% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26698 % Primary Name: PONTE VEDRA BEACH % Record Type: TAVG % Country: United States % State: FL % Latitude: 30.23330 +/- 0.00005 % Longitude: -81.38330 +/- 0.00005 % Elevation (m): 9.76 +/- 10.00 % # of Months: 31 % % Alternate Names: Missing Station ID - 87272 % % IDs: coop - 87272 % ghcnd - USC00087272 % ncdc - 12001383 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d18b97fab081e732e59699b6507d0683 % Raw Data Hash: 7f41d60c528b27b18569bd0e66e1dd70 % Adj Data Hash: 7afecd237d96ea2e065e1c4ef93b2128 % % 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 1940 3 NaN NaN NaN NaN NaN NaN 16.644 -1.118 1940 4 NaN NaN NaN NaN NaN NaN 19.153 -1.448 1940 5 NaN NaN NaN NaN NaN NaN 21.803 -1.909 1940 6 NaN NaN NaN NaN NaN NaN 26.110 0.106 1940 7 NaN NaN NaN NaN NaN NaN 26.724 -0.377 1940 8 NaN NaN NaN NaN NaN NaN 27.167 0.014 1940 9 NaN NaN NaN NaN NaN NaN 25.231 -1.116 1940 10 NaN NaN NaN NaN NaN NaN 21.308 -1.308 1940 11 NaN NaN NaN NaN NaN NaN 18.731 0.063 1940 12 NaN NaN NaN NaN NaN NaN 17.695 2.373 1941 1 NaN NaN NaN NaN NaN NaN 13.824 -0.488 1941 2 NaN NaN NaN NaN NaN NaN 11.450 -3.376 1941 3 14.348 -2.678 0 0 14.348 -2.678 14.910 -2.853 1941 4 19.647 -0.218 0 0 19.647 -0.218 20.870 0.270 1941 5 22.405 -0.572 0 0 22.405 -0.572 22.650 -1.062 1941 6 26.232 0.964 0 0 26.232 0.964 26.496 0.493 1941 7 26.445 0.079 0 0 26.445 0.079 27.005 -0.096 1941 8 27.374 0.957 0 0 27.374 0.957 28.113 0.960 1941 9 NaN NaN NaN NaN NaN NaN 27.161 0.815 1941 10 25.518 3.637 0 0 25.518 3.637 25.549 2.933 1941 11 18.487 0.554 0 0 18.487 0.554 19.526 0.858 1941 12 15.723 1.136 0 0 15.723 1.136 17.403 2.081 1942 1 11.692 -1.885 0 0 11.692 -1.885 13.439 -0.873 1942 2 10.630 -3.460 0 0 10.630 -3.460 11.477 -3.350 1942 3 14.955 -2.072 0 0 14.955 -2.072 16.756 -1.006 1942 4 18.537 -1.328 0 0 18.537 -1.328 19.812 -0.789 1942 5 22.585 -0.392 0 0 22.585 -0.392 23.380 -0.332 1942 6 26.215 0.947 0 0 26.215 0.947 26.098 0.095 1942 7 28.126 1.760 1 0 NaN NaN 28.018 0.916 1942 8 26.263 -0.154 0 0 26.263 -0.154 27.091 -0.061 1942 9 NaN NaN NaN NaN NaN NaN 26.842 0.496 1942 10 22.196 0.315 0 0 22.196 0.315 22.690 0.074 1942 11 18.998 1.066 0 0 18.998 1.066 19.856 1.188 1942 12 15.223 0.636 0 0 15.223 0.636 16.689 1.367 1943 1 14.561 0.985 0 0 14.561 0.985 15.741 1.429 1943 2 12.957 -1.134 0 0 12.957 -1.134 13.652 -1.175 1943 3 15.723 -1.304 0 0 15.723 -1.304 17.976 0.214 1943 4 19.630 -0.235 0 0 19.630 -0.235 20.024 -0.577 1943 5 24.415 1.438 1 0 NaN NaN 24.421 0.709 1943 6 26.923 1.655 0 0 26.923 1.655 26.963 0.959 1943 7 27.032 0.666 0 0 27.032 0.666 27.040 -0.062 1943 8 27.660 1.242 0 0 27.660 1.242 27.269 0.116 1943 9 25.638 0.028 0 0 25.638 0.028 26.027 -0.319 1943 10 21.195 -0.686 0 0 21.195 -0.686 20.885 -1.732 1943 11 16.327 -1.605 1 0 NaN NaN 17.662 -1.006 1943 12 NaN NaN NaN NaN NaN NaN 15.166 -0.156 1944 1 NaN NaN NaN NaN NaN NaN 13.668 -0.644 1944 2 NaN NaN NaN NaN NaN NaN 17.639 2.813 1944 3 NaN NaN NaN NaN NaN NaN 19.229 1.467 1944 4 NaN NaN NaN NaN NaN NaN 21.001 0.400 1944 5 NaN NaN NaN NaN NaN NaN 23.561 -0.151 1944 6 NaN NaN NaN NaN NaN NaN 27.139 1.135 1944 7 NaN NaN NaN NaN NaN NaN 26.234 -0.868 1944 8 NaN NaN NaN NaN NaN NaN 26.720 -0.433 1944 9 NaN NaN NaN NaN NaN NaN 27.549 1.203 1944 10 NaN NaN NaN NaN NaN NaN 21.700 -0.916 1944 11 NaN NaN NaN NaN NaN NaN 18.148 -0.520