% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5999 % Primary Name: PARAHYBA % Record Type: TAVG % Country: Brazil % Latitude: -7.10000 +/- 0.00500 % Longitude: -34.85000 +/- 0.00500 % Elevation (m): 27.00 +/- 0.50 % # of Months: 72 % % IDs: ca - 303000000016 % % Sources: Colonial Archive % % Site Hash: 40313723b9fa082fab1327cc98d52809 % Raw Data Hash: 4d9b959081dcea7772c43c6cb7bbf4d6 % Adj Data Hash: 4d9b959081dcea7772c43c6cb7bbf4d6 % % 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 1923 7 NaN NaN NaN NaN NaN NaN 23.095 -0.839 1923 8 NaN NaN NaN NaN NaN NaN 23.473 -0.546 1923 9 NaN NaN NaN NaN NaN NaN 24.411 -0.298 1923 10 NaN NaN NaN NaN NaN NaN 25.508 0.097 1923 11 NaN NaN NaN NaN NaN NaN 26.417 0.323 1923 12 NaN NaN NaN NaN NaN NaN 26.649 0.302 1924 1 NaN NaN NaN NaN NaN NaN 26.889 0.376 1924 2 NaN NaN NaN NaN NaN NaN 26.168 -0.512 1924 3 NaN NaN NaN NaN NaN NaN 26.248 -0.304 1924 4 NaN NaN NaN NaN NaN NaN 25.665 -0.408 1924 5 NaN NaN NaN NaN NaN NaN 24.968 -0.424 1924 6 NaN NaN NaN NaN NaN NaN 23.374 -1.143 1924 7 24.500 0.337 0 0 24.500 0.337 23.240 -0.694 1924 8 24.050 -0.198 0 0 24.050 -0.198 23.015 -1.004 1924 9 24.550 -0.389 0 0 24.550 -0.389 23.908 -0.801 1924 10 NaN NaN NaN NaN NaN NaN 24.819 -0.592 1924 11 NaN NaN NaN NaN NaN NaN 25.683 -0.412 1924 12 26.600 0.024 0 0 26.600 0.024 25.701 -0.646 1925 1 26.250 -0.493 0 0 26.250 -0.493 25.601 -0.913 1925 2 26.250 -0.659 0 0 26.250 -0.659 26.043 -0.636 1925 3 26.300 -0.482 0 0 26.300 -0.482 26.041 -0.511 1925 4 25.850 -0.452 0 0 25.850 -0.452 25.435 -0.638 1925 5 25.200 -0.422 0 0 25.200 -0.422 24.695 -0.698 1925 6 24.550 -0.196 0 0 24.550 -0.196 24.106 -0.411 1925 7 24.250 0.087 0 0 24.250 0.087 23.938 0.004 1925 8 24.000 -0.248 0 0 24.000 -0.248 23.707 -0.312 1925 9 25.200 0.261 0 0 25.200 0.261 24.653 -0.056 1925 10 25.950 0.309 0 0 25.950 0.309 25.512 0.101 1925 11 26.300 -0.024 0 0 26.300 -0.024 25.975 -0.120 1925 12 26.700 0.124 0 0 26.700 0.124 26.241 -0.106 1926 1 27.250 0.507 0 0 27.250 0.507 26.686 0.172 1926 2 27.750 0.841 0 0 27.750 0.841 27.119 0.439 1926 3 27.600 0.818 0 0 27.600 0.818 26.809 0.257 1926 4 26.750 0.448 0 0 26.750 0.448 26.296 0.223 1926 5 25.950 0.328 0 0 25.950 0.328 25.465 0.073 1926 6 24.750 0.004 0 0 24.750 0.004 24.020 -0.497 1926 7 23.700 -0.463 0 0 23.700 -0.463 23.887 -0.047 1926 8 NaN NaN NaN NaN NaN NaN 23.708 -0.311 1926 9 24.350 -0.589 0 0 24.350 -0.589 24.295 -0.414 1926 10 25.300 -0.341 0 0 25.300 -0.341 25.188 -0.224 1926 11 26.050 -0.274 0 0 26.050 -0.274 25.962 -0.132 1926 12 26.550 -0.026 0 0 26.550 -0.026 26.432 0.085 1927 1 26.700 -0.043 0 0 26.700 -0.043 26.339 -0.174 1927 2 26.500 -0.409 0 0 26.500 -0.409 26.444 -0.235 1927 3 26.150 -0.632 0 0 26.150 -0.632 26.112 -0.440 1927 