% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34857 % Primary Name: BARNEGAT CITY % Record Type: TAVG % Country: United States % State: NJ % Latitude: 39.76667 +/- 0.00833 % Longitude: -74.10000 +/- 0.00833 % Elevation (m): 4.00 +/- 0.05 % # of Months: 80 % % Alternate Names: Missing Station ID - 280484 % % IDs: coop - 280484 % ncdc - 20018800 % wban - 13799 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e94c13ea6f0beaa0345ec679aaac962b % Raw Data Hash: 6a65db56069750a9e4d16a2db2c0470b % Adj Data Hash: fb93ad1ba3fb74ca331fd768c22c4775 % % 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 1938 9 NaN NaN NaN NaN NaN NaN 18.973 -0.895 1938 10 NaN NaN NaN NaN NaN NaN 13.717 0.148 1938 11 NaN NaN NaN NaN NaN NaN 9.490 1.367 1938 12 NaN NaN NaN NaN NaN NaN 2.651 0.139 1939 1 NaN NaN NaN NaN NaN NaN 0.959 0.686 1939 2 NaN NaN NaN NaN NaN NaN 3.688 2.526 1939 3 NaN NaN NaN NaN NaN NaN 5.941 0.398 1939 4 NaN NaN NaN NaN NaN NaN 10.181 -0.774 1939 5 NaN NaN NaN NaN NaN NaN 17.182 0.884 1939 6 NaN NaN NaN NaN NaN NaN 21.816 0.674 1939 7 NaN NaN NaN NaN NaN NaN 23.134 -0.770 1939 8 NaN NaN NaN NaN NaN NaN 24.576 1.181 1939 9 20.444 1.472 0 0 20.444 1.472 20.346 0.478 1939 10 14.556 1.882 0 0 14.556 1.882 13.753 0.184 1939 11 7.778 0.550 0 0 7.778 0.550 6.913 -1.210 1939 12 NaN NaN NaN NaN NaN NaN 2.924 0.412 1940 1 -4.333 -3.712 0 0 -4.333 -3.712 -4.981 -5.254 1940 2 0.722 0.455 0 0 0.722 0.455 0.584 -0.578 1940 3 2.222 -2.426 0 0 2.222 -2.426 2.958 -2.585 1940 4 6.722 -3.338 0 0 6.722 -3.338 8.236 -2.719 1940 5 13.500 -1.903 0 0 13.500 -1.903 15.410 -0.889 1940 6 19.778 -0.470 0 0 19.778 -0.470 20.943 -0.200 1940 7 21.889 -1.120 0 0 21.889 -1.120 23.649 -0.255 1940 8 21.722 -0.778 0 0 21.722 -0.778 21.756 -1.639 1940 9 18.556 -0.417 0 0 18.556 -0.417 18.478 -1.390 1940 10 11.778 -0.896 0 0 11.778 -0.896 11.245 -2.324 1940 11 7.667 0.439 0 0 7.667 0.439 8.159 0.036 1940 12 4.111 2.495 0 0 4.111 2.495 4.284 1.772 1941 1 -0.111 0.510 0 0 -0.111 0.510 -0.049 -0.323 1941 2 -0.889 -1.156 0 0 -0.889 -1.156 -0.748 -1.910 1941 3 1.667 -2.981 0 0 1.667 -2.981 2.585 -2.958 1941 4 9.667 -0.394 0 0 9.667 -0.394 13.100 2.144 1941 5 14.944 -0.459 0 0 14.944 -0.459 17.321 1.023 1941 6 18.889 -1.359 0 0 18.889 -1.359 20.789 -0.354 1941 7 20.944 -2.065 0 0 20.944 -2.065 23.493 -0.411 1941 8 21.111 -1.389 0 0 21.111 -1.389 22.541 -0.854 1941 9 19.556 0.583 0 0 19.556 0.583 20.936 1.068 1941 10 15.111 2.437 0 0 15.111 2.437 16.168 2.599 1941 11 9.111 1.883 0 0 9.111 1.883 9.660 1.537 1941 12 3.444 1.828 0 0 3.444 1.828 3.981 1.469 1942 1 -1.000 -0.379 0 0 -1.000 -0.379 -0.399 -0.672 1942 2 -1.111 -1.378 0 0 -1.111 -1.378 -0.511 -1.673 1942 3 4.889 0.241 0 0 4.889 0.241 6.706 1.163 1942 4 9.222 -0.838 0 0 9.222 -0.838 12.250 1.295 1942 5 15.111 -0.292 0 0 15.111 -0.292 18.100 1.802 1942 6 20.000 -0.247 0 0 20.000 -0.247 21.532 0.389 1942 7 23.222 