN NaN 21.463 0.635 1908 8 NaN NaN NaN NaN NaN NaN 18.761 -1.112 1908 9 NaN NaN NaN NaN NaN NaN 17.561 1.633 1908 10 NaN NaN NaN NaN NaN NaN 10.727 0.953 1908 11 NaN NaN NaN NaN NaN NaN 4.294 0.375 1908 12 NaN NaN NaN NaN NaN NaN -3.175 -0.459 1909 1 NaN NaN NaN NaN NaN NaN -3.904 1.581 1909 2 NaN NaN NaN NaN NaN NaN -2.483 2.335 1909 3 NaN NaN NaN NaN NaN NaN -1.274 -1.548 1909 4 NaN NaN NaN NaN NaN NaN 6.273 -0.736 1909 5 NaN NaN NaN NaN NaN NaN 12.456 -0.666 1909 6 NaN NaN NaN NaN NaN NaN 18.143 -0.159