4 25.450 -0.852 0 0 25.450 -0.852 25.522 -0.551 1927 5 25.450 -0.172 0 0 25.450 -0.172 25.236 -0.156 1927 6 24.400 -0.346 0 0 24.400 -0.346 24.064 -0.453 1927 7 23.450 -0.713 0 0 23.450 -0.713 23.476 -0.458 1927 8 24.100 -0.148 0 0 24.100 -0.148 24.103 0.084 1927 9 24.750 -0.189 0 0 24.750 -0.189 24.704 -0.005 1927 10 25.650 0.009 0 0 25.650 0.009 25.650 0.239 1927 11 26.250 -0.074 0 0 26.250 -0.074 26.191 0.096 1927 12 26.600 0.024 0 0 26.600 0.024 26.602 0.255 1928 1 26.800 0.057 0 0 26.800 0.057 26.741 0.227 1928 2 27.050 0.141 0 0 27.050 0.141 26.959 0.280 1928 3 26.600 -0.182 0 0 26.600 -0.182 26.379 -0.173 1928 4 25.800 -0.502 0 0 25.800 -0.502 25.842 -0.231 1928 5 25.100 -0.522 0 0 25.100 -0.522 24.911 -0.482 1928 6 24.300 -0.446 0 0 24.300 -0.446 24.422 -0.095 1928 7 23.500 -0.663 0 0 23.500 -0.663 23.647 -0.286 1928 8 23.700 -0.548 0 0 23.700 -0.548 23.638 -0.381 1928 9 24.200 -0.739 0 0 24.200 -0.739 24.121 -0.588 1928 10 25.250 -0.391 0 0 25.250 -0.391 25.048 -0.363 1928 11 25.700 -0.624 0 0 25.700 -0.624 25.788 -0.307 1928 12 26.250 -0.326 0 0 26.250 -0.326 26.093 -0.254 1929 1 26.600 -0.143 0 0 26.600 -0.143 26.397 -0.117 1929 2 26.500 -0.409 0 0 26.500 -0.409 26.431 -0.248 1929 3 26.050 -0.732 0 0 26.050 -0.732 25.951 -0.602 1929 4 25.900 -0.402 0 0 25.900 -0.402 25.813 -0.260 1929 5 25.050 -0.572 0 0 25.050 -0.572 24.878 -0.514 1929 6 24.100 -0.646 0 0 24.100 -0.646 23.981 -0.536 1929 7 23.350 -0.813 0 0 23.350 -0.813 23.291 -0.642 1929 8 23.450 -0.798 0 0 23.450 -0.798 23.720 -0.298 1929 9 24.700 -0.239 0 0 24.700 -0.239 24.518 -0.191 1929 10 25.400 -0.241 0 0 25.400 -0.241 25.084 -0.327 1929 11 26.150 -0.174 0 0 26.150 -0.174 25.869 -0.226 1929 12 26.200 -0.376 0 0 26.200 -0.376 25.903 -0.444 1930 1 26.000 -0.743 0 0 26.000 -0.743 25.773 -0.741 1930 2 26.400 -0.509 0 0 26.400 -0.509 26.223 -0.456 1930 3 26.350 -0.432 0 0 26.350 -0.432 26.367 -0.185 1930 4 25.750 -0.552 0 0 25.750 -0.552 25.614 -0.458 1930 5 25.350 -0.272 0 0 25.350 -0.272 25.249 -0.143 1930 6 24.400 -0.346 0 0 24.400 -0.346 24.311 -0.205 1930 7 23.600 -0.563 0 0 23.600 -0.563 23.715 -0.219 1930 8 23.750 -0.498 0 0 23.750 -0.498 23.780 -0.239 1930 9 24.800 -0.139 0 0 24.800 -0.139 24.658 -0.051 1930 10 NaN NaN NaN NaN NaN NaN 25.205 -0.206 1930 11 NaN NaN NaN NaN NaN NaN 26.355 0.260 1930 12 NaN NaN NaN NaN NaN NaN 26.963 0.616 1931 1 NaN NaN NaN NaN NaN NaN 26.911 0.397 1931 2 NaN NaN NaN NaN NaN NaN 27.096 0.417 1931 3 NaN NaN NaN NaN NaN NaN 27.178 0.626 1931 4 NaN NaN NaN NaN NaN NaN 26.265 0.192 1931 5 NaN NaN NaN NaN NaN NaN 25.398 0.006 1931 6 NaN NaN NaN NaN NaN NaN 24.530 0.014 1931 7 NaN NaN NaN NaN NaN NaN 24.038 0.104 1931 8 NaN NaN NaN NaN NaN NaN 23.864 -0.154 1931 9 NaN NaN NaN NaN NaN NaN 24.460 -0.249