0.213 0 0 23.222 0.213 24.390 0.486 1942 8 21.222 -1.278 0 0 21.222 -1.278 22.724 -0.671 1942 9 19.167 0.194 0 0 19.167 0.194 20.479 0.611 1942 10 13.722 1.048 0 0 13.722 1.048 14.217 0.648 1942 11 8.333 1.105 0 0 8.333 1.105 9.201 1.078 1942 12 0.222 -1.394 0 0 0.222 -1.394 0.326 -2.186 1943 1 -0.222 0.399 0 0 -0.222 0.399 0.514 0.240 1943 2 0.611 0.344 0 0 0.611 0.344 1.566 0.404 1943 3 3.667 -0.981 0 0 3.667 -0.981 5.706 0.163 1943 4 7.111 -2.949 0 0 7.111 -2.949 8.685 -2.270 1943 5 14.444 -0.959 0 0 14.444 -0.959 16.702 0.404 1943 6 22.333 2.086 0 0 22.333 2.086 23.802 2.660 1943 7 22.111 -0.898 0 0 22.111 -0.898 23.559 -0.346 1943 8 22.000 -0.500 0 0 22.000 -0.500 23.462 0.067 1943 9 18.944 -0.028 0 0 18.944 -0.028 19.213 -0.655 1943 10 13.444 0.771 0 0 13.444 0.771 12.484 -1.085 1943 11 7.667 0.439 0 0 7.667 0.439 7.450 -0.673 1943 12 1.111 -0.505 0 0 1.111 -0.505 0.876 -1.636 1944 1 1.833 2.455 0 0 1.833 2.455 1.342 1.068 1944 2 1.833 1.566 0 0 1.833 1.566 1.269 0.107 1944 3 3.833 -0.814 0 0 3.833 -0.814 4.393 -1.150 1944 4 8.944 -1.116 0 0 8.944 -1.116 9.996 -0.959 1944 5 15.444 0.041 0 0 15.444 0.041 18.322 2.024 1944 6 20.778 0.530 0 0 20.778 0.530 21.586 0.444 1944 7 22.444 -0.565 0 0 22.444 -0.565 24.225 0.320 1944 8 22.667 0.167 0 0 22.667 0.167 23.396 0.001 1944 9 19.722 0.749 0 0 19.722 0.749 20.499 0.631 1944 10 13.333 0.660 0 0 13.333 0.660 12.810 -0.759 1944 11 7.722 0.494 0 0 7.722 0.494 8.023 -0.100 1944 12 0.833 -0.783 0 0 0.833 -0.783 0.384 -2.128 1945 1 -2.667 -2.045 0 0 -2.667 -2.045 -2.527 -2.801 1945 2 0.833 0.566 0 0 0.833 0.566 0.951 -0.212 1945 3 7.667 3.019 0 0 7.667 3.019 10.665 5.122 1945 4 11.000 0.940 0 0 11.000 0.940 12.935 1.980 1945 5 13.667 -1.736 0 0 13.667 -1.736 15.232 -1.067 1945 6 19.889 -0.359 0 0 19.889 -0.359 21.472 0.329 1945 7 20.222 -2.787 0 0 20.222 -2.787 23.450 -0.455 1945 8 22.167 -0.333 0 0 22.167 -0.333 22.428 -0.967 1945 9 20.778 1.805 0 0 20.778 1.805 21.654 1.786 1945 10 13.778 1.104 0 0 13.778 1.104 13.160 -0.409 1945 11 9.444 2.216 0 0 9.444 2.216 9.703 1.580 1945 12 -0.056 -1.672 0 0 -0.056 -1.672 -0.650 -3.162 1946 1 1.111 1.733 0 0 1.111 1.733 1.440 1.166 1946 2 1.111 0.844 0 0 1.111 0.844 1.675 0.513 1946 3 7.778 3.130 0 0 7.778 3.130 9.664 4.121 1946 4 9.889 -0.171 0 0 9.889 -0.171 10.835 -0.120 1946 5 14.889 -0.514 0 0 14.889 -0.514 16.407 0.109 1946 6 NaN NaN NaN NaN NaN NaN 20.048 -1.094 1946 7 NaN NaN NaN NaN NaN NaN 22.922 -0.982 1946 8 NaN NaN NaN NaN NaN NaN 21.392 -2.003 1946 9 NaN NaN NaN NaN NaN NaN 20.623 0.755 1946 10 NaN NaN NaN NaN NaN NaN 15.364 1.795 1946 11 NaN NaN NaN NaN NaN NaN 10.638 2.515 1946 12 NaN NaN NaN NaN NaN NaN 4.003 1.491 1947 1 NaN NaN NaN NaN NaN NaN 4.354 4.080 1947 2 NaN NaN NaN NaN NaN NaN -1.574 -2.737 1947 3 NaN NaN NaN NaN NaN NaN 3.076 -2.467 1947 4 NaN NaN NaN NaN NaN NaN 11.304 0.349 1947 5 NaN NaN NaN NaN NaN NaN 15.939 -0.359